Principal Engineer, Data Science - Careers at Nagarro
Nagarro
Principal Engineer, Data Science - Careers at Nagarro
Job Description
Principal Engineer, Data Science - Careers at Nagarro
Location: WFA/Remote, India | Job ID: REF43127P
Role Description
REQUIREMENTS: Total experience 15+ years. Hands on working experience in data science with a focus on predictive modelling) (eg. Statistical Analysis, ANOVA, Time series Analysis, Regression Analysis) and optimization. Strong working experience with Data Science on GCP, Generative AI fundamentals. Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn. 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, Lang Chain, Llama Index, and prompt engineering. Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: 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.
Key Responsibilities
- Understand client business use cases and convert to technical designs
- Map decisions to requirements and translate to developers
- Identify solutions, narrow down best options for client needs
- Define guidelines and benchmarks for NFRs in projects
- Write and review design documents on architecture and frameworks
- Review architecture for extensibility, scalability, security, and best practices
- Develop solutions for functional/non-functional requirements
- Resolve issues through root cause analysis and POCs
What You Bring (Qualifications)
- 15+ years total experience in data science
- Bachelor’s or Master’s degree in Computer Science, IT, or related field
- Proven hands-on expertise in predictive modeling and optimization
- Strong knowledge of cloud ecosystems and deployment
Core Skills
Predictive modelling (Statistical Analysis, ANOVA, Time series, Regression), Data Science on GCP and Generative AI fundamentals, Python (Pandas, NumPy, Scikit-learn) and/or R, Machine learning, mathematical optimization (LP, IP, genetic algorithms, RL), NLP, MLOps principles, CI/CD, model lifecycle management, Cloud Architecture (AWS, Azure, GCP), RAG, Lang Chain, Llama Index, prompt engineering, Excellent communication and cross-functional collaboration
Why Nagarro? (Benefits)
- Work From Anywhere (WFA/Remote) flexibility for better work-life balance
- Caring Mindset with emphasis on employee well-being and growth
- Fluidic Enterprise model enabling agile career progression
- Global opportunities across diverse projects and locations
- Collaborative culture fostering innovation in Digital Engineering
- Continuous learning through cutting-edge AI and Data Science exposure
Locations
- WFA/Remote, India
Salary
Salary details available upon request
6,000,000 - 12,960,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Predictive modelling (Statistical Analysis, ANOVA, Time series, Regression)intermediate
- Data Science on GCP and Generative AI fundamentalsintermediate
- Python (Pandas, NumPy, Scikit-learn) and/or Rintermediate
- Machine learning, mathematical optimization (LP, IP, genetic algorithms, RL), NLPintermediate
- MLOps principles, CI/CD, model lifecycle managementintermediate
- Cloud Architecture (AWS, Azure, GCP)intermediate
- RAG, Lang Chain, Llama Index, prompt engineeringintermediate
- Excellent communication and cross-functional collaborationintermediate
Required Qualifications
- 15+ years total experience in data science (experience)
- Bachelor’s or Master’s degree in Computer Science, IT, or related field (experience)
- Proven hands-on expertise in predictive modeling and optimization (experience)
- Strong knowledge of cloud ecosystems and deployment (experience)
Responsibilities
- Understand client business use cases and convert to technical designs
- Map decisions to requirements and translate to developers
- Identify solutions, narrow down best options for client needs
- Define guidelines and benchmarks for NFRs in projects
- Write and review design documents on architecture and frameworks
- Review architecture for extensibility, scalability, security, and best practices
- Develop solutions for functional/non-functional requirements
- Resolve issues through root cause analysis and POCs
Benefits
- general: Work From Anywhere (WFA/Remote) flexibility for better work-life balance
- general: Caring Mindset with emphasis on employee well-being and growth
- general: Fluidic Enterprise model enabling agile career progression
- general: Global opportunities across diverse projects and locations
- general: Collaborative culture fostering innovation in Digital Engineering
- general: Continuous learning through cutting-edge AI and Data Science exposure
Tags & Categories
Answer 10 quick questions to check your fit for Principal Engineer, Data Science - Careers at Nagarro @ Nagarro.
Related Books and Jobs
Principal Engineer, Data Science - Careers at Nagarro
Nagarro
Principal Engineer, Data Science - Careers at Nagarro
Job Description
Principal Engineer, Data Science - Careers at Nagarro
Location: WFA/Remote, India | Job ID: REF43127P
Role Description
REQUIREMENTS: Total experience 15+ years. Hands on working experience in data science with a focus on predictive modelling) (eg. Statistical Analysis, ANOVA, Time series Analysis, Regression Analysis) and optimization. Strong working experience with Data Science on GCP, Generative AI fundamentals. Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn. 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, Lang Chain, Llama Index, and prompt engineering. Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: 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.
Key Responsibilities
- Understand client business use cases and convert to technical designs
- Map decisions to requirements and translate to developers
- Identify solutions, narrow down best options for client needs
- Define guidelines and benchmarks for NFRs in projects
- Write and review design documents on architecture and frameworks
- Review architecture for extensibility, scalability, security, and best practices
- Develop solutions for functional/non-functional requirements
- Resolve issues through root cause analysis and POCs
What You Bring (Qualifications)
- 15+ years total experience in data science
- Bachelor’s or Master’s degree in Computer Science, IT, or related field
- Proven hands-on expertise in predictive modeling and optimization
- Strong knowledge of cloud ecosystems and deployment
Core Skills
Predictive modelling (Statistical Analysis, ANOVA, Time series, Regression), Data Science on GCP and Generative AI fundamentals, Python (Pandas, NumPy, Scikit-learn) and/or R, Machine learning, mathematical optimization (LP, IP, genetic algorithms, RL), NLP, MLOps principles, CI/CD, model lifecycle management, Cloud Architecture (AWS, Azure, GCP), RAG, Lang Chain, Llama Index, prompt engineering, Excellent communication and cross-functional collaboration
Why Nagarro? (Benefits)
- Work From Anywhere (WFA/Remote) flexibility for better work-life balance
- Caring Mindset with emphasis on employee well-being and growth
- Fluidic Enterprise model enabling agile career progression
- Global opportunities across diverse projects and locations
- Collaborative culture fostering innovation in Digital Engineering
- Continuous learning through cutting-edge AI and Data Science exposure
Locations
- WFA/Remote, India
Salary
Salary details available upon request
6,000,000 - 12,960,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Predictive modelling (Statistical Analysis, ANOVA, Time series, Regression)intermediate
- Data Science on GCP and Generative AI fundamentalsintermediate
- Python (Pandas, NumPy, Scikit-learn) and/or Rintermediate
- Machine learning, mathematical optimization (LP, IP, genetic algorithms, RL), NLPintermediate
- MLOps principles, CI/CD, model lifecycle managementintermediate
- Cloud Architecture (AWS, Azure, GCP)intermediate
- RAG, Lang Chain, Llama Index, prompt engineeringintermediate
- Excellent communication and cross-functional collaborationintermediate
Required Qualifications
- 15+ years total experience in data science (experience)
- Bachelor’s or Master’s degree in Computer Science, IT, or related field (experience)
- Proven hands-on expertise in predictive modeling and optimization (experience)
- Strong knowledge of cloud ecosystems and deployment (experience)
Responsibilities
- Understand client business use cases and convert to technical designs
- Map decisions to requirements and translate to developers
- Identify solutions, narrow down best options for client needs
- Define guidelines and benchmarks for NFRs in projects
- Write and review design documents on architecture and frameworks
- Review architecture for extensibility, scalability, security, and best practices
- Develop solutions for functional/non-functional requirements
- Resolve issues through root cause analysis and POCs
Benefits
- general: Work From Anywhere (WFA/Remote) flexibility for better work-life balance
- general: Caring Mindset with emphasis on employee well-being and growth
- general: Fluidic Enterprise model enabling agile career progression
- general: Global opportunities across diverse projects and locations
- general: Collaborative culture fostering innovation in Digital Engineering
- general: Continuous learning through cutting-edge AI and Data Science exposure
Tags & Categories
Answer 10 quick questions to check your fit for Principal Engineer, Data Science - Careers at Nagarro @ Nagarro.
Related Books and Jobs