Machine Learning Engineer (nlp, Rag, Llm,)
- Mifm Operations
- 10 to 14 Yrs
- Chennai
- 11 months ago
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Job Description
- Role: Senior AI Engineer Location: Chennai / Bangalore Job Description: As a Senior AI Engineer you will be responsible for designing and implementing AI systems that leverage the latest advancements in machine learning and natural language processing. You will play a pivotal role in developing conversational chatbots and other AI solutions that meet requirements. Your expertise in LangChain, LangGraph, and AWS ML Services, along with your proficiency in Python and various ML libraries, will drive the success of our AI initiatives. *Key Responsibilities:** - Develop and fine-tune large language models (LLMs) using platforms like Bedrock and Sagemaker. - Implement multi-agent systems and advanced retrieval-augmented generation (RaG) systems. - Evaluate LLM performance and ensure models meet quality standards. - Utilize NLP techniques, LangChain, RAG, and LLMs to create custom conversational chatbots. - Stay abreast of the latest developments and trends in the machine learning industry. - Work with ML libraries and frameworks to innovate and enhance AI solutions. - Collaborate with product engineering teams on AI/ML projects, focusing on chatbots, NLP, and ETL pipeline design. *Requirements:** - 10 years of experience in product engineering, with a significant focus on AI/ML projects. - Strong experience with natural language processing models (e.g., BERT, torch). - Expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics. - Experience with AWS ML Services like Bedrock, Sagemaker, Extract, etc. - Proficiency in Python/R or equivalent tech stack. - Familiarity with ML libraries (scikit-Learn, Pandas, Matplotlib, Seaborn, D3.js). - Experience in building chatbots using LLM models, NLP, and designing ETL pipelines is strongly favorable. - Knowledge of Generative AI and current industry trends is a plus. *Preferred Qualifications:** - A degree in Computer Science, AI, Machine Learning, Data Science, or a related field. - Demonstrated ability to stay updated with ML industry developments. - Proven track record of developing cutting-edge AI solutions for clients. Benefits: Competitive salary and benefits package. Opportunities for professional growth and development. Dynamic and collaborative work environment. Flexible work hours and hybrid work options.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Machine Learning Engineer (nlp, Rag, Llm,)Contact Details:
Company: TalentshipLocation(s): Chennai+ View Contact
Keyskills: Python NLP Data Science Statistics Matplotlib Pandas
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