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, Large Language Models, and cutting-edge Machine Learning technologies ?

Teleperformance is looking for a Lead ML Engineer to join our AI engineering team and help build the next generation of enterprise-scale AI solutions .

This is a hands-on senior individual contributor role where you will design, develop, deploy, and optimize advanced ML and GenAI systems that create real business impact.

💡 What You'll Do

🤖 Build Next-Generation AI Solutions

• Design and develop scalable Machine Learning and Generative AI solutions .
• Build and fine-tune LLMs, multimodal models, RAG, and Agentic AI solutions .
• Develop intelligent AI pipelines, model orchestration, and retraining workflows.
• Work with frameworks such as LangGraph and other modern AI technologies.

⚙️ Engineer for Scale & Performance

• Deploy production-grade AI/ML solutions using MLOps, CI/CD, and cloud-native technologies .
• Optimize models for accuracy, latency, scalability, and cost .
• Implement model monitoring, observability, drift detection, and experimentation frameworks.
• Apply techniques such as quantization, caching, and data optimization to improve inference performance.

🤝 Collaborate & Innovate

• Work closely with AI Architects, Data Scientists, Data Engineers, Software Engineers, QA, and Product teams .
• Convert complex business requirements into scalable AI solutions.
• Participate in architecture and technical design discussions.
• Lead Proofs of Concept (POCs) for emerging AI technologies.

🔬 Stay Ahead of AI Innovation

• Explore the latest developments in LLMs, GenAI, Agentic AI, MLOps, and AI infrastructure .
• Evaluate emerging frameworks and open-source technologies.
• Contribute to the continuous evolution of Teleperformance's AI capabilities.

🎯 What We're Looking For

Experience

• 8+ years of experience in Machine Learning Engineering.
• 3+ years of experience in advanced ML / Generative AI system design.
• Proven experience deploying AI/ML models into enterprise production environments .
• Hands-on experience with LLM fine-tuning and model evaluation .
• Experience with RLHF is a plus.

🛠️ Must-Have Technical Skills

Programming & ML

• Python
• PyTorch
• TensorFlow
• Scikit-learn

Generative AI

• LLMs
• RAG
• Vector Databases
• Agentic AI
• LangGraph or similar frameworks
• LLM Fine-tuning & Evaluation

MLOps & Cloud

• MLflow / Kubeflow / Vertex AI / Azure ML
• Docker & Kubernetes
• CI/CD
• API Development
• Azure / AWS / GCP

AI Governance

• Model Observability
• Responsible AI
• Data Governance
• Model Monitoring & Drift Detection

🌟 What Makes You Stand Out?

We'd love to meet you if you are someone who:

✨ Thinks beyond traditional Machine Learning

✨ Enjoys building AI systems that work at scale

✨ Has strong hands-on GenAI/LLM experience

✨ Can take an AI solution from POC → Production

✨ Loves solving complex technical challenges

✨ Keeps learning and experimenting with emerging AI technologies

✨ Can collaborate effectively with global, cross-functional teams

🎓 Education

Bachelor's or Master's degree in:

• Computer Science
• Software Engineering
• Artificial Intelligence
• Machine Learning
• or a related technical field

🌍 Why Join Teleperformance?

At Teleperformance , you'll get the opportunity to work on enterprise-scale AI and Generative AI initiatives , collaborate with talented technology professionals, and contribute to innovative solutions shaping the future of customer experience and business transformation.

🚀 If you're ready to build what comes next in AI, we'd love to hear from you!

Join Teleperformance. Build. Innovate. Transform with AI.

Interested candidate share your [email protected]

Contact No-8009942815