ai ml engineer

LimeoX

We&rsquo;re Hiring: AI/ML Engineer On-Site (Sargodha)We are looking for a highly skilled and independent AI/ML Engineer to join our growing team. You&rsquo;ll work on cutting-edge projects involving Large Language Models (LLMs), custom weightage models, clustering &amp; classification, automation, and AI-powered workflows.This role offers technical direction and project requirements, but you&rsquo;ll have the freedom to design and implement innovative solutions from scratch. If you enjoy building and experimenting with models, researching new approaches, and turning ideas into production-ready tools, this is the place for you.Key Responsibilities<ul><li>Build and fine-tune weightage models and LLMs to solve real-world business problems.</li><li>Develop custom prediction models and conduct comparative research to determine the most effective approach.</li><li>Perform AI/ML research and translate innovative concepts into production-ready solutions.</li><li>Design and implement AI agents and automations, including workflows integrated with Google Sheets/Docs via Apps Script.</li><li>Apply clustering and classification techniques to identify patterns, generate insights, and support decision-making.</li><li>Develop, optimize, and maintain data pipelines and system integrations for model training and deployment.</li><li>Collect, scrape, and preprocess data for machine learning training, evaluation, and analysis.</li><li>Deploy, monitor, and continuously retrain models to ensure optimal performance over time.</li></ul>Requirements<ul><li>Proven experience as an AI/ML Engineer or similar role.</li><li>Strong Python skills with hands-on experience in ML frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Experience with Weightage-based algorithms and LLM fine-tuning.</li><li>Solid understanding of clustering and classification techniques.</li><li>Proficiency in automation via Google Apps Script.</li><li>Knowledge of web scraping tools (e.g., Selenium, Playwright).</li><li>Experience with databases (PostgreSQL, MySQL, MongoDB).</li><li>Familiarity with asynchronous programming and multi-threading.</li><li>Strong research skills and ability to work independently.</li></ul>Preferred Qualifications<ul><li>Degree in Computer Science, AI, Data Science, or a related field.</li><li>Experience with cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure ML).</li><li>Contributions to open-source AI projects.</li><li>Knowledge of MLOps practices.</li></ul>Salary &amp; Perks<ul><li>Starting salary: 100,000 &ndash; 150,000 PKR (depending on skills &amp; experience).</li><li>Accommodation</li><li>Lunch</li><li>Travel Allowance</li><li>Provident Fund</li></ul>Ready to innovate with AI? Apply now and help shape the future of intelligent automation at LimeoX.Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthAbility to commute/relocate:<ul><li>Sargodha: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>AI/ML: 2 years (Preferred)</li><li>Automation: 1 year (Preferred)</li></ul>Work Location: In person

AI/ML Engineer

ASSYST, Inc.

<div>ASSYST is seeking a skilled AI/ML Engineer (AI Agent Engineer) to support our client project in Austin, TX. This is a hybrid position.

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.

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.

Key Responsibilities
<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 Retrieval-Augmented Generation (RAG) 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 Model Context Protocol (MCP) 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> 


Minimum Qualifications
<ul>
<li>4+ years of experience in AI/ML engineering or advanced data science.</li>
<li>Proven experience building and deploying production-grade autonomous agents.</li>
<li>Strong expertise in context engineering.</li>
<li>Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT.</li>
<li>Experience implementing RAG architectures using vector databases.</li>
<li>Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI).</li>
<li>Experience integrating LLMs via APIs.</li>
<li>Strong understanding of AI governance, model lifecycle management, and evaluation.</li>
<li>Experience implementing and extending Model Context Protocol (MCP).</li>
<li>Experience with AI guardrails, content filtering, and safety controls.</li>
<li>Knowledge of data privacy practices, including handling sensitive data (PII/PHI).</li>
<li>2+ years of experience building multi-agent or autonomous workflows.</li>
<li>Experience optimizing LLM cost, token usage, and performance.</li>
<li>Familiarity with enterprise AI deployment patterns, scalability, and distributed systems.</li></ul> 


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</div>

SWITS DIGITAL Private Limited

<div>
 
 Job Title: AI/ML Engineer
 
 
 
 
 Location: Bellevue. WA
 
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Build and optimize data pipelines and analytics workflows leveraging Snowflake and Python
 </li>
 <li>
 Develop AI‑powered applications and internal tools using frameworks like LangGraph and LangSmith
 </li>
 <li>
 Integrate and operationalize LLM workflows, agents, and observability for AI systems
 </li>
 <li>
 Leverage modern AI‑assisted development tools (Claude Code, Cursor, Windsurf, GitHub Copilot) to accelerate delivery and maintain high code quality
 </li>
 <li>
 Implement Model Context Protocol (MCP) integrations for tool‑augmented and context‑aware AI applications
 </li>
 <li>
 Collaborate with product, data science, and DevOps teams to deliver end‑to‑end solutions
 </li>
 <li>
 Participate in architecture discussions, code reviews, and mentoring of junior engineers
 </li>
 <li>
 Added &agrave; Drive patterns for RAG, model orchestration, prompt engineering, and model evaluation.
 </li>
 <li>
 Added &agrave; Good working knowledge of Azure
 </li>
 </ul>
</div>

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 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.
 
 
 
 Key Responsibilities
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <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

Advanced software systems

AI/ML Engineer New

Torch Technologies

<div>Torch Technologies
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!
Torch Technologies is looking to expand our team with a skilled AI/ML Engineer with an emphasis on computer vision and deploying AI models on constrained computing platforms.
As an AI/ML Engineer your duties will include the following, but are not limited to:
<ul><li>Develop methods for producing synthetic training data to make models robust and generalize-able.
</li><li>Develop, train and optimize AI/ML models (including large generative models and LLM's) for various applications.
</li><li>Develop and implement efficient deployment strategies for these models on constrained computing platforms.
</li><li>Conduct research and contribute to the development and enhancement of our machine learning systems and frameworks.
</li><li>Manage and monitor the performance of deployed models and adjust as necessary.
</li></ul>Required Qualifications:
<ul><li>U.S. Citizenship
</li><li>Bachelor&rsquo;s Degree or Master's Degree in Computer Science, Electrical Engineering, or related field.
</li><li>2+ years of experience working with AI/ML systems.
</li><li>Active secret clearance.
</li><li>Proficient in Python, and familiar with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn.
</li><li>Experience with multimodal systems is a strong plus.
</li></ul>Preferred Qualifications:
<ul><li>Ph.D. in Machine Learning and Artificial Intelligence.
</li><li>Strong understanding of modern machine learning techniques and their mathematical underpinnings.
</li><li>Excellent knowledge of computer vision algorithms and techniques.
</li><li>Excellent communication skills, and ability to work as part of a small, agile team.
</li></ul>Schedule : TOC
Work Location : Florida
Travel : Yes, 10%-20%
Relocation Assistance Available : No
Position Contingent Upon Award of Contract : Yes
#LI-DK1
Benefits: 
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. 
Applying to Torch Technologies: 
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.
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. 
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.</div>

AI/ML Engineer (TOC)

Commence

<div>Description:

At Commence, we&rsquo;re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care.
With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.
Requirements:

The Senior AI/ML Engineer is responsible for designing, building, and operationalizing scalable machine learning and AI systems that power clinical and operational data products across the healthcare ecosystem. This role focuses on productionizing AI/ML capabilities, including large language models (LLMs), document processing pipelines, and predictive systems within a secure and compliant environment.
You will partner closely with Data Scientists, Data Engineers, and Product teams to transform models and prototypes into reliable, performant, and production-grade systems. The ideal candidate has strong data science and MLOps experience, is comfortable working with complex healthcare datasets (EHRs, claims, FHIR), and can build scalable AI solutions that meet regulatory and operational requirements.<ul><li>
Design, build, and maintain end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring.</li><li>
Productionize machine learning and AI models developed by Data Scientists into scalable APIs, batch, and streaming workflows.</li><li>
Develop and optimize AI/LLM-driven workflows (e.g., document extraction, classification, summarization) using modern frameworks and orchestration patterns.</li><li>
Implement Retrieval-Augmented Generation (RAG) pipelines, embedding strategies, and vector-based retrieval systems.</li><li>
Establish and maintain MLOps practices, including CI/CD pipelines, model versioning, lineage tracking, and automated retraining workflows.</li><li>
Integrate AI/ML systems within Databricks (Workflows, Delta Lake, Unity Catalog) and AWS services (S3, Lambda, Bedrock).</li><li>
Optimize model inference performance, latency, throughput, and cost efficiency across production systems.</li><li>
Design and implement monitoring, alerting, and observability frameworks for deployed AI/ML systems.</li><li>
Collaborate with Data Engineers, Data Scientists, and Software Engineers to define system requirements and deliver scalable AI solutions.</li><li>
Ensure AI/ML systems comply with HIPAA, 42 CFR Part 2, FedRAMP Moderate, and other applicable regulatory frameworks.</li><li>
Implement secure data handling practices, including encryption, access controls, and protection of sensitive healthcare data.</li><li>
Evaluate and adopt emerging AI/ML technologies, tools, and frameworks to improve system capabilities and performance.</li><li>
Mentor junior and mid-level engineers in best practices related to ML engineering, system design, and production AI systems.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field. Master&rsquo;s degree preferred.</li><li>
6+ years of experience in machine learning engineering, software engineering, or related roles.</li><li>
Strong proficiency in programming languages such as Python and SQL, with experience building production-grade systems.</li><li>
Demonstrated experience deploying and managing machine learning models in production environments.</li><li>
Experience implementing AI/LLM solutions using platforms such as AWS Bedrock, Anthropic, LangChain, Databricks Agent frameworks, or similar.</li><li>
Experience with distributed data processing frameworks such as PySpark, Databricks, or AWS EMR.</li><li>
Experience with ML lifecycle tools such as MLflow, model registries, and monitoring frameworks.</li><li>
Experience building APIs or services (e.g., FastAPI, Flask) for model inference.</li><li>
Strong understanding of software engineering principles, system design, and scalable architecture.</li><li>
Experience working with healthcare datasets such as EHRs, claims, FHIR, or HL7.</li><li>
Strong problem-solving skills and attention to detail.</li><li>
Strong communication and collaboration skills across technical and non-technical teams.</li></ul>
Preferred Requirements<ul><li>
Experience with vector databases, embeddings, and RAG architectures.</li><li>
Experience with OCR/document AI tools (e.g., AWS Textract, DBX OCR).</li><li>
Experience with containerization and orchestration (Docker, Kubernetes).</li><li>
Familiarity with healthcare data governance and security frameworks such as NIST or HITRUST.</li><li>
Experience supporting federal healthcare programs or agencies such as CMS, VA, or DoD.</li><li>
Knowledge of healthcare delivery systems, quality measurement programs, or policy frameworks.</li></ul>
Work Environment/Physical Demands
The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This is an office position. While performing the duties of this job, the employee regularly works in a climate-controlled environment. Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. Occasionally required to stand, walk, use hands and fingers, kneel or crouch.
Commence is an equal employment opportunity employer. All personnel processes are applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military and veteran status or any other characteristic protected by applicable law. If you require a reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at (757) 306-4920 or hr@commence.ai.
Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.</div>

Sr. AI/ML Engineer

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AI/ML Engineer - Remote

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AI/ML Engineer (TOC)

Sr. AI/ML Engineer