Interesting Job Opportunity: Lead Data Scientist - Python/LLM

• Lead the development of innovative products and solutions using advanced AI/ML techniques, ensuring a competitive user experience.
• Design and prototype AI/ML services utilizing Python to demonstrate key concepts and functionality.
• Leverage Data Science and Machine Learning to solve complex organizational problems and create intellectual property that can be productized.
• Conduct hands-on work across multiple technologies, focusing on data analysis, pattern recognition, machine learning model development, and insight generation.
• Train algorithms for dedicated systems to reduce operational complexity and improve efficiency.
• Develop interfaces to project databases, with a focus on MongoDB (Document Data Base) for scalable solutions.
• Take initiative in driving projects and delivering results, maintaining a highly results-oriented approach.
  

Requirements

• Extensive experience in research and development, especially in software based solutions and products.
• Proven experience in implementing strategies, proof-of-concepts (POCs), and commercial topics.
• Expertise in core software development functions, including architecture, development, and testing.
• Global experience with international projects and collaboration in diverse, multicultural teams is highly preferred.
• Minimum 6 years of experience developing software solutions using various programming languages.
• Strong expertise in Data Engineering, Data Analytics, and building data pipelines.
• Mastery of Python for AI/ML implementations.
• Deep understanding of distributed systems, including building and implementing algorithms in such environments.
• Hands-on experience with data science, machine learning, and developing web applications deployed on cloud platforms using frameworks like Flask or Django.
• Expertise in working with multiple databases, particularly NoSQL solutions like MongoDB.
• Solid experience in building REST APIs and microservices architecture.
• Strong understanding of web server technologies, load balancing, and deployment processes.
• Advanced knowledge of the software development life cycle (SDLC) and software engineering best practices.
• Excellent communication and presentation skills, with strong proficiency in English (both written and spoken).
• Experience with project management tools like Jira and Confluence is an added advantage.
• Familiarity with Agile/Lean development methodologies, particularly Scrum.
• Strong customer focus and the ability to quickly adapt and learn in a dynamic environment.
  

Technical Expertise

• Proficient in machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with large language models (LLMs) such as GPT, LLaMA, etc.
• Expertise in data preprocessing, feature engineering, and model evaluation.
• Understanding of neural networks and deep learning concepts.
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
• Ability to learn and apply new technologies in a fast-paced environment.
  

Educational Qualifications

• Undergraduate: B.Tech/B.E. in Computer Science, Electronics and Communication (EC), or related fields; BCA in Computer Applications.
• Postgraduate: M.Tech in Computer Science, MCA in Computers, MCM in Computers and Management, MS/M.Sc (Science) in Computer Science