Pune, Maharashtra, India
Information Technology
Full-Time
CGI
Overview
Job Title: MLOps Engineer
Position: 1
Experience: 6 yrs-10 yrs
location: Bangalore
Job Description
Qualification & Experience Bachelor’s or master's degree in computer science, Data Science, or a related field.
Proven experience (4+ years) building and managing MLOps pipelines for machine learning models, preferably in a cloud environment (AWS preferred).
Strong understanding of containerization technologies (Docker) and container orchestration platforms.
Experience with AWS services such as SageMaker, Bedrock, EC2, S3, Lambda, and CloudWatch.
Practical knowledge of CI/CD principles and tools.
Experience working with large language models (LLMs).
Excellent communication, collaboration, and problem-solving skills.
Knowledge on software product cost, monitoring & optimization.
Drive technical discussions and explain options/choices to technical and non-technical audience Optional Skills Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
Familiarity with generative AI models and frameworks like LangChain.
Experience with infrastructure-as-code tools like Terraform or CloudFormation.
Knowledge of model monitoring and explainability techniques.
Familiarity with various data storage and processing technologies.
Experience With Other Cloud Platforms (e.g. GCP).
Contributions to open-source projects related to MLOps or machine learning.
Responsibilities
Design, develop, and maintain robust MLOps pipelines for generative AI models on AWS, leveraging services like SageMaker, Bedrock, and other relevant AWS services. Implement CI/CD pipelines for automating model training, testing, and deployment workflows
Your future duties and responsibilities
Required Qualifications To Be Successful In This Role
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
Position: 1
Experience: 6 yrs-10 yrs
location: Bangalore
Job Description
Qualification & Experience Bachelor’s or master's degree in computer science, Data Science, or a related field.
Proven experience (4+ years) building and managing MLOps pipelines for machine learning models, preferably in a cloud environment (AWS preferred).
Strong understanding of containerization technologies (Docker) and container orchestration platforms.
Experience with AWS services such as SageMaker, Bedrock, EC2, S3, Lambda, and CloudWatch.
Practical knowledge of CI/CD principles and tools.
Experience working with large language models (LLMs).
Excellent communication, collaboration, and problem-solving skills.
Knowledge on software product cost, monitoring & optimization.
Drive technical discussions and explain options/choices to technical and non-technical audience Optional Skills Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
Familiarity with generative AI models and frameworks like LangChain.
Experience with infrastructure-as-code tools like Terraform or CloudFormation.
Knowledge of model monitoring and explainability techniques.
Familiarity with various data storage and processing technologies.
Experience With Other Cloud Platforms (e.g. GCP).
Contributions to open-source projects related to MLOps or machine learning.
Responsibilities
Design, develop, and maintain robust MLOps pipelines for generative AI models on AWS, leveraging services like SageMaker, Bedrock, and other relevant AWS services. Implement CI/CD pipelines for automating model training, testing, and deployment workflows
Your future duties and responsibilities
Required Qualifications To Be Successful In This Role
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
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