Associate Staff Engineer (Machine Learning)

Job Description

Requirements:

Experience: 5+ Years

1. Proven experience in generative AI, with a focus on LangChain, RAG (Retrieval-Augmented Generation) techniques.
2. Proficiency with OpenAI models and frameworks (e.g., GPT-3, GPT-4, Codex).
3. Strong background in working with open-source AI models and tools (e.g., TensorFlow and Hugging Face).
4. Solid understanding of machine learning algorithms, natural language processing, and neural network architectures.
5. Experience with any cloud platforms and services (e.g., AWS, Google Cloud, Azure) for AI model deployment and scaling.
6. Proficient in programming languages such as Python, with experience in developing and deploying AI solutions.
7. Excellent problem-solving skills, with a creative and analytical mindset.
8. Strong communication and teamwork skills.
9. Experience with AI ethics and responsible AI practices.
10. Familiarity with other generative AI techniques such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
11. Contributions to AI research publications or open-source projects.

Responsibilities:

1. Understanding the client’s business use cases and technical requirements and being able to convert them into technical designs that elegantly meet the requirements.
2. Mapping decisions with requirements and being able to translate the same to developers.
3. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
4. Defining guidelines and benchmarks for NFR considerations during project implementation.
5. Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers.
6. 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.
7. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
8. Understanding and relating technology integration scenarios and applying these learnings in projects.
9. Resolving issues that are raised during code/review through exhaustive systematic analysis of the root cause, and being able to justify the decisions taken.
10. 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.