· 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
Any Graduate