Role:
We are seeking a Software Development Manager for our ML/AI/Devops team. In this role, you will oversee all aspects of the AI/ML lifecycle. You will guide the development of our core AI/ML capabilities and enhance engineering processes to scale ML products. Guiding a team of software engineers, you will foster a culture that balances AI innovation with ML productization.
Responsibilities:
- Architect, design, and oversee the implementation of ML systems with a strong focus on data pipelines, training/inferencing MLOps, and service/model performance tracking.
- 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.
- 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.
- 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 in 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]
- 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.
If you are keen on the role, kindly send me your resume in MS Word format, with details like current, expected salary, notice period etc to [Confidential Information]
