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Job Title : MLOps Engineer

Mode: Hybrid

Experience : 4 to 7 Years

Location : Hyderabad (Priority)/Bengaluru locations only

Notice Period : Immediate Joiner

Job Summary

We are looking for a skilled and proactive ML Engineer with strong expertise in Python, Databricks, and Machine Learning model development. The ideal candidate should be proficient in building scalable data pipelines and deploying ML models, with a working knowledge of MLOps principles and tooling. This role offers an opportunity to work on impactful AI/ML initiatives in a collaborative environment.

Key Responsibilities

• Develop and maintain machine learning pipelines for training, testing, and deploying models
• Design and implement infrastructure for managing and monitoring machine learning models
• Work with data scientists to build scalable, efficient, and automated model training and testing processes
• Collaborate with software engineers to integrate machine learning models into production systems
• Automate and optimize the deployment and scaling of machine learning models in a distributed computing environment
• Monitor and troubleshoot machine learning systems and infrastructure to ensure high availability and performance
• Develop and maintain documentation and best practices for MLOps processes and procedures.
  
  

Experience

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field

• 3+ years of experience in MLOps or related field, including building and deploying machine learning models at scale
• Proficiency in programming languages such as Python, Java, and C++
• Experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras
• Experience with containerization technologies such as Docker and Kubernetes
• Strong understanding of DevOps principles and practices
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud
  
  

Skills:- MLOps, Python, DevOps, Docker, Amazon Web Services (AWS), Windows Azure, Microsoft Windows Azure, Google Cloud Platform (GCP), TensorFlow, PyTorch, Kubernetes and Java

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