Job Title: ML Ops Lead Location : USA Remote Visa: OPT EAD EAD GC Mode: C2C

 

ML Ops Lead

Job Title: ML Ops Lead

Location : USA Remote

Visa: OPT EAD EAD GC

Mode: C2C

Job Details:

As an ML Ops Lead, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, ensuring their seamless integration from development to deployment in production environments. This role requires a strong technical background in machine learning, deep understanding of deployment practices, and leadership skills to drive efficient ML operations.

Job Responsibilities:

1. Strategy and Planning:

   • Develop and implement ML Ops strategies to streamline model deployment and monitoring processes.
   • Collaborate with stakeholders to align ML initiatives with business goals and objectives.
   • Define best practices for continuous integration and deployment (CI/CD) pipelines specific to ML models.

2. Deployment and Automation:

   • Lead the deployment of machine learning models into production environments, ensuring scalability, reliability, and efficiency.
   • Automate model testing, monitoring, and retraining processes to maintain model performance over time.
   • Implement infrastructure as code (IaC) and containerization techniques (e.g., Docker, Kubernetes) for efficient model deployment.

3. Team Leadership:

   • Manage a team of ML engineers and data scientists, providing guidance on model deployment strategies and best practices.
   • Foster a culture of collaboration, innovation, and continuous improvement within the ML Ops team.
   • Conduct performance evaluations, mentorship, and career development for team members.

4. Technical Expertise:

   • Architect scalable and robust ML infrastructure solutions, including data pipelines, model serving layers, and monitoring dashboards.
   • Implement security and compliance standards in ML workflows, adhering to regulatory requirements.
   • Stay updated with the latest advancements in ML Ops tools, technologies, and methodologies.

5. Communication and Collaboration:

   • Communicate complex technical concepts to non-technical stakeholders, including executives and business leaders.
   • Collaborate with cross-functional teams including data engineering, software engineering, and product management to integrate ML solutions into business applications.
   • Lead meetings, workshops, and training sessions to disseminate ML Ops knowledge across the organization.

Skills Required:

• Proven experience (minimum 5 years) in machine learning engineering or ML Ops roles, with a track record of deploying models in production environments.
• Expertise in Python, including libraries such as scikit-learn, numpy, pandas, and a deep learning framework (e.g., Pytorch, TensorFlow).
• Strong understanding of containerization (Docker, Kubernetes), CI/CD pipelines, and cloud platforms (AWS, GCP, Azure) for deploying ML models.
• Experience with version control systems (e.g., Git), DevOps practices, and infrastructure automation tools (e.g., Terraform, Ansible).
• Knowledge of model monitoring and retraining techniques, as well as data governance and security principles in ML workflows.
• Excellent problem-solving skills and ability to troubleshoot complex issues related to model deployment and performance.
• Leadership skills with the ability to mentor and inspire a team, drive initiatives, and communicate effectively across organizational levels.

Other Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Demonstrated ability to manage multiple projects and stakeholders in a dynamic environment.
• Strong analytical and organizational skills with attention to detail.
• Willingness to stay updated with industry trends and continuously learn new technologies and methodologies.

Additional Information:

• This position offers opportunities for career growth, leadership development, and contributions to cutting-edge AI initiatives.
• Flexible work arrangements may be available based on location and company policies.

Connect: https://www.linkedin.com/in/dreakansh-extrahiring/