Senior MLOps Engineer

About Crisil Limited

We are a leading, agile, and innovative global analytics company driven by our purpose to make markets function better. We are a bold organization powered by deep expertise, unparalleled analytics and relentless innovation. We collaborate seamlessly to deliver mission critical insights thereby instilling & amplifying client's success.

Life at Crisil

Be the impact

Drive growth with a strong sense of purpose.

Create lasting impact that affects individuals, businesses, and the society at large.

That's what 'Life@Crisil' is all about.

This is where you unlock the next chapter of your career - fueled by our caring culture which encourages you to learn and innovate, an environment that fosters positivity through our people-first approach and an attractive rewards & benefits program that puts your growth in the spotlight. An inspiring setting where you will find the brightest minds, inspiring you to unleash your potential.

Crisil is a place where your ideas and opinions are always welcome, and continuous learning is the norm. Because we know that's what it takes to solve the biggest real-world challenges and move the needle in the direction of unexplored future possibilities. All without compromising on our strong ethics.

So go ahead. Unlock the next chapter of your career.

Be the impact that transforms the world.

Job Description

Senior MLOps Engineer

Locations: Pune, Mumbai, Hyderabad, Gurugaon

Categories: Information Technology

Job Description:

Grade Level (for internal use): 10A

About the Role:

We are seeking a Senior MLOps Engineering - GenAI/ML to join our DS team within the CRISIL- GAC Data Science focusing on building Generative AI/ML solutions.
You will own the engineering activities for building production grade generative AI and ML solutions, play a pivotal role in implementing our machine learning engineering operations to ensure the seamless deployment, monitoring, and management of our machine learning models and data pipelines.

The Team:

You will be work closely in a motivated AI/ML team comprised of experts in AI/ML modeling, data science and technology teams. You will contribute to engineering and developing solutions for ML operations and be a critical part of leading CRISIL's AI-driven transformation to drive value internally and for our customers. CRISIL is a leader in automation and AI/ML to transform risk management. This role is a unique opportunity for ML/MLOps engineers to grow into the next step in their career journey.

Responsibilities and Impact:

• Own ML Engineering to architect, build and deploy production grade GenAI services and solutions.
• Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services and more.
• Lead MLOps/LLMOps platform development & automated pipelines focusing on deploying, monitoring and maintaining models in production environments; with model governance, cost and performance optimization.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Create and manage Documentation and knowledge base, including development best practices, MLOps/LLMOps processes and procedures.
• Work closely with members of technology teams in the development, and implementation of Enterprise AI platform.

What We're Looking For:

Basic Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a STEM field.
• 3+ years of progressive experience as in machine learning, data analytics or similar roles.
• 2+ years of relevant experience with
      - Writing production level, scalable code with Python (or scala)
      - MLOps, machine learning engineering, Big Data, or a related role.
      - Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow.
      - Containerization, Kubernetes, cloud platforms, CI/CD and workflow orchestration tools.
      - Distributed systems programming, AI/ML solutions architecture, Microservices architecture experience.

Additional Preferred Qualifications:

• 1+ years of experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions
• Experience with contributing to open-source initiatives or in research projects and/or participation in Kaggle competitions
• 2+ years of experience working with RAG pipelines, prompt engineering and/or Generative AI use cases.
• Experience with Monitoring tools and Observation tools for ML sevices

Open Positions

1

Mandatory Skills

deployment, Infrastructure Design, kubernetes, Machine Learning, GenAI, Natural Language Processing, Artificial Intelligence, monitoring tools

Location

Pune / Hyderabad / Gurgaon / Mumbai

Education Qualification

BEng, BE, BTech, MEng., ME, MTech, BSc, MSc

Experience

3 to 6 years