
Data Scientist
1 day ago
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
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