Data Engineer

Roles & Responsibilities:
Designing and developing machine learning (ML) models and algorithmsImplementing and maintaining ML pipelines and workflowsCollaborating with data scientists and analysts to deploy and monitor ML modelsDeveloping and implementing ML deployment and monitoring strategiesProviding guidance and mentorship to junior ML engineersTroubleshooting and resolving ML platform issues

Skills Requirements:

• Proficiency in programming languages such as Python, Java, or Scala.
• Understanding of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Knowledge of cloud computing and containerization technologies such as Docker, Kubernetes, or AWS.
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.

• 4-6 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred .