About Innovecture: Founded in 2007 under the leadership of CEO Shreyas Kamat, Innovecture LLC, began as a U.S.based Information Technology and Management Consulting Company focusing on technology consulting and services. With international development centers located in Salt Lake City, USA, and Pune, India, Innovecture leverages its Global Agile Delivery Model to effectively deliver client projects within budget scope and project deadline. The primary focus of Innovecture is to provide a unique wealth of expertise and experience to the IT and Management Consulting realm by utilizing various technologies across multiple industry domains. Innovecture uses best-in-class design processes and top-quality talent to ensure the highest quality deliverables. With innovation embedded in its consulting and services approach, Innovecture will continue to deliver outstanding results for its Fortune 500 clients and employees. Must have: Real production experience with MLOps in Databrick, particularly with experience in Model registration and evaluation Anthropic’s Model Context Protocol, Azure AI Agent Service or Dapr Having built AI Agents and integrating those agents into a reasoning model Integrating Agents (home built or otherwise) into advanced reasoning models AI “Platform” capabilities like implementing constraints, monitoring, automated testing, etc. We will count on you to: (Role and Responsibilities) Collaborate with data experts and stakeholders to understand business objectives and identify opportunities for leveraging data to drive decision-making and business growth. Design and implement advanced data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets. Conduct exploratory data analysis to identify patterns, trends, and correlations in the data, and communicate findings to both technical and non-technical stakeholders. Mentor and provide guidance to junior data scientists, sharing best practices and fostering a culture of continuous learning and improvement. What you need to have: (Qualifications) Bachelor's or master’s degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist, with a strong track record of delivering impactful data-driven solutions. Strong knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling. Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Strong problem-solving skills and the ability to think critically and creatively to develop innovative data-driven solutions. Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Strong attention to detail and the ability to work independently and manage multiple projects simultaneously. Experience working in a collaborative, cross-functional team environment is highly desirable. What makes you stand out? (Preferred Qualifications) Proficiency in using Databricks for data science work, including data preprocessing, feature engineering, model training, and evaluation. Solid understanding of data visualization techniques and tools (e.g., Qlik, Tableau, Power BI) to effectively communicate complex findings to stakeholders.