Job Description
Role Overview
We are seeking a skilled AI/ML Engineer who have good experience in design, develop, and deploy scalable machine learning and AI solutions. The role involves working on real-world problems using advanced ML, deep learning, and Generative AI techniques, while ensuring production-grade reliability, performance, and compliance.
Key Responsibilities
Model Development & Deployment
- Design, develop, and optimize machine learning and deep learning models
- Work on supervised, unsupervised, and reinforcement learning use cases
- Deploy models into production using scalable APIs and microservices
- Optimize models for performance, latency, and cost
Generative AI & LLMs
- Build and integrate solutions using LLMs (e.g., OpenAI, open-source models)
- Implement RAG (Retrieval-Augmented Generation) pipelines
- Fine-tune models and design prompt engineering strategies
- Develop AI agents and workflow automation systems
Data Engineering & Processing
- Collect, clean, and preprocess structured and unstructured data
- Build feature engineering pipelines
- Work with large-scale datasets and distributed systems
Collaboration & Stakeholder Interaction
- Work closely with product managers, engineers, and business stakeholders
- Translate business requirements into technical AI solutions
- Present findings and model performance to leadership
Required Skills
Core AI/ML Skills
- Strong experience in machine learning algorithms and statistical modeling
- Hands-on experience with deep learning frameworks (TensorFlow / PyTorch)
- Experience with NLP, Computer Vision, or Time-Series models
Generative AI
- Experience with LLMs, prompt engineering, and RAG architectures
- Familiarity with frameworks like LangChain, LlamaIndex, or LangGraph
- Understanding of embeddings, vector databases (FAISS, Pinecone, etc.)
Programming & Tools
- Strong programming in Python
- Experience with libraries: scikit-learn, pandas, NumPy, Hugging Face
- Knowledge of REST APIs, FastAPI/Flask
- Experience with Docker, Kubernetes (preferred)
Cloud & Platforms
- Hands-on experience with AWS / GCP / Azure
- Familiarity with ML services like SageMaker, Vertex AI, or Azure ML
Qualifications
- Bachelors/Masters degree in Computer Science, AI, Data Science, or related field
- Relevant certifications in AI/ML or Cloud (preferred)
Preferred Experience
- Experience in BFSI / FinTech / Healthcare domains
- Working with sensitive or regulated data environments
- Exposure to real-time AI systems and high-scale deployments
Key Competencies
- Strong problem-solving and analytical thinking
- Ability to work independently and in cross-functional teams
- Good communication and presentation skills
- Ownership mindset and attention to detail
Nice to Have
- Experience with AI agents / autonomous systems
- Knowledge of model explainability (SHAP, LIME)
- Familiarity with data privacy, compliance, and security standards
- Experience in building AI platforms or internal tools
Location: Banglore
Experience: 68 Years
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