Senior machine learning operations engineer (Solapur)

Senior machine learning operations engineer (Solapur)

17 Aug
|
BRIGHTLY SOFTWARE
|
Solapur

17 Aug

BRIGHTLY SOFTWARE

Solapur

Location: India
Employment Type: Full‑time
About Brightly Software
Brightly Software is a leader in intelligent asset management and operational optimization, empowering organizations with data‑driven insights. As we expand our AI and ML capabilities, we are seeking a Senior MLOps Engineer to build and scale the infrastructure that powers our next generation of predictive and autonomous solutions.
Role Overview
As a Senior MLOps Engineer , you will architect, develop, and operate end‑to‑end machine learning infrastructure on AWS. You will work at the intersection of ML engineering, cloud infrastructure, and developer productivity—enabling Brightly's data science teams to move seamlessly from experimentation to reliable, secure, and cost‑efficient production systems.
Your work will ensure that ML models and data pipelines are scalable , observable , and compliant with best‑in‑class MLOps practices.
Key Responsibilities
ML Platform & Infrastructure (AWS‑focused)
Design, build, and operate ML/AI development platforms on AWS, leveraging services such as Amazon Sage Maker (Studio,



Training, Real‑Time & Async Inference, Pipelines, Feature Store) , S3 , Glue , Lambda , ECS/EKS , and related cloud infrastructure.
Implement infrastructure‑as‑code using Terraform or equivalent, and manage workflow orchestration using AWS Step Functions or Airflow.
Data & Model Pipelines
Build automated data ingestion and transformation pipelines using S3, Glue, EMR/Spark, and Redshift , incorporating data quality and lineage tooling (e.g., Great Expectations, Deequ ).
CI/CD for Machine Learning
Develop CI/CD pipelines for ML with Code Build, Code Pipeline, or Git Hub Actions , integrating unit tests, data contract checks, model validation, canary/shadow deployments, and automated rollback strategies.
Model Deployment & Operations
Deploy real‑time inference endpoints (Sage Maker endpoints or Quick API‑based services on Lambda/ECS/EKS) and scalable batch processing jobs.
Define SLOs, implement

📌 Senior machine learning operations engineer (Solapur)
🏢 BRIGHTLY SOFTWARE
📍 Solapur

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