Experience
4 - 5 yrs
Salary (CTC)
₹39.7L - ₹59.1L
Job Location
Noida, India
Vacancy
1
Designation
Data Science Engineer
Job Type
ONSITE
Job Description
Job Summary
Join Adobe as a Data Science Engineer 3 and be part of our pioneering team in Noida! This outstanding opportunity allows you to lead the development of powerful AI systems, bridging the gap between AI research and scalable software engineering. You'll focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic workflows.
Responsibilities - System Architecture Development: Lead the development of scalable backend systems and robust architectures for platforms driven by artificial intelligence, ensuring high availability and security.
- GenAI Implementation: Build and deploy production-scale Agentic AI workflows and multi-model RAG pipelines using frameworks like LangChain or LlamaIndex.
- Model Optimization: Fine-tune LLMs using techniques like LoRA or QLoRA and perform prompt engineering to improve model accuracy and efficiency.
- API Development: Develop high-performance RESTful or GraphQL APIs (typically using FastAPI or Flask) to integrate AI models with enterprise applications.
- Data MLOps: Implement data ingestion and preprocessing mechanisms, while coordinating LLMOps practices such as model versioning, monitoring, and CI/CD for AI services.
- Leadership Mentorship: Provide technical guidance to junior developers, conduct rigorous code reviews, and foster a collaborative environment adhering to established guidelines.
- Advanced Python: Expert-level proficiency (typically 5-8+ years) in Python, including asynchronous programming (asyncio), OOP, and build patterns.
- AI Frameworks: Deep experience with Hugging Face, PyTorch, or TensorFlow, and specialized GenAI libraries like LangGraph or CrewAI.
- Vector Databases: Hands-on knowledge of vector search and storage solutions like Pinecone, Weaviate, or FAISS.
- Cloud Platforms: Strong experience deploying to cloud environments like AWS, Azure, or GCP.
- Data Engineering: Proficiency in data processing libraries such as Pandas and NumPy, and experience with SQL/NoSQL databases.
- DevOps: Skilled in Docker, Kubernetes, and CI/CD platforms (e.g., Jenkins, GitHub Actions) to ensure production stability.
- Industry Experience: 7+ years in software development, with at least 1-2 years specifically passionate about Generative AI or LLM integration.
- Education: A Bachelor's or equivalent experience, or a Master's degree or equivalent experience in Computer Science, Engineering, or a related STEM field.
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