Data Scientist - Machine Learning Models

Description:

Role Overview

We are looking for a skilled and motivated Data Scientist with hands-on experience in building end-to-end Machine Learning models and working on Natural Language Processing (NLP) use cases.

The ideal candidate will be responsible for developing, training, evaluating, and deploying ML models to solve business problems and generate actionable insights.

The role requires strong analytical capabilities, problem-solving skills, and the ability to collaborate with cross-functional teams to deliver scalable data-driven solutions.

Key Responsibilities :

- Build, train, evaluate, and deploy end-to-end Machine Learning models from data collection to production.

- Work on NLP use cases such as :

1. Text Classification

2. Sentiment Analysis

3. Document Processing

4. Information Extraction

- Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis.

- Develop scalable ML pipelines and model deployment workflows.

- Monitor, maintain, and improve model performance in production environments.

- Collaborate with business and technical teams to identify opportunities for data-driven solutions.

- Optimize model accuracy, efficiency, and scalability.

- Create documentation for models, workflows, and experiments.

Required Skills :

- Machine Learning

- Natural Language Processing (NLP)

- Proficiency in Python

Hands-on experience with :

1. Scikit-learn

2. TensorFlow

3. PyTorch

Strong knowledge of :

1. Pandas

2. NumPy

3. SQL

Understanding of :

- ML model deployment

- ML pipelines

- Model evaluation techniques

Soft Skills :

- Strong analytical and problem-solving abilities

- Excellent communication and collaboration skills

- Ability to work independently and in team environments

- Strong attention to detail and experimentation mindset

Experience Required :

- 3 to 6 years of experience in :

- Data Science

- Machine Learning

- NLP-based projects

- Preferred Qualifications

Bachelors or Masters degree in :

- Computer Science

- Data Science

- Statistics

- Mathematics

- Engineering

- or related fields