Data Analyst

Client: Capgemini

Location: Hyderabad

Experience: 8+ Years

Senior Software Engineer

As a Senior Software Engineer, you will design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments.
• Contribute to large-scale planning of strategies across Consumer Technology.
• Design, code, test, debug, and document applications and services, including upgrades and deployments.
• Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
• Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
• Lead projects and act as an escalation point, providing direction to less experienced engineers.
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
• Implement prompt engineering, retrieval-augmented generation, fine-tuning, and agentic design patterns.
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
• Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems.
• Assist and mentor engineers in advanced software development and AI engineering practices.
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

Required Qualifications:

• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
• 2+ years of experience working with Generative AI, large language models, or foundation models.
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
• 2+ years of experience with Python.
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Desired Qualifications:

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
• Experience working in highly regulated industries such as financial services.
• Experience as a technical lead or architect, including mentoring senior engineers.
• Experience integrating or contributing to open-source AI or ML projects.
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams.

Preferred Skills and Experience:

• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
• Experience with agentic frameworks and AI workflow orchestration.
• Experience designing applications that incorporate retrieval-augmented generation, fine-tuning, and structured prompting.
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
• Experience with LLM evaluation, observability, and monitoring, including latency, cost, accuracy, grounding, drift detection, and safety assessments.
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services.
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
• Experience optimizing AI application performance, including prompt efficiency, model selection, caching, batching, and cost management.

We are looking for a Senior iOS Developer, who should be able to

1. Strong knowledge on iPad, iPhone And Mobile compatibility developments.
2. Solid understanding of iOS application architecture patterns (e.g., MVC, MVVM).
3. Proficient in working with RESTful APIs and integrating third-party libraries.
4. Strong knowledge of software engineering principles, design patterns, and best practices.
5. Familiarity with agile development methodologies.
6. Excellent problem-solving and analytical skills.
7. Ability to work independently.
8. Strong communication and interpersonal skills.

Title: Product Development Engineer II- BillMe (Razorpay)

About Razorpay :

Razorpay is a rapidly growing platform company powering small and medium scale businesses. We are a finTech startup that emphasizes transparency, collaboration and career growth, with the ability to work on small, nimble teams. The company has rapidly expanded into greenfield areas like neo banking and B2B lending. Our employees are able to create change at scale and have an opportunity to truly disrupt and shape FinTech space. Transaction volumes have been growing at a rapid pace - 5X year-over-year growth over the past few

years.

About Billme (Acquisition of Razorpay) :

BillMe is the world's leading digital billing provider. It was founded by Jai Hemrajani, Kuber Pritmani, and Rupam Jain in 2018. BillMe has now evolved into a "CRM powered by Digital Billing."

BillMe helps over 4000+ businesses like McDonald's, Tata, BurgerKing, and Decathlon send digital bills, collect data, and increase sales and engagement.

BillMe was acquired by Razorpay in 2023. The collaboration between Razorpay and BillMe aims to help retail brands digitalize and seamlessly access omnichannel payment solutions.

Roles & Responsibilities:

To succeed in this role, you’ll need a customer-first attitude and the following:

• A minimum 3 years of hands on experienced in building desktop / client-server applications using programming skill C++, C#, WPF, .NET and SQL
• Good understanding of design patterns.
• Ability to create in depth technical design & implementation of a product feature and work independently on assigned modules
• Utilize version control systems to manage codebase and collaborate with a development team.
• Implement multi-threading and concurrency concepts to enhance application responsiveness.
• Leverage knowledge of Windows architecture for effective software development.
• Utilize SQL databases for data storage and retrieval.
• Develop user-friendly interfaces using WPF (Windows Presentation Foundation).

Qualifications:

• Proficiency in C++, C# and .Net programming languages.
• Proficient understanding of Windows architecture, Rest Api and Git.
• Understanding of  SQL databases will be an added advantage.
• Good experience with WPF (Windows Presentation Foundation).
• Strong problem-solving skills, attention to detail, and proactive attitude.
• Good communication skills in English (verbal and written).

If you are a motivated and skilled Software Developer with expertise in C++, C# and WPF, and you are ready to take on challenging work in a dynamic environment, we encourage you to apply. Join us in creating innovative software solutions that make a difference.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

As someone who will be a part of our team, your understanding of the product and our customers will be incredibly valuable.

Skills Required

• Thorough understanding of React.js and its core principles.
• Experience with popular state management tool -Redux
• Experience with HTTP based packages like Axios.
• GIT experience is a plus

About You

• You take initiative and ownership to see things through to completion. If it needs doing, you do it.
• You’re eager to take on challenges. When you don’t know something, you embrace the chance to grow and get better.
• We work together as a team, and that means we encourage each other to improve as a team. You are self-sufficient and love the challenge of solving problems and learning new things

As a React.js Developer, you will be involved from conception to completion with projects that are technologically sound and aesthetically impressive.

Benefits:

• Food allowance
• Leave encashment
• Paid sick time

• Looking for a highly capable Node.js developer to optimize our web-based application performance.
• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Designing customer-facing UI and back-end services for various business processes.
• Qualification: Bachelor's degree in computer science, information science, or similar.
• Should have 4 years' experience as a node js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Salary is negotiable for right fit.