Staff Engr - Data Science

Key Responsibilities:

• Design, develop, test and deploy AI solutions using Azure AI services to meet business requirements , working collaboratively with architects and other engineers.
• Train, fine-tune, and evaluate AI models, including large language models (LLMs), ensuring they meet performance criteria and integrate seamlessly into new or existing solutions.
• Develop and integrate APIs to enable smooth interaction between AI models and other applications, facilitating efficient model serving.
• Collaborate effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to deliver comprehensive AI solutions.
• Optimize AI and ML model performance through techniques such as hyperparameter tuning and model compression to enhance efficiency and effectiveness.
• Monitor and maintain AI systems, providing technical support and troubleshooting to ensure continuous operation and reliability.
• Create comprehensive documentation for AI solutions, including design documents, user guides, and operational procedures, to support development and maintenance.
• Stay updated with the latest advancements in AI, machine learning, and cloud technologies, demonstrating a commitment to continuous learning and improvement.
• Design, code, deploy, and support software components, working collaboratively with AI architects and engineers to build impactful systems and services.
• Lead medium complex initiatives, prioritizing and assigning tasks, providing guidance, and resolving issues to ensure successful project delivery.

Minimum Qualifications

• Bachelors degree in computer science, engineering, or related field
• 8 + years of experience in data /software engineering, design, implementation and architecture.
• At least 5+ years of hands-on experience in developing AI/ML solutions, with a focus on deploying them in a cloud environment .
• Deep understanding of AI and ML algorithms with focus on Operations Research / Optimization knowledge ( preferably M etaheuristics / Genetic Algorithms) .
• Strong programming skills in Python with advanced OOPS concepts.
• Good understanding of structured, semi structured, and unstructured data, Data modelling, Data analysis, ETL and ELT .
• Proficiency with Databricks & PySpark .
• Experience with MLOps practices including CI/CD for machine learning models.
• Knowledge of security best practices for deploying AI solutions, including data encryption and access control.
• Knowledge of ethical considerations in AI, including bias detection and mitigation strategies.
• This role operates in an Agile/Scrum environment and requires a solid understanding of the full software lifecycle, including functional requirement gathering, design and development, testing of software applications, and documenting requirements and technical specifications.
• Fully Owns Epics with decreasing guidance. Takes initiative through identifying gaps and opportunities.
• Strong communication and influence skills. Solid team leadership with mentorship skills
• Ability to understand the work environment and competing priorities in conjunction with developing/meeting project goals .
• Shows a positive, open-minded, and can-do attitude .

Experience in the following technologies:

• Advanced Python programming ( OOPS)
• Operations Research / Optimization knowledge ( preferably M etaheuristics / Genetic Algorithms)
• Databricks with Pyspark
• Azure / Cloud knowledge
• Github / version control
• Functional knowledge on Supply Chain / Logistics is preferred.