InfoBeans

Senior Data Scientist

Job description

At InfoBeans, we believe in making other people’s lives better— through our work and everyday interactions.
Senior Data Scientist Indore/Pune Data Analytics 10+ years Role: Senior Data Scientist Location: Indore/Pune Experience: 10+ years Key Skills: Data Scienctist, deep learning, Gen AI, ML What will your role look like Identify and understand customer challenges and collaborate with cross-functional teams to translate them into business opportunities focusing on AI solutions. Implement and deploy AI solutions, apply, develop and work with different GenAI models. Analyze the results to extract actionable insights and recommendations. Work with large, complex data sets and apply advanced analytical methods as needed. Conduct exploratory data analysis to understand the structure and characteristics of the data. Work with different teams to integrate solutions into business processes and workflows. Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way. Actively and proactively perform market/trend scouting to stay up to date with the latest trends, tools, and techniques. Foster a culture of continuous learning and development Why you will love this role Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded We would like you to bring along Experience in advanced data analytics/data science working with AI/ML or NLP. Skilled in applying algorithmic models and are well acquainted with the properties and limits of state-of-the-art models. Experience in validating the model results against the stated business objectives. Experience in Python Development Experienced in GenAI or NLP developments and preferably working with Langchain. Experience on AWS or Azure and on cloud technologies like AWS Sagemaker Experience in Agile software development methodologies. Strong mindset on the team results and achievements and the ability to translate business requirements into actionable analytics initiatives. Hands-on, proactive and have an entrepreneurial mindset. Fluent in english.

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