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Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.
Artificial Intelligence • Edtech • Mobile • Natural Language Processing • Productivity • Software
The role involves designing, developing, and maintaining full-stack applications focused on user retention and growth, collaborating with cross-functional teams, and optimizing systems to impact millions of users.
Top Skills:
AmplitudeGa4JavaScriptMixpanelNode.jsNoSQLReactSQLTypescript
Machine Learning • Natural Language Processing
Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.
Top Skills:
Digital Tools
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 a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
Job DescriptionREQUIREMENTS:
- Total experience 10+years.
- Hands on working experience in data science with a focus on predictive modeling and optimization.
- Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
- Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g., AWS, Azure, GCP).
- Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques.
- Familiarity with Generative AI fundamentals and hands-on experience with RAG, LangChain, LlamaIndex, and prompt engineering.
- Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management.
- Experience in Reinforcement Learning, Ant Colony Optimization, or other advanced AI methodologies.
- Familiarity with containerization tools (e.g., Docker, Kubernetes) for model deployment.
- Hands-on experience with version control, MLflow, or similar experiment tracking tools.
- Strong interpersonal and communication skills to interact with business and technical teams effectively.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- 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.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
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