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Python Backend Developer Location – Gurgaon, Panchkula, Bangalore POSITION SUMMARY We are looking for a highly skilled Python Backend Developer with 6-12 years of experience with backend development, the candidate will drive projects independently while ensuring high code quality and efficiency. The role requires expertise in Python frameworks (Django, Flask), cloud platforms (AWS), and database management (Snowflake), with a strong emphasis on software best practices, problem-solving, and stakeholder collaboration. EXPERIENCE AND REQUIRED SKILL SETS • 6-12 years of backend development experience with Python • Understanding of cloud platforms, particularly AWS. • Proficiency in using Snowflake for database management and optimization. • Experience working with data-intensive applications. • Demonstrated ability to build dynamic and static reports using Python libraries such as Pandas, Matplotlib, or Plotly. • Strong understanding of RESTful APIs and microservices architecture. • Proficiency with Python frameworks like Django, Flask, or Tornado, including basic skills required to develop and maintain applications using these frameworks. • Knowledge of both relational and non-relational databases. • Proficiency with version control systems, especially Git. • Backend Development: Design, develop, and maintain scalable and resilient backend services using Python, ensuring optimal performance and reliability. • Data-Intensive Applications: Develop and manage data-intensive applications, ensuring efficient data processing and handling. • Report Generation: Create dynamic and static reports utilizing common Python libraries (e.g., Pandas, Matplotlib, Plotly) to deliver actionable insights. • Python Frameworks: Utilize frameworks such as Django, Flask, or Tornado to build and maintain robust backend systems, ensuring best practices in application architecture. • Cloud Platforms: Deploy and manage applications on cloud development platforms such as AWS and Beacon, leveraging their full capabilities to support our solutions. • Database Management: Architect, implement, and optimize database solutions using Snowflake to ensure data integrity and performance. • Stakeholder Collaboration: Engage directly with Tech Owners and Business Owners to gather requirements, provide progress updates, and ensure alignment with business objectives. • Ownership & Initiative: Take full ownership of projects, driving them from conception through to completion with minimal supervision. • Software Best Practices: Implement and uphold software development best practices, including version control, automated testing, code reviews, and CI/CD pipelines. • GenAI Tools Utilization: Utilize GenAI tools such as GitHub Copilot to enhance coding efficiency, streamline workflows, and maintain high code quality. • Problem-Solving: Proactively identify, troubleshoot, and resolve technical issues, ensuring timely delivery of solutions. GOOD TO HAVE:  Certifications: AWS Certified Developer or similar cloud certifications.  Industry Experience: Previous experience in the asset management or financial services industry.  Experience with DevOps practices and tools.  Knowledge of security best practices in software development.  Familiarity with Beacon cloud services.  Experience with GenAI tools (e.g., GitHub Copilot) is a plus.  Understanding of Agile/Scrum software development methodologies.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – AI and Data – Data Scientist - Staff Preferred Qualifications Bachelor’s/master’s degree in mathematics, Computer Science, Engineering, or similar disciplines 1-3 years of hands-on Data Science experience with a proven record of successfully deploying projects to production Excellent problem-solving and data analysis skills, with expertise in predictive modeling, statistics, data mining, and machine learning algorithms Strong Python coding skills and flexibility in other coding languages including R. Experience in building powerful visualizations depicting data insights, model performance, and results while leveraging libraries and tools like Plotly, Matplotlib and Power BI Demonstrated expertise in working with SQL and other relational databases for data science purposes Ability to communicate effectively and manage relationships with stakeholders from both technical and non-technical backgrounds Willingness to travel to the Middle East & North Africa (MENA) region based on business needs Industry-specific experience in Oil & Gas or Power & Utilities would be preferred. Responsibilities Work independently as well as in a team environment to deliver end-to-end data science projects within the timeline and budget Collaborate with business stakeholders to comprehend and translate business problems into well-defined data science projects Analyze and interpret complex data sets to identify trends, patterns, and insights thereby creating business value Identify machine learning algorithms and methods best suited to solve specific business problems Design and conduct experiments to validate hypotheses and test assumptions. Effectively communicate findings and recommendations to stakeholders using data visualization tools and techniques Build robust code in Python, R, etc for data science applications Follow industry best practices, and stay up to date with machine learning research, frameworks, tools, and practices. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – AI and Data – Data Scientist - Staff Preferred Qualifications Bachelor’s/master’s degree in mathematics, Computer Science, Engineering, or similar disciplines 1-3 years of hands-on Data Science experience with a proven record of successfully deploying projects to production Excellent problem-solving and data analysis skills, with expertise in predictive modeling, statistics, data mining, and machine learning algorithms Strong Python coding skills and flexibility in other coding languages including R. Experience in building powerful visualizations depicting data insights, model performance, and results while leveraging libraries and tools like Plotly, Matplotlib and Power BI Demonstrated expertise in working with SQL and other relational databases for data science purposes Ability to communicate effectively and manage relationships with stakeholders from both technical and non-technical backgrounds Willingness to travel to the Middle East & North Africa (MENA) region based on business needs Industry-specific experience in Oil & Gas or Power & Utilities would be preferred. Responsibilities Work independently as well as in a team environment to deliver end-to-end data science projects within the timeline and budget Collaborate with business stakeholders to comprehend and translate business problems into well-defined data science projects Analyze and interpret complex data sets to identify trends, patterns, and insights thereby creating business value Identify machine learning algorithms and methods best suited to solve specific business problems Design and conduct experiments to validate hypotheses and test assumptions. Effectively communicate findings and recommendations to stakeholders using data visualization tools and techniques Build robust code in Python, R, etc for data science applications Follow industry best practices, and stay up to date with machine learning research, frameworks, tools, and practices. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

We are seeking an experienced AI Data Analyst with over 7 years of professional experience, showcasing leadership in tech projects. The ideal candidate will possess a strong proficiency in Python, Machine Learning, AI APIs, and Large Language Models (LLMs). You will have the opportunity to work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Your experience should include: - At least 2 years of hands-on experience as a Data Analyst. - Practical experience of at least 1 year with AI systems such as LLMs, AI APIs, or vector-based search. - 2+ years of experience working with Machine Learning models and solutions. - Strong background of 5+ years in Python programming. - Exposure to vector databases like pgvector and ChromaDB is considered a plus. Key Responsibilities: - Conduct data exploration, profiling, and cleaning on large datasets. - Design, implement, and evaluate machine learning and AI models to address business problems. - Utilize LLM APIs, foundation models, and vector databases to support AI-driven analysis. - Construct end-to-end ML workflows starting from data preprocessing to deployment. - Develop visualizations and dashboards for internal reports and presentations. - Analyze and interpret model outputs, providing actionable insights to stakeholders. - Collaborate with engineering and product teams to implement AI solutions across business processes. Required Skills: Data Analysis: - Work with real-world datasets hands-on for at least 1 year. - Proficiency in Exploratory Data Analysis (EDA), data wrangling, and visualization using tools like Pandas, Seaborn, or Plotly. Machine Learning & AI: - Apply machine learning techniques for at least 2 years (classification, regression, clustering, etc.). - Hands-on experience with AI technologies such as Generative AI, LLMs, AI APIs (e.g., OpenAI, Hugging Face), and vector-based search systems. - Knowledge of model evaluation, hyperparameter tuning, and model selection. - Exposure to AI-driven analysis, including RAG (Retrieval-Augmented Generation) and other AI solution architectures. Programming: - Proficiency in Python programming for at least 3 years, with expertise in libraries like scikit-learn, NumPy, Pandas, etc. - Strong understanding of data structures and algorithms relevant to AI and ML. Tools & Technologies: - Proficiency in SQL/PostgreSQL. - Familiarity with vector databases like pgvector, ChromaDB. - Exposure to LLMs, foundation models, RAG systems, and embedding techniques. - Familiarity with cloud platforms such as AWS, SageMaker, or similar. - Knowledge of version control systems (e.g., Git), REST APIs, and Linux. Good to Have: - Experience with tools like Scrapy, SpaCy, or OpenCV. - Knowledge of MLOps, model deployment, and CI/CD pipelines. - Familiarity with deep learning frameworks like PyTorch or TensorFlow. Soft Skills: - Possess a strong problem-solving mindset and analytical thinking. - Excellent communication skills, able to convey technical information clearly to non-technical stakeholders. - Collaborative, proactive, and self-driven in a fast-paced, dynamic environment. If you meet the above requirements and are eager to contribute to a dynamic team, share your resume with kajal.uklekar@arrkgroup.com. We look forward to welcoming you to our team in Mahape, Navi Mumbai for a hybrid work arrangement. Immediate joiners are preferred.,

As a Data Visualization Engineer at Zoetis, Inc., you will be an integral part of the pharmaceutical R&D team, contributing to the development and implementation of cutting-edge visualizations that drive decision-making in drug discovery, development, and clinical research. You will collaborate closely with scientists, analysts, and other stakeholders to transform complex datasets into impactful visual narratives that provide key insights and support strategic initiatives. Your responsibilities will include designing and developing a variety of visualizations, ranging from interactive dashboards to static reports, to summarize key insights from high-throughput screening, clinical trial data, and other R&D datasets. You will work on implementing visual representations for pathway analysis, pharmacokinetics, omics data, and time-series trends, utilizing advanced visualization techniques and tools to create compelling visuals tailored to technical and non-technical audiences. Collaboration with cross-functional teams will be a key aspect of your role, as you partner with data scientists, bioinformaticians, pharmacologists, and clinical researchers to identify visualization needs and translate scientific data into actionable insights. Additionally, you will be responsible for maintaining and optimizing visualization tools, building reusable components, and evaluating emerging technologies to support large-scale data analysis. Staying updated on the latest trends in visualization technology and methods relevant to pharmaceutical research will be essential, as you apply advanced techniques such as 3D molecular visualization, network graphs, and predictive modeling visuals. You will also collaborate across the full spectrum of R&D functions, aligning technology solutions with the diverse needs of scientific disciplines and development pipelines. In terms of qualifications, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors is considered a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is required. Familiarity with data handling tools, omics and network tools, as well as dashboarding and 3D visualization tools, will also be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this position are minimal, ranging from 0-10%. Join us at Zoetis India Capability Center (ZICC) in Hyderabad, and be part of our journey to pioneer innovation and drive the future of animal healthcare.,

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Your Impact You will be developing PlanetView, a Software-as-a-Service platform which helps the financial sector understand and manage climate change risks and quantify carbon emissions. You will work alongside our physical and transition risk modelling teams, following agile processes, to bring analytical approaches and features to production. We work with financial data, terabytes of global climate data and a wide range of environmental, social and corporate governance (ESG) data and integrate them in our class-leading advanced economic models. In this role, you will be responsible to maintain and scale capabilities of Django, Django REST Framework based core application, and several backend microservices which are based on FastAPI and Pydantic. You’ll have the opportunity to significantly influence the design of our backend processes. You will also manage your day-to-day priorities, time and commitments within your team setting while ensuring that technical standards and best practices are exercised. Lastly, you will apply new knowledge and innovation to the existing codebase. At Planetrics, you will be at the forefront of new technologies, applying best practices into development of PlanetView solution. You will deliver a real impact by identifying potential risks and capturing strategic opportunities of different climate-change policies and climate-related technologies worldwide. You will work in the environment that puts sustainability, diversity and digital transformation at the heart of what we do Your Qualifications and Skills Degree in Computer Science, Engineering, Mathematics, Quantitative Methods, or a related field. Proven track record of developing and maintaining production-level code. Strong proficiency in Python, with a focus on writing clean, efficient, and production-ready code. Deep expertise in building enterprise application using Django, Django REST Framework, FastAPI ,and Pydantic frameworks. Extensive experience with relational databases, SQL and Django ORM. Working knowledge of data analytics and visualisation Python libraries such as Pandas, Numpy, Polars, Plotly. Hands-on experience designing and implementing microservice architectures and distributed systems. Practical knowledge of AWS services such as EKS, RDS, Lambda, S3, DynamoDB, ElasticCache, SQS, AWS Batch and S3. Passion for automation, with experience in containerisation (e.g. Docker), shell scripting, and CI/CD pipelines, including GitHub actions. Solid understanding of software engineering best practices throughout the development lifecycle, including Agile methodologies, coding standards, peer code reviews, version control, build processes, testing, and deployment.

The Visualization & Storytelling (Analytics) Engineer is responsible for transforming complex data into compelling visual narratives that drive decision-making and communicate insights effectively. This role combines expertise in data analytics, visualization tools, and storytelling to create impactful dashboards, reports, and presentations that resonate with diverse stakeholders. As a Visualization & Storytelling (Analytics) Engineer, your primary responsibility will be to design and develop interactive dashboards, charts, and visualizations using tools like Tableau, Power BI, Looker, or D3.js. Your work will involve presenting data insights clearly and effectively through visually appealing representations. In addition to data visualization development, you will also be tasked with crafting data-driven narratives that translate complex analytical findings into actionable insights for both technical and non-technical audiences. Collaborating with data analysts and scientists, you will extract, clean, and analyze data from various sources to uncover trends, patterns, and insights that drive informed decision-making. Furthermore, your role will involve close collaboration with business units, product managers, and executives to understand requirements, define key performance indicators (KPIs), and tailor visualizations to meet their specific needs. Leveraging programming languages such as Python, R, and SQL, as well as visualization libraries like Matplotlib, Seaborn, and Plotly, you will build custom visualizations and automate workflows to enhance data storytelling capabilities. The ideal candidate for this role should have expertise in Tableau, Power BI, Python (Matplotlib, Seaborn, Plotly), Flask, Streamlit, and other relevant tools and technologies. This position plays a crucial role in making data easily consumable and actionable, emphasizing the importance of user interface elements and potential collaboration with UI development roles within the organization.,

Overview The Visualization & Storytelling (Analytics) Engineer is responsible for transforming complex data into compelling visual narratives that drive decision-making and communicate insights effectively. This role combines expertise in data analytics, visualization tools, and storytelling to create impactful dashboards, reports, and presentations that resonate with diverse stakeholders. Responsibilities Data Visualization Development: Design and develop interactive dashboards, charts, and visualizations using tools like Tableau, Power BI, Looker, or D3.js to present data insights clearly and effectively. Storytelling with Data: Craft data-driven narratives that translate complex analytical findings into actionable insights for technical and non-technical audiences. Data Analysis: Collaborate with data analysts and scientists to extract, clean, and analyze data from various sources to uncover trends, patterns, and insights. Stakeholder Collaboration: Work closely with business units, product managers, and executives to understand requirements, define KPIs, and tailor visualizations to meet their needs. Tool & Technology Integration: Leverage programming languages (e.g., Python, R, SQL) and visualization libraries (e.g., Matplotlib, Seaborn, Plotly) to build custom visualizations and automate workflows. Requirements Tableau, Power BI, Python (matplotlib, seaborn, plotly), flask, streamlit, others. This is a crucial role to make data (not necessarily models) consumable. You could also put the UI elements here or assign those roles to UI development roles in house. Show more Show less

About the Role You will architect, build and maintain end-to-end data pipelines that ingest 100 GB+ of NGINX/web-server logs from Elasticsearch, transform them into high-quality features, and surface actionable insights and visualisations for security analysts and ML models. Acting as both a Data Engineer and a Behavioural Data Analyst, you will collaborate with security, AI and frontend teams to ensure low-latency data delivery, rich feature sets and compelling dashboards that spot anomalies in real time. Key Responsibilities ETL & Pipeline Engineering: Design and orchestrate scalable batch / near-real-time ETL workflows to extract raw logs from Elasticsearch. Clean, normalize and partition logs for long-term storage and fast retrieval. Optimize Elasticsearch indices, queries and retention policies for performance and cost. Feature Engineering & Feature Store: Assist in the development of robust feature-engineering code in Python and/or PySpark. Define schemas and loaders for a feature store (Feast or similar). Manage historical back-fills and real-time feature look-ups ensuring versioning and reproducibility. Behaviour & Anomaly Analysis: Perform exploratory data analysis (EDA) to uncover traffic patterns, bursts, outliers and security events across IPs, headers, user agents and geo data. Translate findings into new or refined ML features and anomaly indicators. Visualisation & Dashboards: Create time-series, geo-distribution and behaviour-pattern visualisations for internal dashboards. Partner with frontend engineers to test UI requirements. Monitoring & Scaling: Implement health and latency monitoring for pipelines; automate alerts and failure recovery. Scale infrastructure to support rapidly growing log volumes. Collaboration & Documentation: Work closely with ML, security and product teams to align data strategy with platform goals. Document data lineage, dictionaries, transformation logic and behavioural assumptions. Minimum Qualifications: Education – Bachelor’s or Master’s in Computer Science, Data Engineering, Analytics, Cybersecurity or related field. Experience – 3 + years building data pipelines and/or performing data analysis on large log datasets. Core Skills Python (pandas, numpy, elasticsearch-py, Matplotlib, plotly, seaborn; PySpark desirable) Elasticsearch & ELK stack query optimisation SQL for ad-hoc analysis Workflow orchestration (Apache Airflow, Prefect or similar) Data modelling, versioning and time-series handling Familiarity with visualisation tools (Kibana, Grafana). DevOps – Docker, Git, CI/CD best practices. Nice-to-Have Kafka, Fluentd or Logstash experience for high-throughput log streaming. Web-server log expertise (NGINX / Apache, HTTP semantics) Cloud data platform deployment on AWS / GCP / Azure. Hands-on exposure to feature stores (Feast, Tecton) and MLOps. Prior work on anomaly-detection or cybersecurity analytics systems. Why Join Us? You’ll sit at the nexus of data engineering and behavioural analytics, turning raw traffic logs into the lifeblood of a cutting-edge AI security product. If you thrive on building resilient pipelines and diving into the data to uncover hidden patterns, we’d love to meet you. Job Type: Full-time Pay: ₹500,000.00 - ₹1,000,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Work Location: In person

Job Description We are seeking an experienced Staff Software Engineer (AI). In this role, you will be part of the Pathfinding Studio within the Innovation Office. The team is exploring AI/machine learning techniques for various domain-specific problems related to engineering and robotics. Responsibilities: This role requires you to research and develop AI/machine learning models. You will train, fine-tune, or perform in-context learning to develop state-of-the-art AI/machine learning-based models. Activities will involve the identification and preparation of data sets, maintenance of data sets, identifying, using, and developing appropriate model architecture, and delivering the model along with model usage documentation and examples. Additionally, you will work on developing AI models targeting robotics utilizing relevant virtual modeling frameworks. Minimum Qualifications: Experience with multimodal machine learning model development based on structured and unstructured data targeting robotics. Experience with the end-to-end deep learning development life cycle. Ability to understand, analyze, test model behavior, and summarize model performance. Ability to work with AI/ML flow in CPU, embedded CPU, and GPU-based infrastructure in Windows and Linux environments. Ability to select and use appropriate models from the open-source environment in memory and compute-constrained infrastructure. Experience in training, fine-tuning, and in-context learning with multi-modal models and datasets using Python/C/C++. Knowledge of traditional and state-of-the-art machine learning techniques related to NLP, Video, Audio, Generative AI, Code understanding, and generation. Experience with virtual model development using IsaacSim and MuJoCo for robotics. Qualifications Education: Master’s degree in computer science, Electrical Engineering, Computer Engineering, or a similar field with 5 years of relevant experience in end-to-end machine learning development or a PhD with 3 years of relevant experience. Preferred Qualifications: Hands-on expertise in deep learning model development and tuning. Experience with structured and unstructured data manipulation and management for machine learning pipelines. Experience with virtual and physical modeling environments targeting robotics. Experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.). Experience in using open-source model development (e.g., Huggingface, Langchain, etc.). Experience with data processing and UI frameworks (e.g., Pandas, Plotly, SciPy, Flask, Streamlit, or similar). Ability to understand and explain state-of-the-art AI models. Ability to understand and summarize the hardware and software complexity of various AI models. Knowledge of applying AI algorithms in semiconductor design and verification. Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘ To Make Our Lives Easier .’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘ To Make Our Lives Easier .’ At Renesas, you can: Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement . Job title Staff Software Engineer Department Engineering Location Hyderabad Remote No Requisition ID 20020176_2025-07-03

Location: Remote (India, IST time zone) Type: Internship (intensive, problem‑solving focused) Stipend: ₹5,000 – ₹7,000 per month post training period Company: Insight Fusion Analytics Company Overview Insight Fusion Analytics builds data‑driven products across analytics, machine learning, trading, and automation. We ship fast, learn fast, and solve real problems. If you love diving deep, owning outcomes end‑to‑end, and staying wired‑in until the problem is solved, you’ll fit right in. If you’re looking for a comfortable 9–5, consider our other roles. For this team, we want crazy‑passionate problem solvers who thrive on hard challenges and rapid iteration. How This Works Training period: 1 month or less (depending on your pace). Learn our stack, workflows, and push real code—no filler. 48-hour hackathon: Prove your skills under real-world constraints—team or solo. Post-training: You’re eligible for the stipend and real project ownership. Role Overview As a Full‑Stack Developer Intern, you will design, build, and ship features across the stack—frontend, backend, databases, testing, and deployment. You’ll work on internal tools, dashboards, scrapers, APIs, and micro‑services that power analytics and trading applications. This is a hands‑on, ship‑to‑learn role. Expect ownership, code reviews, fast feedback, and real production constraints. What You’ll Do • Build responsive web apps with React/Next.js (or equivalent modern framework). • Develop scalable APIs using Node.js/Express/NestJS (Python FastAPI/Django REST is a plus). • Design schemas and write efficient queries for PostgreSQL/MySQL or MongoDB; use Prisma/TypeORM/SQLAlchemy where relevant. • Implement authentication & authorization (JWT/session, role‑based access control). • Work with queues, background jobs, WebSockets/Server‑Sent Events, and Redis for caching. • Write automated tests (unit, integration, basic e2e with Jest/Vitest/Playwright). • Package and deploy services using Docker; ship to Vercel, Render, Fly.io, AWS, GCP, or Azure. • Instrument logging, error tracking, and basic observability. • Document decisions, create clean READMEs, and follow a lightweight Git workflow. Must‑Have Qualifications • Strong fundamentals in JavaScript/TypeScript, HTML, and CSS. • Practical experience with React (or Next.js) and Node.js. • Comfort with RESTful APIs, JSON, and HTTP basics. • Solid grasp of data structures, algorithms, and SQL. • Ability to debug, profile, and reason about performance. • Bias to action: you can independently read docs, unblock yourself, and deliver. Good to Have • Next.js App Router, server actions, edge/runtime concepts. • Python (FastAPI), or Go for services. • PostgreSQL expertise (migrations, indexes, query plans) and Redis. • Realtime apps (WebSockets), background workers, CRON jobs. • Docker, CI/CD (GitHub Actions), basic cloud infra. • Web scraping with Playwright and ETL pipelines. • Charts/dashboards with Plotly/Recharts/ECharts. How to apply ? 1) Apply for job post and fill the google form. 2) There will be a 48 hour Hackathon . (Team of 2-4, Entry as a team only) For more details : Test Task Challenge (9th August : Tentative Date ) https://www.notion.so/Hiring-Challenge-Full-Stack-Developer-IFA-23e3e5765d2f8070a86edc8c43f05bf3?source=copy_link Join Whatsapp Group for updates : https://chat.whatsapp.com/Ks4XXWYkuJrJknKm38dFKS

As an expectation a fitting candidate must have/be: Ability to analyze business problem and cut through the data challenges. Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval Quick to develop the POCs and transform it to high scale production ready code. Experience in extracting data through complex unstructured documents using NLP based technologies. Good to have : Document analysis using Image processing/computer vision and geometric deep learning Technology Stack: Python as a primary programming language. Conceptual understanding of classic ML/DL Algorithms like Regression, Support Vectors, Decision tree, Clustering, Random Forest, CART, Ensemble, Neural Networks, CNN, RNN, LSTM etc. Programming: Must Have: Must be hands-on with data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy and Object-oriented programming Good to have: Design patterns/System design, cython ML libraries: Must Have: Scikit-learn, XGBoost, imblearn, SciPy, Gensim Good to have: matplotlib/plotly, Lime/sharp Data extraction and handling: Must Have: DASK/Modin, beautifulsoup/scrappy, Multiprocessing Good to have: Data Augmentation, Pyspark, Accelerate NLP/Text analytics: Must Have: Bag of words, text ranking algorithm, Word2vec, language model, entity recognition, CRF/HMM, topic modelling, Sequence to Sequence Good to have: Machine comprehension, translation, elastic search Deep learning: Must Have: TensorFlow/PyTorch, Neural nets, Sequential models, CNN, LSTM/GRU/RNN, Attention, Transformers, Residual Networks Good to have: Knowledge of optimization, Distributed training/computing, Language models Software peripherals: Must Have: REST services, SQL/NoSQL, UNIX, Code versioning Good to have: Docker containers, data versioning Research: Must Have: Well verse with latest trends in ML and DL area. Zeal to research and implement cutting areas in AI segment to solve complex problems Good to have: Contributed to research papers/patents and it is published on internet in ML and DL Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Description / Position Overview This is a key position for our client to help create data-driven technology solutions that will position us as the industry leader in healthcare, financial, and clinical administration. This hands-on Lead Data Scientist role will focus on building and implementing machine learning models and predictive analytics solutions that will drive the new wave of AI-powered innovation in healthcare. You will be the lead data science technologist responsible for developing and implementing a multitude of ML/AI products from concept to production, helping us gain a competitive advantage in the market. Alongside our Director of Data Science, you will work at the intersection of healthcare, finance, and cutting-edge data science to solve some of the industry's most complex challenges. This is a greenfield opportunity within VHT’s Product Transformation division, where you'll build groundbreaking machine learning capabilities from the ground up. You'll have the chance to shape the future of VHT’s data science & analytics foundation while working with cutting-edge tools and methodologies in a collaborative, innovation-driven environment. Key Responsibilities As the Lead Data Scientist, your role will require you to work closely with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors. Your machine learning projects will span the entire healthcare revenue cycle - from clinical encounters through financial transaction completion, extending into back-office operations and payer interactions. You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: • Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood • Claim Denials Prediction - identifying high-risk claims before submission • Payment Amount Prediction - forecasting expected reimbursement amounts • Cash Flow Forecasting - predicting revenue timing and patterns • Patient-Related Models - enhancing patient financial experience and outcomes • Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment • Cloud Platform : AWS (SageMaker, S3, Redshift, EC2) • Development Tools : Jupyter Notebooks, Git, Docker • Programming : Python, SQL, R (optional) • ML/AI Stack : Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow • Data Processing : Spark, Pandas, NumPy • Visualization : Matplotlib, Seaborn, Plotly, Tableau Required Qualifications • Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field • 5+ years of hands-on data science experience with a proven track record of deploying ML models to production • Expert-level proficiency in SQL and Python , with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) • Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) • Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques • Experience with model deployment, monitoring, and MLOps practices • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications • US Healthcare industry experience , particularly in Health Insurance and/or Medical Revenue Cycle Management • Experience with healthcare data standards (HL7, FHIR, X12 EDI) • Knowledge of healthcare regulations (HIPAA, compliance requirements) • Experience with deep learning frameworks (TensorFlow, PyTorch) • Familiarity with real-time streaming data processing • Previous leadership or mentoring experience

Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. Job Description We are seeking an experienced Staff Software Engineer (AI). In this role, you will be part of the Pathfinding Studio within the Innovation Office. The team is exploring AI/machine learning techniques for various domain-specific problems related to engineering and robotics. Responsibilities This role requires you to research and develop AI/machine learning models. You will train, fine-tune, or perform in-context learning to develop state-of-the-art AI/machine learning-based models. Activities will involve the identification and preparation of data sets, maintenance of data sets, identifying, using, and developing appropriate model architecture, and delivering the model along with model usage documentation and examples. Additionally, you will work on developing AI models targeting robotics utilizing relevant virtual modeling frameworks. Minimum Qualifications Experience with multimodal machine learning model development based on structured and unstructured data targeting robotics. Experience with the end-to-end deep learning development life cycle. Ability to understand, analyze, test model behavior, and summarize model performance. Ability to work with AI/ML flow in CPU, embedded CPU, and GPU-based infrastructure in Windows and Linux environments. Ability to select and use appropriate models from the open-source environment in memory and compute-constrained infrastructure. Experience in training, fine-tuning, and in-context learning with multi-modal models and datasets using Python/C/C++. Knowledge of traditional and state-of-the-art machine learning techniques related to NLP, Video, Audio, Generative AI, Code understanding, and generation. Experience with virtual model development using IsaacSim and MuJoCo for robotics. Qualifications Education: Master’s degree in computer science, Electrical Engineering, Computer Engineering, or a similar field with 5 years of relevant experience in end-to-end machine learning development or a PhD with 3 years of relevant experience. Preferred Qualifications Hands-on expertise in deep learning model development and tuning. Experience with structured and unstructured data manipulation and management for machine learning pipelines. Experience with virtual and physical modeling environments targeting robotics. Experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.). Experience in using open-source model development (e.g., Huggingface, Langchain, etc.). Experience with data processing and UI frameworks (e.g., Pandas, Plotly, SciPy, Flask, Streamlit, or similar). Ability to understand and explain state-of-the-art AI models. Ability to understand and summarize the hardware and software complexity of various AI models. Knowledge of applying AI algorithms in semiconductor design and verification. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘ To Make Our Lives Easier .’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘ To Make Our Lives Easier .’ At Renesas, You Can Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Description The Software Engineer II is responsible for designing, developing, and maintaining high-quality, innovative, and fully performing frontend software applications in compliance with industry standards and organizational guidelines. This role involves translating UI/UX designs into clean, efficient code, collaborating with cross-functional teams, and contributing to every stage of the software development lifecycle. The ideal candidate demonstrates technical depth, strong problem-solving ability, and a passion for continuous learning and improvement in frontend development. Note:- Although the role category specified in the GPP is Remote, the requirement is for Hybrid working model from Cummins Pune Office. Key Responsibilities Design, develop, and maintain complex frontend applications using modern JavaScript frameworks (Angular, React, or Vue). Translate UI/UX wireframes into responsive, high-quality code. Optimize web applications for maximum performance and scalability. Collaborate with cross-functional teams (designers, backend developers, QA, DevOps) to define and ship new features. Conduct peer code reviews and mentor junior developers on best practices. Stay up to date with emerging frontend technologies, tools, and frameworks. Analyze, design, code, test, and debug software systems following Cummins' software development lifecycle. Recommend modern development tools, techniques, and computing platforms to improve efficiency. Document technical specifications and provide development support during system implementation. Participate in test planning, validation, and certification of software. Ensure code quality, maintainability, and security, especially in adherence to accessibility and performance standards. Contribute to CI/CD practices and participate in Agile development methodologies. Apply business insights and regulatory compliance considerations in software design. Responsibilities Competencies: Business Insight: Applies knowledge of the business to improve outcomes. Communicates Effectively: Tailors communication for various audiences. Customer Focus: Designs solutions with customer needs in mind. Global Perspective: Applies broad context to technical decisions. Manages Conflict: Resolves issues constructively and collaboratively. Agile Architecture: Understands system structure and guides its evolution. Agile Development: Collaborates across functions to build robust, scalable software. Agile Systems Thinking: Views solutions holistically for long-term success. Agile Testing: Drives quality by embedding testing within Agile cycles. Regulatory Risk Compliance: Ensures solutions comply with legal and industry standards. Solution Functional Fit Analysis & Modeling: Builds and documents scalable solutions aligned with business requirements. Values Differences: Welcomes diverse perspectives and cultural backgrounds. Experience Preferred candidates will have prior experience: Working in Agile environments using iterative delivery methods. Collaborating in cross-functional teams with technical and business stakeholders. Following software engineering best practices throughout the SDLC (coding, version control, code reviews, unit testing, deployments). Managing project timelines, task estimation, and stakeholder communication. Qualifications Required Skills and Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related discipline (or equivalent work experience). 7+ years of hands-on experience in frontend development. Strong proficiency in JavaScript, TypeScript, HTML5, CSS3, and Bootstrap. Expertise in AngularJS (or React/Vue). Deep understanding of RESTful APIs and asynchronous programming. Experience with frontend state management libraries (e.g., NgRx, Redux). Strong understanding of user experience (UX) principles. Excellent debugging and problem-solving skills. Effective verbal and written communication abilities. Team-oriented mindset and collaboration skills. Preferred/Nice To Have Experience with grid frameworks like AG Grid, Kendo UI, or similar. Familiarity with frontend testing tools (e.g., Jasmine, Karma, Jest). Exposure to visualization tools like Plotly or D3.js. Experience with search and indexing tools (e.g., Solr, ElasticSearch, ELK stack). Basic knowledge of Docker and containerization. Familiarity with DevOps and CI/CD pipeline tools. Understanding of accessibility standards and performance optimization. Exposure to cloud platforms such as AWS, Azure, or Google Cloud.

Description The Software Engineer I is responsible for developing high-quality, innovative, and fully performing software that complies with coding standards and technical design. This role involves the design, development, testing, and maintenance of full stack web applications with a strong focus on frontend development. The engineer collaborates across functions to ensure efficient and secure software solutions aligned with business needs. Note:- Although the role category specified in the GPP is Remote, the requirement is for Hybrid working model from Cummins Pune Office. Key Responsibilities Develop and maintain full stack web applications, focusing on frontend development using modern frameworks. Write clean, maintainable, and efficient code while adhering to best practices and coding standards. Collaborate with cross-functional teams including designers, product managers, and QA engineers. Participate in code reviews, share knowledge, and contribute to team growth. Troubleshoot, debug, and optimize application performance. Stay updated on industry trends, emerging technologies, and modern development practices. Document software solutions and create supporting technical materials such as flowcharts and design specifications. Analyze business and technical requirements and translate them into effective software solutions. Engage in systems analysis and recommend improvements to enhance functionality and performance. Ensure compliance with non-functional requirements including performance, scalability, and security. Participate in Agile development practices, including sprint planning and iterative delivery. Responsibilities Skills and Competencies: Business Insight – Understands business context to develop effective solutions. Communicates Effectively – Adapts communication for different audiences. Customer Focus – Builds strong customer relationships and delivers value. Global Perspective – Considers diverse global contexts in decision-making. Manages Conflict – Resolves issues constructively and diplomatically. Agile Development & Systems Thinking – Applies iterative development and holistic systems thinking for optimal outcomes. Agile Testing – Ensures quality and business value through test-driven development. Regulatory & Compliance – Understands risk management and regulatory frameworks. Solution Modeling & Functional Fit Analysis – Creates scalable and compliant technical solutions. Values Differences – Embraces diversity in thought and culture. Education, Licenses, Certifications College, university, or equivalent degree in Computer Science, Engineering, or a related subject. Relevant certifications in software development, cloud platforms, or Agile methodologies are an advantage. This position may require licensing or compliance with export control or sanctions regulations. Experience 3-5 years of professional experience in software development. Experience in Agile environments is preferred. Internships, co-op programs, or other extracurricular software development experience is a plus. Qualifications Required Qualifications: Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field. 3-5 years of hands-on experience in full stack development, with strong frontend expertise. Proficient in JavaScript/TypeScript, HTML5, CSS3, and Bootstrap. Experience with frontend frameworks like React, Angular, or Vue.js. Working knowledge of backend technologies such as Node.js, Express, Python, or Java. Familiar with RESTful API integration and testing using tools like Postman. Understanding of database systems (SQL/NoSQL). Exposure to unit testing frameworks such as JUnit. Experience with version control systems like Git. Comfortable working in Agile environments using tools like Jira and Confluence. Strong problem-solving, communication, and collaboration skills. Nice To Have Experience with cloud platforms like AWS, Azure, or GCP. Exposure to CI/CD pipelines and DevOps practices. Familiarity with frontend grid and charting tools such as AG-Grid, Kendo Grid, Plotly, or D3.js. Understanding of containerization tools like Docker. Knowledge of testing frameworks such as Jest or Mocha.

Hello Visionary! We know that the only way a business thrive is if our people are growing. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? We’re looking for a Full stack Developer(Angular + Python) You’ll make a difference by: Developing and testing high-quality, object-oriented software solutions using Python (FastAPI, Plotly), Angular, TypeScript, and CSS Building and deploying applications in a containerized cloud environment (Docker, Kubernetes, AWS) Working in Agile SAFe teams to implement features, conduct code reviews, and ensure quality delivery Contributing to GitLab CI/CD pipelines and supporting continuous deployment practices Collaborating with international teams to deliver impactful visualization tools for sustainability and performance monitoring You’ll win us over by: Having An engineering degree B.E/B.Tech/MCA/M.Tech/M.Sc with good academic record. 3-6 Years of Experience. Having 3+ years of software development experience with 2+ years in AWS cloud-native app development Bringing solid hands-on experience in Python, Angular, TypeScript, and CSS Familiarity with GitLab CI/CD, Docker, Kubernetes, and AWS Willingness to learn and contribute in other tech stacks (e.g., C#, Go) Strong commitment to clean code, agile practices, and technical excellence Proficiency with tools like Eclipse, IntelliJ, or Visual Studio Code Excellent written and verbal communication skills Bonus Points For: Experience with AWS services (Lambda, DynamoDB, API Gateway, SQS/SNS, CloudWatch) and Terraform Background in test automation, TDD, profiling, and code refactoring Familiarity with Git, SonarQube, and Agile ceremonies (sprint planning, retros, reviews) International collaboration experience in distributed agile teams Certifications in Python, Go, or C# technologies What You’ll Gain: Collaborate with global product teams with 20+ years of technical excellence. Work in a disciplined SAFe Agile environment that values both delivery and work-life balance. Make meaningful contributions to product success in a transparent and empowering culture. Build scalable platforms that support sophisticated modular applications. Create a better #TomorrowWithUs! This role, based in Chennai, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future. At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide. We are dedicated to equality and welcome applications that reflect the diversity of the communities we serve. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and imagination, and help us shape tomorrow Find out more about Siemens careers at: www.siemens.com/careers

Overview The Visualization & Storytelling (Analytics) Engineer is responsible for transforming complex data into compelling visual narratives that drive decision-making and communicate insights effectively. This role combines expertise in data analytics, visualization tools, and storytelling to create impactful dashboards, reports, and presentations that resonate with diverse stakeholders. Responsibilities Data Visualization Development: Design and develop interactive dashboards, charts, and visualizations using tools like Tableau, Power BI, Looker, or D3.js to present data insights clearly and effectively. Storytelling with Data: Craft data-driven narratives that translate complex analytical findings into actionable insights for technical and non-technical audiences. Data Analysis: Collaborate with data analysts and scientists to extract, clean, and analyze data from various sources to uncover trends, patterns, and insights. Stakeholder Collaboration: Work closely with business units, product managers, and executives to understand requirements, define KPIs, and tailor visualizations to meet their needs. Tool & Technology Integration: Leverage programming languages (e.g., Python, R, SQL) and visualization libraries (e.g., Matplotlib, Seaborn, Plotly) to build custom visualizations and automate workflows. Requirements Tableau, Power BI, Python (matplotlib, seaborn, plotly), flask, streamlit, others. This is a crucial role to make data (not necessarily models) consumable. You could also put the UI elements here or assign those roles to UI development roles in house.

Description The Software Engineer II is responsible for designing, developing, and maintaining high-quality, innovative, and fully performing frontend software applications in compliance with industry standards and organizational guidelines. This role involves translating UI/UX designs into clean, efficient code, collaborating with cross-functional teams, and contributing to every stage of the software development lifecycle. The ideal candidate demonstrates technical depth, strong problem-solving ability, and a passion for continuous learning and improvement in frontend development. Note:- Although the role category specified in the GPP is Remote, the requirement is for Hybrid working model from Cummins Pune Office. Key Responsibilities Design, develop, and maintain complex frontend applications using modern JavaScript frameworks (Angular, React, or Vue). Translate UI/UX wireframes into responsive, high-quality code. Optimize web applications for maximum performance and scalability. Collaborate with cross-functional teams (designers, backend developers, QA, DevOps) to define and ship new features. Conduct peer code reviews and mentor junior developers on best practices. Stay up to date with emerging frontend technologies, tools, and frameworks. Analyze, design, code, test, and debug software systems following Cummins' software development lifecycle. Recommend modern development tools, techniques, and computing platforms to improve efficiency. Document technical specifications and provide development support during system implementation. Participate in test planning, validation, and certification of software. Ensure code quality, maintainability, and security, especially in adherence to accessibility and performance standards. Contribute to CI/CD practices and participate in Agile development methodologies. Apply business insights and regulatory compliance considerations in software design. Responsibilities Competencies: Business Insight: Applies knowledge of the business to improve outcomes. Communicates Effectively: Tailors communication for various audiences. Customer Focus: Designs solutions with customer needs in mind. Global Perspective: Applies broad context to technical decisions. Manages Conflict: Resolves issues constructively and collaboratively. Agile Architecture: Understands system structure and guides its evolution. Agile Development: Collaborates across functions to build robust, scalable software. Agile Systems Thinking: Views solutions holistically for long-term success. Agile Testing: Drives quality by embedding testing within Agile cycles. Regulatory Risk Compliance: Ensures solutions comply with legal and industry standards. Solution Functional Fit Analysis & Modeling: Builds and documents scalable solutions aligned with business requirements. Values Differences: Welcomes diverse perspectives and cultural backgrounds. Experience Preferred candidates will have prior experience: Working in Agile environments using iterative delivery methods. Collaborating in cross-functional teams with technical and business stakeholders. Following software engineering best practices throughout the SDLC (coding, version control, code reviews, unit testing, deployments). Managing project timelines, task estimation, and stakeholder communication. Qualifications Required Skills and Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related discipline (or equivalent work experience). 7+ years of hands-on experience in frontend development. Strong proficiency in JavaScript, TypeScript, HTML5, CSS3, and Bootstrap. Expertise in AngularJS (or React/Vue). Deep understanding of RESTful APIs and asynchronous programming. Experience with frontend state management libraries (e.g., NgRx, Redux). Strong understanding of user experience (UX) principles. Excellent debugging and problem-solving skills. Effective verbal and written communication abilities. Team-oriented mindset and collaboration skills. Preferred/Nice To Have Experience with grid frameworks like AG Grid, Kendo UI, or similar. Familiarity with frontend testing tools (e.g., Jasmine, Karma, Jest). Exposure to visualization tools like Plotly or D3.js. Experience with search and indexing tools (e.g., Solr, ElasticSearch, ELK stack). Basic knowledge of Docker and containerization. Familiarity with DevOps and CI/CD pipeline tools. Understanding of accessibility standards and performance optimization. Exposure to cloud platforms such as AWS, Azure, or Google Cloud. Job Systems/Information Technology Organization Cummins Inc. Role Category Remote Job Type Exempt - Experienced ReqID 2417386 Relocation Package No

Description The Software Engineer I is responsible for developing high-quality, innovative, and fully performing software that complies with coding standards and technical design. This role involves the design, development, testing, and maintenance of full stack web applications with a strong focus on frontend development. The engineer collaborates across functions to ensure efficient and secure software solutions aligned with business needs. Note:- Although the role category specified in the GPP is Remote, the requirement is for Hybrid working model from Cummins Pune Office. Key Responsibilities Develop and maintain full stack web applications, focusing on frontend development using modern frameworks. Write clean, maintainable, and efficient code while adhering to best practices and coding standards. Collaborate with cross-functional teams including designers, product managers, and QA engineers. Participate in code reviews, share knowledge, and contribute to team growth. Troubleshoot, debug, and optimize application performance. Stay updated on industry trends, emerging technologies, and modern development practices. Document software solutions and create supporting technical materials such as flowcharts and design specifications. Analyze business and technical requirements and translate them into effective software solutions. Engage in systems analysis and recommend improvements to enhance functionality and performance. Ensure compliance with non-functional requirements including performance, scalability, and security. Participate in Agile development practices, including sprint planning and iterative delivery. Responsibilities Skills and Competencies: Business Insight – Understands business context to develop effective solutions. Communicates Effectively – Adapts communication for different audiences. Customer Focus – Builds strong customer relationships and delivers value. Global Perspective – Considers diverse global contexts in decision-making. Manages Conflict – Resolves issues constructively and diplomatically. Agile Development & Systems Thinking – Applies iterative development and holistic systems thinking for optimal outcomes. Agile Testing – Ensures quality and business value through test-driven development. Regulatory & Compliance – Understands risk management and regulatory frameworks. Solution Modeling & Functional Fit Analysis – Creates scalable and compliant technical solutions. Values Differences – Embraces diversity in thought and culture. Education, Licenses, Certifications College, university, or equivalent degree in Computer Science, Engineering, or a related subject. Relevant certifications in software development, cloud platforms, or Agile methodologies are an advantage. This position may require licensing or compliance with export control or sanctions regulations. Experience 3-5 years of professional experience in software development. Experience in Agile environments is preferred. Internships, co-op programs, or other extracurricular software development experience is a plus. Qualifications Required Qualifications: Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field. 3-5 years of hands-on experience in full stack development, with strong frontend expertise. Proficient in JavaScript/TypeScript, HTML5, CSS3, and Bootstrap. Experience with frontend frameworks like React, Angular, or Vue.js. Working knowledge of backend technologies such as Node.js, Express, Python, or Java. Familiar with RESTful API integration and testing using tools like Postman. Understanding of database systems (SQL/NoSQL). Exposure to unit testing frameworks such as JUnit. Experience with version control systems like Git. Comfortable working in Agile environments using tools like Jira and Confluence. Strong problem-solving, communication, and collaboration skills. Nice To Have Experience with cloud platforms like AWS, Azure, or GCP. Exposure to CI/CD pipelines and DevOps practices. Familiarity with frontend grid and charting tools such as AG-Grid, Kendo Grid, Plotly, or D3.js. Understanding of containerization tools like Docker. Knowledge of testing frameworks such as Jest or Mocha. Job Systems/Information Technology Organization Cummins Inc. Role Category Remote Job Type Exempt - Experienced ReqID 2417316 Relocation Package No

Design, develop, and implement machine learning models, including deep learning, reinforcement learning, and predictive modelling. Leverage frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development. Work on NLP projects utilizing tools like NLTK, Langchain, and large language models (GPT and LLAMA). Perform data preprocessing, cleaning, and transformation for machine learning pipelines. Conduct data exploration and statistical analysis to derive actionable insights. Utilize tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations. Deliver engaging online and offline training sessions on AI, ML, Deep Learning, and related tools Create course materials, hands-on projects, quizzes, and assignments Guide students on capstone projects and assessments Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) artificial intelligence: 2 years (Preferred) Work Location: In person

Manager EXL/M/1435552 ServicesGurgaon Posted On 28 Jul 2025 End Date 11 Sep 2025 Required Experience 5 - 10 Years Basic Section Number Of Positions 1 Band C1 Band Name Manager Cost Code D013514 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1500000.0000 - 2500000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Analytics - UK & Europe Organization Services LOB Analytics - UK & Europe SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill JAVA HTML Minimum Qualification B.COM Certification No data available Job Description Job Description: Senior Full Stack Developer Position: Senior Full Stack Developer Location: Gurugram Relevant Experience Required: 8+ years Employment Type: Full-time About the Role We are looking for a Senior Full Stack Developer who can build end-to-end web applications with strong expertise in both front-end and back-end development. The role involves working with Django, Node.js, React, and modern database systems (SQL, NoSQL, and Vector Databases), while leveraging real-time data streaming, AI-powered integrations, and cloud-native deployments. The ideal candidate is a hands-on technologist with a passion for modern UI/UX, scalability, and performance optimization. Key Responsibilities Front-End Development Build responsive and user-friendly interfaces using HTML5, CSS3, JavaScript, and React. Implement modern UI frameworks such as Next.js, Tailwind CSS, Bootstrap, or Material-UI. Create interactive charts and dashboards with D3.js, Recharts, Highcharts, or Plotly. Ensure cross-browser compatibility and optimize for performance and accessibility. Collaborate with designers to translate wireframes and prototypes into functional components. Back-End Development Develop RESTful & GraphQL APIs with Django/DRF and Node.js/Express. Design and implement microservices & event-driven architectures. Optimize server performance and ensure secure API integrations. Database & Data Management Work with structured (PostgreSQL, MySQL) and unstructured databases (MongoDB, Cassandra, DynamoDB). Integrate and manage Vector Databases (Pinecone, Milvus, Weaviate, Chroma) for AI-powered search and recommendations. Implement sharding, clustering, caching, and replication strategies for scalability. Manage both transactional and analytical workloads efficiently. Real-Time Processing & Visualization Implement real-time data streaming with Apache Kafka, Pulsar, or Redis Streams. Build live features (e.g., notifications, chat, analytics) using WebSockets & Server-Sent Events (SSE). Visualize large-scale data in real time for dashboards and BI applications. DevOps & Deployment Deploy applications on cloud platforms (AWS, Azure, GCP). Use Docker, Kubernetes, Helm, and Terraform for scalable deployments. Maintain CI/CD pipelines with GitHub Actions, Jenkins, or GitLab CI. Monitor, log, and ensure high availability with Prometheus, Grafana, ELK/EFK stack. Good to have AI & Advanced Capabilities Integrate state-of-the-art AI/ML models for personalization, recommendations, and semantic search. Implement Retrieval-Augmented Generation (RAG) pipelines with embeddings. Work on multimodal data processing (text, image, and video). Preferred Skills & Qualifications Core Stack Front-End: HTML5, CSS3, JavaScript, TypeScript, React, Next.js, Tailwind CSS/Bootstrap/Material-UI Back-End: Python (Django/DRF), Node.js/Express Databases: PostgreSQL, MySQL, MongoDB, Cassandra, DynamoDB, Vector Databases (Pinecone, Milvus, Weaviate, Chroma) APIs: REST, GraphQL, gRPC State-of-the-Art & Advanced Tools Streaming: Apache Kafka, Apache Pulsar, Redis Streams Visualization: D3.js, Highcharts, Plotly, Deck.gl Deployment: Docker, Kubernetes, Helm, Terraform, ArgoCD Cloud: AWS Lambda, Azure Functions, Google Cloud Run Monitoring: Prometheus, Grafana, OpenTelemetry Workflow Workflow Type Back Office

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Analyst, Inclusive Innovation & Analytics, Center for Inclusive Growth Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. The Center for Inclusive Growth is the social impact hub at Mastercard. The organization seeks to ensure that the benefits of an expanding economy accrue to all segments of society. Through actionable research, impact data science, programmatic grants, stakeholder engagement and global partnerships, the Center advances equitable and sustainable economic growth and financial inclusion around the world. The Center’s work is at the heart of Mastercard’s objective to be a force for good in the world. Reporting to Vice President, Inclusive Innovation & Analytics, the Analyst, will 1) create and/or scale data, data science, and AI solutions, methodologies, products, and tools to advance inclusive growth and the field of impact data science, 2) work on the execution and implementation of key priorities to advance external and internal data for social strategies, and 3) manage the operations to ensure operational excellence across the Inclusive Innovation & Analytics team. Key Responsibilities Data Analysis & Insight Generation Design, develop, and scale data science and AI solutions, tools, and methodologies to support inclusive growth and impact data science. Analyze structured and unstructured datasets to uncover trends, patterns, and actionable insights related to economic inclusion, public policy, and social equity. Translate analytical findings into insights through compelling visualizations and dashboards that inform policy, program design, and strategic decision-making. Create dashboards, reports, and visualizations that communicate findings to both technical and non-technical audiences. Provide data-driven support for convenings involving philanthropy, government, private sector, and civil society partners. Data Integration & Operationalization Assist in building and maintaining data pipelines for ingesting and processing diverse data sources (e.g., open data, text, survey data). Ensure data quality, consistency, and compliance with privacy and ethical standards. Collaborate with data engineers and AI developers to support backend infrastructure and model deployment. Team Operations Manage team operations, meeting agendas, project management, and strategic follow-ups to ensure alignment with organizational goals. Lead internal reporting processes, including the preparation of dashboards, performance metrics, and impact reports. Support team budgeting, financial tracking, and process optimization. Support grantees and grants management as needed Develop briefs, talking points, and presentation materials for leadership and external engagements. Translate strategic objectives into actionable data initiatives and track progress against milestones. Coordinate key activities and priorities in the portfolio, working across teams at the Center and the business as applicable to facilitate collaboration and information sharing Support the revamp of the Measurement, Evaluation, and Learning frameworks and workstreams at the Center Provide administrative support as needed Manage ad-hoc projects, events organization Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Public Policy, or a related field. 2–4 years of experience in data analysis, preferably in a mission-driven or interdisciplinary setting. Strong proficiency in Python and SQL; experience with data visualization tools (e.g., Tableau, Power BI, Looker, Plotly, Seaborn, D3.js). Familiarity with unstructured data processing and robust machine learning concepts. Excellent communication skills and ability to work across technical and non-technical teams. Technical Skills & Tools Data Wrangling & Processing Data cleaning, transformation, and normalization techniques Pandas, NumPy, Dask, Polars Regular expressions, JSON/XML parsing, web scraping (e.g., BeautifulSoup, Scrapy) Machine Learning & Modeling Scikit-learn, XGBoost, LightGBM Proficiency in supervised/unsupervised learning, clustering, classification, regression Familiarity with LLM workflows and tools like Hugging Face Transformers, LangChain (a plus) Visualization & Reporting Power BI, Tableau, Looker Python libraries: Matplotlib, Seaborn, Plotly, Altair Dashboarding tools: Streamlit, Dash Storytelling with data and stakeholder-ready reporting Cloud & Collaboration Tools Google Cloud Platform (BigQuery, Vertex AI), Microsoft Azure Git/GitHub, Jupyter Notebooks, VS Code Experience with APIs and data integration tools (e.g., Airflow, dbt) Ideal Candidate You are a curious and collaborative analyst who believes in the power of data to drive social change. You’re excited to work with cutting-edge tools while staying grounded in the real-world needs of communities and stakeholders. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Analyst, R Programmer-2 Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company’s product suites About The Role We are looking for an R programmer to join Mastercard’s Economics Institute, reporting to the team lead for Economics Technology. An individual who will: create clear, compelling data visualisations that communicate economic insights to diverse audiences develop reusable R functions and packages to support analysis and automation create and format analytical content using R Markdown and/or Quarto design and build scalable Shiny apps develop interactive visualisations using JavaScript charting libraries (e.g. Plotly, Highcharts, D3.js) or front-end frameworks (e.g. React, Angular, Vue.js)work with databases and data platforms (eg. SQL, Hadoop) write clear, well-documented code that others can understand and maintain collaborate using Git for version control All About You proficient in R and the RStudio IDE proficient in R packages like dplyr for data cleaning, transformation, and aggregation familiarity with dependency management and documentation in R (e.g. roxygen2) familiar with version control concepts and tools (e.g. Git, GitHub, Bitbucket) for collaborative development experience writing SQL and working with relational databases creative and passionate about data, coding, and technology strong collaborator who can also work independently organized and able to prioritise work across multiple projects comfortable working with engineers, product owners, data scientists, economists Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Main Responsibilities Participating in the design and development of end-to-end data science analytics solutions using associated technologies Independent development of the problem solution steps and coding functionalities and its implementation by analysis of input and desired output Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets. Job Requirement Bachelor’s or Master’s degree in Computer Science, Data science, Data Analytics or a similar fields 2-4 years of working experience Advance knowledge in Python programming and experiences in data science using Python (familiar with the libraries Pandas, Scikit-learn, Streamlit, SpaCy, Gensim, NLTK, re, Plotly, Matplotlib, huggingface, transformer, openai, Langchain) Professional experience in the development of web applications such as WebApps and REST APIs with JavaScript frameoworks and with Python Experience with PowerApps and PowerAutomate Experience with data visualization techniques such as PowerBI etc. Experience in Machine Learning especially in the field of supervised machine learning and classification (create, train, apply classifier and evaluate results) Experience in regular expressions and natural language processing creating preprocessing pipelines) Familiar with and comfortable using the latest technological tools, including ChatGPT Working experience with LLMs (incorporate LLMs in WebApps to solve business tasks) and creating prompts for various tasks utilizing Langchain Primary location BASF Innovation campus at Turbhe, Navi Mumbai Job Information technology/Service