Assistant Lead Engineer

About the job

Responsibilities: • Translates data-related client requirements into project tasks and deliverables, with an understanding of complex problems and solutions. • Drives data solutions within projects, with a focus on innovation and value creation. • Provides technical guidance and support to team members on data science methodologies, tools, and algorithms. • Acts as a point of escalation for data science-related issues within the project, working towards efficient resolution. • Reviews and ensures adherence to performance parameters for data science tasks, with a focus on data quality and model performance. • Balances data science workload within the team, considering the skills and capacities of team members. • Champions learning initiatives for upskilling and cross-skilling in data science within the team, including knowledge sharing sessions and promoting best practices. • Contributes to the development of new data science solution offerings, leveraging insights from project work. • Encourages team members to build technical expertise and innovate within the realm of data science. • Begins to build and nurture client relationships with a focus on identifying opportunities to add value through data science. • Starts to develop proficiency in at least one of data engineering, MLOps, product engineering, and cloud services, and applies this knowledge within projects. • Begins to contribute to the organisation's thought leadership in data science, such as writing articles, giving presentations, or contributing to internal forums. • Actively identifies and communicates opportunities for the organisation to enhance its data science capabilities, including new tools, methodologies, or service offerings. • Keeps an eye on industry trends in data science to ensure personal growth and the competitive advantage of the organisation. Requirements: • Demonstrates proficiency in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting. • Expected to deepen this expertise further.