Roles and Responsibilities

Provide technical leadership and drive the overall AI/ML architecture for new and existing projects
Collaborate with clients to understand their AI/ML requirements and propose suitable solutions
Design and implement AI/ML models for various use cases such as Generative AI, RAG, Chatbots, Object Detection, Semantic Searching, Entity Recognition, etc.
Ensure the technical execution of new and existing AI/ML projects, ensuring timely delivery and high quality
Mentor and guide internal resources, fostering their growth and development in the AI/ML domain
Identify and mitigate risks associated with AI/ML architectures and implementations
Ensure adherence to best practices and guidelines in the development process, focusing on performance, security, and scalability
Collaborate with the project management team to plan and execute project deliverables effectively
Be the primary point of contact for technical discussions with clients and provide expert guidance on AI/ML solutions
Actively participate in the hiring and expansion of the AI/ML team
Conduct internal training sessions to upskill team members in AI/ML technologies and techniques
Stay up to date with the latest advancements in the AI/ML field and incorporate them into the company's practices
Contribute to the development of organizational standards for AI/ML development and security
Maintain comprehensive documentation, code comments, and knowledge retention for AI/ML projects
Actively participate in scrum ceremonies and maintain tracking using relevant project management tools
Uphold the organization's values, vision, and mission while fostering a collaborative and innovative work environment.
Skills (Must Have)
Deep understanding of AI/ML concepts, algorithms, and techniques
Extensive experience in developing and deploying AI/ML models for various use cases
Proficiency in programming languages commonly used in AI/ML, such as Python, R, and TensorFlow
Hands-on experience with popular AI/ML frameworks and libraries (e.g., PyTorch, Keras, scikit-learn, etc.)
Familiarity with Natural Language Processing (NLP) techniques and libraries (e.g., NLTK, spaCy, Transformers)
Knowledge of computer vision and image processing techniques (OpenCV, Pillow, scikit image)
Experience with data preprocessing, feature engineering, and model evaluation techniques
Understanding of machine learning pipelines and MLOps practices
Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML offerings (e.g., AWS SageMaker, Azure ML, Google AI Platform)
Comprehensive knowledge of Generative AI techniques and architectures for both textual and visual domains (e.g., Transformer-based models like GPT, BERT, Llama, DALL-E, Stable Diffusion, GANs, VAEs, etc.)
Experience with Large Language Models (LLMs) and their fine-tuning for specific tasks (e.g., GPT, Llama)
Familiarity with pre-training techniques for LLMs (e.g., Masked Language Modeling, Next Sentence Prediction)
Understanding of Vector Databases and their applications in AI/ML (e.g., Faiss, Chroma, Azure Search, Elastic search)
Knowledge of Chatbot development frameworks and platforms (e.g., Rasa, Dialogflow)
Experience with Retrieval-Augmented Generation (RAG) and its implementation using LLMs and Vector Databases
Familiarity with Entity Recognition and Extraction techniques (e.g., Named Entity Recognition, Relation Extraction)
Knowledge of Semantic Search and its implementation using embeddings and similarity measures
Experience with data visualization tools (Matplotlib etc.) for communicating AI/ML insights
Familiarity with experiment tracking and model versioning tools (MLflow, Weights & Biases)
Knowledge of data annotation tools and techniques for creating high-quality training datasets
Understanding of model deployment and serving techniques (e.g., Flask, FastAPI, Cloud deployments)
Familiarity with data privacy and security best practices in AI/ML development
Strong problem-solving skills and the ability to develop innovative solutions to complex AI/ML challenges
Excellent communication and leadership skills to effectively guide and mentor team members
Ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
Experience with agile development methodologies and project management tools (Jira, Asana, etc.)
Familiarity with version control systems (Git) and CI/CD practices
Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Minimum of 5 years of experience in AI/ML development, with at least 2 years in a Leadership Role.

Tech Lead - AI/ML

Vadodara

Software Development

Full Time - Onsite

Job Description