NaukriGulf

Job Description

Data Scientist

About the Role

We are looking for a curious and driven Data Scientist holding 2-3 years of experience .In this role, you will work on building and improving machine learning models that power our core product experiences — including job recommendations, candidate matching, and search relevance. You will collaborate closely with engineering, product, and business stakeholders to deliver data-driven solutions that create measurable impact for millions of job seekers and recruiters across the Gulf region.

Key Responsibilities

Model Development & Experimentation

- Design, develop, and evaluate machine learning models for recommendation, ranking, classification, and NLP tasks.
- Conduct feature engineering and exploratory data analysis to derive actionable insights from large-scale datasets.
- Run A/B experiments and interpret results to guide product and model decisions.

Production & Deployment

- Package and deploy ML models into production environments with robust monitoring and alerting.
- Collaborate with MLOps and backend engineers to ensure scalable, low-latency serving of model predictions.

- Maintain and improve existing ML pipelines, addressing data drift and model degradation proactively.

Data & Analytics

- Work with structured and unstructured data at scale using PySpark and distributed processing frameworks.

- Build and maintain data pipelines that feed model training and evaluation workflows.
- Partner with data engineers to define data requirements and ensure data quality.

Collaboration & Communication

- Translate business problems into well-scoped ML problem statements and communicate findings clearly to non-technical stakeholders.
- Document models, experiments, and decisions to maintain institutional knowledge.
- Contribute to code reviews and uphold engineering best practices within the team.





- Contribute to code reviews and uphold engineering best practices within the team.

Required Skills & Qualifications:

- 4-6 years of hands-on experience in Data Science, Machine Learning, or a closely related field.
- Strong programming proficiency in Python with a focus on clean, maintainable, production-grade code.
Solid understanding and practical experience across core ML domains:
- Supervised learning — Classification and Regression
- Unsupervised learning — Clustering and Dimensionality Reduction
- Natural Language Processing (NLP) and text-based feature extraction
- Recommendation Systems or Information Retrieval
- Proficiency with the Python ML ecosystem: Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn.
- Working knowledge of at least one deep learning framework: TensorFlow or PyTorch.
- Experience with PySpark or other large-scale data processing tools.
- Familiarity with model evaluation best practices — cross-validation, metrics selection, bias-variance tradeoff.
- Experience using Git and working within collaborative software development workflows.
- Solid analytical thinking and ability to communicate complex results clearly.

Preferred Skills:

- Exposure to Generative AI or Large Language Models (LLMs) — fine-tuning, prompt engineering, or inference.
- Experience with Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
- Hands-on experience with vector databases (e.g., Elasticsearch, Pinecone, Qdrant) or hybrid search architectures.
- Familiarity with RAG (Retrieval-Augmented Generation) pipelines or Knowledge Graphs.
- Exposure to AI agent frameworks such as LangChain, LangGraph, or CrewAI.
- Cloud experience with AWS, Azure, or GCP AI/ML services (SageMaker, Vertex AI, Azure ML).
- Understanding of MLOps fundamentals: experiment tracking (MLflow/W&B;), CI/CD for ML, model versioning, and deployment pipelines.

📌 Data Scientist (Uttar Pradesh)
🏢 Info Edge
📍 Uttar Pradesh