Punjab Ai/ml engineer or data scientist (lead) Jobs – 4 Open Jobs Today

Lead AI Engineer
Finvasia —Mohali, Punjab
- Up to ₹25,29,091.97 a year
- Full-time
- Azure
- Master's degree
- Databases
- Health insurance
Quick apply
2d
AI Researcher
XenonStack —Mohali, Punjab
- Full-time
- Doctoral degree
- Computer Science
- Research
AI/ML Engineer OR Data Scientist (Lead)
Webmob —Mohali, Punjab
- Azure
- Java
- Master's degree
- Flexible schedule
Senior AI Engineer
zentechwave —Mohali, Punjab
- Full-time
- Azure
- Master's degree
- Databases
Quick apply

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Lead AI Engineer

Finvasia -
Mohali, Punjab

Quick apply

Job details

Permanent | Full-time
Up to ₹25,29,091.97 a year
2 days ago

Benefits

Provident Fund
Health insurance

Qualifications

TensorFlow
CI/CD
Azure
Law
Kubernetes
PyTorch
Software deployment
Master's degree
Databases
Microservices
SQL
AWS
Docker
Machine learning
Continuous integration
Deep learning
REST
Mentoring
Natural language processing
APIs
Fraud prevention and detection
Kafka
Data science
AI
Python

Full job description

We are looking for an experienced and hands-on AI Team Lead to lead the design, development, and deployment of AI/ML and Generative AI solutions for our FinTech products. The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, Generative AI/LLMs, RAG, AI Agents, and MLOps, along with experience leading and mentoring AI/ML teams.

The candidate will work closely with Product, Engineering, Data, and Business teams to identify and deliver scalable AI solutions across financial technology use cases.

Key Responsibilities

Lead and mentor a team of AI/ML Engineers and Data Scientists.
Design and develop production-grade AI/ML and Generative AI solutions.
Drive AI use cases across fraud detection, risk management, customer personalization, financial analytics, recommendation systems, automation, and intelligent assistants.
Develop and implement LLM-based applications, RAG pipelines, prompt engineering, embeddings, and AI Agent workflows.
Evaluate and implement suitable AI/ML models, frameworks, and emerging technologies.
Lead model training, fine-tuning, evaluation, optimization, deployment, and monitoring.
Build scalable MLOps/LLMOps pipelines for model lifecycle management.
Work with cloud platforms such as AWS, Azure, or GCP for AI/ML deployment.
Ensure AI solutions are scalable, secure, reliable, and cost-efficient.
Collaborate with Product, Engineering, Risk, Compliance, and Business teams to translate business requirements into AI solutions.
Establish coding, testing, documentation, model evaluation, and deployment best practices.
Stay updated with emerging technologies in GenAI, LLMs, Agentic AI, NLP, and Machine Learning.

Mandatory Skills & Experience

6+ years of experience in AI/ML, Machine Learning Engineering, Data Science, or a related field.
Strong hands-on expertise in Python.
Strong knowledge of Machine Learning, Deep Learning, NLP, and Generative AI.
Hands-on experience with LLMs, RAG, Prompt Engineering, Embeddings, and AI/Agentic workflows.
Experience with PyTorch, TensorFlow, Scikit-learn, or equivalent ML frameworks.
Strong understanding of MLOps, model deployment, monitoring, CI/CD, and ML lifecycle management.
Experience with AWS/Azure/GCP and cloud-based AI/ML solutions.
Experience with REST APIs, FastAPI, Docker, Kubernetes, or similar technologies.
Strong knowledge of SQL and data processing pipelines.
Proven experience in leading, mentoring, and managing AI/ML engineers.
FinTech/BFSI domain experience is mandatory.

FinTech Domain Expertise

Candidates with experience in one or more of the following areas will be preferred:

Fraud Detection & Prevention
Risk & Credit Scoring
KYC / AML
Algorithmic Trading / Investment Analytics
Personalization & Recommendation Systems
Financial Forecasting
Customer Intelligence
Document Intelligence & Automation
Conversational AI / Financial Chatbots
Transaction Monitoring & Anomaly Detection

Preferred Skills

Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar frameworks.
Experience with vector databases such as Pinecone, FAISS, Weaviate, or Chroma.
Hands-on experience with LLM fine-tuning, LoRA/QLoRA, Hugging Face Transformers.
Knowledge of AI governance, responsible AI, data privacy, model risk, and security.
Experience with MLflow, Kubeflow, Airflow, or similar MLOps tools.
Experience working with real-time data/streaming platforms such as Kafka.
Experience building scalable AI microservices and integrating AI models with fintech applications.

Pay: Up to ₹2,529,091.97 per year

Benefits:

Health insurance
Provident Fund

Work Location: In person

Quick apply

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