CHENNAI · FULLTIME
MLOps Engineer
Blackstraw AI
Chennai · onsite · Posted 3d ago
Sourced from
Undisclosed5–10 yrsfulltimeChennai
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Section · 01
About this role
Job Role / Requirement:
Typical duties and responsibilities
- Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.
- Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes.
- Automate the training, testing and deployment processes for machine learning models.
- Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability.
- Implement best practices for version control, model reproducibility and governance.
- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
- Troubleshoot and resolve issues related to model deployment and performance.
- Ensure compliance with security and data privacy standards in all MLOps activities.
- Keep up-to-date with the latest MLOps tools, technologies and trends.
- Provide support and guidance to other team members on MLOps practices.
Required skills and experience
- 4+ years of experience in MLOps, DevOps or a related field.
- Bachelor’s degree in Computer Science, Data Science or a related field.
- Strong understanding of machine learning principles and model lifecycle management.
- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
- Knowledge of CI/CD pipelines, automation tools and version control systems like Git.
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Experience with monitoring tools and practices for model performance in production.
- Ability to work collaboratively in cross-functional teams
- Experience with infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Knowledge of big data technologies like Apache Spark or Hadoop.
- Familiarity with data engineering practices and tools.
- Experience with A/B testing and model validation in production environments.
- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.
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Section · 02
Skills
MLOpsModel lifecycle managementPythonMicrosoft Azure
Section · Company
About Blackstraw AI
Blackstraw AI
IT Services & Consulting
51
employees
2018
8 years old
Tampa, Florida
headquarters
₹13.3L PA avg
Avg at Blackstraw AI
About
Our cutting-edge, end-to-end artificial intelligence platform will transform your business, boosting efficiency and streamlining operations so you can achieve your goals faster and with ease!
Industries
IT Services & Consulting
Employee ratings
10 reviews
3.9/ 5
Culture
3.5
Career growth
3.3
Work-life
3.0
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