Machine Learning Engineer

Machine Learning Operations Engineer

Fulltime Role

Remote

This is a fulltime role, not open for C2C

Job Description:

We are seeking a highly skilled and experienced ML Ops Engineer to join our team in USA. You will play a crucial role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, working closely with the Generative AI Full Stack Architect . Your expertise in automating and streamlining the ML lifecycle will be instrumental in ensuring the efficiency, scalability, and reliability of our Generative AI models in production.

Responsibilities:

· Design, develop, and implement ML Ops pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring.

· Automate ML tasks across the model lifecycle, leveraging tools like GitOps, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes).

· Develop and maintain robust monitoring and alerting systems for generative AI models in production, ensuring proactive identification and resolution of issues.

· Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization.

· Manage and maintain cloud infrastructure (e.g., AWS, GCP, Azure) for ML workloads, ensuring cost-efficiency and scalability.

· Stay up-to-date on the latest advancements in MLOps and incorporate them into our platform and processes.

· Communicate effectively with technical and non-technical stakeholders about the health and performance of generative AI models.

Qualifications:

· Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.

· 8+ years of experience in MLOps or related areas, such as DevOps, data engineering, or ML infrastructure.

· Proven experience in automating ML pipelines with tools like MLflow, Kubeflow, Airflow, etc.

· Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads.

· Strong understanding of CI/CD principles and containerization technologies like Docker and Kubernetes.

· Familiarity with monitoring and alerting tools for ML systems (e.g., Prometheus, Grafana).

· Excellent communication, collaboration, and problem-solving skills.

· Ability to work independently and as part of a team.

· Passion for Generative AI and its potential to revolutionize various industries.

· Senior individual contributor with significant expertise and leadership experience.

· Manages complex projects and initiatives with independent decision-making authority.

· Provides technical guidance and mentoring to junior team members.

· Has a proven track record of success in delivering impactful results.

Job Type: Full-time

Pay: $115,237.82 - $138,781.03 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance

Schedule:

• 8 hour shift

Work Location: Remote