One of our clients, is seeking a Software Product Manager to provide solutions through their ML/AI team. In this role, you will oversee all aspects of the AI/ML lifecycle, from feature strategy to productization and operation. Acting as the primary product expert for the stakeholders, you will guide the development of our core AI/ML capabilities and enhance engineering processes to scale ML products.
Responsibilities
- Architect, design, and oversee the implementation of Machine Learning systems with a strong focus on data pipelines, training/inferencing MLOps, and service/model performance tracking.
- Artificial Intelligence Research: Stay updated with the latest advancements in AI, particularly generative AI; identify suitable technologies and models for use cases, apply rigorous experimentation practices, and drive continuous ML feature upgrades.
- ML Evaluation and Improvement: Establish a consistent approach for model evaluation with an emphasis on business impact, enforce appropriate model training and evaluation practices with relevant metrics to justify business value.
- POC Management and Facilitation: Collaborate closely with stakeholders to design and develop POC AI solutions, demonstrating and justifying their impact.
- ML Operations and Scaling: Assess business needs to design and implement suitable ML training and inferencing pipelines and frameworks, promote best practices for ML engineering in training and model optimization, and design mechanisms for evaluating and tracking model performance.
- Technical Leadership and Oversight: Provide technical guidance to engineers, ensuring high-quality technical delivery and continuous growth.
Requirements:
- Bachelors/MS/PhD in Engineering/Mathematics, Proven experience as a Principal, Technical Lead, or Engineering
- High proficiency in Python, Databricks, Azure and extensive hands-on experience with DL frameworks such as TensorFlow and PyTorch.
- Minimum 8 years’ experience, including 5 years in AI/ML and (specializing in DL/NLP).
- Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP, with expertise in cloud computing and database systems and a strong focus on scalable data pipelines]
- Experience in working with stakeholders as Product Manager to align long-term AI capabilities and solutions with both business and technical requirements.
- Strong communication skills.
- Not afraid to get your hands dirty and learn through experimentation when faced with fresh challenges.
- Expertise in MLOps practices, including continuous training, model deployment, and monitoring.
