LEAD ENGINEER - Machine Learning

Happiest Minds Technologies; Maharashtra; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Happiest Minds Technologies in Maharashtra seeks an experienced MLOps Engineer to design, implement, and maintain production-ready pipelines for deploying machine learning models.

You will collaborate with data scientists to translate model requirements into scalable solutions, monitor performance in production, enforce CI/CD practices, ensure data governance, and document workflows. This role requires strong Python/R skills and cloud experience.

Qualifications

• Solid understanding of ML concepts and algorithms.
• Experience with MLOps tools and frameworks.
• Proficiency in Python and R.
• Familiarity with cloud ML services (AWS/Azure/GCP).
• Experience with CI/CD for ML projects.
• Knowledge of data preprocessing, feature engineering, and model evaluation.

Responsibilities

• Design, implement, and maintain MLOps pipelines for deploying machine learning models.
• Collaborate with data scientists to translate model requirements into production-ready solutions.
• Monitor and optimize the performance of machine learning models in production.
• Develop and maintain documentation for MLOps processes and workflows.
• Implement CI/CD practices for machine learning projects.
• Ensure compliance with data governance and security policies.
• Provide technical support and troubleshooting for deployed models.
• Stay updated with the latest trends and technologies in MLOps and machine learning.

Skills

ML concepts

MLOps

Python

R

Cloud platforms (AWS/Azure/GCP)

CI/CD processes

Data preprocessing & feature-engineer

Model evaluation techniques

Tools

MLflow

Kubeflow

TFX

Docker

Kubernetes

Jenkins

GitLab CI

Job description

• Design, implement, and maintain MLOps pipelines for deploying machine learning models.
• Collaborate with data scientists to understand model requirements and translate them into production-ready solutions.
• Monitor and optimize the performance of machine learning models in production.
• Develop and maintain documentation for MLOps processes and workflows.
• Implement CI/CD practices for machine learning projects.
• Ensure compliance with data governance and security policies.
• Provide technical support and troubleshooting for deployed models.
• Stay updated with the latest trends and technologies in MLOps and machine learning.

Mandatory Skills:

• Strong knowledge of machine learning concepts and algorithms.
• Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, TFX).
• Proficiency in programming languages such as Python and R.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their ML services.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Strong understanding of CI/CD processes and tools (e.g., Jenkins, GitLab CI).
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.

Preferred Skills:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of DevOps practices and tools.
• Experience in working with cross-functional teams in an Agile environment.