AI/ML Consultant - Data Modeling Estuate, Inc.

8.0 - 23.0 years

0 Lacs

karnataka

On-site

As an AI/ML Consultant specializing in Generative AI and Machine Learning, you will leverage your 8+ years of experience to lead and deliver AI initiatives in the Healthcare, BFSI, and Manufacturing sectors. Your role will involve collaborating with stakeholders to develop scalable AI solutions that integrate Generative AI techniques like LLMs and transformers with traditional ML approaches such as time series analysis, classification, and deep learning. Your core responsibilities will include: AI/ML Strategy & Delivery: - Leading end-to-end AI/ML projects, from concept to implementation. - Working closely with stakeholders to transform business requirements into effective AI solutions. - Applying a combination of Generative AI and traditional ML methods to address diverse industry challenges. Technical & Platform Expertise: - Designing and implementing GenAI solutions using technologies like LLMs, agentic AI, and LangChain. - Hands-on experience with NLP, RAG, LoRA/PEFT, and prompt engineering. - Proficiency in Python programming and familiarity with TensorFlow, PyTorch, and HuggingFace. - Expertise in working with vector databases such as FAISS, Chroma, and Pinecone. - Implementing MLOps best practices, including CI/CD and ML model lifecycle management with tools like MLflow. Integration & Innovation: - Developing AI-powered applications using frameworks like Streamlit and FastAPI. - Deploying models on cloud platforms like AWS, Azure, and GCP, as well as GPU/TPU accelerators. - Collaborating with engineering and product teams to integrate AI solutions into enterprise systems. Qualifications for this role include: - 8+ years of experience in AI/ML, with at least 2-3 years in client-facing or leadership positions. - Demonstrated expertise in leading complex AI programs and providing guidance to senior executives. - Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields. - Industry certifications in AWS, Azure, GCP, or Databricks would be beneficial. - Knowledge of regulated industries such as Healthcare, Pharma, and BFSI is preferred. In addition to your technical skills, strong communication abilities will be essential for effectively conveying complex technical concepts to non-technical audiences. Stay informed about the latest AI trends, including multimodal models and ethical AI practices, to drive innovation and maintain industry relevance.,

Posted 1 week ago

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Generative AI Engineer ELaunch Solution Pvt. Ltd.

2.0 - 6.0 years

0 Lacs

surat, gujarat

On-site

The primary responsibility of this role is to design, develop, and implement cutting-edge image and video generation systems leveraging deep learning models. You will take the lead in exploring and prototyping diffusion, GAN, and transformer-based architectures for generative tasks. Your expertise will be instrumental in optimizing models for quality, speed, and scalability through accelerated compute technologies such as CUDA and TensorRT. Collaboration with cross-functional teams including Product, Design, and Frontend will be essential to seamlessly integrate AI pipelines into production applications and platforms. Additionally, you will play a key role in contributing to system architecture, ensuring reproducibility, versioning, and model evaluation, while also staying updated on the latest advancements in generative AI to facilitate the transition from research and development to production. To excel in this role, you should possess a minimum of 2 years of hands-on experience in the field of AI/ML with a strong emphasis on generative models. Your track record should include practical experience with video generation models like Sora, Gen-2 by Runway, Synthesia, or custom pipelines. A solid background in image generation using Diffusion Models (e.g., Stable Diffusion, DALLE, Imagen) or GANs (e.g., StyleGAN2/3) is essential. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is required, along with experience in training large-scale models using multi-GPU setups like DDP, DeepSpeed, or Hugging Face Accelerate. A sound understanding of computer vision, image processing, and neural rendering techniques is crucial, as well as practical skills in model fine-tuning and related methodologies like LoRA/PEFT, ControlNet, DreamBooth, and others. Preferred tools and frameworks for this role include Stable Diffusion, DALLE, MidJourney, Sora, Gen-2, VQ-GAN, Pix2Pix, CycleGAN, AnimateDiff, ControlNet, T2I-Adapter, VideoCrafter, Pika Labs, ZeroScope, and ModelScope. Proficiency in FastAPI, Flask, or gRPC for model serving and Streamlit, Gradio, or React for rapid prototyping is advantageous. Experience with cloud platforms such as AWS, GCP, or Azure, particularly with GPU instances, and serving models using TorchServe, NVIDIA Triton, or Vertex AI, will be beneficial in ensuring scalable model deployment. This is a full-time position with a flexible schedule and a day shift from Monday to Friday. The ideal candidate will have a minimum of 2 years of experience in machine learning. The work location is in person, and the expected start date is 01/08/2025.,

Posted 1 month ago

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