Job Description

Job Description:- (Genai)

• AI and Machine Learning – At least 2 years of experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision projects, products, and systems.
• Generative AI – Familiarity with Generative AI models – including LLMs, RAG Approach, communication flow in both approaches,  multimodal usage, open-source models from Hugging face,  Lang chain , Lang Graph frameworks, Vector DB (atleast one DB should be well known in terms of indexing, storing the embeddings, extracting the answers), Prompts, Context based prompts etc. Experience with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion)
• Cloud Platforms: At-least experience of working on one of cloud platforms: AWS Sagemaker, Azure OpenAI, Google Cloud Vertex AI, IBM WatsonX etc.
• Thorough knowledge on the various types of Models, F1 score, accuracy, training the models, tuning of models (with hyperparameters & all other techniques), possible statistical models and their fitment, model deployment, data pre/post processing.  Knowledge should come out of their practical experience from their projects (no theoretical answers) either using cloud native services or open-source s/w.
• HW Platforms: Experience with Intel or Nvidia platforms (CPU+GPU)s.
• Software Engineering – Understanding of agile development practices, requirements, design, architecture, debugging, and validation of software products/projects.
• Programming Experience – Proficiency in Python, C, C++, C#, Java etc.
• Working knowledge of Distributed Systems and Cloud Technologies.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
• Ability to read code and work on a growing codebase.
• Understanding of statistics, linear algebra, and probability theory.
• Strong problem-solving skills and the ability to work both independently and as part of a team