[Hiring] Machine Learning Engineer - Azure & Databricks @Encora

Role Description

We at Coforge are hiring a Machine Learning Engineer - Azure & Databricks (#22151) with the following skill set.

• Deploy and operationalize Machine Learning and AI models developed by Data Scientists.
• Design and develop APIs and services to expose machine learning models, predictions, and curated datasets.
• Build scalable batch and real-time inference pipelines.
• Develop low-latency systems supporting AI and Machine Learning workloads.
• Build and maintain data pipelines within Azure and Databricks environments.
• Implement model-serving patterns using REST APIs and microservices architectures.
• Productionize LLM-powered solutions, semantic search, and retrieval systems.
• Implement monitoring, logging, alerting, model versioning, and CI/CD practices.
• Optimize performance, scalability, and cost efficiency of ML services and data platforms.
• Collaborate closely with Data Scientists, Data Engineers, and business stakeholders to deliver production-ready AI solutions.

Qualifications

• 5 to 8+ years of experience in Machine Learning Engineering or backend/platform engineering with ML exposure.
• Strong programming skills in Python.
• Experience building APIs using FastAPI, Flask, or similar frameworks.
• Proven experience deploying Machine Learning models into production environments.
• Experience building inference services and scalable APIs.
• Knowledge of both batch and real-time Machine Learning systems.
• Hands-on experience with Azure and Databricks or similar platforms.
• Familiarity with Lakehouse architectures and distributed processing technologies such as Spark.
• Experience designing RESTful APIs and scalable backend services.
• Strong understanding of low-latency system design and microservices architecture.
• Experience with CI/CD pipelines, Docker, and Kubernetes.
• Knowledge of monitoring, observability, and DevOps best practices.

Requirements

• Experience with LLM deployment and integration.
• Knowledge of embeddings, semantic search, and Retrieval-Augmented Generation (RAG).
• Familiarity with Prompt Engineering workflows.
• Exposure to insurance domains including policy, claims, or underwriting data.
• Experience working in financial services or regulated industries.

Company Description

At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.