Data Scientist / AI Specialist (Junior to Mid-Level)

Responsibilities

AI & NLP Solutions: Design, implement, and fine-tune NLP models, sentiment analysis pipelines, and text processing workflows.

LLM & Generative AI Applications

Utilize frameworks like LangChain to build autonomous agents, retrieval-augmented generation (RAG) pipelines, and integrate Large Language Models (LLMs) into production workflows.

ML Model Development

Develop, validate, and deploy end-to-end Machine Learning models for predictive analytics, classification, and clustering tasks.

Data Engineering & EDA

Perform exploratory data analysis, feature engineering, and data cleaning across structured and unstructured datasets.

System Integration

Work closely with cross-functional engineering teams to integrate ML and AI models into API endpoints and client applications.

Required

Experience Level: 0–4 Years

Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.

Core Programming

Advanced proficiency in Python and essential data science packages (Pandas, NumPy, Scikit-Learn).

AI & NLP Expertise

Hands-on experience with NLP libraries (NLTK, SpaCy, Hugging Face Transformers) and modern AI techniques.

LangChain & LLMs

Practical knowledge of building applications with LangChain, prompt engineering, vector databases (e.g., Pinecone, Chroma, FAISS), and OpenAI/Open-source LLM APIs.

Database & Querying

Solid experience writing complex SQL queries for relational databases, as well as working with NoSQL or document databases.

Mathematics & ML Fundamentals

Deep understanding of statistical analysis, probability, supervised/unsupervised learning algorithms, and model evaluation metrics.

Preferred

Familiarity with MLOps tools (MLflow, Docker) for model deployment and monitoring.

Experience with cloud platforms (AWS, GCP, or Azure).

Active portfolio featuring AI/NLP projects, Kaggle competi