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SMC Linkedin · Posted 3mo ago

Interesting Job Opportunity: Software Engineer - Generative AI

Delhi, Delhi, India

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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

(ref:hirist.tech)
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