Associate Staff Engineer (Machine Learning)
Gurugram, India
Nagarro
A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.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're looking for great new colleagues. That's where you come in.
Job Description
REQUIREMENTS:
- Experience : 5+ years
- Build and manage MLOps pipelines on GCP and collaborate with data scientists to deploy models along with automate deployment using Kubernetes Engine, Cloud Functions, or Cloud Run.
- Implement CI/CD for ML workflows and monitor model performance and optimize with GCP tools and integrate MLOps workflows with existing infrastructure.
- Extensive experience in software engineering, machine learning, or MLOps and GCP experience (AI Platform, Kubernetes, Cloud Functions, BigQuery).
- Strong Python skills and containerization experience with proficiency in ML frameworks (TensorFlow, scikit-learn, PyTorch) and CI/CD tools (Jenkins, GitLab CI).
- Excellent problem-solving and communication skills. Google Cloud certifications are a plus.
- Must-Haves: Vertex AI, Databricks AI, Python, SQL, Big QueryML, AutoML
- Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
- Fundamental knowledge of design patterns
- Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
- Passionate about building great solutions.
- Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
- Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
- Determining and implementing design methodologies and tool sets
- Enabling application development by coordinating requirements, schedules, and activities.
- Being able to lead/support UAT and production roll outs.
- Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs
- Coming up with solutions to any issue that is raised during code/design review 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.
Additional Information
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile BigQuery CI/CD Computer Science Databricks Engineering GCP GitLab Google Cloud Jenkins Kubernetes Machine Learning MLOps Pipelines Privacy Python PyTorch Scikit-learn SQL TensorFlow Testing Vertex AI
Perks/benefits: Career development Team events
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