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The Value Maximizer
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MLOps Engineer

MLOps Engineer

The Value Maximizer

3 years

0 Lacs

telangana india

Posted:8 hours ago| Platform:

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Skills Required

data learning gcp reliability scalability ml software engineering airflow monitoring model troubleshooting cutting design automate deployment resolve documentation compliance security regulations python containerization docker automation communication code terraform development power drive

Work Mode

On-site

Job Type

Full Time

Job Description

Location:

Hyderabad & Chennai

Workplace Type:

Hybrid

About The Role

We are seeking a highly skilled and motivated MLOps Engineer to join our growing data science team. In this role, you will be responsible for building, deploying, and maintaining machine learning models in production using Google Cloud Platform (GCP). You will work closely with data scientists and engineers to ensure the reliability, scalability, and performance of our ML systems. The ideal candidate has a strong background in software engineering, data engineering, and machine learning, with hands-on experience using GCP services such as BigQuery, Airflow, and Dataproc. You will be instrumental in automating our ML pipelines, monitoring model performance, and troubleshooting issues. This is an exciting opportunity to contribute to cutting-edge ML projects and make a significant impact on our business.

Key Responsibilities

Design, develop, and maintain scalable and reliable MLOps pipelines on GCP
Automate the deployment and monitoring of machine learning models in production
Collaborate with data scientists to productionize their models and experiments
Implement CI/CD pipelines for machine learning models
Monitor model performance and identify areas for improvement
Troubleshoot and resolve issues related to ML infrastructure and deployments
Optimize ML pipelines for performance and cost efficiency
Develop and maintain documentation for MLOps processes and infrastructure
Stay up-to-date with the latest MLOps tools and techniques
Ensure compliance with security and data privacy regulations

Required Skills & Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
3+ years of experience in MLOps or a related role
Strong proficiency in Python and PySpark
Extensive experience with Google Cloud Platform (GCP) services, including BigQuery, Airflow, and Dataproc
Experience with containerization technologies such as Docker and Kubernetes
Experience with CI/CD pipelines and automation tools
Solid understanding of machine learning concepts and algorithms
Experience with model monitoring and alerting tools
Excellent problem-solving and communication skills
Ability to work independently and as part of a team
Experience with infrastructure-as-code tools such as Terraform or CloudFormation is a plus

Additional Information

We offer a competitive salary and benefits package, including health insurance, paid time off, and professional development opportunities. We are committed to creating a diverse and inclusive work environment where everyone feels valued and respected. We encourage applications from all qualified candidates, regardless of race, ethnicity, religion, gender, sexual orientation, age, or disability. This role offers the opportunity to work on challenging and impactful projects, collaborate with a talented team, and grow your career in the exciting field of MLOps. You will be at the forefront of innovation, helping us to leverage the power of machine learning to solve complex business problems and drive growth. We are looking for a passionate and driven individual who is eager to learn and contribute to our success.

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MLOps Engineer