Lead ML Engineer Generative AI Machine Learning

Lead ML Engineer Generative AI & Machine Learning
Teleperformance | Build the Future of AI
Are you passionate about Generative AI, LLMs, and next-generation Machine Learning? Join Teleperformance and work on innovative, enterprise-scale AI solutions that make a real-world impact.
What You’ll Do
Build and deploy production-grade ML & GenAI solutions.
Develop and fine-tune LLMs, RAG, Agentic AI & multimodal models.
Design scalable ML pipelines, MLOps workflows, and model orchestration.
Optimize AI solutions for performance, accuracy, latency, and cost.
Implement model monitoring, observability, and CI/CD.
Collaborate with AI Architects, Data Scientists, Engineers, and Product teams.
Explore emerging AI technologies and lead impactful POCs.
What You Bring
.8+ years of experience in Machine Learning Engineering.
.3+ years in Advanced ML / Generative AI.
.Strong expertise in Python, PyTorch, TensorFlow & Scikit-learn.
.Hands-on experience with LLMs, RAG, Vector Databases & Agentic AI.
.Experience with LangGraph or similar frameworks.
.Knowledge of MLOps, MLflow/Kubeflow/Azure ML/Vertex AI.
.Experience with Docker, Kubernetes, CI/CD & Cloud (Azure/AWS/GCP).
.Proven experience taking AI/ML solutions from POC to Production.
Why Teleperformance?
Work on cutting-edge AI & GenAI projects
Solve complex challenges at enterprise scale
Collaborate with global AI & technology teams
Be part of an environment that encourages innovation and continuous learning
Education
Bachelor’s/Master’s degree in Computer Science, AI/ML, Software Engineering, or a related field.
Ready to Shape the Future of AI?
Bring your expertise. Build what’s next. Grow with Teleperformance.

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