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| Job Location | Bengaluru / Bangalore,Pune |
| Education | Not Mentioned |
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| EmploymentType | Full-time |
MLOps Trainer / Consultant Wanted We are actively seeking an experienced and knowledgeable MLOps Trainer / Consultant to join our dynamic team. If you are passionate about driving the adoption of Machine Learning Operations (MLOps) and possess expertise in CI/CD Pipeline, Docker, Kubernetes, Git, and other related technologies, we would love to hear from you! Responsibilities: Develop and deliver comprehensive training programs on MLOps principles, best practices, and tools. Collaborate with cross-functional teams to design and implement CI/CD pipelines for machine learning models. Provide guidance and consultancy on integrating ML workflows into production environments. Offer technical support and troubleshooting assistance to project teams working on ML initiatives. Stay updated with the latest trends and advancements in MLOps and recommend suitable tools and methodologies. Requirements: Solid understanding of MLOps concepts and methodologies. Proficiency in setting up and maintaining CI/CD pipelines for machine learning projects. Strong experience with Docker and Kubernetes for containerization and orchestration. Sound knowledge of Git version control and its application in ML workflows. Familiarity with Redis, Celery, and Jenkins is a plus. Excellent communication skills with the ability to effectively train and collaborate with diverse audiences. Why Join Us Exciting opportunity to work with cutting-edge technologies and shape the future of AI and ML. Collaborative and inclusive work environment that values innovation and growth. Chance to make a real impact by training and mentoring teams to effectively deploy ML models. Competitive compensation package and benefits. Flexible work arrangements and opportunities for professional development. If you are a passionate MLOps professional looking to make a difference in the industry and possess the required skills, we want to hear from you! Join our team and help drive the adoption of MLOps practices across various projects and organizations. How to Apply: Please send your resume, along with a brief cover letter outlining your relevant experience and why you are interested in this position, to [email protected] We look forward to reviewing your application and potentially welcoming you to our team!