MLOps Engineer
Status: Full Time, Employee
Experience: 4+ years
Qualification: B.Tech./ B.E./ M.Tech degree in Computer Science or equivalent software engineering
Location: Baner, Pune
Roles & Responsibilities:
- Design and implement ML model deployment pipelines, ensuring models are versioned, scalable, and accessible.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Monitor and manage the performance of deployed models, including troubleshooting and updating models as necessary.
- Develop and maintain documentation for machine learning operations processes and best practices.
- Ensure compliance with data privacy and security policies throughout the ML lifecycle.
- Optimize ML and data processing pipelines for performance and cost efficiency.
- Stay updated with the latest technologies and trends in MLOps, machine learning, and AI.
Requirements:
- 4+ years of hands-on experience in deploying and managing ML models in production environments.
- Strong programming skills in Python, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
- Experience with cloud services (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
- Knowledge of CI/CD practices and tools (e.g., Jenkins, GitLab CI).
- Familiarity with data pipeline and workflow management tools (e.g., Airflow, Kubeflow).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills to work effectively across teams.
What We Offer You:
- A constant stream of new things for you to learn. We're always expanding into new areas and exploring new ideas.
- A set of extraordinarily talented and dedicated peers.
- A stable, collaborative, and supportive work environment.
Compensation:
It will be the best in the industry and according to experience of the candidate and company norms.
To apply for this position, please email your resume to careers@xecurify.com and simply mention in the subject as MLOps Engineer.
