Live opening · Posted 9 days ago
Senior AI Engineer
Smc Global Securties Limited. · Delhi, India (On-site)
You are 9 days behind. JobBeeper subscribers saw this role while it was still new.
At a glance
The key details from the original listing.
CompanySmc Global Securties Limited.
LocationDelhi, India (On-site)
Work modeNo
Source
Linkedin
Listed9 days ago
Your early-applicant advantage
Live timing from JobBeeper.
2 min
from Linkedin publishing this role to us finding it
6 min
median time from a role going live to a subscriber being told
6 hours
subscribers had this role before this page existed
73,805
roles found in the last 24 hours — the newest are not on this site yet
About the role
Description supplied by the original job listing.
The Role :
We are looking for a Senior AI Engineer to build the next generation of intelligent trading and advisory systems. You will work at the intersection of Stockbroking and Open Source AI, deploying scalable models on AWS that process millions of transactions and market ticks daily. You will move beyond simple chatbots to build agentic workflows that assist traders, automate compliance, and predict market anomalies in real-time.
Key Responsibilities :
- Real-Time Financial Models: Develop and deploy low-latency models for stock trend prediction, algorithmic trading signals, and fraud detection using PyTorch/TensorFlow.
- Generative AI for Finance: Fine-tune open-source LLMs (Llama 3, Mistral, Gemma) on proprietary financial datasets to build "Market-Aware" RAG systems for research reports and client advisory.
- AWS Cloud Architecture: Architect serverless inference pipelines using AWS SageMaker, Lambda, and Fargate. Optimize costs by utilizing Spot Instances and AWS Inferentia chips.
- Data Engineering: Build robust ETL pipelines using AWS Glue and Athena to process high-frequency tick data and structured financial reports.
- Compliance & Security: Ensure all AI models comply with SEBI regulations regarding data privacy. Implement "Privacy-Preserving ML" techniques to ensure customer data never leaves our secure VPC.
Tech Stack :
- Languages: Python (Advanced), SQL, C++ (Bonus for high-frequency trading optimization).
- Cloud (AWS): SageMaker, Bedrock, Lambda, S3, ECR.
- AI/ML Frameworks: PyTorch, Hugging Face Transformers, LangChain/LlamaIndex, Scikit-learn.
- Vector Databases: Qdrant, Milvus, or AWS OpenSearch.
- DevOps: Docker, Kubernetes (EKS), GitHub Actions for CI/CD.
Experience We Value :
- Financial Domain Knowledge: Understanding of technical indicators (RSI, MACD), Options Greeks, or fundamental analysis ratios.
- Open Source Contributions: A history of contributing to or utilizing open-source AI projects.
- Latency Optimization: Experience quantifying models (Quantization, Pruning) to run on CPU/Edge devices to reduce cloud costs.
Work arrangement
No
More openings worth a look
Recently tracked roles with full details and direct application links.
Good roles move before most people even see them.
Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →