Gen AI Engineer

About the job

Role: Gen AI Engineer (AIA Kolkata) Exp: 3 to 12 years Job Description: • Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. • Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). • Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. • Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. • Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. • Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility • Handle data preprocessing, augmentation, and generation of synthetic data. • Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution). • Develop and Maintain AI Pipelines. • Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. • Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions. • Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. • Ensure the robustness, efficiency, and scalability of AI systems. • Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience · Strong foundation in machine learning, deep learning, and computer science. · Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). · Experience with natural language processing (NLP) and computer vision is a plus. · Ability to work independently and as part of a team. · Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. · Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. · Experience in developing and deploying AI models in production environments. · Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying, managing and scaling AI solutions. · Should be able to bring new ideas and innovative solutions to our clients.

Requirements

• Machine learning
• Python
• NLP
• Cloud services
• Generative AI

Preferred Technologies

• Machine learning
• Python
• NLP
• Cloud services
• Generative AI