REQUIREMENTS:
- Total experience 11years.
- Hands on working experience in data science with a focus on predictive modeling and optimization.
- Strong experience with Python (and/or R) and libraries such as Pandas NumPy Scikitlearn TensorFlow PyTorch.
- Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. AWS Azure GCP).
- Proven expertise in machine learning mathematical optimization (e.g. LP IP genetic algorithms RL) and NLP techniques.
- Familiarity with Generative AI fundamentals and handson experience with RAG LangChain LlamaIndex and prompt engineering.
- Strong understanding of MLOps principles and tools for CI/CD monitoring and model lifecycle management.
- Experience in Reinforcement Learning Ant Colony Optimization or other advanced AI methodologies.
- Familiarity with containerization tools (e.g. Docker Kubernetes) for model deployment.
- Handson experience with version control MLflow or similar experiment tracking tools.
- Strong interpersonal and communication skills to interact with business and technical teams effectively.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design document explaining overall architecture framework and highlevel design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility scalability security design patterns user experience NFRs etc. and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and nonfunctional requirements; and defining technologies patterns and frameworks to materialize it.
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review through exhaustive systematic analysis of the root cause and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
Yes
Employment Type :
Fulltime