AVP-AI/ML Technologies

Associate Vice President (AVP) - AI/ML Technologies

Hyderabad (Corporate Office)

Job Summary:

The AVP will be responsible for driving the strategic vision, development, and implementation of AI/ML and Generative AI technologies within our platform. This role requires a deep understanding of AI/ML, experience with banking projects is preferred with a proven track record of leading technical teams.

Key Responsibilities:



Leadership and Strategy:

• Define and drive the AI/ML and GenAI strategy in alignment with the company's overall vision and business goals.
• Lead and mentor a team of AI/ML engineers and data scientists, fostering a culture of innovation and excellence.
• Collaborate with cross-functional teams to integrate AI/ML and GenAI capabilities into our LCNC and Pro Code platform.

Technical Expertise:

• Oversee the design, development, and deployment of AI/ML models and GenAI technologies to solve complex business problems.
• Ensure the scalability, reliability, and performance of AI/ML solutions.
• Stay abreast of the latest advancements in AI/ML and GenAI technologies and evaluate their potential impact on our platform.

Project Management:

• Manage multiple AI/ML projects simultaneously, ensuring they are delivered on time, within scope, and within budget.
• Develop and maintain project plans, track progress, and report on project status to senior management.

Stakeholder Engagement:

• Work closely with internal stakeholders, including product management, engineering, and business development teams, to understand their needs and provide AI/ML solutions.
• Engage with external stakeholders, such as clients and partners, to demonstrate the value of our AI/ML capabilities.

Compliance and Risk Management:

• Ensure that all AI/ML initiatives comply with relevant regulations and industry standards.
• Identify and mitigate risks associated with AI/ML implementations.

Qualification & Experience:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Ph.D. is a plus.
• 10 to 15 years of experience in AI/ML technologies, with a significant portion spent in the banking or financial services industry.

Required Skills:

• Proven leadership experience, including leading technical teams and managing complex projects.
• Strong expertise in machine learning algorithms, data analysis, natural language processing, and generative AI technologies.
• Hands-on experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Keras, and others.
• Proficient in programming languages such as Python, R, and SQL.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with MLOps practices and tools for model deployment, monitoring, and maintenance.
• Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for AI/ML workloads.
• Understanding of ethical AI principles and data privacy regulations.
• Excellent problem-solving skills and the ability to think strategically and analytically.
• Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

Preferred Skills:

• Experience with Low-Code/No-Code platforms.
• Knowledge of banking regulations and compliance requirements.
• Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI).

Who are we?

Pennant Technologie

Pennant

Why work for Pennant Technologies?

Pennant,

Every demo, every proposal, every conversation is an opportunity to transform the way financial institutions lend. Ready to make a difference?