Revolo InfoTech Hiring for Machine Learning Engineer at Mumbai Full Time

We are seeking a highly skilled ML Ops Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining our ML pipelines, and providing operational support for the production machine learning models. You will work closely with Data Scientists, Machine Learning Engineers, and DevOps teams to ensure the successful deployment and monitoring of ML models.

Responsibilities:

• Develop and implement scalable and efficient machine learning pipelines
• Design and implement production-level machine learning systems in collaboration with data scientists and machine learning engineers
• Monitor and troubleshoot production systems to ensure their reliability and availability
• Design and implement monitoring solutions for machine learning models
• Build, deploy, and manage production machine learning models using containerization and orchestration tools like Docker and Kubernetes
• Work collaboratively with development and DevOps teams to integrate machine learning pipelines into CI/CD processes
• Develop and maintain documentation for ML Ops processes and procedures
• Identify and implement new tools and technologies to improve the efficiency and effectiveness of ML Ops processes

Requirements:

• Bachelor’s or Master’s degree in Computer Science or a related field
• Strong experience in machine learning operations, including pipeline design, model training, model testing, and model deployment
• Proficient in containerization and orchestration tools like Docker and Kubernetes
• Expertise in programming languages such as Python, Java, or C++
• Knowledge of software development methodologies, including Agile and DevOps
• Experience with big data technologies, including Hadoop, Spark, and Kafka
• Experience with cloud computing platforms like AWS, Azure, or GCP
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills

Preferred:

• Experience with MLOps tools such as MLflow, Kubeflow, and AWS SageMaker
• Experience with configuration management tools such as Ansible, Chef, or Puppet
• Familiarity with data warehousing and SQL
• Experience with version control systems such as Git

Job Types: Full-time, Regular / Permanent

Salary: ₹1,500,000.00 – ₹2,400,000.00 per year

Benefits:

• Flexible schedule
• Health insurance
• Paid time off

Schedule:

• Day shift

Supplemental pay types:

• Yearly bonus

Ability to commute/relocate:

• Mumbai Suburban, Maharashtra: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Kubeflow: 2 years (Preferred)
• Python: 2 years (Required)
• Kubernetes: 1 year (Preferred)
• Hadoop: 1 year (Preferred)
• CI/CD processes: 1 year (Preferred)
• AWS: 2 years (Required)
• Machine learning: 2 years (Required)

Speak with the employer
+91 9000000000