REQUIREMENTS :
- Experience : 5 Years
- Strong working experience in machine learning with a proven track record of delivering impactful solutions in NLP machine vision and AI.
- Proficiency in programming languages such as Python or R and experience with data manipulation libraries (e.g. Pandas NumPy).
- Strong understanding of statistical concepts and techniques and experience applying them to real-world problems.
- Strong programming skills in Python and proficiency in deep learning frameworks such as TensorFlow PyTorch or JAX as well as machine learning libraries such as scikit-learn.
- Practical experience with Generative AI frameworks such as GANs VAEs prompt engineering and retrieval-augmented generation (RAG) and the ability to apply them to real-world problems.
- Excellent problem-solving skills with a creative and analytical mindset.
- Strong communication and teamwork skills with the ability to work effectively in a team environment and interact with stakeholders at all levels.
- Experience with AI ethics and responsible AI practices
RESPONSIBILITIES :
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 implementationWriting and reviewing design document explaining overall architecture framework and high-level design of the application for the developersReviewing 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 non-functional requirements; and defining technologies patterns and frameworks to materialize itUnderstanding and relating technology integration scenarios and applying these learnings in projectsResolving 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 : Employment Type :
Full-time
Key Skills
Computer Science,Docker,Kubernetes,Python,VMware,C / C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems
Department / Functional Area : Engineering
Experience : years
Vacancy : 1