Description :

- Design and build low-latency AI/ML models for trading signals, market trend prediction, and fraud detection.

- Fine-tune and deploy open-source LLMs (Llama 3, Mistral, Gemma) for market-aware RAG (Retrieval-Augmented Generation) and AI-driven advisory systems.

- Architect and maintain serverless AI pipelines on AWS using SageMaker, Lambda, Fargate, and Bedrock.

- Build and optimize ETL pipelines for high-frequency financial and tick data using AWS Glue and Athena.

- Develop scalable, production-ready GenAI workflows using LangChain, vector databases, and retrieval systems.

- Ensure SEBI-compliant, privacy-preserving, and secure ML pipelines aligned with financial regulations.

- Collaborate closely with product, trading, compliance, and engineering teams to deliver high-impact AI solutions.

- Monitor model performance, latency, drift, and continuously improve system reliability.

Required Skills & Qualifications:

- 26 years of hands-on experience in AI/ML, Data Science, or GenAI engineering roles.

- Strong programming skills in Python and SQL.

- Hands-on experience with PyTorch, Hugging Face Transformers, and GenAI frameworks.

- Practical experience with LLM fine-tuning techniques such as LoRA and QLoRA.

- Strong understanding and implementation experience of RAG architectures.

- Experience working with vector databases such as Qdrant or Milvus.

- Solid understanding of real-time or near real-time data processing systems.

- Strong experience with AWS services: SageMaker, Bedrock, Lambda, S3, ECR, Fargate.

- Knowledge of financial markets, trading systems, or fintech workflows is highly desirable.

Tech Stack :

- LLMs & GenAI: Llama 3, Mistral, Gemma, LangChain

- Fine-Tuning: LoRA, QLoRA

- Languages: Python, SQL (Bonus: C++)

- ML Frameworks: PyTorch, Transformers

- Vector DBs: Qdrant, Milvus

- Cloud: AWS (SageMaker, Bedrock, Lambda, S3, Glue, Athena, ECR, Fargate)

Nice to Have/Bonus Skills :

- Experience with C++ and latency optimization for real-time systems.

- Prior exposure to trading systems, stockbroking, or financial compliance platforms.

- Contributions to open-source AI/ML projects.

- Understanding of market microstructure and high-frequency data pipelines.

Why Join SMC Group ?

- Work on high-impact AI systems used in real trading and advisory platforms.

- Opportunity to build production-grade GenAI solutions in a regulated fintech environment.

- Exposure to cutting-edge open-source LLMs and cloud-native AI architectures.

- Collaborative, innovation-driven engineering culture