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AI Summary
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
Machine Learning Engineer
Location :- Chennai
Experience :- 4+ Years
Choosing Capgemini means choosing a place where you’ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what’s possible. Join us in helping organizations leverage Machine Learning and AI technologies to drive innovation, operational efficiency, and data-driven decision-making.
Your Role
As a Machine Learning Engineer, you will be responsible for developing, deploying, and maintaining predictive and optimization models that solve complex business challenges. You will work closely with data scientists, software engineers, and business stakeholders to build scalable ML solutions and bring them into production.
In this role, you will:
- Develop predictive and optimization machine learning models for business applications.
- Design, build, and maintain feature engineering and data processing pipelines.
- Deploy, monitor, and optimize machine learning models in production environments.
- Create and manage inference pipelines to serve machine learning predictions efficiently.
- Utilize MLflow for experiment tracking, model versioning, and lifecycle management.
- Integrate machine learning systems with enterprise applications and workflows.
- Collaborate with cross-functional teams to ensure scalable and reliable ML solutions.
- Follow MLOps best practices to improve model performance, reliability, and maintainability.
Your Profile
- 4+ years of experience in Machine Learning Engineering, Data Science, or related roles.
- Strong hands-on experience with production-grade machine learning deployments.
- Experience using MLflow for model management and experiment tracking.
- Expertise in developing time-series forecasting and predictive models.
- Strong understanding of feature engineering and inference pipeline development.
- Proficiency in building scalable machine learning solutions and integrating them into business applications.
- Excellent problem-solving, analytical, and communication skills.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Must-Have Skills
- Python
- TensorFlow
- MLflow
- Model Deployment
- Machine Learning Model Development
- Feature Engineering
- Inference Pipelines
- Time-Series Modeling
Nice-to-Have Skills
- OR-Tools
- SimPy
- Forecasting
- Optimization Techniques
- MLOps Practices
- Docker / Kubernetes
- Cloud Platforms (AWS, Azure, or GCP)
What You’ll Love About Working Here
We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance.
Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence.
You’ll have access to continuous learning opportunities and certifications in emerging technologies such as AI, Machine Learning, Cloud, and Data Engineering.
About Us
Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital transformation journeys and unlock the value of data and AI-driven innovation.
Job Description - Grade Specific
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
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