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AI / ML Engineer - LLM / Deep Learning

AI / ML Engineer - LLM / Deep Learning

YO HR ConsultancyPune
30+ days ago
Job description

Job Role : AI / ML Engineer

Experience : 5-8 Years

Location : Pune / Hyderabad

Work Mode : Work from office

Roles & Responsibilities :

We are seeking an experienced and driven Senior AI / ML Engineer with 5-8 years of experience in AI / ML Predictive ML, GenAI and Agentic AI. The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving.

As an AI / ML Solution Engineer, build AI / ML, Gen AI, Agentic AI empowered practical in-depth solutions for solving customers business problems. As an AI / ML Solution Engineer, design, develop, and deploy machine learning models and algorithms.

Conduct research and stay up-to-date with the latest advancements in AI / ML, GenAI, and Agentic AI. Lead a team of junior AI engineers, providing direction and support.

Requirements :

  • Bachelors or Masters degree in computer science / AIML / Data Science.
  • 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and LLM models for solving business problems.
  • Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems.
  • Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face), or MLlib.
  • Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc
  • Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen

AI services.

  • Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments.
  • Experience with scripting in SQL, extracting large datasets, and designing ETL flows.
  • Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions.
  • Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
  • (ref : hirist.tech)

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