Machine Learning Lead

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.

Qualifications

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