Description
We are seeking an AI/ML Lead Engineer (Python) to lead the technical execution of AI initiatives, including architecture design, roadmap alignment, and delivery oversight. The successful candidate will design, develop, and deploy scalable AI/ML solutions leveraging modern AI technologies, MLOps, and LLMOps best practices.
Key Responsibilities:
- Lead the technical execution of AI initiatives, including architecture design, roadmap alignment, and delivery oversight.
- Design, develop, and deploy scalable AI/ML solutions leveraging modern AI technologies, MLOps, and LLMOps best practices.
- Optimize AI model performance through advanced techniques, including domain adaptation of third-party models and algorithms.
- Build and enhance AI-powered applications, including AI agents and intelligent automation solutions.
- Design and implement monitoring frameworks to track application performance, user behavior, and product insights.
- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
- Stay current with emerging AI, Machine Learning, and Generative AI technologies and drive adoption of relevant innovations.
- Act as a technical thought leader by contributing to architecture discussions, sharing AI expertise, and influencing engineering direction.
- Support continuous improvement of development, deployment, and operational processes for AI systems.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of hands-on experience in Python development.
- 3+ years of hands-on experience in Machine Learning and AI solution development.
- Strong experience in Python, NumPy, Pandas, Matplotlib, FastAPI, Scikit-learn, and TensorFlow/PyTorch, with hands-on expertise in developing AI/ML solutions across Computer Vision, Natural Language Processing (NLP), and Intelligent Document Processing (IDP)/Document Analysis systems.
- Experience building AI Agents and AI-powered applications.
- Knowledge of MLOps tools, frameworks, and deployment workflows.
- Experience with cloud platforms, preferably Microsoft Azure.
- Strong problem-solving, analytical, and communication skills.
- Experience working in Agile development environments.
Preferred Qualifications:
- Exposure to or hands-on experience with .NET and C# technologies.
- Experience with Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG) architectures.
- Familiarity with LLMOps practices and AI model lifecycle management.
- Experience deploying AI solutions in enterprise-scale cloud environments.
- Knowledge of CI/CD pipelines and DevOps practices for AI/ML applications.
- Experience working with products in the Tax, Accounting, Legal, or Financial domains.
- Ability to mentor engineers and drive technical excellence across teams.
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.