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