AI/ML Architect

We are seeking a highly skilled and experienced AI/ML Senior Consultant or AI/ML Senior Architect to lead our Data Science and AI initiatives. In this pivotal role, you will design and implement cutting-edge AI/ML solutions that drive business value, while overseeing and guiding a team of talented data scientists and engineers. Your strategic vision and technical expertise will be instrumental in shaping our AI/ML roadmap and ensuring its successful execution.

Key Responsibilities:

Architectural Design: Conceptualize, design, and implement scalable, robust, and secure AI/ML architectures that meet complex business requirements, leveraging best practices and industry standards.

Project Management: Lead and oversee the full lifecycle of AI/ML projects, from planning and development to deployment and maintenance, ensuring timely delivery and alignment with business objectives.

Team Leadership: Build, mentor, and inspire a high-performing team of data scientists, ML engineers, and analysts, fostering a collaborative and innovative culture focused on continuous learning and professional growth.

Stakeholder Collaboration: Engage with cross-functional stakeholders, including business leaders, product managers, and subject matter experts, to understand their needs and translate them into actionable technical requirements.

Technology Innovation: Stay abreast of the latest advancements in AI/ML technologies, identifying opportunities for implementation and driving the adoption of cutting-edge solutions to enhance our AI/ML capabilities.

Performance Optimization: Continuously monitor and optimize the performance, scalability, and security of AI/ML models and systems, ensuring efficient resource utilization and adherence to best practices.

Documentation and Reporting: Maintain comprehensive documentation of architectures, processes, models, and best practices. Provide regular updates and presentations to senior management and stakeholders, effectively communicating technical concepts and project progress.

Requirements:

Technical Expertise:

• Proficiency in programming languages such as Python, Good to have C, C++ ,Java.
• Extensive experience with Machine learning frameworks/Deep Learning/ NLP and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Hands- on experience with deep learning frameworks (eg, Ptorch, Tensor flow) as evidenced by released code(e.g., GitHub repositories – Version control awareness)
• Strong domain experience in Finance, BFSI Domain and good to have Regulatory compliance Risk, Credit risk.
• Good to have LLM model and GenAI exposure and experience
• Strong understanding of data modelling, data architecture, and ETL processes.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).

Preferred Qualifications:

• Certifications: Relevant certifications in AI/ML.
• Industry Knowledge: Experience in industries such as Finance, healthcare, retail, or technology.
• Soft Skills: Excellent communication, presentation, and interpersonal skills.

Benefits:

Company Standard Benefits

Requirements:

Machine Learning, NLP, Gen AI, Python, AWS/Azure