Note: The job is a remote job and is open to candidates in USA. GBIT (Global Bridge InfoTech Inc) is seeking a Lead AI/ML Engineer | AI Architect who will play a pivotal role in driving AI-based transformation projects. The position requires collaborating with various teams to design and implement AI/ML solutions that deliver business value, while also mentoring data science and engineering teams throughout the development and integration of AI models.

Responsibilities

• Collaborate with business and technology teams in the identification, design, prototyping and selection of AI/ML solutions needed to deliver business value
• Architect and help build enterprise solutions which include components across the Artificial Intelligence spectrum such as Machine Learning, generative AI, Deep-Learning, Virtual Assistants and Cognitive Services (e.g., Vision/Image, Textual/Language processing)
• Create and articulate future state AI vision via all the relevant architecture & design artifacts. Help validate these proposed future state architectures with hands-on prototypes and MVPs
• Evaluate market solutions and evolving platforms for AI/ML, and assess fitment to client demands, ROI analysis, readiness and develop enterprise recommendations
• Assist in the development of roadmaps for AI & machine learning and other advanced analytics areas (e.g., NLP, NLQ, LLMs, Agentic AI, MCP, A2A, neural networks, computer vision, ML platforms, open-source libraries, event-driven stream processing, data lakes)
• Continuous 'outside-in' scanning, to facilitate continuous learning, hands-on understanding, & adoption of AI Solutions Architecture industry standard methodologies & techniques
• Rapid Proof-of-Concept (PoC) Development: Independently and quickly build functional prototypes and PoCs to test new AI models, algorithms, and approaches to solve specific business problems
• Model Experimentation: Conduct hands-on testing with various machine learning models, including fine-tuning large language models (LLMs), training custom models, and evaluating their performance using appropriate metrics
• Data Exploration and Preparation: Write scripts and use tools to perform data exploration, cleansing, and feature engineering on diverse datasets to prepare them for prototyping and model training
• Technical Validation: Quickly set up and test new tools, APIs, and frameworks to validate their capabilities and suitability for larger-scale implementation
• Architectural Mentorship: Offering support and mentorship to data science and engineering teams throughout the development, deployment, and operationalization of AI models
• System Integration: Design and facilitate the integration of AI/ML models into existing enterprise applications, APIs, and business workflows

Skills

• Minimum bachelor's degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics) AND/OR an MBA preferred)
• Deep knowledge of AI/ML tech across AWS/Azure and GCP
• Understanding of cloud-native services for data storage, compute, networking, and security
• Proven grasp of statistical concepts (e.g., hypothesis testing, probability distributions, regression analysis)
• Experience with data exploration, feature engineering, and data preprocessing techniques
• Technical proficiency, including:
• 5+ years of hands-on AI/ML solution architecture and Hands-on prototyping and experimentation
• 5+ years of AWS/Azure data, Analytics and AI services
• 3+ years hands-on of experience with data science tools and frameworks
• Recent experience in Generative AI, Large Language Models (LLMs), Agentic AI platforms and solutions

Company Overview