Associate Principal Engineer, Machine Learning

🔥 45 minutes ago

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Nagarro

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤝 B2B

🏢 Enterprise

B2B • Enterprise • Technology Consulting

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

📋 Description

• Understanding the client’s business use cases and technical requirements • Converting business requirements into technical design • Mapping decisions with requirements • Identifying different solutions and narrowing down best options • Defining guidelines and benchmarks for NFR considerations during implementation • Writing and reviewing design documents • Reviewing architecture and design on various aspects like extensibility, scalability, security, etc. • Developing and designing overall solution for defined functional and non-functional requirements • Understanding and relating technology integration scenarios • Resolving issues raised during code/review • Carrying out POCs to ensure suggested design/technologies meet requirements

🎯 Requirements

• 9+ Years of experience in machine learning • Strong working experience in NLP, machine vision, and AI • Experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure • Proficiency in programming languages such as Python or R • Experience with data manipulation libraries (e.g., Pandas, NumPy) • Strong understanding of statistical concepts and techniques • Strong programming skills in Python • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX • Experience with machine learning libraries such as scikit-learn • Experience in SQL • Understanding of MLOps • Experience with deployment technologies: MLflow, Kubeflow, Docker, Kubernetes • Experience designing and deploying AI agents for multi-agent systems • Strong understanding of LLMs • Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering • Excellent problem-solving skills • Strong communication and teamwork skills • Experience with AI ethics and responsible AI practices

🏖️ Benefits

• Employees can work remotely