Senior Data Scientist

Recruise; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Recruise is seeking a Senior Data Scientist in Hyderabad to design, develop, and deploy scalable ML/AI solutions, including Generative AI and LLMs. You will collaborate with cross-functional teams, mentor juniors, and translate cutting-edge research into production-ready systems.

The role requires 7-11 years of experience and a strong foundation in statistics, ML, DL, NLP, and cloud-based ML pipelines. Join a fast-paced team solving real-world problems with impact.

Qualifications

• Bachelor's or master's degree in CS/Statistics/Applied Math or related field.
• Strong foundation in descriptive and inferential statistics, hypothesis testing, and regression.
• Hands-on ML & DL experience with trees, ensembles, SVMs, neural nets, NLP.
• Proficiency in CNNs, RNNs, Transformers, LSTMs for deep learning.
• Knowledge of LLMs (GPT/BERT/LLaMA), fine-tuning, embeddings, prompt engineering.
• Strong Python programming with NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, HuggingFace.
• Experience with cloud platforms and ML pipelines; Docker/Kubernetes; Git.

Responsibilities

• Design, build, and validate ML/DL models with scalability and explainability.
• Apply statistical methods to derive actionable insights from large data.
• Lead model development using scikit-learn, PyTorch, and TensorFlow.
• Drive Generative AI and LLM adoption, with prompt engineering and ethics.
• Collaborate with data engineers, product teams, and stakeholders to solve business problems.
• Contribute to code reviews, model docs, and mentorship of junior data scientists.
• Stay updated with research and translate methods to production.

Skills

Analytical thinking

Problem solving

Python programming

ML algorithms

NLP

Education

Bachelor's/Master's in CS/Statistics/Applied Math

Tools

scikit-learn

PyTorch

TensorFlow

HuggingFace

NumPy

pandas

Matplotlib

Docker

Kubernetes

AWS

GCP

Azure

Job description

Job Title: Data Science

Experience Level: 7-11 Years

Location: Hyderabad

Budget - Up to 30 LPA

Job Summary

We’re looking for a Senior Data Scientist with strong analytical thinking, deep technical expertise, and a proven ability to apply machine learning to solve real-world problems. The candidate should have 4+ years of high-quality proven experience in AI/ML working. You’ll work with cross-functional teams to design, develop, and deploy scalable AI/ML solutions, including Generative AI, predictive modeling, and recommendation systems.

Key Responsibilities

• Design, build, and validate machine learning and deep learning models, ensuring robustness, scalability, and explainability.
• Apply strong statistical foundations to analyze large datasets and derive actionable insights.
• Lead the development and evaluation of models using modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Drive the adoption of Generative AI and LLM-based solutions, ensuring model alignment, prompt engineering, and ethical AI practices.
• Collaborate with data engineers, product teams, and business stakeholders to transform business problems into technical solutions.
• Contribute to code reviews, model documentation, and mentorship of junior data scientists.
• Stay abreast of the latest research and translate cutting-edge methods into production.

Required Qualifications

• Bachelor’s or master’s degree in computer science, Statistics, Applied Mathematics, or a related field.
• Statistical and Mathematical Rigor
  • Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).
  • Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.
• Machine Learning & Deep Learning
  • Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.
  • Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.
• Generative AI & LLMs
  • Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.
  • Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.
• Programming & Problem Solving
  • Advanced proficiency in Python with the ability to write clean, modular, and testable code.
  • Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.
  • Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.
• Tooling & Deployment
  • Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).
  • Version control (Git) and collaborative development practices.