Job Description

Job Title:

Data Scientist

Experience:

2+ Years

Job Overview:

We are seeking a talented

Data Scientist

to join our team and contribute to building advanced AI/ML solutions. The candidate will be responsible for developing, deploying, and optimizing models--including

Large Language Models (LLMs)

--to solve real-world business challenges. You will collaborate with cross-functional teams, ensure scalability, and deliver actionable insights through data-driven solutions.

Key Responsibilities:

Data Collection & Preprocessing:

Gather, clean, and prepare structured and unstructured data for model training and evaluation.

Model Development:

Design, develop, and optimize machine learning and deep learning models to solve business problems.

LLM Integration:

Build, fine-tune, and deploy Large Language Models (LLMs) for NLP tasks such as text generation, summarization, and sentiment analysis.

Feature Engineering:

Identify relevant features and implement feature extraction techniques to improve model accuracy.

Model Evaluation & Optimization:

Conduct rigorous evaluation and fine-tuning to enhance model performance, efficiency, and scalability.

Data Visualization & Insights:

Create dashboards and reports to effectively communicate findings and insights to stakeholders.

API Development & Deployment:

Develop APIs and integrate AI/ML models into production systems.

Collaboration & Documentation:

Work with cross-functional teams to understand requirements, while documenting processes, workflows, and model architectures.

Required Skills & Qualifications:

Education:

Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field.

Experience:

Minimum

2+ years

of proven experience as a Data Scientist/AI Engineer.

Technical Skills:

Strong proficiency in

Python

and ML/AI libraries such as

TensorFlow, PyTorch, Scikit-Learn

. Hands-on experience with

LLMs

(OpenAI, Hugging Face, etc.) and fine-tuning techniques. Solid understanding of

Natural Language Processing (NLP), neural networks, and deep learning architectures

. Expertise in

data wrangling, feature engineering, and data visualization

. Experience with

APIs, cloud platforms (AWS, Azure, GCP)

, and deploying AI models in production.

Analytical & Problem-Solving Skills

with the ability to interpret complex data and deliver actionable insights. Strong

communication skills

to effectively collaborate with technical and non-technical stakeholders.
Job Types: Full-time, Permanent

Work Location: In person