Job Description
REQUIREMENTS:
Experience:
- 7+ Years Hands-on 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 client’s business use cases and technical requirements and able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and able to translate the same to developers.
- Identifying different solutions and narrowing down the best option that meets the client’s requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation.
- Writing and reviewing design documents explaining the overall architecture, framework, and high-level 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 ensuring that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; defining technologies, patterns, and frameworks to materialize it.
- Understanding and relating technology integration scenarios and applying these learnings in projects.
- Resolving issues raised during code/review, through exhaustive systematic analysis of the root cause, and justifying the decisions taken.
- Carrying out POCs to ensure that suggested design/technologies meet the requirements.
Qualifications:
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
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