Lead Data Engineer(GenAI)
1 month ago
Exciting Opportunity for Generative AI Leader at Wipro.
Position- Lead/Architect Data Engineer
Experience- 6 Years to 12 Years
Location- Kolkata, Pune, Bengaluru
Candidate Requirement (JD)
- Minimum 6+ years of experience with designing and implementing AI/ML model, out of which minimum 2+ years on implementing GenAI based solutions.
- Strong implementation expertise around foundation models like computer vision models (ResNet, EfficientNet, YOLO) and Generative Model Transformers (GANs, VAEs) to augment the intelligence of low latency predictive algorithms.
- Experience in development and deployment of Models in battery powered Compute Devices having GPUs/TPUs/NPUs accelerators for offline inferencing.
- Experience with deploying and fine tuning Large Multi-modal models with capability of audio synthesis, generative image and video.
- Conversant with Quantization, Speculative Decoding, Kernel Fusion, CoT, RAG, PeFT.
- Conversant with model evaluation techniques and benchmarks.
- Conversant with design, develop, and optimize data pipelines for ingesting, processing, and transforming large-scale data from various sources (structured and unstructured).
- Create and maintain data models that align with ML requirements.
- Deploy ML models (Computer Vision, NLP) into production systems and operationalize MLOps.
- Knowledge of ML frameworks (TensorFlow, PyTorch, OpenCV) and familiarity with deep learning concepts is a must.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Strong proficiency in Python, SQL, and ETL tools (e.g., Apache Spark, Airflow).
Mandatory Skill: Device side GenAI implementation. Experience with quantizing inference model (LLM/LMM) and deploying on devices with limited compute and memory. Preferably worked on deploying and running ML/LMM models on NVIDIA, QUALCOMM chipsets, etc.
Good to have skill : Conversant with Quantization, Speculative Decoding, Kernel Fusion.
GGUF, LoRA, PeFT, Knowledge Distillation.
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