04 Aug
|
Tecnoprism
|
India
Required Qualifications & Skills
Technical Skills:
- Programming: Expert proficiency in Python and deep familiarity with asynchronous programming.
- Deep Learning Frameworks: Extensive experience with PyTorch (preferred) or TensorFlow.
- GenAI Stack: Hands-on experience with Hugging Face ecosystem (Transformers, Accelerate, PEFT, Diffusers) and LangChain or LlamaIndex.
- Inference Optimization: Practical knowledge of quantization methods and high-throughput serving frameworks (e.g., vLLM).
- Infrastructure: Proficiency with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) specifically for GPU-accelerated workloads.
- Math & Theory: Strong foundation in linear algebra, probability, and the mathematical mechanics of Transformer architectures
Roles & Responsibilities:
1. Generative AI Development
- Work with various model architectures (Transformer-based, Diffusion models, etc.) to solve complex business problems.
- Evaluate model performance using specialized metrics (Perplexity, BLEU, ROUGE, or custom LLM-as-a-judge frameworks).
2. AI Inference Engineering
- Optimize model architectures for effective deployment, focusing on reducing latency and memory footprint.
- Implement inference optimization techniques including Quantization (GGUF, AWQ, GPTQ), Pruning, and Knowledge Distillation.
- Utilize high-performance inference engines and frameworks such as TensorRT, vLLM, ONNX Runtime, or DeepSpeed-Inference.
- Design scalable serving infrastructures using tools like NVIDIA Triton Inference Server, BentoML, or Ray Serve.
- Optimize GPU utilization and memory management for large-scale model serving.
3. Data & Model Lifecycle
- Curate and preprocess large-scale datasets for pre-training, fine-tuning, and RLHF (Reinforcement Learning from Human Feedback).
- Build automated pipelines for model evaluation and continuous monitoring of production models (detecting drift or hallucinations).
- Collaborate with ML Engineers to integrate models into scalable microservices
📌 Data Scientist - Senior Consultant (India)
🏢 Tecnoprism
📍 India