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field_job_occupational_field_parents_all

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<h3>Job Description</h3>
Job Description
Are you looking for an opportunity to independently service a territory with the ability to spend most of that time outdoors? What if that opportunity included competitive pay and a generous benefits package, with the largest HVAC preventive maintenance company in the nation? The BFC Solutions team is excited to meet you to explore a Filter Technician role open near you! 
As a Filter Tech you will enjoy the following benefits:
Monday- Friday workday, plus overtime as needed, to include weekends competitive pay rate up to $23/hour
Weekly paycheck 
Company take-home vehicle, dedicated to company use
Company phone 
Overnight travel with expenses paid
The BFC benefits package includes:
<ul>
<li>Health insurance</li>
<li>Vision insurance</li>
<li>Dental insurance</li>
<li>401(k) with employer matching</li>
<li>8 paid holidays</li>
<li>Paid time off</li>
<li>Multiple opportunities for career advancement</li>
</ul>
As a BFC Solutions Filter Technician, you will replace air filters and perform basic HVAC maintenance primarily in rooftop air ventilation and HVAC systems for retail and commercial customers.
Job Requirements:
<ul>
<li>Must be at least 21 years of age to operate the company vehicle.</li>
<li>Must possess and maintain a valid driver's license and have a good driving record (no DUIs or multiple infractions, subject to monthly review).</li>
<li>Must live within 40 miles of the designated region.</li>
<li>Must be comfortable and confident working at heights up to 40 feet above ground level and using extension ladders.</li>
<li>Must weigh less than 275 pounds to meet ladder safety and weight limit requirements.</li>
<li>Must be comfortable working outside in all weather conditions.</li>
<li>Proven success working independently with remote supervision.</li>
<li>Must be willing and able to work overtime as required.</li>
<li>Must be able to lift and carry up to 75 pounds</li>
<li>Overnight travel required during peak times. Meals and accommodation are paid for by the company. Additional details are to be provided during your interview with the hiring manager.</li>
</ul>
Preferred work experience includes any of or a combination of the following:
<ul>
<li>Facility and/or grounds maintenance</li>
<li>Construction</li>
<li>HVAC</li>
<li>Cable installation</li>
<li>Route driving</li>
<li>Roofing</li>
</ul>
#ind123

Filter Technician 1

<h3>Job Description</h3>
Job DescriptionApply now: AI Engineer , location is hybrid onsite The start date is ASAP for this 1 year contract position. Job Title: AI Engineer Location-Type: Hybrid, 3 days on-site Start Date Is: August 2025 Duration: 1 year Compensation Range: $62.94 to $83.92/hr Job Description: The implementation of AI systems across the company presents a significant opportunity to enhance teaching and learning, research, and administrative operations while freeing operational time and cost for reinvestment. To realize this value, specialized expertise is required that does not currently exist within the central IT organization. The proposed AI Engineer, AI Operations Specialist, and AI Prompt Engineer roles represent critical first capabilities needed to further design, implement, and maintain enterprise grade AI systems and their supporting data pipelines universitywide Requirements :
<ul>
<li> AI/ML Development Expertise: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. </li>
<li> Software Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. </li>
<li> Data Pipeline Engineering: Extensive experience with end-to-end data pipelines using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, GCP), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker, Kubernetes), with proficiency in Python, SQL, and version control/CI/CD practices. </li>
<li> Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data preparation, feature engineering, model training, validation, deployment, and monitoring in production. </li>
<li> Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. </li>
<li> Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or GCP), with knowledge of cloud-native AI services. </li>
<li> Solution Architecture: Ability to design scalable, secure, and efficient AI system architectures that meet enterprise requirements and performance standards. System Integration: Ability to integrate AI solutions with existing enterprise systems, APIs, databases, and authentication services to create cohesive user experiences. </li>
<li> Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments. </li>
<li> Security Awareness: Knowledge of security best practices for AI systems, including data protection, model security, and prevention of adversarial attacks. </li>
<li> Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. </li>
<li> AI Ethics and Governance: Understanding of ethical considerations in AI development, including bias mitigation, fairness, transparency, and compliance with relevant regulations. Problem-Solving: Exceptional problem-solving skills to troubleshoot complex AI system issues and optimize performance in real-world applications. </li>
<li> Project Management: Ability to manage AI development projects, prioritize tasks, and deliver solutions on schedule and within scope. </li>
<li> Cross-functional Collaboration: Demonstrated ability to work effectively with diverse stakeholders, translating business requirements into technical specifications and explaining technical concepts to non-technical audiences. </li>
<li> Communication Skills: Excellent verbal and written communication skills to document systems, present findings, and collaborate with cross-functional teams. </li>
<li> Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred. </li>
<li> Minimum of 5 years of experience in AI/ML engineering roles, with at least 2 years working with production AI systems in enterprise environments. </li>
<li> Experience with AI system implementation in higher education or similar complex organizational settings preferred</li>
</ul>

AI Engineer

<h3>Job Description</h3>
Job Description
Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a DDI Engineer for our client in the Financial Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Permanent position, and the client is looking for someone to start immediately.
Duration: Full-time
Location: Merrimack, NH or Westlake, TX (Hybrid - 2 weeks Onsite, 2 weeks Remote in a month)
Salary: $130,000/Annually
Role: DDI Engineer
Primary Skills: DNS
Role Description: The DDI Engineer must have 5+ years of experience.
The Skills You Bring:
- 3–5 years of experience supporting network and DDI (DNS, DHCP, IPAM) infrastructure
- Hands-on experience with BIND, Infoblox, or other DDI solutions
- Strong ability to troubleshoot DNS and DHCP issues
- Experience managing and deploying cloud-based infrastructure
- Familiarity with observability tools for monitoring server environments
- Proficiency in Python, Ansible, or Shell scripting
- Working knowledge of Red Hat Enterprise Linux
Responsibilities:
- Communicate clearly and effectively, whether you're collaborating with teammates or presenting technical concepts to non-technical audiences.
- Take the initiative to identify and resolve issues before they impact service
- Ability to work independently or as part of a team.
- Attention to detail helps you spot anomalies in DNS configurations and logs that others might miss.
- Bring a structured approach to problem-solving and can explain your thought process to others.
- Adaptable and open to learning new tools and technologies to improve infrastructure reliability and performance.
- Understand the importance of documentation and knowledge sharing to support team success.
The Value You Deliver:
- Supporting and maintaining critical DNS and DHCP infrastructure to ensure reliable name resolution and IP address management across enterprise environments
- Coordinating with internal teams to implement changes, troubleshoot issues, and optimize performance of DDI systems
- Monitoring and analyzing DNS metrics, traffic, and logs to proactively identify and mitigate potential service disruptions
- Integrating observability tools to enhance visibility into system health and performance, enabling faster incident response and root cause analysis
- Collaborating with cloud and network engineering teams to align DNS architecture with evolving hybrid and multi-cloud strategies
Education: Bachelor’s degree
Experience: Minimum 5+ years of experience
Relocation: This position will not cover relocation expenses
Travel: No
Local Preferred: Yes
Note: Must be able to work on a W2 basis (No C2C)
Recruiter Name: Himanshu Dhar
Recruiter Phone: 484.383.7196
Benefits:
This is a direct hire position, and the hired applicant will receive our client’s benefits package.
Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

DDI Engineer

<h3>Job Description</h3>
Job DescriptionSalary: Starting at $46,300/year 
Joining the team at Confluence Behavioral Health you can expect an experienced and supportive community focused on advancing the professional skills of our team members. We share a mission to treat young adults suffering from mental health, emotional, and relational challenges in a humanist, caring, and well-boundaried way. As a small and inclusive team, Confluence pays close attention to our communitys shared goals of being growth oriented, an honest and supportive work environment, and well balanced professional and personal lives.
 
We are looking for curious and compassionate individuals that would like to develop and fine tune their existing skills in Human Services, Communication, Adventure Based Activities, and Leadership Development. Confluence is ready to invest the time and energy into helping you become the exceptional team member today that will set you up to be a leader tomorrow.
 
Join our team for a year and you will receive multiple professional certifications, ample paid time off, benefits that include options for relocation funding, student loan repayment, and all of the adventures that New England has to offer during your 6 day long off shifts.
 
 
The Role:
<ul>
<li>8 days on, 6 days off.</li>
<li>Be a Near Peer Mentor for participants.</li>
<li>Develop professional skills and relationships.</li>
<li>Utilize strong interpersonal skills with participants and coworkers.</li>
<li>Facilitate and participate in daily Confluence program activities.</li>
<li>Collaborate with the clinical team while providing insights and observations.</li>
<li>Facilitate experiential outdoor and adventure programming</li>
<li>Receive up to 3 hours of education and training each shift.</li>
<li>Continually learn therapeutic and outdoor skills through hands-on experience and weekly onsite trainings.</li>
</ul>
 
Experience and Qualifications:
<ul>
<li>Non-Seasonal; We Aim to work with Developing Professionals.</li>
<li>Bachelor's Degree preferred, not required.</li>
<li>Physically capable of backpacking with a full backpack on uneven terrain.</li>
<li>Curious, Compassionate, and Courageous.</li>
<li>Must have CPR/First Aid Certification complete before hire date</li>
</ul>
 
A Week in the Life:
<ul>
<li>4 days of onsite programming with our clinical and residential team, 2 days of offsite adventure programming, and a rest and recovery day.</li>
<li>Outdoor and adventure activities may include: hiking, camping, xc skiing, snowshoeing, canoeing, rock climbing, teambuilding.</li>
<li>Farmhouse activities may include: diet and nutrition, arts and crafts, therapeutic groups, community building, fun and games!</li>
<li>130 acres of woods, trails, fields and water on property </li>
</ul>
 
Certifications and Skill Trainings provided:
<ul>
<li>WFR + CPR</li>
<li>Crisis De-Escalation and Management</li>
<li>Water Safety Course</li>
<li>Clinical Education and Skills in:
<ul>
<li>Cognitive Behavioral Therapy</li>
<li>Dialectic Behavioral Therapy</li>
<li>Acceptance and Commitment Therapy</li>
<li>Motivational Interviewing</li>
</ul>
</li>
<li>Safe Food Handling</li>
<li>Additional Certifications Available Upon Request</li>
</ul>
 
Compensation and Benefits:
<ul>
<li>Salary starting at $44,000/Year</li>
<li>Work Fewer than 200 days a year</li>
<li>Clear Path for Promotions</li>
<li>Continued Education and Trainings</li>
<li>Paid Time Off</li>
<li>Health Insurance</li>
<li>Relocation Bonus*</li>
<li>Commitment Completion Bonus*</li>
<li>Long Weekends/Off-shifts</li>
</ul>

Field Mentor

<h3>Job Description</h3>
Job Description
LMI Technologies, recognized as one of Canada’s Best Workplaces, is a medium-sized technology company built on a culture of openness, respect and professional excellence. At LMI our staff work passionately toward the common goal of designing and delivering innovative 3D machine vision solutions to OEMs and System Integrators working in industrial factory automation around the world. The result of this teamwork is high-performance, easy-to-implement and cost-effective 3D sensor technologies that deliver the best results in even the most challenging 3D inline inspection applications.
What will you do as an Applied AI Modeling Engineer?&nbsp; LMI Applied AI Modeling Engineers solve tough factory inspection applications using state of the art AI models.&nbsp; As an Applied AI Modeling Engineer, you will work directly with customers to develop custom inspection solutions.&nbsp; You are responsible for sensor specification, data collection and wrangling, AI model pipeline design and training, and model runtime performance.&nbsp; You will also be working hand in hand with the software engineering team to advance the Inspection Gadget runtime platform and with the internal AI R&amp;D team to develop new AI models for customer applications. &nbsp; &nbsp;
<ul>
<li>Works with Field Application Engineers to qualify inspection opportunities.</li>
<li>Determines all vision sensor specifications for 2D and 3D applications,</li>
<li>Designs, trains, and optimizes AI model pipelines for customer applications using state of the art open source models and custom models from AI R&amp;D team.</li>
<li>Work with Solutions Team engineers to optimize model runtime performance.</li>
<li>Last mile configuration of Gadget App including layout, image annotations, and graphs and Gadget OS including controller and services (sensor, automation, pipeline).</li>
<li>Responsible for coordinating customer engagements, pilot deployment and production scaling.</li>
<li>Provides input to AI R&amp;D team to help with prioritization.</li>
<li>Proactively contributes to and implements continuous improvement initiatives.</li>
<li>Adheres to LMI Employee Policy Manual.</li>
</ul>
What do you need to be successful?
<ul>
<li>BS/MS/PhD with 0-3 years of related professional experience.</li>
<li>Fluent: Python, TensorFlow, OpenCV, Numpy, SciKit Learn and other ML.</li>
<li>Superb knowledge of AI modeling techniques and trends, especially CNN based model architectures.</li>
<li>Familiarity with semantic segmentation/FCN, object detectors, auto-encoder, GAN, etc.</li>
<li>Demonstrated experience extracting / applying software from open source repos.</li>
<li>Excellent problem solving skills in the face of ambiguity using a clear understanding of facts and implementation of test plans and solution strategies.</li>
<li>Solid interpersonal skills to be effective in a team environment.</li>
<li>Exceptional verbal and written communication skills with proficiency using Google products as an asset.</li>
<li>Exceptional organizational and prioritization skills.</li>
<li>Self-motivated, have a positive attitude and a results oriented approach to business.</li>
<li>A valid passport and the ability to travel domestically up to 20%.</li>
</ul>
How to submit your interest?
If you are interested in this exciting opportunity and working for a fast-growing global technology company with an inspiring and engaging workplace environment, please submit your application to our Human Resources team in confidence by clicking the “Apply Now” button.
While we appreciate your interest in LMI very much, we are only able to respond to candidates selected for further consideration. We look forward to talking to you about the possibilities of beginning a rewarding new chapter of your career!
Why being inclusive is important to us?
At LMI Technologies, we are an Equal Opportunity employer and we value the diversity of the people we hire and serve. We strive to build and grow our team that fosters variety in backgrounds, perspectives, experiences and skills. We embrace inclusiveness in our workplace, so we can utilize each person’s talents and strengths.
If you are interested in working for a fast-growing global technology company with an inspiring and engaging workplace environment, we invite you to apply and talk about the possibilities of beginning a rewarding new chapter of your career.
We assure you, once you complete your application, your information is safe with us. To learn more about how we use your personal data, please review our Privacy Policy (<a href="https://lmi3d.com/privacy-policy" target="_blank">https://lmi3d.com/privacy-policy</a>).
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wXFkkIcM6b

Applied AI Modeling Engineer

<h3>Job Description</h3>
Job Description Senior Autonomy Engineer Sea Machines Robotics is a fast-growing startup specializing in autonomous technology for marine vessels. The world’s oceans convey 90% of global commerce. We’re applying practical A.I. to disrupt the massive marine and maritime transportation market. Our tech provides ships and workboats the intelligence to operate autonomously and remotely, and which increases safety for maritime crews, and radically improves operator productivity. Job Summary: We are seeking a Senior Autonomy Engineer to join our Software team working on advanced autonomy for our marine products. The candidate will work closely with the user interface team, motion planning and controls team, and customer support team.&nbsp; Key Responsibilities:
<ul>
<li>Develop algorithms, ensuring safety and reliability for autonomous marine vessels.</li>
<li>Develop, test, and integrate advanced software for marine vessel autonomy.&nbsp;</li>
<li>Test and validate features through unit testing, simulation testing and hardware-in-loop testing.</li>
<li>Implement features based on end-user requirements.</li>
<li>Participate in field testing &amp; trials.&nbsp;</li>
<li>Work closely with customer support team and resolve customer issues.&nbsp;</li>
</ul>
Qualifications:
<ul>
<li>BS in Computer Science, Computer Engineering, Robotics, or other related engineering field.&nbsp;</li>
<li>5+ years of experience in C++ and Python software development for commercial products.&nbsp;</li>
<li>5+ years of experience developing autonomy software in complex integrated dynamic hardware applications, e.g., path planning, obstacle avoidance, sensor fusion, map building, etc.&nbsp;</li>
<li>Strong background in dynamic modeling, control theory, system identification and convex optimization.</li>
<li>Experienced in full software life cycle development.&nbsp;</li>
</ul>
<ul>
<li>Experience collaborating with other functional teams to seamlessly integrate software and hardware systems.&nbsp;</li>
<li>Good communications skills (verbal and written), ability to communicate complex ideas clearly and convincingly.&nbsp;</li>
<li>Comfortable with a fast-paced development schedule.&nbsp;</li>
<li>Job Type: Full-time&nbsp;</li>
</ul>
 Benefits:&nbsp;
<ul>
<li>401(k)&nbsp;</li>
<li>Dental insurance&nbsp;</li>
<li>Disability insurance&nbsp;</li>
<li>Flexible spending account&nbsp;</li>
<li>Health insurance&nbsp;</li>
<li>Life insurance&nbsp;</li>
<li>Paid time off&nbsp;</li>
<li>Parental leave&nbsp;</li>
<li>Vision insurance&nbsp;</li>
</ul>
 &nbsp;
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y28L4s5st4

Senior Autonomy Engineer

<h3>Job Description</h3>
Job Description
Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. 
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day.
Opportunity
Plume Cloud Core Team is looking for bright and ambitious Senior Software Engineers to continue delivering industry-leading innovation at a rapid pace. Due to the massive scale requirements of our platform, you will be solving challenging problems on a daily basis using cutting edge technologies and advanced architectural patterns involving distributed systems, reactive streaming, and stateful services. This is a high impact role with immense growth opportunities and will truly put your software engineering skills to the test.
What You'll Do 
<ul>
<li>Participate in all stages of the software design lifecycle working in multi-disciplinary teams spanning cloud, embedded, front-end web/mobile, data, and product</li>
<li>Write clean, maintainable code, and perform peer code-reviews</li>
<li>Solve challenging scale, integration, and architectural problems</li>
<li>Deploy, operate, and troubleshoot applications in a Kubernetes ecosystem</li>
<li>Perform rotating on-call duties as part of production support</li>
</ul>
What You'll Bring
<ul>
<li>Education Requirements: BS/MS/PhD in Computer Science, Electrical Engineering or related technical field</li>
<li>5+ years of industry experience in writing production code</li>
<li>High proficiency in writing idiomatic code, preferably in Java, Scala, Node.Js, or Rust</li>
<li>Strong understanding of algorithms, data structures, and object-oriented programming</li>
<li>Fundamental understanding of computer networking, operating systems, and databases</li>
<li>Strong analytical and problem-solving skills</li>
<li>Strong oral and written communication skills</li>
</ul>
Total Compensation package would include: anticipated base compensation range of $125,000.00 - $146,500.00 + bonus + equity + benefits. Benefits include: a 401k plan and a company match, basic life insurance plus unparalleled health, dental, vision and other benefits and perks. Please see here for more details.
An employee's base salary and its position within the range may depend on a number of factors including job related knowledge, education, skills, experience and other business related considerations. Published ranges are provided in good faith at the time of posting.
#RemoteWork #LI-Remote #WorkFromHome #RemoteJob #WFH
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. 
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. 
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Senior Cloud Engineer

<h3>Job Description</h3>
Job Description
Company Description&nbsp;
The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale.
With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with AI by solving data engineering and modeling problems for business users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI.
As an AI/ML Engineer at Ikigai Labs, you will be part of a high-performing team responsible for optimizing and deploying ML solutions to maximize performance and scalability. We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in collaborative problem-solving.
Key Responsibilities:
<ul>
<li>ML Optimization and Deployment:&nbsp;Develop and deploy machine learning models for optimal performance and scalability.</li>
<li>Productivity Tools Development:&nbsp;Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKS.</li>
<li>Model Architecture:&nbsp;Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems.</li>
<li>Research Adaptation:&nbsp;Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications.</li>
<li>Collaborative Development:&nbsp;Work with cross-functional teams to integrate AI and ML solutions that drive business value.</li>
<li>Data Handling:&nbsp;Manage large datasets and build ML pipelines for data processing and training.</li>
<li>ETL/ELT Processes:&nbsp;Design and develop scalable data integration processes.</li>
<li>Predictive Modeling Platform:&nbsp;Develop an on-demand predictive modeling platform using gRPC.</li>
<li>Cloud and Containerization:&nbsp;Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challenges.</li>
<li>Stakeholder Management:&nbsp;Provide occasional support to our customer success team.</li>
</ul>
Technologies We Use:
<ul>
<li>Languages:&nbsp;Python3, C++, Rust, SQL</li>
<li>Frameworks:&nbsp;PyTorch, TensorFlow, Docker</li>
<li>Databases:&nbsp;Postgres, Elasticsearch, DynamoDB, RDS</li>
<li>Cloud:&nbsp;Kubernetes, Helm, EKS, Terraform, AWS</li>
<li>Data Engineering:&nbsp;Apache Arrow, Dremio, Ray</li>
<li>Miscellaneous:&nbsp;Git, Jupyterhub, Apache Superset, Plotly Dash</li>
</ul>
Qualifications:
<ul>
<li>Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level)</li>
<li>Strong understanding of data structures, data modeling, algorithms, and software architecture.</li>
<li>Proficient in probability, statistics, and algorithm development.</li>
<li>Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib).</li>
<li>(Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm).</li>
<li>Proficiency in Python, AWS services, and ETL/ELT pipelines.</li>
<li>Understanding of key software design principles, design patterns, and testing best practices.</li>
<li>Experience with Kubernetes and/or EKS is a plus.</li>
<li>Ability to learn quickly in a fast-paced, agile environment.</li>
<li>Excellent organizational, time management, and communication skills.</li>
<li>Willingness to engage in pair programming, share knowledge, and provide and receive constructive feedback.</li>
<li>Strong problem-solving skills and the ability to take initiative.</li>
</ul>
Equal Opportunity Employment:
Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law.
If you are passionate about machine learning and eager to make an impact, we would love to hear from you. Apply today to join the Ikigai Labs team and help us build the future of AI.
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EuewxIXrTt

Machine Learning Engineer (I, II, Senior)

<h3>Job Description</h3>
Job Description
Summary:
Perform repairs to customers’ equipment in a timely and professional manner. Act as liaison between customer and Parts Department to ensure that proper parts are ordered as needed. Communicate with Service Desk on each service call to ensure proper billing and customer resolution. 
Essential Duties &amp; Responsibilities: Repairs
<ul>
<li>Arrive on-site ready to work on equipment as assigned and indicated by customer. </li>
<li>Carry out repairs in a timely and professional manner to ensure customer satisfaction and long-term relationships. </li>
<li>Send the job report to the Service Desk before leaving the site, ensuring that reports are complete and contain model and serial numbers of equipment serviced.</li>
<li>All parts that need to be ordered for site need to be included in the MSI job. This includes model and serial numbers for all equipment. </li>
<li>Ensure parts inventory in van is adequate to increase ratio of completing repair calls in one visit.</li>
<li>Ensure company laptop/cellular software is current and kept in good working condition. </li>
<li>Abide by all company policies and directives.</li>
</ul>
Customer Service
<ul>
<li>Ensure that communication with customer, their employees, and patrons are always courteous and professional.</li>
<li>Call ahead as requested to customer locations, check-in with customer and checkout communicating closure or needs to repair.</li>
<li>Identify and communicate equipment sales opportunities. </li>
<li>Identify and communicate Planned Maintenance (PM) opportunities if possible. </li>
<li>Distribute literature as requested (flyers and other promotional communications).</li>
<li>Ensure that your uniform is clean with no tears or large stains, ordering replacements as needed, to always ensure professional appearance. </li>
</ul>
Administration
<ul>
<li>Ensure E- mail communications and responses are done in a timely manner. </li>
<li>Be available by cellular phone until 5:00pm Monday through Friday and during assigned on-call weekends. </li>
<li>Travel to the Yankee Office for meetings, training, etc. as required. </li>
<li>Submit vacation and other time-off requests for approval at least one week in advance.</li>
<li>Be prepared for overnight trip requests as requested. </li>
<li>Submit timesheets as required, following necessary guidelines and procedures. </li>
<li>Adhere to all safety guidelines when repairing equipment including lock-out-/tag-out notices, hazardous material use, eye protection, safe lifting, electrical wiring safety guidelines, and ventilation guidelines.</li>
<li>Adhere to all safe driving guidelines when operating company vehicles including always wearing seatbelts, hand-free use of mobile devices only, adherence to speed limits and other laws. </li>
</ul>
<ul>
<li>Report traffic accidents or any workplace injuries immediately per Company Policy to both the Field Service Manager and Human Resource Manager.</li>
</ul>
Physical Demands &amp; Requirements
<ul>
<li>Performing maintenance and repairs requires considerable use of arms and legs and frequent (33-66%) climbing, bending, kneeling, and stooping. </li>
<li>Must be able to regularly lift 35 pounds and occasionally carry 50 pounds. </li>
<li>Must be able to drive and sit in van for up to three hours at a time stopping and getting out to stretch as needed. </li>
</ul>
Work Environment:
Work environments vary depending on job location. Environment may include exposure to dust, heat, dirt, and other chemicals used in the laundry business. 
Qualifications
<ul>
<li>High School Diploma with 1-3 years of related experience. </li>
<li>Previous experience with laundry equipment preferred.</li>
<li>Training and education in electrical and mechanical repairs.</li>
<li>Experience reading electrical schematics is preferred.</li>
<li>Knowledge of machines and tools, including their design, uses, repair and maintenance. </li>
<li>Valid Driver’s License with a clean MVR Record. </li>
<li>Valid gas license preferred in appropriate jurisdictions.</li>
</ul>

Field Service Technician

<h3>Job Description</h3>
Job Description
Kitchen Exhaust/Hood Cleaning Tech.- Third Shift
 
Expand your CAREER now! 
NELBUD is growing and we want you to grow with us.
 
 
Who Are We?
We are modernizing the ways of Fire Protection, Kitchen Exhaust Hood Cleaning, Grease Trap Services, and more
 
<ul>
<li>
Hood – kitchen hood cleaning, technical services, and repair
</li>
<li>
Fire – Fire protection &amp; suppression systems
</li>
<li>
Grease – grease trap cleaning and line jetting
</li>
</ul>
 
Your Typical Day
This is a very physically demanding job that has great growth potential. Our technicians climb inside of the hood systems as well as climb on the roof with pressure washers to ensure the entire system is free of all grease.
<ul>
<li>
Clean rooftop exhaust fans and surrounding areas
</li>
<li>
Installation of auxiliary items including access panels, hinge kits, and grease containment systems
</li>
<li>
Provide exceptional customer service while proudly representing NELBUD
</li>
</ul>
 
How do we invest in YOU? 
<ul>
<li>
Growth – internal growth opportunities 
</li>
<li>
Generous PTO – plus 8 observed holidays
</li>
<li>
Continuous safety training and development training - We will teach you and get you certified 
</li>
<li>
All-around health insurance – health, dental, vision, and life
</li>
<li>
2nd Chance Company - we give opportunities to hard-working individuals who just need a chance
</li>
<li>
Access to your money sooner with our Pay on Demand benefit!
</li>
</ul>
 
What Will You Bring? 
<ul>
<li>
Ability to work overnight varying shift times
</li>
<li>
Ability to access and tolerate small spaces and work high places - technicians will be inside exhaust systems and outside on the roof nightly in various weather conditions
</li>
<li>
Previous experience in a physically demanding job is strongly preferred - this job is physically demanding and can be dirty at times. 
</li>
</ul>
 
To be considered for a driving position you must comply with ALL of the following
<ul>
<li>
Hold a valid driver's license
</li>
<li>
Be at least 20 years old
</li>
<li>
Have a minimum of 3 years of driving experience 
</li>
</ul>
 
 
We love what we do. We know you will, too. By leveraging technology and the talents of our world-class staff we are changing the way people think about their career! 
Only qualified candidates will be contacted via email. 
Come visit us at <a href="https://www.nelbud.com" target="_blank">https://www.nelbud.com</a>

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