Artificial Intelligence Engineer

About us:

At Bajaj Broking, we're on a mission to redefine how India invests.

We’re combining the trust of the Bajaj legacy with the speed and innovation of a digital-first tech organisation—building experiences that make investing simpler, smarter, and deeply customer centric.

We’re not just upgrading broking. We’re reimagining it. And now, we’re looking for someone who shares that vision.

Role Overview:

In this role, you will engineer and deploy AI/ML models that power trading intelligence, advisory automation, fraud/risk scoring, personalization engines, and operational efficiencies across the broking value chain. You will work at the intersection of AI, product, and markets, collaborating with cross-functional teams to deliver solutions that scale across millions of customers.

Key Responsibilities

1.Build AI Products That Matter

• Develop and operationalize models for:
• Trading signals & pattern recognition
• Market data insights & anomaly detection
• Customer segmentation, churn prediction & behavioural analytics
• RM advisory co-pilot workflows
• Fraud & risk-scoring engines
• Intelligent onboarding, KYC automation & document understanding
• Deploy seamlessly using robust MLOps pipelines.

2. Bring GenAI Into the Core

• Build GenAI/NLP/ML workflows for:
• Automated support & agent-assist
• Back-office automation & compliance workflows
• Contact center conversation intelligence
• Cross-sell insights, lead scoring & personalised campaigns

3. Integrate AI Into the Real World

• Connect models with:
• Mobile & web trading platforms
• Market data systems
• CRM, RM dashboards & advisory tools
• Back-office, OMS/RMS & internal APIs

4. Own Data & Model Performance

• Work across market feeds, trading logs, behavioural signals & customer journeys.
• Drive feature engineering, A/B tests & continuous optimizations.
• Monitor model drift, retraining cycles & production stability.

5. Collaborate Like an Owner

• Co-shape AI-first product roadmaps with Product Managers.
• Validate real use cases with Business, Operations & RM teams.
• Run demos, POCs, pilots & evangelise AI across the organisation.

Technical Expertise

• Strong hands-on experience building, deploying, and scaling ML models:
• Regression, classification, clustering
• NLP, LLM integration, RAG systems
• Recommendation & personalization engines

Proficiency in:

• Python, SQL
• ML frameworks: TensorFlow / PyTorch / Scikit-learn
• NLP/LLM stacks: LangChain, HuggingFace, LlamaIndex (preferred)
• MLOps: Docker, Kubernetes, MLflow, Git, CI/CD
• API frameworks: FastAPI / Flask
• Experience integrating AI into enterprise-scale or consumer-facing applications.

Domain Knowledge (Highly Preferred)

• Experience in Equity Broking, Trading, FinTech, WealthTech, or BFSI.
• Understanding of:
• Market data, indicators, algorithmic signals
• Order types, OMS/RMS, risk frameworks, margins, MTF
• Onboarding, KYC, surveillance workflows
• RM advisory lifecycle & customer engagement flows

What Makes You a Great Fit

You’ll thrive in this role if you are someone who:

• Loves building real-world AI products that impact millions—beyond experimentation and PoCs.
• Thinks deeply about user behaviour, trading patterns, risk, and operational flows.
• Can translate business pain points into clean, scalable AI solutions.
• Enjoys working hands-on with data, models, and production systems.
• Collaborates effortlessly with Product, Tech, RM, and Operations teams

What You Can Expect When You Join Us

• A high-impact role where your AI solutions directly shape trading, advisory, and customer experience for millions.
• A fast-growing digital ecosystem backed by the trust and scale of the Bajaj Group.
• Visibility and ownership across strategic AI initiatives with leadership access.
• A culture that values innovation, bold ideas, execution excellence, and continuous learning.
• Opportunities to work with modern stacks—LLMs, GenAI, MLOps, real-time data systems, and scalable architectures.

Our Commitment to You:

We are an Equal Opportunity Employer.

Diversity isn’t a checkbox for us—it’s how we build better products and a better organisation.

We welcome talent across gender, orientation, identity, ethnicity, ability, religion, or background. Your uniqueness is valued here.