Machine Learning / MLOps Engineer
Machine Learning / MLOps Engineer
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Job Description
Position Description:
Company Profile:
At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 professionals located in 40 countries. Founded in 1976 CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources expertise stability and dedicated professionals needed to achieve. At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 professionals located in 40 countries. Founded in 1976 CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources expertise stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at .
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position however only candidates selected for interviews will be contacted. No unsolicited agency referrals please.
Position Description
Job Title: MLOps Engineer
Position: 1
Experience: 5-10 yrs
location: Bangalore
Job Description
Qualification & Experience Bachelors or Masters degree in Computer Science Data Science or a related field.
Proven experience (2 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
Skills:
- Amazon CloudFront
- GIT
- GIT
- SQL
What you can expect from us:
Together as owners lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll 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.
Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.
Employment Type
Full-Time
