- 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