Machine Learning Engineer

3 weeks ago

kolkata, India Adani AI Labs Full time

We are seeking a highly skilled DevOps Engineer with 3-8 years of experience in the Artificial Intelligence industry to join our dynamic team in Kolkata. The ideal candidate will have expertise in Data & AI Platform, DataOps, Azure, GCP, Docker, ML Deployment, DevOps, and MLOps. As a DevOps Engineer, you will play a critical role in the development, deployment, and management of AI and machine learning solutions. This is an exciting opportunity to contribute to groundbreaking projects and be part of a collaborative and innovative work environment at Adani.


Experience:

3-8 years of experience in the Artificial Intelligence industry


Roles and Responsibilities:

  • The DevOps Engineer will be responsible for:
  • Designing, implementing, and maintaining Data & AI Platform infrastructure
  • Developing and managing DataOps processes to facilitate seamless data integration and management
  • Deploying and maintaining AI and machine learning models on Azure and GCP cloud platforms
  • Leveraging Docker for containerization and orchestration of AI applications
  • Implementing best practices for ML Deployment and ensuring scalability and reliability
  • Driving DevOps practices to enhance the development and deployment of AI solutions
  • Establishing and optimizing MLOps processes to streamline the machine learning lifecycle


Education Qualification:

Bachelor's degree (B.Tech) or Master's degree (M.Tech) in Computer Science, Engineering, or a related field


Certification Required:

  • Relevant certifications in Azure, GCP, Docker, and DevOps


Behavioural Skills:

  • Strong problem-solving abilities and analytical thinking
  • Excellent communication and collaboration skills
  • Adaptability and a proactive approach to learning new technologies


Technical Skills:

  • Expertise in Data & AI Platform and DataOps
  • Proficiency in Azure and GCP cloud platforms
  • Experience with Docker for containerization
  • In-depth knowledge of ML Deployment and MLOps best practices
  • Skilled in implementing DevOps processes for AI development


Non-Negotiable Skills:

  • Data & AI Platform
  • DataOps
  • ML Deployment

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