Sr Machine Learning Engineer · Bengaluru

Key Responsibilities of the role

• Lead the deployment of ML solutions on the enterprise infrastructure,in line with ML engineering standards and best practices(version control, testing, deployment, maintenance)

• Manage the entire lifecycle of data science/machine learning models, including monitoring, data gathering for retraining, and updates

• Implement ML engineering best practices, such as coding standards, code reviews, and automated testing

• Define and implement metrics to evaluate the functional performance and computational resource efficiency of ML and AI components

• Can coordinate and manage competing priorities across a portfolio of projects

• Ability to influence across organisations, proven collaboration skills, comfortable working with ambiguity, collaborate with cross-functional teams, including data scientists, data engineers, and business stakeholders

• People and Team management Contribute to a highly collaborative team with a culture of ownership, initiative and responsibility

• Contribute to the development of our Team s ML engineering standards of reusable DS, ML, and AI assets

• Motivate, coach, mentor colleagues within the ML Engineering Team to develop technical excellence

• Manage a team of up to 3 Machine Learning Engineers

Necessary Qualifications & Skills

• BSc, MSc or PhD degree in mathematics, computer science, or another scientific discipline that provides solid foundations on relevant aspects of Data Science

• 5-10 years of industry experience with proven experience implementing machine learning engineering pipelines on large datasets

• Strong understanding of ML engineering best practices

• Strong collaboration skills and comfortable working with ambiguity, making quick, informed decisions considering trade-offs

• Experience with deploying machine learning solutions on enterprise infrastructure

• Strong programming skills in Python or similar programming languages

• Ability to manage competing priorities across a portfolio of projects

• Highly desirable Qualifications & Skills Strong experience with cloud-based infrastructure and distributed computing systems, such as Azure, AWS, or GCP

• Experience with containerization and orchestration tools, such as Docker and Kubernetes

• Understanding of software engineering principles, such as modular design,clean code, and testing

• Familiarity with DevOps practices and tools, such as continuous integration and deployment (CI/CD) pipelines and configuration management tools like Ansible or Terraform

• Excellent problem-solving skills and the ability to debug complex issues in production environments

• Strong communication skills and the ability to collaborate with cross
  functional teams

• Familiarity with monitoring and logging tools, such as Grafana, Prometheus, and ELK Stack