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Crisil
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Senior MLOps Engineer

Senior MLOps Engineer

Crisil

3 years

0 Lacs

hyderabad telangana india

Posted:1 week ago| Platform:

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Skills Required

technology engineering ml data ai learning deployment monitoring management drive automation risk sql microservices orchestration development model governance optimization documentation analytics writing code python elasticsearch nosql apache airflow spark kafka databricks mlflow containerization kubernetes workflow programming architecture processing research

Work Mode

On-site

Job Type

Full Time

Job Description

Locations: Pune, Mumbai, Hyderabad, Gurugaon
Categories: Information TechnologyJob Description:Grade Level (for internal use): 10AAbout 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

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Financial Services

Mumbai Maharashtra

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Senior MLOps Engineer