senior ai/ml engineer

Yokogawa

<div>
 <strong>
  Not just a job, but a career
  <br/>
  <br/>
 </strong>
 Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
 <br/>
 <br/>
 Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for a Senior AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.
 <br/>
 <br/>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 You will be part of a Project Delivery team to:
 <br/>
 <br/>
 <ul>
  <li>
   Develop dynamic process simulation model to simulate various plant scenarios.
  </li>
  <li>
   Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.
  </li>
  <li>
   Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.
  </li>
  <li>
   Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.
  </li>
  <li>
   Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.
  </li>
  <li>
   Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.
  </li>
  <li>
   Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Technical Leadership &amp; Mentorship
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.
  </li>
  <li>
   Lead and mentor a team of process engineers and machine learning engineers.
  </li>
  <li>
   Review the process model and guide the team to develop plant scenarios in the dynamic simulation model accurately.
  </li>
  <li>
   Advocate best practices in Data analysis, Data pre-processing and machine learning model development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stakeholder Collaboration &amp; Communication
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.
  </li>
  <li>
   Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compliance &amp; Risk Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.
  </li>
  <li>
   Proactively address potential risks related to data privacy, model bias, and operational safety.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.
  </li>
  <li>
   10+ years of hands-on experience in AI/ML, with at least 4 years in a senior or lead role.
  </li>
  <li>
   Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.
  </li>
  <li>
   Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.
  </li>
  <li>
   Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.
  </li>
  <li>
   Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.
  </li>
  <li>
   Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.
  </li>
  <li>
   Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.
  </li>
  <li>
   Strong experience with classical machine learning, deep learning and reinforcement learning projects.
  </li>
  <li>
   Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
  </li>
  <li>
   Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications.
  </li>
  <li>
   Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)
  <br/>
  <br/>
 </strong>
 <strong>
  Programming &amp; Frameworks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Languages: Proficiency in Python and visual basic coding is essential.
  </li>
  <li>
   ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Engineering &amp; Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Personal Attributes (Special Personal Characteristics/ Interpersonal Skills)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Consistently demonstrates exceptional technical skills, competence, and productivity.
  </li>
  <li>
   Deeply passionate about transforming emerging technologies into practical, industrial solutions.
  </li>
  <li>
   Possesses excellent communication and interpersonal abilities.
  </li>
  <li>
   A fast learner with a strong aptitude for collaboration and teamwork.
   <br/>
   <br/>
  </li>
 </ul>
 Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
 <br/>
 <br/>
 Are you being referred to one of our roles? If so, ask your connection at Yokogawa
 <br/>
 <br/>
 about our Employee Referral process!
</div>


Senior AI/ML Engineer

<div><div>Not just a job, but a career</div><div>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</div><div></div><div>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</div><div></div><div>
About the Team<br>
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</div><div></div><div>
Job Description</div><div>
We are looking for a Senior AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.</div><div></div><div>
Job Overview</div><div></div><div>
You will be part of a Project Delivery team to:</div><ul><li>
Develop dynamic process simulation model to simulate various plant scenarios.</li><li>
Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.</li><li>
Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.</li><li>
Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.</li><li>
Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.</li><li>
Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.</li><li>
Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.</li></ul><div></div><div>
Key Responsibilities</div><div></div><div>
Technical Leadership &amp; Mentorship</div><ul><li>
A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.</li><li>
Lead and mentor a team of process engineers and machine learning engineers.</li><li>
Review the process model and guide the team to develop plant scenarios in the dynamic simulation model accurately.</li><li>
Advocate best practices in Data analysis, Data pre-processing and machine learning model development.</li></ul><div></div><div>
Stakeholder Collaboration &amp; Communication</div><ul><li>
Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.</li><li>
Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li></ul><div></div><div>
Compliance &amp; Risk Management</div><ul><li>
Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.</li><li>
Proactively address potential risks related to data privacy, model bias, and operational safety.</li></ul><div></div><div>
Requirements</div><ul><li>
Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.</li><li>
10+ years of hands-on experience in AI/ML, with at least 4 years in a senior or lead role.</li><li>
Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.</li><li>
Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.</li><li>
Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.</li><li>
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.</li><li>
Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.</li><li>
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.</li><li>
Strong experience with classical machine learning, deep learning and reinforcement learning projects.</li><li>
Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li><li>
Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications.</li><li>
Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.</li><li>
Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.</li></ul><div></div><div>
Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)</div><div>
Programming &amp; Frameworks</div><ul><li>
Languages: Proficiency in Python and visual basic coding is essential.</li><li>
ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.</li></ul><div></div><div>
Data Engineering &amp; Integration</div><ul><li>
Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.</li></ul><div></div><div>
Personal Attributes (Special personal characteristics/ interpersonal skills)</div><ul><li>
Consistently demonstrates exceptional technical skills, competence, and productivity.</li><li>
Deeply passionate about transforming emerging technologies into practical, industrial solutions.</li><li>
Possesses excellent communication and interpersonal abilities.</li><li>
A fast learner with a strong aptitude for collaboration and teamwork.</li></ul><div></div><div>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</div></div>

Teradyne

<div><p>At Universal Robots, part of Teradyne Inc., Our vision is to create a world where people work with robots, not like robots. And as the market leader with 75,000+ collaborative robots (cobots) already installed worldwide, we&rsquo;re well on the way to achieving it. We employ 1000+ people in offices across North America, South America, Europe and Asia and we&rsquo;re growing all the time. Our team is made up smart, creative people working at the forefront of automation. Together we find innovative solutions to some of the most important manufacturing issues facing businesses today. We dare to do what others find impossible- working with advanced technologies to change in the way businesses operate, So if you&rsquo;re looking to build your career with a ground-breaking technology company in dynamic environment with career advancement UR is the place for you.</p><p><b><br>
Our Purpose:</b></p><p><b><br>
TERADYNE</b>, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.</p><p><br>
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team &ndash; one that makes better decisions, drives innovation and delivers better business results<br>
<br>
<b>Opportunity Overview</b></p><p><br>
We're seeking an exceptional Senior AI/ML Engineer to join our advanced Physical AI engineering team at the forefront of industrial robotic innovation. This role sits at the intersection of cutting-edge AI technology and real-world product deployment, where you'll help define what's possible in physical AI for both autonomous mobile robots (AMRs) and industrial robotic arms.</p><p><br>
Our team is building differentiating solutions that push the boundaries of what robots can perceive, understand, and interact with in dynamic real-world environments. You'll work alongside world-class engineers to deliver full-stack AI solutions that don't just work in simulation&mdash;they thrive in our customers' facilities.</p><p><br>
Teradyne Robotics is transforming industrial automation through intelligent robotic solutions. Our portfolio includes Universal Robots (UR), the global leader in collaborative cobots, and Mobile Industrial Robots (MiR), pioneers in autonomous mobile robots. Together, we're building the future of flexible, intelligent automation for manufacturing and logistics environments worldwide.</p><p><br>
You'll lead the development and deployment of physical AI capabilities that enable robots to navigate, manipulate, and interact with their environments with unprecedented intelligence. This includes advancing our work in obstacle detection, object identification and classification, pose estimation, SLAM technologies, and precision localization systems.</p><p><br>
Working across our platform for simulation and data generation, you'll help engineer solutions that leverage diverse sensor modalities&mdash;from RGBD cameras and LiDAR to Time-of-Flight sensors&mdash;making informed trade-offs based on performance, cost, and application requirements. You'll be responsible for taking AI innovations from concept through production deployment and ongoing customer support.</p><p><br>
As a senior member of the team, you'll collaborate closely with R&amp;D teams at Universal Robots and Mobile Industrial Robots, helping shape the future of collaborative robotics and autonomous mobile platforms across the Teradyne Robotics portfolio.</p><p><br>
Critical to this role: You must approach your work with scientific rigor. This means deeply understanding the performance characteristics, quality metrics, and limitations of every model you build. You'll need to systematically analyze how successive training runs impact these qualities, maintaining clear visibility into what's improving, what's regressing, and why. We build solutions our customers trust, and that trust is earned through rigorous validation and honest assessment of capabilities and boundaries.</p><p><b><br>
All About You</b></p><br>
<ul><li>
Deep understanding of sensor technologies (RGBD, LiDAR, ToF, etc.) and the ability to architect solutions that leverage their respective strengths and limitations</li><li>
Experience shipping AI-powered products to market and supporting them in production customer environments</li><li>
Good software engineering fundamentals with experience integrating AI/ML capabilities into existing robotics software stacks</li><li>
Expertise in data science and data engineering&mdash;you understand that great AI solutions are built on great data</li><li>
Collaborative mindset with experience working in cross-functional teams building complete systems, not just isolated algorithms</li><li>
Demonstrated ability to rigorously evaluate ML model performance, establish meaningful metrics, and track quality across training iterations</li><li>
Experience utilizing simulation environments to accelerate engineering and validation workflows</li></ul><p><b><br>
Technical Expertise:</b></p><br>
<ul><li>
Core robotics AI concepts: obstacle detection, object identification and classification, pose estimation</li><li>
Various SLAM approaches and their trade-offs</li><li>
Localization techniques from precision to relative positioning</li><li>
Experience working with both robotic manipulators and mobile platforms</li><li>
Hands-on experience with NVIDIA Isaac platform and tools</li><li>
Background working with AMRs or industrial robotic arms in production settings</li><li>
Knowledge of and interest in the emerging field of Vision-Language-Action (VLA) models and their application to robotics</li><li>
Contributions to robotics or AI research communities</li></ul><p><b><br>
Why This Role Matters</b></p><p><br>
You'll be joining a team that's already delivered mature platforms for simulation and data generation across multiple problem domains. We're not just building technology for tomorrow&mdash;we're deploying it today, solving real problems for customers in industrial automation while continuously pushing the state of the art. At Teradyne Robotics, you'll have the unique opportunity to impact both mobile robotics and collaborative manipulation platforms used by thousands of customers worldwide.</p><p><br>
If you're energized by the challenge of making advanced AI work reliably in the physical world, we want to hear from you.</p><p><br>
This is an onsite position with remote flexibility. Some travel will be required.</p><p></p><p><b><br>
Compensation:</b></p><p></p><p><br>
The base salary range for this role is $219,800-$351,700. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.<br>
<br>
Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.</p><p></p><p><b><br>
Benefits:</b></p><p></p><p><br>
Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation &amp; holidays, tuition assistance programs, and more. Please click here to see details.</p></div>

Senior AI/ML Engineer, Physical AI Solutions (UR & MiR, North Reading, MA)

Siemens

<div>
 <strong>
  Siemens Digital Industries Software - Where today meets tomorrow.
  <br/>
  <br/>
 </strong>
 <strong>
  Let's make the difference together!
  <br/>
  <br/>
 </strong>
 We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation&mdash; helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
 <br/>
 <br/>
 We are looking for passionate Senior AI/ML Software Professionals / Engineers who will be a member of our technology and innovation team responsible for new technology development and innovation projects within our organization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, test, and deploy web applications and services using modern programming languages, frameworks, and tools for both front-end and back-end development.
  </li>
  <li>
   Develop products and prototypes in one or all the following areas: LLM (Large Language Model), NLP (Natural Language Processing), DL (Deep Learning), ML (Machine Learning), etc.
  </li>
  <li>
   Work with partners and customers to create the highest quality and cost-effective solutions.
  </li>
  <li>
   Drive the software production process; own given features from beginning to end, from mockups &amp; design documents/reviews to acceptance testing and deployment.
  </li>
  <li>
   Produce high-quality and innovative deliverables for our development teams and customers.
  </li>
  <li>
   Conform to Siemens processes, quality standards, and guidelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BSc., MSc. or Ph.D. in Computer Engineering, Computer Science, Mathematics, or in related areas
  </li>
  <li>
   Experience in developing web applications for diverse industries is a must.
  </li>
  <li>
   Minimum of 4 years of professional experience in a similar role is required.
  </li>
  <li>
   Proficiency in multiple programming languages such as Python, Java, and/or JavaScript, is a must, and knowledge of UI frameworks like ReactJS and Angular is a plus.
  </li>
  <li>
   Understanding of data structures, data modeling, and software architecture
  </li>
  <li>
   Hands-on experience in experience in web/cloud and mobile application development for AI, ML-based solutions.
  </li>
  <li>
   Hands-on experience in designing and developing software applications for web/cloud and IoT platforms (AWS, Google Cloud, Microsoft Azure, or IBM Bluemix, etc.) is required.
  </li>
  <li>
   Hands-on experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) is a plus.
  </li>
  <li>
   Knowledge of virtualization technologies like Docker, and Kubernetes is a plus.
  </li>
  <li>
   Passionate about developing simple, clean, and attractive code.
  </li>
  <li>
   Strong problem-solving and analytical skills.
  </li>
  <li>
   Proficiency in English
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are Siemens
  <br/>
  <br/>
 </strong>
 A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
 <br/>
 <br/>
 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
 <br/>
 <br/>
 Transform the everyday
 <br/>
 <br/>
 <strong>
  Working at Siemens Software
  <br/>
  <br/>
 </strong>
 <strong>
  Why us?
  <br/>
  <br/>
 </strong>
 Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
</div>


Senior AI/ML Software Engineer

Spanidea Systems

<p><b>No C2C or vendor involvement. No sponsorship provided.</b></p><p><b>Role: Senior AI / ML Engineer (Automation &amp; Agentic AI)</b></p><p><b>Experience:</b> 10+ years<br/><b>Location:</b> Santa Clara, CA (Hybrid)</p><p><b>Role Overview</b></p><p>We are looking for a highly experienced <b>AI / ML Engineer</b> with a strong <b>data engineering and applied AI background</b> to lead automation initiatives across <b>code generation and test automation</b>. This role will work closely with core engineering teams to design, build, and scale <b>AI-driven and agentic automation solutions</b> that improve developer productivity and software quality.</p><p><b>Key Responsibilities</b></p><ul><li>Lead and drive <b>AI-powered automation</b> initiatives for <b>code generation, refactoring, and test automation</b></li><li>Design and implement <b>Agentic AI systems</b> using modern LLM frameworks and orchestration tools</li><li>Collaborate with engineering teams to embed AI/ML solutions into existing development and CI/CD workflows</li><li>Build, train, fine-tune, and evaluate ML and LLM models using structured and unstructured data</li><li>Apply advanced <b>data engineering and MLOps practices</b> to ensure scalable and reliable AI solutions</li><li>Stay current with the <b>latest AI/ML, LLM, and Agentic AI advancements</b> and translate them into practical implementations</li><li>Define best practices, architectures, and governance for AI-driven automation</li></ul><p><b>Required Qualifications</b></p><ul><li>12+ years of experience in <b>AI/ML engineering</b>, with a strong <b>data-centric background</b></li><li>Deep expertise in <b>machine learning, deep learning, and LLM-based systems</b></li><li>Hands-on experience with <b>code generation, test automation, or developer productivity tools</b></li><li>Strong understanding of <b>Agentic AI concepts</b>, multi-agent systems, and AI orchestration</li><li>Proficiency in <b>Python</b> and modern ML frameworks (TensorFlow, PyTorch, etc.)</li><li>Experience working with large datasets, data pipelines, and feature engineering</li><li>Solid knowledge of <b>MLOps</b>, model deployment, and monitoring in production environments</li><li>Ability to work cross-functionally with senior engineering stakeholders</li><li>Background in software engineering, DevOps, or CI/CD automation</li><li>Experience implementing AI governance, security, and compliance best practices #IT</li></ul><p>Job Types: Full-time, Contract</p><p>Pay: $120,000.00 - $200,000.00 per year</p><p>Benefits:</p><ul><li>Employee assistance program</li><li>Health insurance</li><li>Professional development assistance</li><li>Referral program</li></ul><p>Experience:</p><ul><li>Built LLM agents for code, refactor &amp; test automation: 5 years (Required)</li><li>Designed agentic AI for CI/CD test automation at scale apps: 5 years (Required)</li><li>AI/ML: 10 years (Required)</li><li>Leadership: 3 years (Required)</li></ul><p>Work Location: Hybrid remote in San Jose, CA 95110</p>

AI/ML Architect - Agentic AI/Gen AI

NS IT Solutions

<p><b>Role: AI/ML Engineer with Gemini Enterprise</b><br>
<b>Location: 100% Remote</b><br>
<b>Duration: 12+ Months</b><br>
<b>
</b><br>
<b>NOTE: Candidate must be very strong with Gemini Enterprise and should have end to end experience.</b><br>
<b>
</b><br>
<b>Job Summary:</b><br>
We are seeking a high-caliber Senior AI/ML Engineer to lead the development and integration of advanced Generative AI solutions. The ideal candidate must possess expert-level proficiency in the Gemini Enterprise ecosystem (Vertex AI) and a proven track record of deploying production-grade LLM applications. You will be responsible for architecting scalable AI systems, optimizing model performance, and ensuring enterprise-grade security and reliability.<br>
<br>
<b>Responsibilities:</b><br>
Gemini Implementation: Design and deploy end-to-end solutions using Gemini within the Google Cloud Vertex AI environment.<br>
RAG Architecture: Build and optimize Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources and vector databases.<br>
Model Tuning: Perform supervised fine-tuning and utilize advanced prompt engineering techniques to align Gemini models with specific business logic.<br>
Performance Optimization: Monitor, evaluate, and iterate on model latency, throughput, and accuracy.<br>
Security &amp; Compliance: Implement enterprise-grade safety filters, grounding techniques, and data privacy protocols inherent to Gemini Enterprise.<br>
<br>
<b>Requirements:</b><br>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.<br>
Minimum of 5 years in an ML-focused role, with at least 1-2 years dedicated to Generative AI and LLM deployment.<br>
Google Cloud Professional ML Engineer certification is a significant plus.<br>
<br>
<b>Gemini Enterprise (Critical)</b><br>
Deep experience with Vertex AI Studio, Model Garden, and Vertex AI Search/Conversation.<br>
Proficiency in leveraging Gemini&rsquo;s multimodal capabilities (Text, Image, Video, Audio) and long-context windows (up to 2M tokens).<br>
Expertise in Function Calling and Extensions within the Gemini framework to connect LLMs to external APIs and databases.<br>
<br>
<b>Core AI/ML Skills</b><br>
Programming: Expert-level Python.<br>
Deep Learning<br>
NLP &amp; LLMs<br>
Vector Databases<br>
<br>
<b>Vishal (Victor) Verma | Assistant Manager</b><br>
<b>vishal@nsitsolutions.com</b><br>
<b>NS IT Solutions</b><br>
<b>www.nsitsolutions.com</b></p>

AI/ML Engineer

Provectus

<div></div><div><div><div><p>USA</p>
</div></div><p>About project</p>
<div><p><b>About Provectus
</b></p><p>Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare &amp; Life Sciences, Retail &amp; CPG, Media &amp; Entertainment, Manufacturing, and Internet businesses. Our team combines deep technical expertise with a consultative approach to deliver innovative AI solutions that create lasting business impact.</p>
<p><b>Position Impact
</b></p><p>As a Senior AI/ML Engineer Consultant, you'll be responsible for the technical implementation of sophisticated AI solutions while mentoring junior team members and establishing best practices. You'll have the opportunity to solve complex technical challenges while growing into a trusted technical advisor for our enterprise clients.</p>
</div>
<p>What You'll Do:</p>
<ul><li>Design and build enterprise-grade AI/ML systems end-to-end &mdash; from data pipeline through model development, deployment, and production monitoring &mdash; given functional and non-functional requirements.</li>
<li>Develop an experimentation roadmap.</li>
<li>Set up a reproducible experimentation environment and maintain experimentation pipelines.</li>
<li>Monitor and maintain ML models in production to ensure optimal performance.</li>
<li>Develop robust, production-quality Python code and reusable software modules that power data processing workflows, ML pipelines, and AI-driven applications &mdash; going well beyond notebook-style scripting.</li>
<li>Leverage cloud-native data and ML services (AWS stack preferred: SageMaker, EMR, S3, Lambda, ECR).</li>
<li>Conduct technical discovery workshops with enterprise clients, contributing to solution architecture and proposal development with a full-stack technical perspective.</li>
<li>Lead technical delivery for major client initiatives.</li>
<li>Drive adoption of MLOps best practices and technical standards.</li>
<li>Mentor junior engineers and shape the team's technical direction.</li>
<li>Evaluate and champion new technologies and frameworks.</li>
</ul>
<p>What You'll Bring:</p>
<ul><li>5+ years of hands-on ML engineering experience.</li>
<li>A bachelor's degree in Computer Science, Mathematics, or a related field is required. Master's degree is preferred.</li>
<li>Comfortable with standard ML algorithms and underlying math.</li>
<li>Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems.</li>
<li>Practical experience with solving classification and regression tasks in general, feature engineering.</li>
<li>Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).</li>
<li>Experience with MLOps, strong track record of delivering production ML systems.</li>
<li>Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.</li>
<li>Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).</li>
<li>Python expertise, Docker.</li>
<li>Excellent communication and problem-solving skills.</li>
<li>Excellence in technical leadership and mentoring.</li>
<li>Prior experience in consulting or professional services.</li>
<li><div>Will be a plus:</div></li>
<li><div><ul><li>Experience with deep learning models.</li></ul>
<ul><li>Experience with machine learning pipelines to orchestrate complicated workflows.</li></ul>
<ul><li>Experience with Spark/Dask.</li></ul>
</div></li></ul><p>What We Offer:</p>
<ul><li>Opportunity to lead the technical implementation of cutting-edge AI solutions.</li>
<li>A clear path to the Solution Architect role.</li>
<li>Exposure to diverse technical challenges across industries.</li>
<li>Professional development and certification support.</li>
<li>Flexible, remote-first workplace.</li>
<li>Comprehensive benefits, including health, dental, vision, 401(k) with company match, and unlimited PTO.</li></ul></div>

Machine Learning Engineer - Senior Consultant

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