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.

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Technical Skills:

• Min 8+ years of expertise in designing and deploying machine learning solutions on Azure Machine Learning.

• Strong experience with OpenAI APIs (e.g., GPT, Codex, DALLE) and integrating Generative AI into business workflows.

• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn.

• Hands-on experience with MLOps practices, including CI/CD pipelines for ML, model versioning, and deployment automation.

• Knowledge of Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Cognitive Services) and their integration with ML workflows.

Architecture and Design:

• Strong understanding of microservices architecture, API development, and cloud-native solution design.

• Experience with big data technologies (e.g., Spark, Databricks) and their application in ML workflows.

• Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.

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

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