IntelleWings is looking for a technically strong and results-driven Data Scientist with 1–2 years of experience in Deep Learning, Natural Language Processing (NLP), and Python. You will play a critical role in developing advanced AI solutions that combat financial crime. This position offers a dynamic environment to apply and scale machine learning and deep learning models to solve real-world problems using largescale structured and unstructured datasets.

Key Responsibilities:

Design, develop, and evaluate deep learning models for NLP and data-centric applications using frameworks like TensorFlow, Keras, or PyTorch.
Apply NLP techniques such as text classification, NER, topic modeling, and sentiment analysis to financial and regulatory text data.
Scrape and extract data from web sources and public APIs to enrich datasets with actionable intelligence.
Build and maintain robust ETL pipelines for data ingestion, cleaning, transformation, and modeling.
Perform in-depth data analysis and visualization using tools like pandas, NumPy, matplotlib, and seaborn.
Train, fine-tune, and evaluate ML models with scikit-learn and deploy them in production workflows.
Work with MongoDB and MySQL to manage and query structured and semistructured data.
Collaborate with engineering teams to containerize models using Docker and assist with integration into production systems.
Contribute to code reviews, R&D discussions, and optimization of model performance.
Keep up to date with the latest research and tools in AI, deep learning, and NLP.

Key Skills & Requirements:

Strong Python programming skills with hands-on experience in data science libraries (pandas, NumPy, scikit-learn).
Proven experience in deep learning techniques (CNNs, RNNs, Transformers) and familiarity with DL frameworks (TensorFlow, Keras, or PyTorch).
Solid knowledge and application of NLP libraries (spaCy, NLTK, Hugging Face Transformers).
Experience in web scraping using tools like BeautifulSoup, Scrapy, or Selenium.
Proficiency with MongoDB and MySQL databases.
Familiarity with Docker for containerizing ML workflows is a strong plus.
Understanding of statistics, data wrangling, and data visualization techniques.
Strong problem-solving abilities and capacity to work independently or in teams.
Excellent communication and documentation skills.

Preferred Qualifications:

Bachelor’s degree in computer science, AI/ML, Data Science, or related fields.
1–2 years of hands-on experience in data science or applied machine learning roles.
Demonstrated experience through industry projects, open-source contributions, or previous internships.
Exposure to cloud platforms (AWS, Azure, or GCP) is highly desirable.
Knowledge of MLOps tools, CI/CD pipelines, or model deployment frameworks is a plus.

Why Join Us?

At IntelleWings, you will be part of a mission-driven team building real-world AI applications in the AML/CFT domain. Work on challenging problems that truly matter, using cutting-edge technologies in deep learning and data science. If you’re passionate about AI and want to create impact with your skills, this is the place to be.

Pay: ₹40,000.00 - ₹60,000.00 per month

Benefits: