Data Scientist

• Develop Python code to analyze public datasets and extract meaningful insights.
• Collaborate closely with researchers to ensure project alignment with company objectives.
• Utilize Jupyter notebooks for efficient coding and documentation.
• Leverage data from public sources like Kaggle to address business queries and enhance decision-making processes.
• • We are looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver AI/ML based Enterprise Software Products.
• • Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs.
• • Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems.
• • Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality.
• • Evaluation and Optimization: Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements.
• • Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders.

Work experience background required:

• • 3-6 years experience in software development
• • Educational Background: Strong computer science and Math/Statistics
• • Experience with Open Source LLM and Langchain Framework and and designing efficient prompt for LLMs.
• • Proven ability with NLP and text-based extraction techniques.
• • Experience in Generative AI technologies, such as diffusion and/or language models.
• • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• • Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud environment.
• • Experience with common data science toolkits, such as NumPy, Pandas etc
• • Proficiency in using query languages such as SQL
• • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• • Experience working with large data sets along with data modeling, language development, and database technologies
• • Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.
• • Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.
• • Excellent verbal and written communication skills