Senior Machine Learning Engineer

About Client :-

Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.

The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organisations accelerate their transition to a digital and sustainable world.

They provide a variety of services, including consulting, technology, professional, and outsourcing services.

Job Details:-

location : Hyderabad

Mode Of Work : Hybrid

Notice Period : Immediate Joiners

Experience : 10-15 yrs

Type Of Hire : Contract to Hire

JOB DESCRIPTION:

Core Focus: Python-first ML engineering with strong InfrastructureasCode (Terraform) and production deployment experience on GCP.

Key Responsibilities & Skills

Python & ML Engineering

Expertlevel Python with strong OOP and functional programming skills

Handson experience building, testing, and optimizing productiongrade ML code

Proficiency with ML/DL libraries: TensorFlow, PyTorch, scikitlearn, pandas, NumPy, PySpark

Strong understanding of endtoend model lifecycle: training, versioning, deployment, and monitoring

Infrastructure as Code & Automation

Strong handson experience with Terraform for provisioning and managing GCP infrastructure

Automating ML platforms, pipelines, and environments using IaC

Experience with Docker for containerized ML workloads

Familiarity with Kubernetes (GKE) is a plus

Cloud & ML Platforms (GCP)

Experience using Vertex AI for model training, deployment, and lifecycle management

Working knowledge of GCP services such as BigQuery, Cloud Storage, Cloud Run, Pub/Sub, Dataproc, and Dataflow

Solid understanding of GCP IAM and VPC concepts

MLOps & CI/CD

Building and maintaining ML pipelines using Vertex AI Pipelines, Airflow, or similar tools

CI/CD experience using GitHub, Jenkins, and/or GCP Cloud Build

Monitoring and observability for deployed ML models

API Development & System Design

Designing and building RESTful APIs using FastAPI or Flask for realtime inference

Integrating ML models into scalable, faulttolerant services

Experience with microservices, distributed systems, and asynchronous processing