Job Description

Role:

• Develop and Deliver:?Applying modern software development practices, you will be involved in the entire software development lifecycle, building,?testing?and delivering high-quality solutions.
• Build Scalable ML Solutions:?You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.? You will?develop?high performing scalable?systems in the context of large online delivery environments.
• Be a Team Player:?Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams
• Be an Agile Person:??With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions.??
• Be Innovative:?You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.?? Integration & testing research code into enterprise solution will be key factor as well.
• Be an Effective Communicator:?Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.???

About You:

To be considered for the role of Senior Research Engineer, you will have:

• Have a?Bachelor of Science?degree, computer?science or related field? or MCA
•  At least?5?years software engineering experience, ideally in the context of machine learning and natural language processing
• Are skilled and have a deep understanding of?Python software development stacks?and ecosystems, experience with other programming languages and ecosystems is ideal.
• Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
•  Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn
• Take pride in writing clean, reusable, maintainable and well-tested code
• Have a desire to learn and embrace new and emerging technology like GenAI & LLMs (ChatGPT, OpenAI, Llma or Bard)
• Are familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods
•  Responsible for whole components or subsystems including the design and development