Total 12 job vacancies by Nagarro

REQUIREMENTS:

• Experience: 7+ Years
• Proficiency in data mining and extracting usable data from various sources.
• Experience with machine learning tools for feature selection, classifier creation, and optimization.
• Strong skills in data preprocessing, including handling structured and unstructured data.
• Ability to enhance data collection procedures to gather relevant information for analytics.
• Expertise in data processing, cleansing, and validation to ensure data integrity.
• Analytical skills to analyze large datasets and identify patterns and solutions.
• Experience in developing prediction systems and machine learning algorithms.
• Effective communication skills to present results clearly.
• Problem-solving skills to propose solutions and strategies for business challenges.
• Collaboration skills to work effectively with Business and IT 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.

REQUIREMENTS:

• Experience: 13+ Years
• Proficiency in programming languages such as Python, R, or Scala.
• Experience in Gen AI techniques, including RAG and prompt engineering.
• Strong knowledge of predictive modeling techniques.
• Experience with optimization algorithms and tools.
• Strong knowledge of statistical analysis, machine learning, and data mining techniques.
• Experience with data manipulation and visualization libraries.
• Familiarity with distributed computing frameworks and cloud platforms.
• Strong analytical and problem-solving skills.
• Excellent leadership and interpersonal skills.
• Excellent verbal and written communication skills.
• Demonstrated ability to adapt to changing priorities.

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.

REQUIREMENTS:

• Experience: 7+ Years
• Handson experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems.
• Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn.
• Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems.
• Excellent problem-solving skills, with a creative and analytical mindset.
• Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels.
• Experience with AI ethics and responsible AI practices

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.

REQUIREMENTS:

• Experience: 5+ Years
• An R Developer is responsible for building and implementing statistical models, algorithms, and data-driven solutions using R.
• They analyze large datasets, perform data cleaning and transformation, and create visualizations to support decision-making.
• The developer collaborates with data scientists, analysts, and stakeholders to meet project requirements, generating reports, dashboards, and automated processes using tools like RMarkdown and Shiny.
• They also optimize R code for performance, develop reusable R packages, and maintain code repositories.
• Documentation of workflows and adherence to coding best practices are essential, along with continuous learning to stay updated on advancements in R and data science methodologies.

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.