Role Description Join our innovative team and help us in shaping the future of Technology! - Design, develop, and deploy AI/ML solutions to modernize core pharmacy platforms, with a focus on scalability, reliability, performance, and security. - Leverage Generative AI, LLMs, and agentic AI frameworks to automate and enhance pharmacy workflows and decision-making processes. - Collaborate with business and technical stakeholders to understand pharmacy domain requirements and translate them into robust AI/ML-driven technical solutions. - Contribute to architecture and technical design of AI/ML pipelines, including model selection, data integration, and deployment patterns. - Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes. - Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML engineering practices. - Partner with cross-functional teams including data scientists, product managers, platform engineers, and pharmacy domain experts. - Translate legacy system modernization needs into scalable AI applications that enhance products, workflows, and operational efficiency. - Monitor and optimize AI/ML model performance, resource utilization, and platform reliability. - Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations of AI/ML solutions. - Stay current with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization. Qualifications - 5+ years of experience as a software engineer or AI/ML engineer delivering cloud-based solutions. - 5+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud. - 5+ years of programming experience in Python, Golang, JavaScript, or Java. - 3+ years of hands-on experience with AI/ML frameworks, model development, and deployment. - 3+ years of hands-on experience with Generative AI, LLMs, and agentic AI solutions. - Experience building distributed systems and cloud-native AI/ML applications. - 1+ years of experience with security and compliance in cloud environments. - Strong problem-solving and analytical skills with the ability to propose innovative AI/ML solutions. - Excellent communication and collaboration skills across technical and non-technical teams. Company Description VXForward is a leading technology solutions provider that helps to create a business value with innovative and cost-effective services across different industries. - Exciting Projects, Meaningful Impact - Continuous Learning and Growth - State-of-the-Art Technologies - Collaborative Team Environment - Make a Real Difference - Work-Life Balance

• 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.

Role Description We're looking for great new colleagues to join our team at Nagarro. The role involves: - Understanding the client’s business use cases and technical requirements and converting them into technical design that meets the requirements. - Mapping decisions with requirements and translating them to developers. - Identifying different solutions and narrowing down the best option that meets the client’s requirements. - Defining guidelines and benchmarks for NFR considerations during project implementation. - Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for developers. - Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., ensuring that all relevant best practices are followed. - Developing and designing the overall solution for defined functional and non-functional requirements; defining technologies, patterns, and frameworks to materialize it. - Understanding and relating technology integration scenarios and applying these learnings in projects. - Resolving issues raised during code/review through exhaustive systematic analysis of the root cause and justifying the decisions taken. - Carrying out POCs to ensure that suggested design/technologies meet the requirements. Qualifications - Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Requirements - Total experience: 9+ Years. - Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. - Must have experience in AI/ML architecture design and implementation in data/big data using cloud infrastructure. - 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. - Experience in SQL. - Understanding of MLOps and at least one deployment using technologies such as MLflow, Kubeflow, Docker, Kubernetes, model deployment pipelines. - Experience in designing, developing, and deploying AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration. - Strong understanding of LLMs and foundation models with expertise in designing and building prompts for prompt development and templates. - 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. Company Description Nagarro is a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. Our work culture is dynamic and non-hierarchical.

• Write production Python that powers real-time bidding, model training, and campaign optimization • Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second • Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend • Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution • Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems • Serve as a technical lead and mentor on a distributed engineering team