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USEReady Technology Private Limited is seeking a Senior Data Scientist in Bengaluru to lead advanced analytics initiatives leveraging GenAI, Agentic AI, and AI governance. You will design scalable solutions, mentor junior data scientists, and collaborate across sales, delivery, and engineering teams.
The role emphasizes practical implementation of state-of-the-art AI technologies, strong cloud and MLOps capabilities, and a commitment to ethical AI practices.
USEReady is a global analytics and data management solutions company that helps enterprises harness the power of data to drive smarter decisions. With a strong presence across North America, USEReady partners with Fortune 500 companies to deliver end-to-end analytics, BI, data engineering, and AI/ML solutions. Our Bangalore office serves as a key hub for our finance, technology, and delivery operations.
The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data scientists.
Design and implement advanced machine learning , Gen-AI, and Agentic AI based solutions.
Apply GenAI and Agentic AI techniques to enhance decision-making workflows.
Collaborate with sales and presales teams to craft proactive solution pitches for clients.
Drive innovation in MLOps practices for scalable model deployment and monitoring.
Conduct research on emerging AI technologies and integrate them into solutions.
Mentor junior team members and foster a culture of continuous learning.
Ensure compliance with AI governance and ethical standards.
Bachelor’s or Master’s or Ph.D. in Data Science, Machine Learning, or related field.
6+ years of experience in data science and AI/ML model development.
Expertise in NLP, deep learning, and advanced ML frameworks (TensorFlow, PyTorch).
Hands-on experience with Generative AI and Agentic AI.
Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Proficiency in Python and SQL; familiarity with MLOps tools (MLflow, Kubeflow) and LLMOps tools (LangSmith, LangFuse).
Knowledge of Snowflake would be beneficial.
Strategic thinking and problem-solving.
Excellent communication and stakeholder engagement skills.
Ability to lead complex projects and deliver business impact.