ml engineer

ASSYST, Inc.

<div><p>ASSYST is seeking a skilled <b>AI/ML Engineer (AI Agent Engineer)</b> to support our client project in Austin, TX. This is a <b>hybrid position</b>.</p>
<p>
We are looking for a highly experienced professional to design, develop, and deploy intelligent AI-driven solutions that enhance business productivity and decision-making. The role focuses on building autonomous agentic systems, Retrieval-Augmented Generation (RAG) architectures, and scalable AI workflows, with a strong emphasis on governance, security, and cost efficiency.</p>
<p>
The ideal candidate will collaborate closely with developers, UX designers, and business and systems analysts to research, design, implement, and continuously improve AI-powered applications.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design, develop, and manage AI/ML software programs, including autonomous agents and intelligent workflows.</li>
<li>Build and deploy production-grade AI agent systems using modern frameworks and tools.</li>
<li>Implement and optimize <b>Retrieval-Augmented Generation (RAG)</b> architectures using vector databases.</li>
<li>Integrate Large Language Models (LLMs) via APIs to enable advanced AI capabilities.</li>
<li>Develop and maintain context engineering strategies to improve model performance and accuracy.</li>
<li>Implement AI governance practices, including model lifecycle management, monitoring, and evaluation.</li>
<li>Apply AI safety measures such as guardrails, content filtering, and responsible AI controls.</li>
<li>Extend and implement <b>Model Context Protocol (MCP)</b> for secure access to local and remote data sources.</li>
<li>Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.</li>
<li>Test, evaluate, and optimize AI models and systems for performance, scalability, and cost efficiency.</li></ul><br>
<p></p>
<p><b>
Minimum Qualifications</b></p>
<ul>
<li><b>4+ years</b> of experience in AI/ML engineering or advanced data science.</li>
<li>Proven experience building and deploying <b>production-grade autonomous agents</b>.</li>
<li>Strong expertise in <b>context engineering</b>.</li>
<li>Hands-on experience with frameworks such as <b>LangChain, LangGraph, CrewAI, or AutoGPT</b>.</li>
<li>Experience implementing <b>RAG architectures</b> using vector databases.</li>
<li>Proficiency in <b>Python</b> and AI/ML libraries (OpenAI, Hugging Face, Azure AI).</li>
<li>Experience integrating <b>LLMs via APIs</b>.</li>
<li>Strong understanding of <b>AI governance</b>, model lifecycle management, and evaluation.</li>
<li>Experience implementing and extending <b>Model Context Protocol (MCP)</b>.</li>
<li>Experience with <b>AI guardrails, content filtering, and safety controls</b>.</li>
<li>Knowledge of <b>data privacy practices</b>, including handling sensitive data (PII/PHI).</li>
<li><b>2+ years</b> of experience building <b>multi-agent or autonomous workflows</b>.</li>
<li>Experience optimizing <b>LLM cost, token usage, and performance</b>.</li>
<li>Familiarity with <b>enterprise AI deployment patterns</b>, scalability, and distributed systems.</li></ul><br>
<p></p>
<p><b><i>
ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law</i></b></p></div><p></p>

AI/ML Engineer

Hiring Talent

<p>A fast paced startup Company is hiring an AI / ML Engineer.</p><p><b>Job Type:</b> Full-time, remote</p><p><b>Shift Timings:</b> 3 pm to 12 am</p><p><b>Location:</b> Shahrah-e-Faisal, Karachi</p><p><b>Industry:</b> AI / Fintech</p><p><b>Responsibilities</b></p><p>&middot; Research and evaluate techniques for improving LLM reasoning, accuracy, and efficiency &mdash; including prompting strategies, fine-tuning, distillation, and model selection</p><p>&middot; Design and run rigorous experiments with proper baselines, ablations, and statistical analysis to measure the impact of each technique</p><p>&middot; Build evaluation frameworks and benchmarks to systematically measure model quality across Yara's key tasks</p><p>&middot; Improve retrieval-augmented generation pipelines &mdash; embedding models, chunking strategies, re-ranking, query decomposition, and context window optimization</p><p>&middot; Explore fine-tuning approaches (LoRA, RLHF, DPO) to adapt foundation models for domain-specific performance</p><p>&middot; Study and reduce failure modes &mdash; hallucination, instruction drift, reasoning errors, and inconsistent structured output generation</p><p>&middot; Stay current with the research landscape (papers, open-source releases, model updates) and identify techniques with high applicability to Yara's use cases</p><p>&middot; Prototype emerging approaches (chain-of-thought, self-consistency, tool-use planning, multi-agent coordination) and measure real-world impact</p><p>&middot; Translate research findings into production-ready improvements and document results for the engineering team</p><p><b>Requirements:</b></p><p>&middot; 4-5 years in ML/AI research or applied AI engineering</p><p>&middot; Strong understanding of LLM architectures, training dynamics, and inference optimization</p><p>&middot; Hands-on experience with fine-tuning (LoRA, RLHF, DPO) and systematic model evaluation</p><p>&middot; Proficient in Python and ML frameworks (PyTorch,HuggingFace Transformers)</p><p>&middot; Experience designing experiments with proper controls, ablations, and reproducibility</p><p>&middot; Familiarity with RAG systems, embedding models, and retrieval pipelines</p><p>&middot; Strong written communication &mdash; ability to produce clear internal research reports and technical documentation</p><p>Interested candidates may apply.</p><p>Application Question(s):</p><ul><li>Are you willing to work remotely from 3 pm to 12 am?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI: 4 years (Preferred)</li><li>fine-tuning: 4 years (Preferred)</li><li>PyTorch: 4 years (Preferred)</li></ul><p>Work Location: In person</p>

AI / ML Engineer

QTEC Aerospace

<div><p>QTEC Aerospace is seeking an ARTIFICATL INTELLIGENCE (AI)/MACHINE LEARNING (ML) ENGINEER to join our team of professionals at Schriever Space Force Base in Colorado Springs, CO. The successful candidate will become part of a team of professionals representing both industry and government in support of a Missile Defense System (MDS) with a mission of protecting the United States and our allies. The successful candidate will be detail oriented, have a proven track record and a positive work ethic.</p><p><b><br>
Job Summary</b></p><p>
QTEC Aerospace is looking for highly capable and motivated individuals. The successful candidate will function as an integral member of a multi-contractor team providing program, engineering, and technical support to Missile Defense programs. The chosen candidate will be responsible for supporting development of AI/ML products directly feeding the AI/ML strategy, communicating AI/ML concepts and results to both technical and non-technical audiences, and collaborating with cross-functional teams to deliver innovative AI-powered solutions</p><p><b><br>
Job Duties/Responsibilities</b></p><p>
Responsibilities will include, but may not be limited to the following:
</p><ul><li>Support the full lifecycle of AI/ML projects, from problem definition and data collection to model development, deployment, and monitoring</li><li>
Support design, development, and implementation of AI/ML models and algorithms using appropriate tools and techniques</li><li>
Ensure the quality and accuracy of AI/ML models through rigorous testing and validation</li><li>
Support collaboration with software engineers and DevOps teams to deploy AI/ML models into production environments</li><li>
Support the AI/ML lead in monitoring the performance of AI/ML models in production and support the AI/ML lead identify areas for improvement</li><li>
Communicate AI/ML concepts and results effectively to both technical and non-technical audiences</li><li>
Work in close coordination with multiple teams that will leverage AI/ML products</li><li>
Work with AI/ML Lead to define problem statements and success metrics for AI/ML products</li></ul><p><b><br>
Minimum Education and Experience</b></p><ul><li>
Bachelors of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with at least 2 years of relevant experience, or a Masters' Degree</li></ul><p><b><br>
Required Knowledge, Skills and Abilities</b></p><ul><li><b><i>
Must be able to support an in-person / closed-area work environment</i></b></li><li>
Possess a fundamental understanding of AI/ML principles and experience supporting AI/ML projects from conception to deployment</li><li>
Must be able to work with little direct supervision, work as an integral member of a product delivery team, and meet time critical delivery schedules</li><li>
Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning</li><li>
Experience with programming in Python, R, or other relevant languages</li><li>
Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras</li><li>
Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development.</li><li>
Familiarity with Linux operating systems</li><li>
Strong problem-solving and analytical skills</li><li>
Must be able to work effectively in a dynamic and collaborative team environment</li><li>
Ability for some limited travel (less than 10% time) to support program meetings</li><li>
Excellent verbal and written communication skills, including ability to collaborate with cross-functional teams, and prepare and brief presentations to the customer as needed</li><li>
Self-starter with ability to work both independently and in a team environment</li></ul><p><b><br>
Desired Knowledge, Skills and Abilities</b></p><ul><li>
Experience in Engineering and Aerospace</li><li>
Familiarity with MLOps and deploying models at scale</li><li>
Familiarity with A/B testing and other methods for evaluating the performance of AI/ML models</li><li>
Familiarity with cloud computing platforms such as AWS, Azure, or GCP</li><li>
Familiarity with DevOps practices and tools</li><li>
Experience working with sensitive data and adhering to data privacy regulations</li><li>
Experience in Modeling and Simulation</li><li>
Knowledge of the flight characteristics, motion, atmospheric dynamics, and performance of missiles</li><li>
Knowledge of engineering modeling principles behind body motion, trajectory analysis, counter measures, debris, and signature modeling</li><li>
Background with missile system models, atmospheric dynamics, and performance</li><li>
Experience in Agile software development methodologies including Scrum and Kanban</li></ul><p><b><br>
Security Clearance</b></p><p>
Candidates must currently have and be able to maintain a minimum DoD SECRET level security clearance.</p><p><b><br>
Salary Range</b></p><p>
The below salary range represents a general guideline; however, QTEC considers a number of factors when determining base salary such as the scope and responsibilities of the position as well as the candidate's experience, education, skills and current market conditions.
</p><p>Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results.<br>
</p><br>
<p>Salary Range: $80,000 - $166,000</p><p><b><br>
Benefits</b></p><p>
QTEC Aerospace offers a variety of benefits including healthcare, dental, vision, life and disability insurance, 401(k) retirement plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. Employees may choose among the offered benefits to design the best benefits package to suit their individual or family needs.<br>
</p><br>
<p><b>Location</b></p><p>
Schriever Space Force Base in Colorado Springs, CO</p><p><i><br>
QTEC, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment and advancement in employment without regard to any applicable local, state or federally protected class, characteristic or non-merit based factor.</i></p></div>

AI/ML ENGINEER

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


AI/ML Engineer - Remote

Yokogawa

<div><div><b>Not just a job, but a career</b></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><b>
About the Team</b><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><b>
Job Description</b></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><b>
Job Overview</b></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><b>
Key Responsibilities</b></div><div></div><div><b>
Technical Leadership &amp; Mentorship</b></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><b>
Stakeholder Collaboration &amp; Communication</b></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><b>
Requirements</b></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><b>
Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)</b></div><div><b>
Programming &amp; Frameworks</b></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><b>
Data Engineering &amp; Integration</b></div><ul><li>
Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.</li></ul><div></div><div><b>
Personal Attributes (Special personal characteristics/ interpersonal skills)</b></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>

Hazen Technologies Inc.

<div><p><b>Company Overview:</b></p><p>
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.</p><p><b>
Job Location</b>: Gulberg Lahore Pakistan.</p><p><b>
Job Conditions:</b> Onsite, full time, 02:00 pm to 11:00 pm PKT</p><p><b>
Report to:</b> Chief Software Architect</p><p>
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using <b>Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures</b>, and modern machine learning techniques.</p><p><b>
Key Responsibilities:</b></p><br>
<ul><li>
Design and implement <b>AI-powered applications</b> using Large Language Models (LLMs).</li>
<li>Develop and maintain <b>Retrieval-Augmented Generation (RAG) pipelines</b> for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with <b>LLM APIs</b> and integrate them into production-grade applications.</li>
<li>Build and manage <b>embedding pipelines and vector search solutions</b>.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in <b>Generative AI, LLM frameworks, and machine learning technologies</b>.</li></ul><p><b>
Key Requirements:</b></p><ul>
<li><b>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</b></li>
<li>Strong programming skills in <b>Python</b>.</li>
<li>Hands-on experience working with <b>LLMs and their APIs</b>.</li>
<li>Experience building or working with <b>RAG-based architectures</b>.</li>
<li>Understanding of <b>machine learning fundamentals</b> and model evaluation techniques.</li>
<li>Experience with <b>embeddings, vector databases, and semantic search</b>.</li>
<li>Familiarity with frameworks such as <b>LangChain, LlamaIndex, or similar LLM orchestration tools</b>.</li></ul><p><b>
Preferred / Nice to Have</b></p><ul>
<li>Experience with <b>Azure AI services and Azure OpenAI</b>.</li>
<li>Familiarity with <b>vector databases</b> such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in <b>cloud environments (Azure preferred)</b>.</li>
<li>Knowledge of <b>MLOps, model monitoring, and scalable AI system design</b>.</li>
<li>Experience working with <b>REST APIs and backend integration</b>.</li></ul><p>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.</p><p>
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</p></div>

Adroitent

<div><p>3</p><p><br>
AI/ML Engineer</p><p><br>
6+ Years</p><br>
<ul><li>
Expert Python skills</li><li>
Hands-on Amazon Bedrock experience</li><li>
Proficiency with Azure DevOps CI/CD</li></ul><ul><li>
Datadog experience</li><li>
ServiceNow change management</li><li>
Familiarity with financial services regulatory frameworks: model risk management, explainability, data governance.</li></ul></div>

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