Artificial Intelligence Engineer
6 days ago
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 Responsibilities1.Build AI Products That MatterDevelop and operationalize models for:Trading signals & pattern recognitionMarket data insights & anomaly detectionCustomer segmentation, churn prediction & behavioural analyticsRM advisory co-pilot workflowsFraud & risk-scoring enginesIntelligent onboarding, KYC automation & document understandingDeploy seamlessly using robust MLOps pipelines.2. Bring GenAI Into the CoreBuild GenAI/NLP/ML workflows for:Automated support & agent-assistBack-office automation & compliance workflowsContact center conversation intelligenceCross-sell insights, lead scoring & personalised campaigns3. Integrate AI Into the Real WorldConnect models with:Mobile & web trading platformsMarket data systemsCRM, RM dashboards & advisory toolsBack-office, OMS/RMS & internal APIs4. Own Data & Model PerformanceWork 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 OwnerCo-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 ExpertiseStrong hands-on experience building, deploying, and scaling ML models:Regression, classification, clusteringNLP, LLM integration, RAG systemsRecommendation & personalization enginesProficiency in:Python, SQLML frameworks: TensorFlow / PyTorch / Scikit-learnNLP/LLM stacks: LangChain, HuggingFace, LlamaIndex (preferred)MLOps: Docker, Kubernetes, MLflow, Git, CI/CDAPI frameworks: FastAPI / FlaskExperience 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 signalsOrder types, OMS/RMS, risk frameworks, margins, MTFOnboarding, KYC, surveillance workflowsRM advisory lifecycle & customer engagement flowsWhat Makes You a Great FitYou’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 teamsWhat You Can Expect When You Join UsA 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.
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