MLOps / ML Platform Engineer

Spearsoftech; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Work from office in Hyderabad

Job summary

Spearsoft in Hyderabad seeks an experienced MLOps/ML Platform Engineer to own and scale end-to-end ML infrastructure, building production pipelines, registries, CI/CD workflows, and observability across AI initiatives.

You will collaborate with Data Science and Data Engineering teams to standardize handoffs, ensure scalable delivery, and implement drift detection and automated cloud deployments for robust enterprise solutions.

Qualifications

• 3+ years of hands-on MLOps/ML Platform Engineering or DevOps for AI/ML.
• Strong Python and container tech (Docker, Kubernetes).
• Experience building CI/CD pipelines for ML models (GitHub Actions, GitLab CI).
• Hands-on with Model Registries (MLflow, Vertex AI, Azure ML) and feature stores.
• Proven background with model monitoring and cloud infrastructure as code (Terraform).

Responsibilities

• Own ML platform and automated pipelines for training, deployment, monitoring, and retraining across models and teams.
• Build and maintain CI/CD for ML, model registry, versioning, and containerized environments.
• Implement observability: drift detection, latency monitoring, alerting, auditability.
• Collaborate with Data Science/Engineering to ensure scalable, governed delivery.
• Troubleshoot for high availability, cost and performance tuning.

Skills

Python

Docker

Kubernetes

CI/CD for ML

Model registries

Terraform

Education

Bachelor’s or Master’s in CS/DS/SE

Tools

MLflow

Vertex AI

Azure ML

Kubeflow

KServe

Terraform (IaC)

Job description

AI & MLOps Infrastructure Featured Opportunity Work from office

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Role Overview

We are seeking an experienced MLOps / ML Platform Engineer to own and scale our end-to-end machine learning infrastructure. You will design, build, and maintain production ML pipelines, model registries, automated CI/CD workflows, and real-time observability across diverse AI initiatives.

Key Summary: Own and optimize the ML platform/pipelines for model training, deployment, continuous monitoring, and automated retraining across multiple teams. Implement robust controls, drift detection, and automated cloud deployments.

Key Responsibilities

• Own the ML platform and automated pipelines for model training, deployment, monitoring, and retraining across multiple models and teams.
• Build and maintain CI/CD pipelines for ML, model registry, automated versioning, and standardized containerized environments (Docker, Kubernetes, IaC).
• Implement deep observability and controls: drift detection, latency/performance monitoring, automated alerting, and full auditability.
• Partner tightly with Data Science and Data Engineering teams to standardize handoffs and ensure scalable, governed enterprise delivery.
• Apply a senior-level troubleshooting mindset: high availability, cost and performance tuning, and rapid incident resolution.

Mandatory Skills & Qualifications

• 3+ years of hands-on experience in MLOps, ML Platform Engineering, or DevOps for AI/ML.
• Strong expertise in Python and container technologies (Docker, Kubernetes).
• Experience building CI/CD pipelines for ML models (GitHub Actions, GitLab CI, or cloud-native CI/CD).
• Hands-on experience with Model Registries (MLflow, Vertex AI, or Azure ML) and feature stores.
• Proven background with model monitoring, data/concept drift detection, and cloud infrastructure as code (Terraform).

Desired Skills & Bonus Attributes

• Experience with Databricks, Mosaic AI, or cloud GPU infrastructure optimization.
• Knowledge of Kubernetes operators (Kubeflow, KServe, or Ray).
• Experience with cloud security, compliance, and enterprise access control.

MLOps Pipelines CI/CD for ML Model Registry Drift Detection Docker / K8s MLflow IaC / Cloud Python

Education & Work Schedule

Education Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or related discipline.

Standard Business Hours (Hyderabad Office - Work from office)

Why Build Your Career at Spearsoft?

At Spearsoft, you work on modern AI solutions, autonomous multi-agent systems, and digital assurance platforms that directly impact enterprise operations globally. We foster a culture of rapid innovation, deep engineering ownership, and continuous skill acceleration.