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Senior AI/ML Engineer

  • Job type Posted on: May 27, 2026
  • Experience level 3B Staffing LLC
  • Employment type Mason, Ohio
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior AI/ML Engineer

Job Type :

Full-time

Job Location :

Mason Ohio United States

Remote :

No

Jobcon Logo Job Description :

Hello, Greetings!!! This is Harsh from Jconnect INC . Below is the requirement with my client. Please share the updated resume and below details. Title: Senior AI/ML Engineer Location: Mason, OH / Woodland Hills, CA-91367 (Onsite) Duration: Full-time only JOB DESCRIPTION : Must Have Technical/Functional Skill Python (Expert level) Machine Learning & Model Training Training, evaluation, fine-tuning Tagging and labeling workflows Generative AI & LLMs Prompt engineering for LLM-based applications Document Processing Document extraction, parsing, and chunking Handling structured & unstructured data Embeddings & Vector Search Embedding generation Vector database integration Databases Vector Databases MongoDB Production-grade ML Engineering Scalable, production-ready ML/GenAI solutions This role is for a hands-on Data Science Engineer who will design, build, and deploy production-grade Machine Learning and Generative AI solutions. The candidate must have strong Python expertise and practical experience taking ML and GenAI use cases from development to deployment. The role focuses heavily on LLM-based applications, including prompt engineering, document processing pipelines, and embedding-based search solutions. The engineer will work with both structured and unstructured data, building pipelines for document extraction, parsing, and chunking, and integrating ML models with Vector Databases and MongoDB. An ideal candidate is someone who understands end-to-end ML workflows-from data preparation, tagging, and labeling, through model training, evaluation, and fine-tuning-while ensuring solutions are scalable, high quality, and production ready. Key Responsibilities Design and implement AI/ML solutions using Python and modern ML frameworks Develop and optimize Prompt Engineering strategies for LLM-based systems Build and deploy Retrieval-Augmented Generation (RAG) pipelines Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications Develop and orchestrate Agentic AI workflows with tool/function calling Implement vector search solutions using Vector Databases Ensure CI/CD integration and cloud deployment (Azure preferred) Establish observability, monitoring, and evaluation frameworks for AI systems Collaborate with cross-functional teams to deliver production-ready AI features Generic Managerial Skills, If any Ability to explain complex ML / GenAI concepts to non-technical stakeholders and collaborate effectively with cross-functional teams. Strong analytical thinking to break down ambiguous business problems into workable ML or GenAI solutions. Takes end-to-end responsibility for solutions-from design to production readiness-without constant supervision. Works well with data engineers, product owners, and platform teams to deliver integrated, scalable solutions. Actively keeps up with evolving ML, LLM, and GenAI technologies and improves skills proactively. If you are interested, please send me your updated resume ASAP with below details : Full Name: Alternate mail ID: Current Location/Zip: Expected salary: Willingness to travel/relocate to job location: Visa/Work Permit Status: Notice Period/Availability to Start: Preferred Interview timings (Specify Time zone): LinkedIn URL: Looking forward for your response..

Jobcon Logo Position Details

Posted:

May 27, 2026

Reference Number:

14660_C62C9B6CFECC30A7292FA05FD8D70881

Employment:

Full-time

Salary:

Not Available

City:

Mason

Job Origin:

APPCAST_CPC

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Hello, Greetings!!! This is Harsh from Jconnect INC . Below is the requirement with my client. Please share the updated resume and below details. Title: Senior AI/ML Engineer Location: Mason, OH / Woodland Hills, CA-91367 (Onsite) Duration: Full-time only JOB DESCRIPTION : Must Have Technical/Functional Skill Python (Expert level) Machine Learning & Model Training Training, evaluation, fine-tuning Tagging and labeling workflows Generative AI & LLMs Prompt engineering for LLM-based applications Document Processing Document extraction, parsing, and chunking Handling structured & unstructured data Embeddings & Vector Search Embedding generation Vector database integration Databases Vector Databases MongoDB Production-grade ML Engineering Scalable, production-ready ML/GenAI solutions This role is for a hands-on Data Science Engineer who will design, build, and deploy production-grade Machine Learning and Generative AI solutions. The candidate must have strong Python expertise and practical experience taking ML and GenAI use cases from development to deployment. The role focuses heavily on LLM-based applications, including prompt engineering, document processing pipelines, and embedding-based search solutions. The engineer will work with both structured and unstructured data, building pipelines for document extraction, parsing, and chunking, and integrating ML models with Vector Databases and MongoDB. An ideal candidate is someone who understands end-to-end ML workflows-from data preparation, tagging, and labeling, through model training, evaluation, and fine-tuning-while ensuring solutions are scalable, high quality, and production ready. Key Responsibilities Design and implement AI/ML solutions using Python and modern ML frameworks Develop and optimize Prompt Engineering strategies for LLM-based systems Build and deploy Retrieval-Augmented Generation (RAG) pipelines Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications Develop and orchestrate Agentic AI workflows with tool/function calling Implement vector search solutions using Vector Databases Ensure CI/CD integration and cloud deployment (Azure preferred) Establish observability, monitoring, and evaluation frameworks for AI systems Collaborate with cross-functional teams to deliver production-ready AI features Generic Managerial Skills, If any Ability to explain complex ML / GenAI concepts to non-technical stakeholders and collaborate effectively with cross-functional teams. Strong analytical thinking to break down ambiguous business problems into workable ML or GenAI solutions. Takes end-to-end responsibility for solutions-from design to production readiness-without constant supervision. Works well with data engineers, product owners, and platform teams to deliver integrated, scalable solutions. Actively keeps up with evolving ML, LLM, and GenAI technologies and improves skills proactively. If you are interested, please send me your updated resume ASAP with below details : Full Name: Alternate mail ID: Current Location/Zip: Expected salary: Willingness to travel/relocate to job location: Visa/Work Permit Status: Notice Period/Availability to Start: Preferred Interview timings (Specify Time zone): LinkedIn URL: Looking forward for your response..

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