Data Scientist - Entry Level

• We are looking for a Data Scientist with a strong background in Machine Learning, Deep Learning, and AI-driven applications.

• The ideal candidate should be passionate about building models, extracting insights from data, fine-tuning LLMs, and developing AI-powered solutions.

• You will work closely with cross-functional teams to develop innovative AI applications and help drive data-driven decision-making.

Key Responsibilities:

• Data Analysis & Pattern Recognition ? Read and analyze large datasets to uncover trends and actionable insights.
• Model Development ? Build, train, and optimize Machine Learning/Deep Learning models.
• Generative AI & LLM Fine-Tuning ? Work on fine-tuning large language models, Retrieval-Augmented Generation (RAG), and NLP/NLU applications.
• AI-Powered Applications ? Develop AI-driven applications, including chatbots and automation tools.
• Computer Vision & OpenCV ? Implement image processing and deep learning models for visual data.
• MLOps & Deployment ? Develop and deploy ML models using MLOps frameworks for scalability and efficiency.
• Agentic AI & Autonomous Systems (Preferred) ? Research and implement AI agents for decision-making tasks.
• Data Visualization & Insights ? Utilize visualization tools to present findings and support strategic decisions.
• Domain Understanding & Strategy ? Collaborate with stakeholders to understand business needs and contribute AI-driven solutions.
• Be a team player and help the team to build applications

Requirements

• Programming: Python
• Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn
• NLP & NLU: Large Language Models, Transformers, RAG Applications
• Computer Vision: OpenCV, Image Processing, Object Detectio
• MLOps & Model Deployment: Docker, Kubernetes, MLflow
• Generative AI & LLM Fine-Tuning: OpenAI, Hugging Face, LangChain
• Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
• Agentic AI (Preferred but not mandatory)