Associate Staff Engineer (Machine Learning, Neural Network)

Company Description

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in!

Job Description

REQUIREMENTS:

• Experience: 5+ Years
• Proficiency in ChatGPT and other large language models.
• Expertise in neural networks and traditional machine learning algorithms.
• Advanced knowledge of machine learning algorithms applicable to AGI, including meta-learning, transfer learning, and neuro-evolution.
• Experience in deep learning architectures, such as RNNs, CNNs, and attention mechanisms.
• Proficiency in reinforcement learning algorithms and techniques.
• Understanding of cognitive science principles and cognitive modeling.
• Experience in developing multi-agent systems.
• Familiarity with symbolic AI techniques.
• Knowledge of AGI safety and alignment principles.
• Experience with AGI development frameworks like OpenAI’s GPT.
• Understanding of meta-learning and self-improvement techniques.
• Awareness of ethical considerations in AGI development.
• Knowledge of AGI governance and policy.
• Experience in human-AI collaboration.
• Ability to develop AGI evaluation metrics and benchmarks.
• Track record of AGI research and innovation.
• Strong foresight and strategic thinking skills.

RESPONSIBILITIES:

• Understanding the client’s 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 client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining 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 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 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

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.