Nagarro
Employer Industry: Digital Product Engineering
Why consider this job opportunity
Opportunity for career advancement and growth within a rapidly scaling organization
Work in a dynamic and non-hierarchical culture that values employee input and feedback
Engage in cutting-edge projects involving machine learning and generative AI
Collaborate with a global team of over 17,500 experts across 39 countries
Chance to mentor team members and contribute to a collaborative learning environment
What to Expect (Job Responsibilities)
Write and review high-quality code while adhering to best practices
Translate client business use cases and technical requirements into elegant technical designs
Identify and propose optimal solutions that meet client requirements
Define guidelines and benchmarks for non-functional requirements during project implementation
Conduct proof of concepts (POCs) to ensure suggested designs and technologies meet requirements
What is Required (Qualifications)
Minimum of 5 years of experience in data science and machine learning
Hands‑on experience with generative AI fundamentals, data analysis, SQL, and model deployment
Proficiency in Python or R for data science applications
Strong troubleshooting skills in diverse technologies and environments
Bachelor’s or master’s degree in computer science, information technology, or a related field
How to Stand Out (Preferred Qualifications)
Experience in classification‑regression, forecasting, anomaly detection, and recommendation systems
Familiarity with cloud platforms such as AWS, Azure, or GCP
Exposure to model deployment using Docker or Kubernetes
Enthusiasm for exploring new technologies and mentoring team members
Strong communication skills to effectively pitch solutions
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Why consider this job opportunity
Opportunity for career advancement and growth within a rapidly scaling organization
Work in a dynamic and non-hierarchical culture that values employee input and feedback
Engage in cutting-edge projects involving machine learning and generative AI
Collaborate with a global team of over 17,500 experts across 39 countries
Chance to mentor team members and contribute to a collaborative learning environment
What to Expect (Job Responsibilities)
Write and review high-quality code while adhering to best practices
Translate client business use cases and technical requirements into elegant technical designs
Identify and propose optimal solutions that meet client requirements
Define guidelines and benchmarks for non-functional requirements during project implementation
Conduct proof of concepts (POCs) to ensure suggested designs and technologies meet requirements
What is Required (Qualifications)
Minimum of 5 years of experience in data science and machine learning
Hands‑on experience with generative AI fundamentals, data analysis, SQL, and model deployment
Proficiency in Python or R for data science applications
Strong troubleshooting skills in diverse technologies and environments
Bachelor’s or master’s degree in computer science, information technology, or a related field
How to Stand Out (Preferred Qualifications)
Experience in classification‑regression, forecasting, anomaly detection, and recommendation systems
Familiarity with cloud platforms such as AWS, Azure, or GCP
Exposure to model deployment using Docker or Kubernetes
Enthusiasm for exploring new technologies and mentoring team members
Strong communication skills to effectively pitch solutions
#J-18808-Ljbffr