Senior Data Scientist- Gen AI/Agentic AI

Job Description

Why would you like to join us?

TransOrg Analytics specializes in Data Science, Data Engineering and Agentic AI/Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.ai to know more about us.

What do we expect from you?

• Analyze and interpret data and communicate insights to clients using mathematical, statistical, and analytical techniques.
• Perform data exploration, statistical and predictive modelling, data analysis, and hypothesis testing.
  • Design, develop, and deploy predictive models and analytical frameworks for real-world business problems.
• Design, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small Language Models), and other Agentic/Generative AI solutions for diverse business use cases.
• Explain complex statistical and machine learning concepts in a clear and understandable manner to business stakeholders.
• Work closely with internal teams and clients to understand requirements and translate them into data-driven solutions.
• Contribute to analytics solution design and support delivery across multiple client engagements.

Responsibilities:

Project Delivery

• Provide hands-on data science and AI expertise to design, build, and deliver scalable ML, deep learning, and Agentic/Generative AI solutions.
• Work extensively with tabular data to build predictive models, perform feature engineering, and optimize model performance.
• Apply conventional machine learning techniques (e.g., regression, classification, clustering, ensemble methods) along with deep learning approaches.
• Build and optimize deep learning models for structured and unstructured data, including text, video and audio.
  • Work on audio data use cases such as classification, recognition, and signal processing tasks (where applicable).
• Translate business problems into well-defined ML/AI problem statements and deliver actionable insights.
  • Support deployment of production-grade models with focus on scalability, efficiency, and maintainability.
• Mentor junior data scientists and interns through knowledge sharing and technical guidance.
  • Contribute thought leadership in areas such as predictive modelling, customer segmentation, reporting & analysis, and data processing.

What are we looking for?

Qualification Requirements:

Educational:

• Bachelors degree in computer science, Engineering, Statistics, Mathematics, or a related quantitative field with at least 4 years of experience in Data Science/ML/AI.

Technical:

• Proven expertise working with large-scale tabular data and building machine learning models.
• Strong knowledge of conventional ML algorithms (tree-based models, SVMs, clustering, etc.).
• Hands-on experience with deep learning frameworks such as TensorFlow / PyTorch.
• Mandatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning, prompt engineering, and deployment.
• Proficiency in Python and libraries such as scikit-learn, pandas, NumPy.
• Exposure to model deployment frameworks and tools (ONNX, Triton, TensorRT, FastAPI, etc.).
• Familiarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.
• Experience with Databricks is a plus.
• Strong understanding of MLOps practices, reproducibility, and model monitoring.

Other:

• Excellent written and verbal communication skills in English.
• Demonstrated experience working collaboratively in cross-functional teams.
• Ability to balance research and production priorities while meeting deadlines.
• Passionate about applying AI/ML to solve diverse real-world problems, especially at the intersection of Agentic AI/GenAI and enterprise AI adoption.

More Info

Education