Demonstrates strong skills and growing expertise in at least one of the four areas: Computer Vision, Natural Language Processing, Machine Learning, and Forecasting. - Understands and translates data-related client requirements into actionable tasks for the team, with an ability to handle moderately complex problems and solutions. - Provides guidance and support to junior team members on data science methodologies, tools, and algorithms within their area of expertise. - Assists in the resolution of data science-related issues within their project, escalating to higher levels when necessary. - Participates in the review process and helps ensure adherence to performance parameters for data science tasks, with a focus on data quality and model performance. - Assists in balancing the data science workload within the team, considering the skills and capacities of team members.



- Actively participates in learning initiatives for upskilling and cross-skilling in data science, and shares knowledge with the team. - Contributes ideas and insights towards the development of recent data science solution offerings. - Encourages junior team members to build technical skills and innovate within the realm of data science. - Begins to build relationships with clients and stakeholders, with a focus on understanding their data-related needs and delivering value. - Starts to develop a foundational understanding of related areas such as data engineering, MLOps, product engineering, or cloud services. - Stays up to date with industry trends in data science to ensure personal growth and the competitive advantage of the team and organization.

📌 Assistant Lead Engineer - Ai (Nagpur)
🏢 KONVERGE.AI PRIVATE
📍 Nagpur