
Senior AI/ML Engineer
6 days ago
Mandatory :
Work model : WFO only
- Pune/Hyderabad location
- Looking for candidates who can join immediately or Max in 15 days only apply
Skills & Expertise :
- Ml models
- Deep Learning
- LLM
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 customer's 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 :
- Bachelor's or Master's degree in computer science / AIML / Data Science.
- 6 to 9 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.
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