Machine Learning Lead (Computer Vision)

Summary We are seeking a highly skilled and visionary Machine Learning Lead to lead the design, development, and deployment of cutting-edge AI/ML solutions using Azure Machine Learning , OpenAI APIs , and Generative AI technologies . Key Responsibilities Solution Design and Architecture: • Architect and design end-to-end AI/ML solutions leveraging Azure ML , OpenAI APIs , and other Generative AI technologies. • Develop scalable and secure architectures for AI solutions that integrate with existing enterprise systems and workflows. • Define and implement best practices for model development, training, and deployment pipelines. • Evaluate and select appropriate Generative AI models (e.g., GPT, DALLE) based on business needs, ensuring alignment with use case requirements. Model Development and Deployment: • Collaborate with data scientists, engineers, and business stakeholders to design, develop, and fine-tune machine learning models. • Create and deploy pipelines for model training, evaluation, and monitoring in Azure ML . • Optimize model performance for latency, scalability, and accuracy, ensuring compliance with organizational standards. AI Integration and Innovation: • Integrate Generative AI solutions with enterprise applications, APIs, and data sources. • Leverage OpenAI’s APIs to implement conversational AI, document summarization, image generation, or other innovative use cases. • Explore advancements in AI/ML technologies, recommending tools, frameworks, and practices to enhance the organization’s AI capabilities. Governance and Compliance: • Establish governance frameworks to ensure ethical AI practices, data privacy, and regulatory compliance. • Implement monitoring and logging mechanisms for deployed ML solutions to ensure transparency and reliability. Collaboration and Leadership: • Partner with cross-functional teams, including data engineers, cloud architects, and business analysts, to align AI/ML solutions with business objectives. • Mentor junior team members and provide technical guidance on best practices in AI/ML development and deployment. • Communicate complex AI concepts to non-technical stakeholders, fostering a culture of innovation and understanding. Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector. . Technical Skills: • Min 8+ years of expertise in designing and deploying machine learning solutions on Azure Machine Learning . • Strong programming skills in Python and C++ • Experience with Object Detection model training • Experience with Computer Vision using OpenCV • Experience with synthetic data generation and image augmentation • Experience with Vision Language Models (VLMs) such as CLIP, LLaVA, Florence, Grounding DINO, OWL-ViT, or GPT-based vision models. • Experience with retail shelf analysis, product recognition, or SKU detection. • Knowledge of GPU optimization, CUDA, TensorRT, ONNX Runtime. • Experience deploying models to edge devices, servers, or mobile platforms. • Experience in dataset preparation, annotation and extraction Soft Skills: • Excellent problem-solving and analytical thinking skills. • Strong communication and presentation skills, with the ability to translate technical concepts into business outcomes. • Proven ability to manage multiple stakeholders and prioritize tasks in a fast-paced environment .