Senior Staff Engineer, Data Science
- Nagarro
- 10 - 15 years
- Remote
- 7 months ago
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Job Description
- 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 (eg, AWS, Azure, GCP).
- Proven expertise in machine learning, mathematical optimization (eg, 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 (eg, 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 followe'd.
- 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: NagarroLocation(s): Remote+ View Contact
Keyskills: Version control data science GCP Machine learning Predictive modeling High level design Information technology Monitoring Python
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