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Job Description

Description :


- Designation : Sr. Data Scientist.

- Experience : 4+ Yrs.

- Location : Hyderabad (Hybrid).

Key Responsibilities :


- Design, develop, and deploy AI/ML models for financial forecasting and business analytics.

- Build and optimize time series models (forecasting, trend analysis, anomaly detection) using large-scale datasets on Databricks.

- Develop custom AI tools to summarize business problems, define solution approaches, and present insights in a structured manner.

- Work on end-to-end AI solutions, from data ingestion and feature engineering to model deployment and monitoring.

- Design and work within multi-agent AI environments, enabling agents to collaborate for complex problem-solving.

- Collaborate with business, data, and engineering teams to translate requirements into scalable AI solutions.

- Ensure models meet performance, scalability, and governance standards.

- Document solutions, assumptions, and outcomes for both technical and non-technical stakeholders.

- Lead delivery of large-scale projects by breaking down work into well-defined tasks, allocating them efficiently across team members, and ensuring timely, high-quality execution (acting as a delivery foreman for the team).

- Oversee, mentor, and coach junior team members, providing technical guidance, reviewing deliverables, and ensuring skill development while maintaining overall team productivity and standards.

Required Skills & Experience :


- Strong expertise in AI/ML concepts, including supervised and unsupervised learning.

- Hands-on experience in financial forecasting and time series analysis.

- Proven experience with Databricks, MLflow, and data processing.

- Experience building custom AI tools or frameworks tailored to specific business problems.

- Ability to summarize complex problems and solutions clearly and concisely.

- Exposure to or hands-on experience in multi-agent AI architectures.

- Proficiency in Python, ML libraries (scikit-learn, statsmodels, PyTorch/TensorFlow).

- Strong communication and stakeholder management skills.

Good to Have :


- Experience with LLMs, prompt engineering, or agent-based frameworks.

- Knowledge of cloud platforms (AWS, Azure, or GCP).

- Experience in MLOps, model monitoring, and governance.


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