MLOPs - 2+ Yrs - Gurgaon / Bangalore

Location – Gurugram

Summary Are you passionate about building and operationalizing machine learning systems at scale? We are looking for an MLOps Engineer with strong expertise in Python, AWS, CI/CD, and ML lifecycle management to design, deploy, and maintain production-grade ML and GenAI solutions. This role offers an opportunity to work on cutting-edge AI initiatives while collaborating closely with Data Scientists, Engineers, and global stakeholders.

Your Future Employer A leading global analytics and digital transformation organization helping enterprises leverage AI, Machine Learning, and advanced analytics to solve complex business challenges and drive innovation.

Responsibilities

• Design, build, and manage end-to-end machine learning systems, including data ingestion, training pipelines, deployment, monitoring, and retraining workflows.
• Develop and deploy batch and real-time inference services using REST APIs and scalable cloud-native architectures.
• Package, migrate, and optimize ML solutions across environments, including Databricks and AWS-based deployments.
• Build and maintain CI/CD pipelines for ML workloads with robust version control, testing, rollback mechanisms, and environment isolation.
• Monitor production models and services, implement drift detection frameworks, and drive model retraining and redeployment.
• Collaborate with Data Scientists and Engineers to develop, deploy, and maintain machine learning solutions and data-driven applications.
• Support GenAI and LLM workloads, including model serving, inference optimization, and cost-performance management.

Requirements

• 2–4 years of hands-on experience in Software Engineering, Data Engineering, ML Engineering, or MLOps.
• Strong proficiency in Python with experience developing clean, production-grade code.
• Experience building and deploying APIs using FastAPI, Flask, or similar frameworks.
• Hands-on experience with AWS services such as EC2, S3, and Lambda.
• Working knowledge of SQL, PySpark, and exposure to Databricks or equivalent data platforms.
• Experience with CI/CD pipelines, Git, testing frameworks, Docker, and DevOps best practices.
• Familiarity with MLOps tools such as MLflow, Model Registries, ML Observability, and Drift Detection solutions.
• Experience supporting Generative AI and Large Language Model (LLM) workloads in production environments.

What is in it for you

• Opportunity to work on enterprise-scale AI, ML, and Generative AI initiatives.
• Exposure to modern cloud-native architectures and advanced MLOps frameworks.
• Collaborative environment with highly skilled Data Scientists and Engineering teams.

Reach Us If you think this role is aligned with your career, kindly write to me along with your updated CV at vandana.hatwal@crescendogroup.in for a confidential discussion on the role.

Disclaimer Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us within 1 week. Your patience is highly appreciated.

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