Applied ML Engineer

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:

• 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.