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About Company
Our client is a trusted global innovator of IT and business services. We help clients transform through consulting, industry solutions, business process services, digital & IT modernisation and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.
Job Title: Applied ML Engineer
Location: Pan India
Experience: 7+ yrs
Job Type : Contract to hire
Notice Period:- Immediate joiner
Mandatory Skills
Hands-on experience with Applied ML Engineer.
An Applied ML Engineer to design, deploy, and operationalize machine-learning models that power the NBA Decision Engine, enabling intelligent selection of the most relevant Next Best Action using real-time and historical data. This role focuses on building and integrating Python-based ML models (e.g., propensity, ranking, uplift, or optimization models), serving models via low-latency APIs, and integrating with feature stores, streaming pipelines (Kafka or equivalent), and decisioning services built in Node.js and/or Python. The ideal candidate has strong experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), MLOps practices (model versioning, monitoring, retraining), and understands explainability, bias, and guardrails in regulated environments. The engineer will collaborate closely with data engineers, rules engineers, and backend teams to ensure models are reliable, observable, and safely embedded into production decision workflows at scale.
Responsibilities
Qualifications
Job ID: 137450117
