- Strong critical thinking and problem-solving skills with the ability to address complex technical and non-technical challenges.
- Ability to influence at all levels of the organization and across multiple domains.
- Ability to lead complex technical and data science discussions and engagements that involve multiple personas including data scientists, data engineers, analysts and developers.
Your day to day
- Design and develop highly scalable and efficient platform that enables data scientists to build, deploy, and monitor machine learning solutions end-to-end.
- Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.
- Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform.
- Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
- Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.
- Explore state-of-the-art deep learning techniques and Partner with data science and domain engineering teams to support the business transformation through AI.
- Develop trusted partnership with business, product, data scientists and architecture leaders to drive optimized platform product delivery
What do you need to bring-
- 2 to 4 years relevant experience
- Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform products.
- Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.
- Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
- Expertise in programming languages such as Python, Go, Java, and proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platforms capabilities.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
- Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.
- Experience with Jupyter Notebook, Kubeflow, Airflow, Argo, GPU and HPC
- Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS
