Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
USEReady is seeking a Senior Data Scientist to lead advanced analytics initiatives, leveraging AI/ML, GenAI, and Agentic AI to deliver decision intelligence solutions. You will design solutions, collaborating with cross-functional teams and mentoring junior data scientists.
Responsibilities include building GenAI-driven systems, applying GenAI techniques to improve decision workflows, driving MLOps for scalable deployment, and ensuring AI governance and ethics in all projects.
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.