ai ml engineer

Interon IT Solutions

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer (Python, AWS, GenAI)
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 <br/>
 <strong>
  Location:
 </strong>
 Reston, VA (In-person interviews required)
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  Candidate Requirement:
 </strong>
 Local to East Coast only
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 <strong>
  Job Description
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  <br/>
 </strong>
 Client is seeking an AI/ML Engineer to design and deliver end-to-end AI/ML and Generative AI solutions in a cloud-native AWS environment. The ideal candidate will have strong Python engineering skills, experience deploying ML/GenAI workloads on AWS, and hands-on expertise building RAG pipelines and MLOps workflows.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement end-to-end AI/ML and Generative AI solutions using Python, including training, evaluation, optimization, and deployment.
  </li>
  <li>
   Build and maintain cloud-native applications on AWS using Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
  </li>
  <li>
   Develop scalable, high-performance Python microservices using FastAPI/Flask for data pipelines, real-time analytics, and model inference.
  </li>
  <li>
   Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM-powered solutions (chatbots, summarization, semantic search, anomaly detection).
  </li>
  <li>
   Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and Infrastructure-as-Code using Terraform/CloudFormation.
  </li>
  <li>
   Build and support MLOps workflows: model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong hands-on experience in Python development for AI/ML and GenAI solutions.
  </li>
  <li>
   Proven experience working with AWS services for application and ML deployments.
  </li>
  <li>
   Experience building APIs/microservices using FastAPI or Flask.
  </li>
  <li>
   Hands-on experience with RAG, embeddings, and vector databases.
  </li>
  <li>
   Experience with CI/CD and IaC (Terraform/CloudFormation).
  </li>
  <li>
   Strong understanding of MLOps practices and production model monitoring.
  </li>
 </ul>
</div>


AI/ML Engineer

Radiance Technologies Inc.

<div><div>Work Location: Office &amp; Onsite at NASIC</div><div></div><div>
Radiance Technologies is seeking an experienced AI/ML Engineer to support the National Air and Space Intelligence Center (NASIC). The selected candidate will design, develop, test, and deliver AI/ML components to advance the Intelligence Community&rsquo;s (IC) ability to characterize complex adversary threats with speed and accuracy. This role involves integrating modernized analytic tools, leveraging relevant data sources, and delivering scalable AI/ML solutions within government cloud architectures.</div><div></div><div>
You will design, integrate, and optimize full-lifecycle ML pipelines, from data ingestion and model training to deployment and monitoring, ensuring all solutions meet DoW and Intelligence Community security and compliance standards.</div><div>
You will evaluate emerging technologies, assessing their ability to achieve long-term, reliability, scalability, and mission success. This role requires ability to integrate advanced AI/ML capabilities within secure environments, and a commitment to delivering solutions that adhere to federal security and compliance standards.</div><div></div><div>
Required Qualifications:</div><ul><li><div>
Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</div></li><li><div>
U.S Citizenship with the ability to obtain and maintain a TS/SCI security clearance.</div></li><li><div>
3 + Years of direct work experience</div></li><li><div>
Proven experience in designing, developing, and deploying AI/ML solutions.</div></li><li><div>
Practical experience with scalable cloud-native applications and event-driven architecture.</div></li><li><div>
Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.</div></li><li><div>
Experience with Kubernetes-based platforms and CI/CD pipelines.</div></li><li><div>
Experience collaborating with multidisciplinary technical teams and supporting customer-facing technical engagements</div></li></ul><div></div><div>
Key Responsibilities-</div><div></div><div>
Tool Integration:</div><ul><li><div>
Integrate modernized analytic tools into AI/ML capabilities.</div></li><li><div>
Develop user-friendly interfaces for AI/ML tools.</div></li><li><div>
Incorporate monitoring services, including user-enabled monitoring, model drift detection, and model demand tracking.</div></li></ul><div></div><div>
Data Requirements:</div><ul><li><div>
Leverage relevant data sources and types for AI/ML models, including connections to future data sources.</div></li><li><div>
Provide access to datasets necessary for training, testing, and validating AI/ML models.</div></li><li><div>
Document and ensure reproducibility of data preparation steps.</div></li></ul><div></div><div>
AI/ML Services:</div><ul><li><div>
Deliver a scalable AI/ML software stack supporting the AI/ML lifecycle across NASIC.</div></li><li><div>
Ensure AI/ML components operate within the architecture, data pipelines, and security frameworks defined by the government.</div></li><li><div>
Design processes for easy sharing of AI/ML models.</div></li></ul><div></div><div>
AI/ML Models:</div><ul><li><div>
Design scalable, maintainable, shareable, and adaptable AI/ML models.</div></li><li><div>
Train models using government-approved datasets and document training procedures and evaluation results.</div></li><li><div>
Define retraining triggers, update procedures, and versioning practices to ensure ongoing model accuracy and reliability.</div></li><li><div>
Adhere to industry-accepted AI/ML development principles, including transparency, accountability, and responsible use of data and AI/ML.</div></li></ul><div></div><div>
Desired:</div><ul><li><div>
Kubernetes certifications (CKA, CKAD)</div></li><li><div>
Active TS/SCI</div></li></ul><div></div><div>
Radiance Technologies 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.</div></div>

Fintech

<div><p><b>Join Fintech in Tampa, Florida as an AI/ML Engineer!</b></p>
<p>
We are seeking an AI Engineer to design, build, and operate AI solutions that drive measurable business outcomes. Will have to partner with product managers, data engineers, and analysts to convert use cases into production-grade services&mdash;spanning traditional ML, generative AI (LLMs), and intelligent automation&mdash;using modern MLOps practices. Will have to own model lifecycle, scalability, observability, and security-by-design to ensure responsible, reliable AI in production.</p>
<p><b>
Essential Functions:</b></p>
<p>
Project Responsibility: End-to-end AI solutions.</p>
<p><b>
Technical Competencies:</b></p>
<p><b>
Data Analysis</b></p>
<ul>
<li>Extensive experience in data analysis using Python.</li>
</ul>
<p><b>Machine Learning &amp; Deep Learning</b></p>
<ul>
<li>Proficient with classical ML models and deep learning frameworks (PyTorch/TensorFlow)</li>
<li>Strong grasp of model evaluation, optimization, and training best practices</li>
</ul>
<p><b>Generative AI &amp; LLMs</b></p>
<ul>
<li>Experience with LLMs, embeddings, prompt engineering, and RAG</li>
<li>Familiarity with fine‑tuning (LoRA/QLoRA) and applying guardrails/safety filters</li>
</ul>
<p><b>MLOps / GenAIOps</b></p>
<ul>
<li>CI/CD pipelines for ML/LLM, model registry, automated deployments</li>
<li>Monitoring for drift, performance, hallucination rate, and service reliability</li>
</ul>
<p><b>Cloud &amp; Infrastructure</b></p>
<ul>
<li>Hands‑on with cloud ML platforms preferably Azure</li>
<li>Strong understanding of containerization (Docker) and IaC (Terraform/Bicep)</li>
</ul>
<p><b>Data Platform</b></p>
<ul>
<li>Familiarity with Moderns data platform like Vector DB/Graph Databases</li>
<li>Familiarity with different AI Architecture layers</li>
<li>Implementing data quality checks, lineage, and observability</li>
</ul>
<p><b>Observability &amp; Reliability</b></p>
<ul>
<li>Setting up logs, metrics, dashboards (App Insights, Prometheus/Grafana)</li>
</ul>
<p><b>Responsible AI &amp; Security</b></p>
<ul>
<li>Applying model cards, risk assessments, bias &amp; safety evaluations</li>
<li>Implementing RBAC, secret management, network isolation</li>
</ul>
<p><b>Soft Skills:</b></p>
<ul>
<li>Cross-functional collaboration with product and engineering teams</li>
<li>Technical mentoring for junior engineers</li>
<li>Analytical thinking for complex data problems</li>
<li>Process improvement and efficiency focus</li>
<li>Evaluates vendor tools for specific data use cases</li>
<li>Provides technical feedback on vendor product roadmaps</li>
<li>Problem‑solving mindset &ndash; ability to break down ambiguous business problems into actionable AI/ML solutions</li>
<li>Communication clarity &ndash; explains complex technical concepts in simple, actionable terms to non‑technical stakeholders</li>
<li>Adaptability &amp; learning agility &ndash; stays current with fast‑evolving AI/LLM technologies and adjusts approaches quickly</li>
<li>Critical thinking &ndash; evaluates risks, tradeoffs, and ethical considerations objectively</li>
<li>Product orientation &ndash; focuses on business impact, user experience, and measurable value</li>
</ul>
<p><b>Qualifications:</b></p>
<ul>
<li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Engineering, Statistics, or related field.</li>
<li>1+ years&rsquo; experience in AI implementation and 3+ years of ML experience.</li>
</ul>
<p><b>Our Benefits:</b></p>
<ul>
<li>Employer Matched 401K</li>
<li>Company Paid Medical Insurance Option for Employee and Dependent Children</li>
<li>Company Paid Dental Insurance for Employee</li>
<li>Company Paid Vision Insurance for Employee</li>
<li>Company Paid Long and Short-Term Disability</li>
<li>Company Paid Life and AD&amp;D Insurance</li>
<li>18 Paid Vacation Days a Year</li>
<li>Six Paid Holidays</li>
<li>Employee Recognition Programs</li>
<li>Incentive Compensation</li>
<li>Community Outreach Opportunities</li>
<li>Business Casual Dress Code</li>
</ul>
<p><b>About Fintech:</b></p>
<p><i>
For over 35 years, Fintech LLC has redefined how over 1.1 million B2B relationships buy and sell goods and services in the retail, hospitality, and alcohol industries. This integrated platform centralizes invoice data and payments, POS and delivery data, product and cost compliance, price book management, and industry market data using AI, seamless integration capabilities, and proprietary automation technology.</i></p>
<p><i>
Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech&rsquo;s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E-Verify.</i></p></div>

Torch Technologies

<div><p><b>Torch Technologies
</b></p><p>Thank you for your interest in employment with Torch Technologies. We are a 100% employee-owned, Certified Great Place To Work and named Best Places to Work in Huntsville/Madison County, headquartered in Huntsville, AL. Our team provides superior research, development, and engineering services to the Federal Government and Department of War. As one of the nation&rsquo;s top 100 defense companies, the services we provide directly support the men and women who serve our country. Our corporate mission sums up the pride our employee-owners take in the work we do: &ldquo;Lighting the Pathway of Freedom&rdquo;. And, as a Certified Evergreen ESOP, we have made the commitment to grow and sustain our company for the next 100 years! Come grow with us!
</p><p></p><p>Torch Technologies is looking to expand our team with another skilled AI/ML Engineer with an emphasis on generating appropriately distributed training data and deploying AI models on constrained computing platforms, such as the Nvidia Jetson architecture.
</p><p></p><p><b>As an AI/ML Engineer your duties will include the following, but are not limited to:
</b></p><p></p><ul><li><p>Develop methods for producing synthetic training data to make models robust and generalize-able.
</p></li><li><p>Develop, train and optimize AI/ML models (including large generative models and LLM's) for various civil engineering applications.
</p></li><li><p>Develop and implement efficient deployment strategies for these models on constrained computing platforms, especially Nvidia Jetson.
</p></li><li><p>Work closely with the cross-functional team to integrate these AI solutions into our robotics system.
</p></li><li><p>Conduct research and contribute to the development and enhancement of our machine learning systems and frameworks.
</p></li><li><p>Manage and monitor the performance of deployed models and adjust as necessary.
</p></li></ul><p></p><p><b>Required Qualifications:
</b></p><p></p><ul><li><p>U.S. Citizenship
</p></li><li><p>Bachelor&rsquo;s Degree or Master's Degree in Computer Science, Electrical Engineering, Robotics, or related field.
</p></li><li><p>2+ years of experience working with AI/ML systems.
</p></li><li><p>Ability to obtain and maintain a secret clearance
</p></li><li><p>Proven experience with deploying AI/ML models on constrained platforms, such as the Nvidia Jetson architecture.
</p></li><li><p>Proficient in Python, and familiar with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn.
</p></li><li><p>Experience with robotics systems is a strong plus.
</p></li></ul><p></p><p><b>Preferred Qualifications:
</b></p><p></p><ul><li><p>3+ years of experience working with AI/ML systems
</p></li><li><p>Strong understanding of modern machine learning techniques and their mathematical underpinnings, such as neural networks, classification, regression, and clustering.
</p></li><li><p>Excellent knowledge of computer vision algorithms and techniques.
</p></li><li><p>Familiarity with CUDA programming for Nvidia GPUs.
</p></li><li><p>Excellent communication skills, and ability to work as part of a small, agile team.
</p></li></ul><p></p><p><b>Schedule </b>: M-F; 8-5
</p><p><b>Work Location </b>: Onsite, Tyndall AFB, Florida
</p><p><b>Travel </b>: Yes, 0%-10%
</p><p><b>Relocation Assistance Available </b>: No
</p><p><b>Position Contingent Upon Award of Contract </b>: Yes
</p><p></p><p><b>Benefits:<br>
</b></p><p></p><p>Torch Technologies is proud to offer a stable and professional work environment, a competitive salary, and an excellent, comprehensive benefit package including: ESOP participation, 401(k) match and safe-harbor contribution, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, Health Saving Accounts and Health Reimbursement Accounts, EAP, education assistance, paid time off, and holidays.<br>
</p><p></p><p><b>Applying to Torch Technologies:<br>
</b></p><p></p><p>Only those candidates invited for an interview will be contacted. Employment at Torch Technologies is contingent upon the successful completion of a comprehensive background check.
</p><p></p><p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. Torch Technologies, Inc. participates in E-Verify.<br>
</p><p></p><p>If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Careers Link as a result of your disability. You can request reasonable accommodations by sending an email to HR@torchtechnologies.com. Thank you for your interest in Torch Technologies.</p></div>

ASTIVA HEALTH INC

<p>Description:<br/></p><p>About Us:<br/></p><p>Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.<br/></p><p>SUMMARY:<br/></p><p>We are seeking a skilled and adaptable AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.<br/></p><p>Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.<br/></p><p>ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:<br/></p><p>Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).<br/>Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.<br/>Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights<br/>Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.<br/>Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).<br/>Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.<br/>Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.<br/>Other duties as assigned<br/></p><p>OTHER SKILLS and ABILITIES:<br/></p><p>Hands-on experience with Azure AI services, Azure Machine Learning, OpenAI on Azure, and Microsoft Foundry<br/>Experience with clinical NLP libraries (scispaCy, medspaCy, cTAKES)<br/>Familiarity with RAG architectures for grounding model decisions<br/>Experience with weak supervision or noisy-label learning<br/>Knowledge of temporal reasoning or longitudinal modeling<br/>Exposure to knowledge graphs or ontology-driven systems<br/>Familiarity with healthcare vocabularies and ontologies:<br/>ICD-10<br/>SNOMED CT<br/>RxNorm (or similar)<br/>Understanding of clinical documentation structure (HPI, Assessment &amp; Plan, medications, etc.<br/></p><p>EXPERIENCE<br/></p><p>Bachelor&rsquo;s Degree in related field<br/>2-4+ years of experience in software engineering, machine learning, or applied NLP<br/>Demonstrated experience taking ML systems from prototype to production<br/>Experience collaborating with non-technical domain experts (e.g., medical coders, clinicians)<br/></p><p>BENEFITS:<br/></p><p>401(k)<br/>Dental Insurance<br/>Health Insurance<br/>Life Insurance<br/>Vision Insurance<br/>Paid Time Off<br/>Free catered lunches<br/>Requirements:<br/></p><p>REQUIRED TECHNICAL SKILLS:<br/></p><p>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)<br/>Hands-on experience with NLP applied to unstructured text<br/>Experience working with LLMs, including:<br/>Prompting strategies<br/>Fine-tuning for classification or extraction tasks<br/>Model evaluation and error analysis<br/>Experience designing or consuming annotation pipelines and labeled datasets<br/>Familiarity with structured prediction problems (multi-label classification, ranking, or probabilistic inference)<br/>Ability to reason about and mitigate model bias, label noise, and false positives<br/>Strong understanding of production ML systems (versioning, monitoring, iteration)<br/>Experience working with sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows<br/></p>

Fission Labs

<div></div><div><div><div><div><div>Hyderabad &amp; Pune</div><div>
3-5 Years</div></div><div><div>
Full Time</div></div><div><div><div><div><br>
</div></div></div><div></div><div><div><div><div>
</div></div></div></div></div></div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Roles and Responsibilities</b></h4><div><p><b>
We are looking for:
</b></p><p>Results-driven AI/ML Engineer with expertise in designing, training, and deploying scalable machine learning and deep learning models. Skilled in Python, TensorFlow, and cloud-based AI solutions, with strong experience in data preprocessing, model optimization, and MLOps integration and Generative AI. Adept at translating complex business challenges into AI-driven insights and automation.</p><p><b>
Responsibilities</b></p><ul><li>
Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation</li><li>
Work with extensive and complex data sets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training.</li><li>
Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs.</li><li>
Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization.</li><li>
Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production.</li><li>
Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability.</li><li>
Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explain ability and responsible AI practices</li></ul><p>
&zwj;</p></div></div></div><div><div><h4 class="jobSectionHeader"><b>
Qualifications Required</b></h4><div><p><b>
Qualifications Required</b></p><p><b>
Educational Background:</b></p><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science</li><li>
Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus.</li></ul></div></div></div><div><div><h4 class="jobSectionHeader"><b>
Skills and Experience Required</b></h4><div><p><b>
Experience</b>:</p><ul><li>
3+ years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models</li></ul><p><b>
Technical Expertise:
</b></p><ul><li>Proficiency in Python, along with experience in libraries and frameworks central to generative AI, such as Hugging Face Transformers, PyTorch, and TensorFlow.</li><li>
Strong understanding of transformer architectures, language models, and generative modeling techniques (e.g., GANs, VAEs, autoregressive models).</li><li>
Expertise in data processing techniques for training large language models, including handling unstructured data, tokenization, and feature extraction.</li><li>
Familiarity with ML Ops practices and tools (e.g., Docker, Kubernetes, ML flow) for deploying and managing large-scale models in production.</li><li>
Experience with cloud platforms (AWS, GCP, Azure) and GPU/TPU resources for training and fine-tuning large models</li></ul><p><b>
Core Skills:
</b></p><ul><li>Machine Learning: Strong foundation in machine learning algorithms, deep learning, generative AI techniques.</li><li>
Programming :Proficient in Python, with knowledge of SQL for data handling and retrieval.</li><li>
Data Engineering: Experience with data preprocessing, feature engineering, and data transformation specific to large and complex datasets</li><li>
Model Evaluation: Knowledge of model evaluation metrics and techniques for generative models, especially for text generation, image synthesis, or multimodal AI</li></ul><p><b>
Soft Skills:</b></p><ul><li>
Strong analytical and problem-solving skills with a high level of attention to detail.</li><li>
Excellent communication skills, with the ability to explain complex generative AI concepts to both technical and non-technical audiences.</li><li>
Collaborative mindset with the capability to work effectively in cross-functional teams.</li></ul><p><b>
Skills and Experience Required</b></p><ul><li><b>
Generative AI:</b> Transformer Models, GANs, VAEs, Text Generation, Image Generation</li><li><b>
Machine Learning: </b>Algorithms, Deep Learning, Neural Networks</li><li><b>
Programming:</b> Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow</li><li><b>
MLOps:</b> Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure)</li><li><b>
Data Engineering:</b> Data Preprocessing, Feature Engineering, Data Cleaning</li></ul><p>
&zwj;</p></div></div></div><div><div><h4 class="jobSectionHeader"><b>
Why you'll love working with us:</b></h4><div><p><b>
You would enjoy</b></p><ul><li>
Opportunity to work on impactful technical challenges with global reach.</li><li>
Vast opportunities for self-development, including online university access and knowledge sharing opportunities.</li><li>
Sponsored Tech Talks &amp; Hackathons to foster innovation and learning.</li><li>
Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more.</li><li>
Supportive work environment with forums to explore passions beyond work.</li></ul></div></div></div></div><p></p>

Yokogawa

<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></div><div>
We are looking for an 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 take part in 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>
Develop dynamic process simulation model for various plant scenarios accurately.</li><li>
Analyze data historian, exploratory data analysis and data pre-processing.</li><li>
A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.</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>
Requirements</div><ul><li>
Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.</li><li>
6+ years of hands-on experience in AI/ML and process simulations projects execution.</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>
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>

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