MLOPS Senior Lead Engineer

Guardian Life; India; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Guardian Life seeks a senior MLOps Lead Engineer with 8+ years of experience in CS/DS. You will build and maintain robust data pipelines, design scalable ML workflows, and drive CI/CD for data/ML products. Strong Python, SQL, PySpark, and Databricks experience required.

Location options include Chennai or Gurgaon, with on-site collaboration across cross-functional teams. You will mentor engineers and influence architecture and data quality across the organization.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or related field.
• 8+ years of experience in CS/DS/engineering domains.
• 3+ years building data pipelines for data scientists to train ML models.
• 2+ years of hands-on Databricks data engineering.

Responsibilities

• Develop and maintain data pipelines for structured and unstructured data to support ML models.
• Collaborate with data scientists and cross-functional teams to enable model training and scoring via robust pipelines.
• Implement and optimize ML lifecycle processes, ETL techniques, and data quality controls.

Skills

Python

SQL

PySpark

Bash scripting

Data pipelines

Cloud Data Warehousing

Databricks

Delta Lake

Databricks CLI

Databricks Workflow

REST APIs

Flask

FastAPI

Docker

Kubernetes

CI/CD

Airflow

GitHub

Bitbucket

Communication

Education

Bachelor's degree

Master's degree

Tools

Jenkins

Job description

Job Description: MLOPS Senior Lead Engineer

Bachelor’s or master’s degree with 8+ years of experience in Computer Science, Data Science, Engineering, or a related field. 4+ years of experience in working with Python, SQL, PySpark and bash scripts. Proficient in software development lifecycle and software engineering practices. 3+ years of experience in developing and maintaining robust data pipelines for both structured and unstructured data to be used by Data Scientists to build ML Models. 3+ years of experience working with Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL or equivalent) platforms and experience in working with distributed frameworks like Spark. 2+ years of hands-on experience in using Databricks platform for data engineering. Detailed knowledge of Delta Lake, Databricks Workflow, Job Clusters, Databricks CLI, Databricks Workspace etc. Solid understanding of machine learning life cycle, data mining, and ETL techniques. Familiarity with commonly used machine learning libraries (like scikit-learn, xgboost) in terms of exposure and handling of code base which makes use of these libraries for model training & scoring. Proficiency in understanding of REST APIs, experience in using different types of APIs to either extract data or perform a functionality exposed by APIs. Familiarity in Pythonic API development frameworks like Flask / FastAPI. Experience in using containerization frameworks like Docker / Kubernetes. Hands-on experience in building and maintaining tools and libraries which have been used by multiple teams across organization. e.g. Creating Data Engineering common utility libraries, DQ Libraries etc. Proficient in understanding and incorporating software engineering principles in design & development process. Hands on experience with using CI/CD tools (e.g., Jenkins or equivalent), version control (Github, Bitbucket), Orchestration (Airflow, Prefect or equivalent) Excellent communication skills and ability to work and collaborate with cross functional teams across technology and business

Location: This position can be based in any of the following locations: Chennai, Gurgaon

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well‑being — mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com.

Visa Sponsorship: Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future.