The company is looking to drive the development and implementation of cutting-edge machine learning solutions to solve real-world problems, drive business growth, and create value.
Requirements
- Advanced proficiency with Python, Java, and Scala.
- Strong computer science fundamentals such as algorithms, data structures, multithreading.
- Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG.
- Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch
- In-depth experience building solutions using public clouds such as AWS, GCP.
- Experience using ML platforms like SageMaker, H2O, DataRobot, etc.
- Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc.
Responsibilities
- Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams.
- Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.
- Partner with data scientists to understand, implement, train, and design machine learning models.
- Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform.
- Construct optimized data pipelines to feed machine learning models.
- Extend existing machine learning libraries and frameworks.
- Develop processes, model monitoring, and governance framework for successful ML model operationalization.
Other
- Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred.
- Experience managing relationships in a cross-functional environment with multiple stakeholders.
- Experience working in Agile/ Scrum development process.
- Thought leadership and innovative thinking.
- Excellent communication and collaboration skills.
