Capgemini is looking for an AI/ML Engineer to help leading organizations unlock the value of technology and build a more sustainable, more inclusive world by delivering end-to-end AI/ML projects.
Requirements
- Programming Languages: Python (Pandas, NumPy, PyTorch, TensorFlow), SQL.
- MLOps Tools: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines.
- GenAI & NLP: Expertise in transformer models (e.g., GPT, BERT), Hugging Face, LangChain.
- Data Engineering: Strong experience with PySpark and distributed data processing.
- Cloud Platforms: Proficiency in AWS, Azure, or GCP.
- 7+ years of hands-on experience in ML/AI solution development and deployment.
- Proven track record of working on at least 3–4 AI/ML projects from concept to production.
Responsibilities
- Design, develop, and deploy scalable ML/AI solutions, including robust MLOps pipelines for CI/CD, model monitoring, and governance.
- Lead the development of LLM and GenAI applications, including text summarization, conversational AI, and entity recognition.
- Build and optimize data pipelines using PySpark and SQL for large-scale data processing and feature engineering.
- Architect and implement production-grade ML systems with a focus on performance, scalability, and reliability.
- Collaborate with cross-functional teams to align AI initiatives with business goals and drive innovation.
- Mentor junior engineers and contribute to team-wide knowledge sharing and best practices.
Other
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- Strong problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
- Eligible Employees, We Offer Flexible work
- Eligible Employees, We Offer Healthcare including dental, vision, mental health, and well-being programs
- Eligible Employees, We Offer Financial well-being programs such as 401(k) and Employee Share Ownership Plan
