Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems.We are currently seeking
Senior Data Scientist
, to join our AI & Automation Hub team based in
Noida
.
About us:
Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality.Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last.
About the opportunity we offer:
Languages & Frameworks
- Python (core ML/AI language, advanced data structures, async & multiprocessing)
- Deep learning frameworks: PyTorch, TensorFlow, JAX
- HuggingFace Transformers & Diffusers ecosystem
- LLM/agentic frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel
- MLOps: MLflow, Weights & Biases, Kubeflow
- Graph Rag, MCP frameworks
- Working with CUDA libraries and optimization(CuGraph, CuPy)
Generative & Agentic AI
- Retrieval-Augmented Generation (RAG) — standard, graph-based, and vector DB–integrated (FAISS, Pinecone, Weaviate, Milvus)
- Multi-agent orchestration (LangGraph, AutoGen, Semantic Kernal, tool-calling with OpenAI function APIs)
- Fine-tuning diffusion & generative models (Stable Diffusion, Flux.1, ControlNet, DreamBooth)
- LLM fine-tuning (parameter-efficient methods: LoRA, QLoRA, adapters) on models like Llama3, Mistral, CodeLlama, Falcon, Gemma, Azure OpenAI models
- Advanced prompt engineering with context engineering(system prompting, function calling, safety alignment, guardrails)
Machine Learning & Deep Learning
- Classical ML: tree ensembles (XGBoost, LightGBM, CatBoost), linear/logistic regression, clustering (k-means, DBSCAN), dimensionality reduction (PCA, t-SNE, UMAP)
- Deep learning: CNNs (ResNet, EfficientNet), RNNs/LSTMs, GRUs, Transformer architectures (BERT, ViT, GPT)
- Graph ML: Graph Neural Networks (GNNs — GraphSAGE, GAT, PyTorch Geometric, DGL)
- Time Series: forecasting (Prophet, ARIMA, DeepAR, Temporal Fusion Transformer)
- Reinforcement Learning: RLHF, PPO, DQN, policy gradients
Optimization & Deployment
- Model optimization: TensorRT, ONNX Runtime, quantization (INT8, FP16, mixed precision), pruning, distillation
- Scalable deployment: Dockerized microservices, Kubernetes, REST/gRPC APIs, Azure functions.
- Cloud: Azure AI/ML services (App Service, Azure OpenAI, AML)
- Monitoring: Azure Monitor, Prometheus, Grafana, ELK stack for model drift.
About you:
- Master’s or Bachelor’s degree in Computer Science or related field
- 5+ years of experience in AI/ML with demonstrated end-to-end solution delivery
- Must have experience in Generative AI Projects
- Hands-on experience productionizing ML/LLM solutions (from PoC → scalable deployment → monitoring & maintenance)
- Strong foundation in ML/DL theory (optimization, loss functions, architectures)
- Demonstrated applied research/engineering — publications, open-source contributions, or patents are a plus
- Strong analytical, problem-solving, and debugging skills
Your career with us:
Working at Technip Energies is an inspiring journey, filled with groundbreaking projects and dynamic collaborations. Surrounded by diverse and talented individuals, you will feel welcomed, respected, and engaged. Enjoy a safe, caring environment where you can spark new ideas, reimagine the future, and lead change. As your career grows, you will benefit from learning opportunities at T.EN University, such as The Future Ready Program, and from the support of your manager through check-in moments like the Mid-Year Development Review, fostering continuous growth and development
What’s next?
Once receiving your application, our Talent Acquisition professionals will screen and match your profile against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application.We invite you to get to know more about our company by visiting and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates.
