We are seeking a highly skilled and experienced Data Scientist – TM to join our growing team. The ideal candidate will be a data-driven problem solver with strong expertise in machine learning, statistical modeling, Generative AI, and Large Language Models (LLMs) .

The candidate will be responsible for bridging advanced algorithmic research with scalable business applications and transforming data into predictive and prescriptive intelligence. This role will involve end-to-end data science, Generative AI implementation, stakeholder collaboration, and providing strategic insights to support business decisions.

Key Responsibilities

Model Development & Engineering

- Design, build, optimize, and deploy complex machine learning models, predictive algorithms, and statistical models .
- Manage the end-to-end data science lifecycle, including exploratory data analysis, feature engineering, model development, deployment, and monitoring .
- Identify and resolve algorithmic bias, model performance issues, and production bottlenecks.
- Ensure models are accurate, robust, scalable, and suitable for production environments.

Generative AI & LLM Implementation

- Develop and implement Generative AI solutions to address complex business problems.
- Work with Large Language Models (LLMs) , including prompt engineering, output optimization, and fine-tuning where applicable.
- Design and implement RAG (Retrieval-Augmented Generation) solutions.
- Explore and integrate advanced NLP techniques for data extraction, automation, and decision-making.
- Work with Agentic AI frameworks , such as LangGraph, to build intelligent AI workflows and applications.

Strategic Insights & Communication





- Translate complex statistical analysis and model outputs into clear and actionable business recommendations.
- Collaborate with business leaders to identify high-impact AI and Data Science opportunities .
- Define KPIs and success metrics for AI/ML models and solutions.
- Prepare and present technical findings and recommendations to senior leadership and cross-functional stakeholders.
- Act as a subject matter expert in Data Science, Machine Learning, Generative AI, and AI ethics .

Qualifications

- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Physics , or a related quantitative discipline.
- 6–10 years of progressive experience in Data Science, with significant experience in a senior or staff-level role.
- Proven experience developing and deploying Generative AI or LLM-integrated production systems .
- Solid proficiency in Python and machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn .
- Hands-on experience with Agentic AI frameworks , such as LangGraph.
- Strong knowledge of statistical modeling, time-series modeling, experimental design/A-B testing, and causal inference .
- Experience working with large datasets, distributed computing technologies such as Spark, and data warehousing concepts .
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

Preferred Qualifications

- Prior experience working within Google and PLX environments .
- Experience with GCP, Vertex AI , and MLOps frameworks.
- Knowledge of data governance, AI safety, and data security best practices.

📌 Data Scientist – TM (Hyderabad)
🏢 Aceolution
📍 Hyderabad