MLOps Engineer (3-6 yrs)

Job location : Remote in India

About the role :

We are seeking a skilled MLOps Engineer with 3+ years of experience to design, implement, and manage machine learning operations that align with our company's strategic goals. The ideal candidate will have a strong background in machine learning, software engineering, and data system architectures. You will play a critical role in enhancing our machine learning lifecycle from model development to production, ensuring scalability, efficiency, and reliability.

What you will be expected to do :

• Design and implement robust MLOps solutions that integrate with existing CI/CD pipelines and data platforms.
• Develop automated tools and frameworks for model training, testing, deployment, and monitoring.
• Partnering with data scientists and software engineers to ensure operational and architectural alignment.
• Maintain and optimize machine learning infrastructure for performance and scalability.
• Implement best practices for data governance, security, and compliance in machine learning operations.
• Continuously research and integrate new MLOps tools and methodologies to enhance workflow efficiencies.

• Bachelor's Degree in Computer Science or a similar quantitative field.
• 3+ years of experience in Machine Learning and related fields
• 2+ years of experience in an MLOps or related role, with a proven track record of deploying and managing ML systems in production.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, Scala).
• Experience with containerization technologies (e.g., Docker, Kubernetes) and cloud services (e.g., AWS, Azure, Google Cloud).
• Familiarity with data orchestration tools (e.g., Apache Airflow) and model monitoring solutions.
• Excellent problem-solving, teamwork, and communication skills.
• Certifications in relevant technologies (e.g., AWS Machine Learning, Kubernetes) are good to have.