Machine Learning / MLOps Engineer

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

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