Description

· Excellent problem-solving skills and attention to detail.

· Ability to work collaboratively with cross-functional teams.

· Familiarity with version control systems such as Git.

· Collaborate with data scientists to develop and deploy ML models into production environments.

· Ensure the smooth operation of deployed models by monitoring performance and identifying potential issues.

· Implement model serving infrastructure using tools such as TensorFlow Serving or Hugging Face Transformers.

· Work closely with cross-functional teams, including data scientists, software engineers, and DevOps engineers.

· Develop and maintain documentation for ML infrastructure and workflows.

· Present findings and recommendations to stakeholders through clear and effective communication.

· Strong knowledge of ML workflows and infrastructure.

· Should be good at snowflake and DBT

· Excellent problem-solving skills and attention to detail.

· Ability to work collaboratively with cross-functional teams.

· Familiarity with version control systems such as Git.4. Certifications:

· Certification in software engineering, ML, or related field is a plus

Education

Any Graduate