Data scientist - Senior

• 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

• Experience building software from the ground up in a corporate or startup environment.

Essential skillsets required:

• 5-15 years experience in software development
• Educational Background: Strong computer science and Math/Statistics
• Experience with Open Source LLM and Langchain Framework 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