
Senior AI/ML Engineer
3 weeks ago
Job Title : Senior AI/ML Engineer
Location : Pune, India
Experience : 5 - 8 Years
Employment Type : Full Time
Job Summary :
Key Responsibilities :
- Innovation & Research : Stay updated on the latest advancements in AI/ML, LLMs, vector databases, and Agentic AI frameworks; evaluate and incorporate emerging technologies into projects.
- Team Leadership : Lead and mentor junior AI engineers, providing technical guidance and fostering innovation.
- Generative AI Implementation : Work with prompt engineering, fine-tuning of LLMs, embeddings, RAG systems, and vector databases (e.g., FAISS, Pinecone).
- Framework Expertise : Implement and optimize solutions using frameworks such as Autogen, LangGraph, CrewAI, AgentForce.
- Cloud AI Solutions : Architect and deploy AI/ML pipelines on AWS, GCP, or Azure, leveraging
their GenAI services.
- Data Handling : Design ETL pipelines, extract and process large datasets, and work with SQL for advanced querying and analysis.
- Production Deployment : Build scalable, production-ready AI/ML systems with robust monitoring and maintenance workflows.
- Collaboration : Work closely with business stakeholders to translate requirements into data-
driven and AI-powered & Skills : Bachelors or Masters in Computer Science, AI/ML, Data Science, or related field.
Experience :
- 5 - 8 years in AI/ML solution design and deployment.
- Strong hands-on experience with ML/DL models, LLMs, and business problem-solving using AI.
- Minimum 2 years in Generative AI development.
Technical Skills :
- Programming : Python (NumPy, Pandas, Scikit-learn), PyTorch, TensorFlow, Hugging Face Transformers.
- Generative AI : Prompt engineering, fine-tuning, embeddings, RAG pipelines.
- Databases : SQL, vector DBs (FAISS, Pinecone).
- Agentic AI : Autogen, LangGraph, CrewAI, AgentForce.
- Cloud Platforms : AWS, GCP, Azure (AI & ML services).
- ETL design and implementation.
Soft Skills :
- Strong analytical thinking, problem-solving ability, and excellent communication skills for both technical and non-technical : ML/AI Engineer | Data Scientist | Data Engineer | Automation Level :
- Machine Learning - Advanced- Artificial Intelligence - Advanced
- Generative AI - Advanced
- Data Science - Advanced
- Python, PyTorch, TensorFlow - Advanced
- SQL, ETL - Advanced
- AWS / Azure / GCP - Proficient
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