Python Engineer Jobs in Gurgaon
145 Jobs Found
Solution Engineer Connectivity Platform
Cnh Industrial
Job Title: Solution Engineer Connectivity Platform Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial leads the way in advancing the vital work of farmers and builders worldwide. Our innovative products, from alternative power sources to precision technology, support feeding and sheltering a growing global population. Join a global, collaborative team dedicated to driving customer success through innovation. Job Purpose The Solution Engineer will provide technical leadership and people management to lead product development for the Connectivity platform, supporting IoT platforms such as Azure IoT Hub and ThingWorx. This role involves coordination across internal teams, program managers, and external partners to deliver scalable, secure engineering solutions that meet organizational goals. Key Responsibilities Develop a strategic technical vision and roadmap aligned with market needs and stakeholder objectives. Lead design and management of scalable, secure technical solutions aligned with business strategy. Align product architecture with vision and goals; evaluate technology options and lead decision-making. Collaborate with development teams to deliver features on schedule, adhering to CNHI standards and policies. Provide detailed technical specs and time/effort estimates; ensure non-functional requirements (performance, security) are met. Monitor development progress and communicate status updates to stakeholders. Identify and resolve project constraints, risks, and technical challenges. Facilitate cross-functional collaboration through clear frameworks and coordination. Architect and oversee integration of IoT platforms (Azure IoT Hub, ThingWorx) with enterprise systems. Guide development of secure, real-time, data-intensive IoT applications focusing on telemetry, edge computing, and data streaming. Experience Required 12+ years of industry experience, including 3+ years in a Solution/Enterprise Architect role. Strong foundation in software architecture and engineering principles (OOP, RESTful APIs, Design Patterns). Skilled in business analysis, stakeholder collaboration, and strategic technology planning. Expertise in security, encryption, API design, integration patterns, data architecture, messaging systems, and async programming. Experience developing RESTful APIs using OpenAPI specifications. Proven experience with Microservices architecture, Docker, and Kubernetes. Hands-on experience with Microsoft Azure cloud services and PaaS components. Performance tuning and application optimization skills. Expertise in IoT integration including device provisioning, edge connectivity, data ingestion, and telemetry. Technical Skills Languages & Frameworks: C#, ASP.NET Core, LINQ, JavaScript, HTML5, Angular, Java Authentication & Security: Azure AD, OAuth 2.0 (JWT), SSL/TLS Databases: SQL Server, PostgreSQL, Cosmos DB Caching: Azure Redis Cache Cloud & DevOps: Microsoft Azure (AKS, Blob Storage, Key Vault, APIM, Event Hub, Service Bus, Functions), Azure DevOps, Terraform, Git, GitLab Monitoring: Application Insights, Datadog, ELK Stack IoT Platforms: Azure IoT Hub, ThingWorx Messaging & Streaming: MQTT, Azure Event Hub, Service Bus Topics Testing & Automation: NUnit, xUnit, K6, PowerShell, Python Preferred Qualifications Bachelor s or Master s degree in Computer Science, Computer Engineering, or a related field. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Comprehensive savings and retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility, and family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial where your skills drive innovation and build the future. Qualification : Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field
Prompt Engineer (software Engineer)
Globallogic
Prompt Engineer (Software Engineer) Analyst Location: Gurgaon, India (On-site) Function: Content Engineering Experience: 0-1 years About GlobalLogic GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to some of the world s largest and most innovative companies. Since 2000, we have driven the digital revolution, creating cutting-edge digital products and experiences that transform businesses and industries globally. At GlobalLogic, we prioritize a culture of caring, continuous learning, and balance, fostering an environment where creativity and innovation thrive. Role Overview As a Prompt Engineer, you will focus on designing, developing, and optimizing prompts for natural language understanding systems, especially conversational AI and chatbots. This role requires a strong foundation in Python, data science, and natural language processing, combined with hands-on experience in prompt engineering, deep learning models, and relevant AI frameworks. Key Responsibilities Design and develop effective prompts for conversational AI and NLU systems. Collaborate with engineers and data scientists to integrate and refine prompts. Analyze user behavior and model outputs to enhance prompt quality and response accuracy. Optimize algorithms to improve prompt generation efficiency and effectiveness. Continuously update knowledge on NLP advancements and apply innovative techniques. Test and evaluate prompts for quality, relevance, and user experience improvement. Work cross-functionally to ensure seamless integration of prompts into products. Identify and resolve prompt-related challenges to boost conversational AI performance. Qualifications Bachelor s degree in Artificial Intelligence, Machine Learning, or related field (B.Tech freshers welcome). Strong programming skills in Python and experience with databases and data science methodologies. Proven knowledge of NLP, prompt engineering, and conversational AI or chatbot systems. Familiarity with deep learning concepts including transformers, GANs, VAEs, and large language models (LLMs). Proficiency with AI frameworks such as TensorFlow, PyTorch, and spaCy. Ready to work on-site with rotational shifts (5 working days, 2 weekly offs). Immediate joining preferred. Inclusive, caring culture fostering acceptance and collaboration. Robust learning and development opportunities to accelerate your career growth. Meaningful work on innovative projects shaping the future of AI and digital experiences. Work-life balance with flexible arrangements and supportive policies. A high-trust, ethical organization valuing integrity and transparency. Qualification : Bachelors degree in Artificial Intelligence, Machine Learning, or related field
Senior Backend Engineer/ Tech Lead
Investwell
Senior Backend Engineer / Tech Lead Location: Gurugram, India Type: Full-Time Experience: 6 9 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software platform for financial advisors. Our product suite powers lakhs of daily transactions and enables top financial advisors across the country to guide investors toward achieving their financial goals. If you're passionate about building scalable systems that impact millions, this is your opportunity to shape the future of investing in India. Role Overview We re looking for a Senior Backend Engineer / Tech Lead to join our growing technology team. You will lead backend development initiatives, work on performance-critical services, and contribute to designing highly available, scalable systems. You ll also mentor team members, lead system architecture efforts, and ensure that our platforms run reliably and efficiently. Key Responsibilities Team Leadership: Lead and mentor a team of backend engineers, review code, and ensure best engineering practices. System Design: Architect scalable, secure, and maintainable backend systems. Service Development: Build and maintain RESTful APIs using Node.js and Express.js. Performance Optimization: Ensure sub-second server response times and optimize backend performance. Database Management: Design and manage MySQL, with working knowledge of MongoDB and Elasticsearch data stores effectively. Cloud Infrastructure: Deploy and monitor cloud-based services; ensure system reliability and uptime. Messaging & Indexing: Implement messaging queues and indexing mechanisms for real-time data flows. Technical Communication: Present architectural designs, participate in sprint planning, and collaborate with cross-functional teams. Required Skills & Qualifications 6 9 years of backend development experience with expertise in Node.js, Express.js, and JavaScript. Strong background in system architecture, API design, and complex problem solving. Proficiency in MySQL, with working knowledge of MongoDB and Elasticsearch. Solid understanding of data modeling, caching, and asynchronous processing. Bachelor's degree in Computer Science or equivalent professional experience. Familiarity with DevOps tools, cloud environments, and CI/CD pipelines is a plus. Strong analytical, debugging, and performance tuning skills. Preferred Skills Experience with Python, Java, or additional backend languages. Knowledge of containerization tools (e.g., Docker, Kubernetes). Hands-on experience with message brokers (e.g., RabbitMQ, Kafka). Perks & Benefits 5-day work week with flexible timings. Group medical insurance coverage up to 3 Lakhs for all permanent employees. Fun, collaborative work environment with regular team activities. Complimentary consultations with financial planners for your personal financial journey. Resources and mentorship to help you get started with your own investments. At Investwell, you ll be part of a mission to make quality financial planning accessible to everyone. You ll work with a high-impact team, solve real-world scalability challenges, and play a key role in shaping the future of fintech in India. Qualification : Bachelor's degree in Computer Science or equivalent professional experience.
Backend Engineer
Investwell
Backend Engineer Location: Gurugram, India Type: Full-Time Experience: 1 2 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software provider for financial planners. We empower top advisors across the country to deliver smarter investment strategies by offering tools that help rebalance portfolios, execute high volumes of transactions, and track financial goals. If you're passionate about building tech that transforms the way people invest, we d love to have you on our team. Role Overview We are seeking a motivated and skilled Backend Engineer with a strong foundation in server-side development, API design, and system architecture. As part of our backend team, you will help design and build scalable systems that power critical components of our platform and drive financial decision-making for millions of investors. Key Responsibilities Develop and maintain robust RESTful APIs. Build dynamic, high-performance backend systems using modern frameworks and tools. Ensure high-speed, low-latency server response times. Design and implement various types of data stores relational, document-based, key-value, or graph. Integrate indexing systems and messaging queues as needed. Deploy, monitor, and maintain applications on cloud infrastructure (AWS, Azure, Heroku). Participate in technical design discussions and document solutions. Work closely with frontend developers and product teams to deliver features end-to-end. Required Skills & Experience 1 2 years of backend development experience. Proficient in Node.js, Express.js, and JavaScript. Solid understanding of MySQL, MongoDB, and Elasticsearch. Experience in database design and system architecture. Familiarity with modern web application architecture and cloud services (AWS, Azure, or Heroku). Basic understanding of Docker and containerized applications. Strong problem-solving and algorithmic thinking. B.Tech in Computer Science or equivalent practical experience. Nice to Have Exposure to other backend languages like Python or Java. Hands-on experience with messaging systems like RabbitMQ, Kafka, etc. Some DevOps experience or familiarity with CI/CD pipelines. Perks & Benefits 5-day work week with flexible timings. Free group medical insurance for permanent employees (coverage up to 3 Lakhs). Free consultations with certified financial planners for your personal financial journey. Expert guidance to kickstart your own investment planning. Regular fun activities and a collaborative work culture. As part of Investwell, you ll contribute to software that directly impacts how India invests. You'll gain hands-on experience in building scalable fintech systems, and work alongside experienced engineers and financial experts on industry-leading tools. Qualification : B.Tech in Computer Science or equivalent practical experience.
Senior Data Engineer
Builder.ai
Job Title: Senior Data Engineer Location: Gurugram, Haryana, India Company: Builder.ai About Builder.ai At Builder.ai, we re transforming software development so that anyone regardless of technical expertise or budget can bring their software ideas to life. From startups to global enterprises like BBC, Makro, and Pepsi, we ve empowered thousands of customers around the world. With over $450M in Series D funding, including backing from Microsoft and QIA, and recognition from Fast Company as one of 2023 s Most Innovative Companies in AI, we are scaling rapidly and redefining what s possible in software and AI. Life at Builder.ai We believe in experimentation, ownership, and constant improvement. Our team of 800+ is spread across the globe but united by our shared HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We reward your skills with: Stock options in a hyper-growth company International offsites Unlimited learning opportunities A culture that values diversity, innovation, and impact About the Role As a Senior Data Engineer, you'll be a foundational part of our growing Data & Analytics team. We're not just building pipelines we're engineering the data backbone for an entire platform that powers AI-driven software creation, operational intelligence, and customer solutions. This role will focus on building robust, scalable, and efficient data systems, and working with Data Scientists, Analysts, and Software Engineers to ensure our data infrastructure is best-in-class. What You ll Be Doing Own and operate end-to-end data pipelines across critical business domains Optimize compute, storage, and query performance using modern big data technologies Manage and evolve our CI/CD workflows and data infrastructure Improve data accuracy, integrity, and reliability for mission-critical datasets Collaborate with cross-functional teams (Analytics, AI, Product) to deliver business value Drive best practices in data engineering, architecture, and tooling Lead projects independently while clearly communicating with stakeholders on timelines and expectations Mentor junior data engineers and contribute to a strong data culture Must-Have Experience: Expert in ETL orchestration tools (e.g., Dagster, Airflow, Luigi) Proficient in SQL databases (e.g., Snowflake, PostgreSQL) Deep understanding of big data systems (e.g., Spark, Hadoop, Hive) Strong programming in Python Experience with DBT and data modeling best practices Deep experience with cloud platforms (especially Azure) Familiarity with streaming data systems (e.g., Kafka, Kinesis) Exposure to MLOps and experience delivering clean, usable datasets to AI/ML teams Experience with CI/CD and Agile environments Nice to Have: Background in ML infrastructure or knowledge graphs Experience working in product-led B2B/SaaS organizations Contributions to open-source data tools What You ll Get Quarterly discretionary performance pay Stock options in a $450M-funded scale-up 24 days annual leave + public holidays 2 Builder Family Days + Christmas/New Year break Fully covered private medical insurance Free lunch at our Gurugram HQ Referral bonus scheme Trips abroad and global collaboration Why You Should Join If you re ready to build world-class data systems that power AI at scale, and want to help shape how software will be built in the future this is your moment. Apply today and transform the way software is created one data pipeline at a time.
Senior QA Engineer
Tartanhq
Job Title: Senior QA Engineer Location: Gurugram, India Job Type: Full-Time Experience Level: 5+ Years Overview: We are looking for a highly motivated and skilled Senior QA Engineer with 5+ years of experience to join our dynamic team. In this role, you will have the opportunity to work on challenging and impactful projects, significantly contributing to the success of our products. You will be a key member of the engineering team, collaborating closely with developers, product managers, and designers to deliver high-quality software in a fast-paced, innovative environment. At our company, we value ownership, collaboration, and a proactive approach to problem-solving. We encourage continuous learning and innovation within a supportive and collaborative environment. Key Responsibilities 1. Test Planning & Strategy Develop and execute comprehensive test plans and strategies, including risk assessments and test coverage analysis. Collaborate with the development team to define acceptance criteria and ensure testability of features. Participate in sprint planning and grooming sessions to provide valuable QA input. 2. Test Execution & Automation Design, develop, and maintain automated test scripts using appropriate testing frameworks (e.g., Selenium, Cypress, JUnit). Perform manual and automated testing, including functional, regression, integration, performance, security, and usability testing. Analyze test results, identify, and document defects effectively using bug-tracking tools. 3. Quality Assurance Advocate for quality throughout the entire software development lifecycle, from requirements gathering to release. Proactively identify and mitigate potential quality risks. Contribute to continuous improvement of our testing processes and methodologies. 4. Collaboration & Communication Effectively communicate testing progress, issues, and findings to the development team and other stakeholders. Build and maintain strong relationships with cross-functional teams. Participate in code reviews and provide constructive feedback. 5. Data Analysis Analyze test data and generate comprehensive test reports to track progress and identify trends. Utilize data analysis techniques to improve test effectiveness and efficiency. Qualifications Experience 5+ years of proven experience as a QA Engineer in an agile development environment. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus. Technical Skills Strong understanding of software development principles and methodologies (e.g., Agile, Scrum, DevOps). Proficiency in API testing using tools like Postman, SoapUI, or REST Assured. Familiarity with SQL and scripting languages (e.g., Python, Groovy). Experience with performance and load testing tools (e.g., JMeter, LoadRunner) is a plus. Dynamic Work Environment: Work on challenging projects that have a direct impact on the product s success. Collaborative Culture: Be part of a supportive, collaborative environment that values innovation and continuous learning. Career Growth: Opportunity to contribute to the continuous improvement of processes while growing within a fast-paced organization. Competitive Benefits: Receive competitive compensation and benefits for your hard work. If you are an experienced Senior QA Engineer passionate about ensuring the quality and success of cutting-edge software products, we encourage you to apply now and become a part of our dynamic team.
Principal Engineer - Backend (java)
Ixigo
Principal Engineer - Backend (Java) Location: Gurugram, Haryana, India Employment Type: Full-time About ixigo ixigo is a leading technology company in the Indian travel space, enabling smarter travel decisions for millions of users through AI, machine learning, and data science innovations. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo powers platforms like ixigo, ConfirmTkt, and AbhiBus, helping travelers plan, book, and manage their journeys across rail, air, bus, hotels, and more. As of 2022, ixigo was named among the Top 10 Most Downloaded Travel Apps worldwide, according to data.ai. Headquartered in Gurugram, ixigo also has offices in Bangalore and Hyderabad. Job Description As a Principal Engineer at ixigo, you will play a critical role in the design, planning, development, and deployment of our software applications. You will be responsible for building highly scalable, multi-tier, and distributed server software applications, ensuring their performance, stability, and overall quality. This role requires you to lead, own, and drive projects from concept to deployment, working closely with product managers, designers, and quality teams. If you're a hands-on engineer with a passion for building impactful products and solving complex problems, this is the role for you! Key Responsibilities Product Development: Design, develop, and architect features for existing applications, ensuring scalability, performance, and reliability. Own product modules end-to-end, ensuring that features are delivered on time, with high quality and performance. System Architecture & Performance: Design and implement highly scalable, multi-tier, distributed server applications with a focus on performance, scalability, and availability. Identify, troubleshoot, and resolve issues related to performance, stability, and memory management, using tools like Instruments and Shark. Collaboration: Collaborate with cross-functional teams including Tech, Design, and Quality to build and launch products that meet business objectives. Work directly with developers and product managers to conceptualize, build, test, and release new features. Continuous Improvement: Continuously evaluate new technologies and frameworks to maximize development efficiency and performance. Ensure that best practices are followed across the development life cycle, from design to release and maintenance. Qualifications Required Skills Experience: 5-8 years of professional experience in backend development. Expertise in Java/J2EE technologies. Technical Proficiency: Strong understanding of Java/J2EE, design patterns, and advanced data structures. Proficient in working with relational databases like MySQL or Postgres. Experience with MongoDB, Web services, and REST APIs. Performance & Scalability: Solid experience in designing systems for performance, scalability, and availability. Skilled in memory management, multithreaded programming, and performance optimization using tools like Instruments and Shark. Additional Skills (Good to Have): Familiarity with Python, NodeJS, Redis, and ElasticSearch is a plus. Experience with e-business or e-commerce applications is highly desirable. Experience working in the travel industry or with internet companies will be an advantage. Education: Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs). Behavioral Traits Strong leadership skills with the ability to manage and mentor junior engineers. Ability to work effectively in a fast-paced, dynamic, and informal startup environment. High energy level, self-motivation, and a commitment to driving team goals. Excellent problem-solving and communication skills. Strong interpersonal skills and the ability to work in a collaborative team environment. Impactful Work: Lead critical product features that impact millions of travelers. Innovation Culture: Work in a dynamic environment that fosters innovation, creativity, and collaboration. Career Growth: Accelerate your career in a fast-growing tech company. Competitive Compensation: Attractive salary and benefits package. Work-Life Balance: A supportive and flexible work environment. Qualification : Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs).
Software Qa Engineer 4
Keysight Technologies
Job Title: Software QA R&D Engineer (EDA Software Testing & Quality Assurance) Overview: Keysight Technologies is at the forefront of technological innovation, delivering breakthroughs and trusted insights across electronic design, simulation, prototyping, testing, manufacturing, and optimization. With approximately 15,000 employees globally, we provide world-class solutions across communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets, serving customers in over 100 countries. Learn more about what we do at Keysight. Our award-winning culture drives our vision of where technology can take us, fueling a passion for solving challenging problems with industry-first solutions. Diversity, equity, and inclusion are core to our culture and innovation at Keysight. We believe that when people feel a sense of belonging, they thrive and contribute to creating innovative solutions. We are seeking a Software QA R&D Engineer to join our Keysight R&D Centre in Gurgaon/Bangalore, India. This role is focused on testing and quality assurance of Keysight's EDA software. The Software QA Engineer will play a critical role in ensuring the quality and reliability of Keysight s RF/Microwave, HSD, and Power Electronics solutions through Agile Software Development and comprehensive testing methodologies. Key Responsibilities: Test Plan Development: Develop, execute, and maintain test plans for functionalities in EDA tools. Software Testing & Verification: Validate and test design flows, ensuring seamless integration with other EDA tools. Automation: Design and implement automated test cases using scripting languages like Python or Perl for physical verification workflows, including CI/CD pipelines. Bug Tracking & Documentation: Track and document issues using Jira, collaborating with developers for timely issue resolution. Contribute to project documentation using Confluence for collaboration and knowledge sharing. Version Control: Manage testing frameworks and integrate them with Git for source control, ensuring robust testing processes and traceability for changes. CI/CD & Build Automation: Utilize tools like Jenkins for continuous integration, automating build and test processes to validate frequent tool updates efficiently. Defect Identification & Debugging: Identify, document, and track defects, performing detailed debugging and working with development teams to resolve issues. Customer Support: Reproduce and resolve customer-reported issues related to EDA tools, ensuring enhancements to product quality. Cross-functional Collaboration: Collaborate with foundry partners to validate rule decks and stay updated with new physical verification methodologies, supporting evolving design processes. Qualifications: Education: Bachelor s or Master s degree in Electronics and Telecommunication (ECE), or an equivalent field. Experience: 8+ years in EDA software QA validation, with extensive knowledge in RF Microwave and Physical Verification. Experience creating end-to-end designs within the EDA domain. Tool Expertise: Experience with tools such as Assura, PVS, Calibre (e.g., Cadence, Siemens Mentor, Synopsys, Ansys) in IC/Board/Module design flows. Proficient in Design Rules: Experience developing DRC/LVS/ERC rules for IC/Module/PCB applications using tools like Cadence, Mentor, Synopsys, Ansys. Physical Verification QA Experience: Experience with Physical Verification QA is highly desired. PDK Quality Assurance engineers with Physical Verification experience are encouraged to apply. Scripting & Automation: Strong experience in scripting languages such as Python for automating testing workflows. Proficiency in automated testing tools like Google test and pytest is preferred. Software Build & Test: Experience working with Jenkins for builds and tests on Windows and Linux operating systems. Familiarity with CMake and source code management systems like Git. CI/CD Pipeline: Familiarity with CI/CD pipelines for build automation and testing. Issue Tracking & Collaboration Tools: Strong knowledge of Jira for issue tracking and Confluence for project collaboration. Attention to Detail: Excellent analytical, problem-solving, and debugging skills, with a keen eye for detail. Fast-paced Environment: Ability to work effectively under pressure with tight deadlines. Collaboration: Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Proactive Learner: A proactive attitude towards continuous learning and self-improvement, driven by a passion for software quality and customer satisfaction. Qualification : Bachelors or Masters degree in Electronics and Telecommunication (ECE), or an equivalent field.
Senior Security Engineer (application Security, Threat Modeling)
Gartner
Description: Sr. Security Engineer - Application Security About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the Role: The Sr. Security Engineer will be responsible for supporting Gartner s AppSec function. This individual will play an integral role in, executing daily vulnerability Assessments functions; (ii) working closely with Information Security partners, and technology stakeholders to identify risks/vulnerabilities and collaborate with key stakeholders on remediation, developing and tracking risk/vulnerability remediation and prioritize effort across our various business units, partnering to implement security tools, technologies and controls with an appropriate balance of security, business, and user experience, while providing education and training; and engineer automation solutions and/or security tool integrations to assist with day-to-day AppSec responsibilities. What you ll do: Supports day-to-day life cycle management of identification and remediation of security vulnerabilities and threats to Gartner Systems and Data, partnering with key resources on remediation. Ability to create reasonable and actionable recommendations based on the analysis of vulnerability data and impact to Gartner s security posture. Coordinate the orchestration, automation, and management of security technologies and platforms. Own day-to-day life cycle management, including identification, threat assessment, threat modeling and risk avoidance. Apply technical expertise and skills to develop and implement solutions to meet complex business and technical requirements, working collaboratively across functional areas to turn innovative ideas into reality. Define and implement meaningful metrics to measure the effectiveness of security controls through KRIs and security scorecards. Serve as a subject-matter-expert for Application Security; act as a first point of contact for critical issues, security risk assessments and triaging CI/CD issues with Partners and stakeholders. Evaluate business and technical requirements to identify and implement tools, processes, and technologies to improve our security posture in our environments. Ensure the continuous improvement of existing compliance processes. What you ll need: Strong independent critical thinking, problem-solving skills, and the ability to consistently evaluate and pivot based on the current organizational priorities. Proven Experience Developing and maturing KPI s and Metrics to assess the effectiveness of a Application security program. Must Have: 4+ year s of Technical and Professional Expertise. Proven communication, collaboration, and critical thinking skills. Ability to define and communicate risk in a business-relevant language and to non-technical audiences. Deep technical expertise in at least one additional area of Information Security. Ability to think like a bad actor and use that context to develop threat models. Passion for finding flaws in processes and ability to efficiently communicate recommendations to fix them. Proven ability to communicate and educate Engineering and Architecture teams as to why Information Security is an important function to the business. Nice to Have: Familiarity with technical security controls, guidelines, and frameworks outlined by standards such as SOC2, ISO 27001/27013, NIST 800-53. Ability to automate tasks and code solutions to repetitive problems. Scripting or programming experience (Java, .NET, HTML, Ruby, PHP, Perl, C#, Python, JavaScript, PowerShell, Bash). Experience with penetration testing and web application assessment. Who you are: Proven communication, collaboration, and critical thinking skills. Ability to build trusting, meaningful relationships with peers, stakeholders, partners and suppliers. Ability to define and communicate risk in a business-relevant language to both non-technical and technical audiences. Ability to apply expert knowledge to solve complex business/technical issues strategically. Desire for life-long learning and continuous personal/professional development. Don t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.
Data Engineer (aws Redshift, Kubernetes, Spark And Python)
Synechron
Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
Senior Software Engineer
Capgemini Invent
Job Title: Senior Software Engineer Role Overview: As a Senior Software Engineer, you will play a pivotal role in the design, development, and optimization of software applications and solutions. You will leverage your expertise in software engineering best practices, problem-solving, and innovation to deliver high-quality solutions while mentoring junior team members. This role requires strong technical leadership, autonomy, and a deep understanding of software development lifecycles. Key Responsibilities: Software Development & Optimization: Design, develop, and maintain scalable and high-performance software applications. Apply scientific methods to analyze and solve complex software engineering challenges. Optimize code for performance, security, and maintainability. Technical Leadership & Innovation: Provide mentorship and technical guidance to junior engineers. Drive best practices in software engineering, including code reviews, testing, and DevOps. Lead software architecture discussions and contribute to technical decision-making. Collaboration & Stakeholder Engagement: Work closely with cross-functional teams (Product, Design, QA) to ensure seamless software delivery. Engage with stakeholders to translate business requirements into technical solutions. Communicate complex technical concepts to both technical and non-technical audiences. Process Improvement & Compliance: Ensure adherence to software development methodologies, standards, and security protocols. Identify and implement continuous improvement initiatives to enhance efficiency. Stay up-to-date with emerging technologies and drive innovation within the team. Required Skills & Qualifications: Strong proficiency in software design, development, and architecture. Hands-on experience with modern programming languages and frameworks (e.g., Java, Python, .NET, JavaScript). Expertise in cloud technologies (AWS, Azure, Google Cloud) and DevOps practices. Solid understanding of software testing, CI/CD pipelines, and microservices architecture. Strong problem-solving skills with the ability to work autonomously and lead projects. Excellent communication and collaboration skills to engage with stakeholders and mentor peers. Work on cutting-edge technologies in a collaborative and dynamic environment. Contribute to impactful projects that shape the future of technology. Opportunities for career growth, leadership, and continuous learning. If you are a passionate software engineer looking to take the next step in your career, we d love to hear from you!
Financial Engineer, Alphagen - Vice President
Blackrock
Position: Alpha Gen Product Engineer Job Overview: At BlackRock, we are seeking Software Engineers who thrive in innovative environments and enjoy solving complex challenges. This is an opportunity to work with cutting-edge technology and impact the financial markets through our Aladdin investment operating system, which powers decision-making for thousands of users worldwide. The Alpha Gen Technology group (AGT) is focused on enabling market-leading performance for BlackRock's investment teams. Join a team of innovators to work on next-generation technology in the quantitative and investment space. About Aladdin and Aladdin Engineering: Aladdin is BlackRock s investment operating system, used by financial institutions worldwide. It integrates sophisticated risk analytics, portfolio management, trading, and operations tools into one platform. The Aladdin Engineering group develops and maintains this platform, building tools that manage trillions in assets and support millions of financial instruments. Your Role and Impact: As an Alpha Product Engineer in the Alpha Gen Platform team, you will develop a cloud-first platform used for both quantitative research and production systems. You will be involved in the full lifecycle of the platform, from design and architecture to development, implementation, production support, and maintenance. Your Responsibilities: Build a groundbreaking, high-quality Alpha Gen platform to meet the data and quantitative needs of research and production. Prototype new alpha-enabling technology. Migrate large amounts of critical data to cloud-native data stores like Snowflake and Azure Blob Storage. Understand and address scale challenges in data access and persistence in ingestion pipelines. Work with modern data lakes, structured file formats, containers, and orchestration ecosystems. Partner with other engineering teams at BlackRock to integrate with Aladdin. Qualifications and Skills: 8+ years of proven experience in software engineering. Excellent coding skills in Python; knowledge of Scala or Java is a plus. Experience with distributed technologies like Spark, Dask, or Kubernetes. Desire to build expertise in cloud-native technologies and applications deployed to cloud infrastructure. Familiarity with agile practices, test automation, pipelines, release management, and deployment strategies. Good understanding of the modern data ecosystem Snowflake, Apache Iceberg, Parquet formats, object stores (S3, Azure Blob Storage), and orchestration systems (Airflow, Prefect). A curiosity and passion to learn new technologies. Strong interpersonal skills to work effectively in a collaborative team environment. A deep understanding of the modern data and quantitative ecosystem. How to build a platform that enables alpha generation at scale. Experience with Aladdin the investment platform used to manage over $15 trillion in global assets. How to apply enterprise integration patterns and data science technology to enable alpha generation. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office. About BlackRock: BlackRock is dedicated to helping people experience financial well-being. Our clients rely on us to support their financial goals, including saving for retirement, funding education, and growing their businesses. We invest in our employees by fostering an environment where they feel welcomed, valued, and supported with networks, benefits, and development opportunities to thrive.
Senior Devops Engineer
Sourcefuse
Job Information: Work Experience: 3+ years Industry: IT Services Job Type: FULL TIME Location: Gurgaon Key Responsibilities: Ability to drive the major incident to resolution as Incident commander and involve in the post-mortem process. Identify gaps within the current monitoring infrastructure and create/enhance tools to address them. Perform event root cause analysis using logs, tools, and available documentation. Contribute to documentation to improve resolution time. Assess the impact of the potential client or platform-wide incidents and escalate to the appropriate teams. Timely escalation of problems that could be potential risks. Experience with logging/monitoring tools (Kibana, Grafana, Prometheus, or any other standard monitoring tool). Working understanding of web infrastructure (Load balancers, application servers). Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience). 3+ Years of experience as Devops Engineer. Terraform and CI/CD configuration, pipelines, and jobs. Must have strong knowledge of Terraform. Must have experience in Python. Kubernetes understanding, CLI, service re-provisioning. Must have experience creating Helm charts and performing common k8s maintenance tasks. Minimum 3 years of experience working with containerized applications. Should have hands on experience with AWS Services. Solid understanding of system performance and monitoring. Demanding high availability of service and quality of support service to the customer. Operating system (Linux) configuration, package management, startup, and troubleshooting. Good communication skills with an ability to relay incident details expeditiously, concisely, and accurately. Strong knowledge of infrastructure and application development toward operational support. Highly motivated individual, Self-starter, and a quick learner. Extensive knowledge of Incident/Change/Problem management. Ability to write simple to moderately complex scripts and programs for automation, tools, frameworks, dashboards, alarms. (Python, TypeScript, Bash). Qualification : Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience).
Python/django Developer
Radiansys Technologies
We are looking for an experienced Backend Engineer with excellent development skills in Python and Django framework. Role And Responsibilities: Write effective, scalable code Develop cloud-based Python Django software products Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Participating in architectural, design, and product discussions Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical Required Skills and Capabilities: Bachelor s degree in computer programming, computer science, or a related field Expert in Python with knowledge of Django Web Framework Familiarity with some ORM (Object Relational Mapper) libraries Working knowledge of MongoDB and MySQL Fair understanding of building RESTful APIs Worked with Django application deployment on AWS, Heroku, GCP, Docker platforms Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Understanding of accessibility and security compliance Knowledge of user authentication and authorization between multiple systems, servers, and environments Familiarity with event-driven programming in Python Able to create database schemas that represent and support business processes Strong unit test and debugging skills Proficient understanding of GitHub, JIRA, GSuite Critical thinker and problem-solving skills Great interpersonal and communication skills Qualification : Bachelors degree in computer programming, computer science, or a related field
AI/ML Team Lead
Cnh Industrial
Job Title: AI/ML Team Lead Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial is committed to advancing the vital work of farmers and builders worldwide. Our cutting-edge solutions from alternative power sources to precision technology drive productivity while caring for our planet. Join a collaborative global team passionate about innovation and customer success. Job Purpose Lead the design, development, and deployment of advanced AI/ML and Generative AI solutions to drive innovation and business value. Act as the technical and strategic leader shaping AI initiatives, ensuring scalable and ethical architectures aligned with business goals. Manage cross-functional collaboration and communicate complex concepts clearly to drive adoption. Experience in both POCs and production-grade AI solutions is essential. Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as chatbots, intelligent document processing, code generation, content summarization, and personalization. Customize and fine-tune foundation models (GPT, LLaMA, Claude, Mistral) for domain-specific applications. Evaluate and integrate GenAI frameworks (LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute a Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business teams to prioritize AI use cases. Lead POCs and pilots validating AI ideas before scaling. Ensure secure, ethical, and governed deployment of AI systems. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Azure Focus) Deploy and operationalize models on cloud platforms, especially Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure including vector databases, inference endpoints, and GPU resources for performance and cost-efficiency. Utilize MLOps practices for lifecycle management and reproducibility. Experience Required 8+ years in AI/ML roles with 2+ years focused on Generative AI. Proven hands-on experience with foundation models (GPT-4, Claude, LLaMA) and tooling ecosystems. Proficient in Python and AI/ML libraries such as PyTorch and Hugging Face Transformers. Deep knowledge of prompt engineering, RAG, LLMOps, and model fine-tuning. Experience with vector databases like FAISS, Pinecone, Weaviate, or Azure AI Search. Familiarity with enterprise AI integration via APIs, plugins, and cloud deployment. Preferred Qualifications Bachelor s, Master s, or PhD in Computer Science, Machine Learning, AI, or related fields. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Savings & retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility & family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial innovate for a sustainable future and help build better lives.
Product Analyst - Team Lead (risk)
Paytm
Product Analyst - Team Lead (Risk) Location: Gurugram, Haryana (On-site) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, transforming commerce for millions of small businesses. Our mission is to empower half a billion Indians by bringing them into the mainstream economy using innovative technology. About the Team The Credit Risk Product Team plays a critical role in lending by developing efficient, scalable, and compliant risk assessment models. The team partners with data scientists, engineers, and business stakeholders to refine underwriting processes through advanced analytics and machine learning optimizing loan performance and minimizing defaults. Role Overview We are looking for a detail-oriented Product Analyst to lead credit risk initiatives. In this role, you will implement and optimize credit risk policies while ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance underwriting models and risk decision frameworks. Key Responsibilities Analyze credit risk across multiple credit products, such as credit cards, merchant loans, and personal loans. Collaborate with business teams to understand and implement credit risk policies on the platform. Monitor and evaluate the performance of risk policies; provide actionable feedback to Product and Policy teams. Leverage alternative data sources, machine learning models, and traditional credit assessments to improve risk evaluation. Conduct testing, scenario analysis, and policy resilience measurement. Track key risk indicators (KRIs) and generate insights for management. Ensure compliance with regulatory guidelines and internal risk frameworks. Work with product and technology teams to embed risk-based decision-making into lending workflows. Qualifications 1 2 years of relevant experience, preferably in fintech or banking. Strong proficiency in SQL and Python for data analysis and manipulation. Basic understanding of APIs and streaming platforms like Kafka is a plus. Excellent analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment and collaborate cross-functionally. Educational background: B.Tech from reputed institutes like NIT, BITS, or equivalent. Be part of India s largest fintech lending ecosystem with 500+ million users and 21+ million merchants. Work in a fun, energetic environment designed to help you reach your full career potential. Unique opportunity to shape India s largest digital lending story and drive financial inclusion.
Computer Vision Researcher (3d)
Spyne
Job Title: Computer Vision Researcher (3D) AI & Deep Learning | Spyne (Gurgaon) Location: Gurgaon, India | Work Mode: Full-Time, Onsite | Experience: 1 3 Years Keywords: Computer Vision Jobs India, Deep Learning Researcher, GAN Engineer, AI Research Jobs, ML Engineer, Generative AI Careers About Spyne Spyne is transforming the future of automotive retail with next-gen Generative AI. From AI-powered car visuals to a full-stack ecosystem for online vehicle commerce, we re enabling dealerships to create, price, and market inventory faster and smarter. Backed by $16M Series A funding from top VCs like Vertex Ventures and Accel Rapid expansion across the US and EU markets Achieved 5x revenue growth in 15 months aiming for another 3-4x in 2025 Leading the GenAI wave with AI-driven sourcing, pricing, CRM, and Agentic AI tools Role Overview: Computer Vision Engineer / Researcher We re hiring a passionate Computer Vision Engineer (3D) to join our Research & AI Product team. You ll work on state-of-the-art deep learning models especially GANs to develop and deploy scalable image processing and enhancement pipelines across automotive, e-commerce, food, and real estate domains. You ll play a pivotal role in building innovative AI-powered products that impact millions of images and videos, optimizing workflows for global businesses. Key Responsibilities Research & Experimentation Stay up to date with cutting-edge publications in AI, Computer Vision, and Deep Learning. Prototype innovative approaches from top-tier conferences (CVPR, NeurIPS, ICCV). AI Model Development & Deployment Train, fine-tune, and deploy models for image enhancement, segmentation, and classification using PyTorch/TensorFlow. Work on GAN Architectures Develop and optimize Generative Adversarial Networks (GANs) for image inpainting, background removal, super-resolution, and 3D scene generation. Scalable AI Infrastructure Collaborate with MLOps and Data Engineering teams to build robust AI pipelines on cloud platforms (AWS, GCP, Azure). Cross-Team Collaboration Work closely with Product Managers, Software Engineers, and Data Scientists to align AI capabilities with business goals. Mentorship & Guidance Contribute to a culture of innovation by mentoring junior researchers and participating in peer reviews. Requirements & Qualifications Education & Experience B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred) 1 3 years of hands-on experience in Computer Vision, AI model development, and Deep Learning Technical Skills Deep Learning Frameworks: Strong expertise in PyTorch or TensorFlow Generative Models: Proven experience with GANs for real-world use cases Programming: Proficiency in Python, plus experience in C++ or C# Image Processing Libraries: OpenCV, PIL, NumPy, Scikit-image Cloud Platforms: Hands-on experience deploying models on AWS, GCP, or Azure Research Mindset: Ability to implement novel ideas from AI research papers into practical solutions Soft Skills & Work Ethic Strong analytical and problem-solving capabilities Excellent communication and collaboration skills Comfort in a high-performance, office-first environment (5 days/week) Familiarity with Agile, Git, Jira, and collaborative development tools At Spyne, we empower careers not just fill positions. People-First Culture: Supportive team, open communication, and trust Career Acceleration: Fast growth with performance-based promotions and ownership opportunities Health & Insurance Benefits: Comprehensive GMC, GPA, GTLI coverage for employees and families Continuous Learning: Access to LinkedIn Learning, in-house mentorship, and AI research projects Work from Office Advantage: Real-time innovation, mentorship, and collaboration at our Gurugram HQ Competitive Salary + Equity: High-impact role with potential for stock options If you're excited to work on groundbreaking AI + 3D computer vision products, thrive in a startup environment, and want to shape the future of AI-powered automotive retail, we want to hear from you. Apply now and be part of Spyne s journey as we redefine how the world sees and sells cars! Qualification : B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred)
Computer Vision Researcher (gen Ai)
Spyne
Job Title: Computer Vision Researcher Diffusion Models (Generative AI) Location: Gurugram, India | Work Mode: Full-Time, Onsite (5 Days/Week) Experience: 2+ Years in Generative AI & Computer Vision Who We Are Driving the Future of Automotive AI At Spyne, we re revolutionizing how cars are marketed and sold through cutting-edge Generative AI. What began as a bold idea to automate automotive photography has evolved into a full-stack AI ecosystem that helps dealerships sell faster, smarter, and more visually. Backed by $16M Series A funding (Vertex Ventures, Accel, and more) Expanded into US & EU markets Launched industry-first AI-powered 360 imaging solutions 5x revenue growth in 15 months, targeting 3 4x more this year Pioneering GenAI-powered sourcing, pricing, and CRM for global dealerships Role Overview: Computer Vision Engineer Diffusion Models We re hiring a Computer Vision Researcher with deep expertise in Diffusion Models and Generative AI to push the boundaries of image generation, model fine-tuning, and real-world AI deployment. This is a hands-on research and development role where you will be working with state-of-the-art techniques like Stable Diffusion, ControlNet, and Hypernetworks to build powerful production-ready AI models. Key Responsibilities Fine-Tune Diffusion Models: Optimize diffusion-based architectures for enhanced image quality, realism, and controllability. Prompt Engineering & Output Control: Refine prompt-to-image pipelines using custom prompt engineering strategies. Image Quality Enhancement: Design post-processing and ranking systems to boost visual aesthetics and accuracy. Integrate Advanced AI Models: Combine diffusion models with GANs, Transformers, and other architectures to improve creative outputs. Production-Grade Deployment: Deploy models in scalable environments using Docker, Kubernetes, and cloud services. Cross-Functional Collaboration: Work with researchers, MLOps, and product teams to bring GenAI capabilities into customer-facing platforms. Innovate Continuously: Stay at the forefront of academic and applied AI trends to bring new ideas into Spyne s AI product stack. Ideal Candidate Profile Education & Background B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field 2+ years of experience in Computer Vision, Diffusion Models, and Generative AI Technical Expertise Strong understanding of diffusion models like Stable Diffusion and Denoising Diffusion Probabilistic Models (DDPMs) Hands-on experience with ControlNet, Hypernetworks, LoRA, or similar architectures Proficient in prompt engineering and guided image generation techniques Solid foundation in image processing, deep learning, and model optimization Experience with production AI deployment, including cloud infrastructure, CI/CD, and containerization tools (Docker, Kubernetes) Programming in Python, with experience using PyTorch, TensorFlow, and relevant libraries Soft Skills & Mindset Strong analytical and debugging skills able to troubleshoot models in research and production Excellent communication able to present complex ideas simply A team-first mindset collaborative, adaptable, and ownership-driven Comfortable in a fast-paced, office-first environment focused on innovation and rapid development At Spyne, we build careers, not just roles in an innovation-first, people-centric culture. Employee Benefits & Perks Comprehensive Health & Life Insurance Full coverage for employees and dependents (GMC, GPA, GTLI) Performance-Driven Growth Merit-based career path and ownership opportunities from Day 1 Learning & Development Access to LinkedIn Learning, internal mentorship, and real-world AI challenges Office-First Culture Real-time collaboration, hands-on problem-solving, and innovation that happens faster in person Equity for Top Talent Competitive salary with stock options for high performers If you re a Computer Vision expert passionate about diffusion models, AI research, and bringing GenAI to production, Spyne offers you the platform to build, lead, and grow in one of the fastest-growing AI verticals in the world. Apply Now to be part of Spyne s GenAI journey! Qualification : B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field
Principal Data Scientist
Finbox
Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.
Engineering Manager
Indifi Technologies
Key Responsibilities: Responsible for design, development, testing, troubleshooting, measurement, optimization, and improvement of software, new products, and code libraries across platforms. Partners with cross-functional experts (Product Management, Sales, Design, etc) to determine customer-focused solutions. Leverage best practices, articulate ideas, & markets them across team and organization. Promotes a culture of continuous learning. Leads application/framework/service design efforts, optimizing for quality, testing, and scale. Communicates clearly with team and management to define & achieve goals. What you will need to succeed: B.S. in Computer Science or equivalent engineering degree 7+ years of experience designing and developing web or software application Proven expertise in designing, developing scalable, maintainable, performant, and resilient application. Proven expertise in Java, OOP Principals, clean Design, and Design patterns OR Expert understanding of JQuery, AngularJS, ReactJS, AmberJS and NodeJS Experience in designing and implementing micro-services and RESTful services Expertise with RDBMS (PostgreSQL, MySQL) and NoSQL Database ES, Cassandra, MongoDB. Working Experience with Spring Framework, Kafka, Hibernate, Maven, Ant, Restful Webservices Experience working in Scala or Python is plus Expertise in build management systems and Continuous Integration and Deployment methodologies (Jenkin, Spinnaker, Kubernetes etc) Working knowledge of AWS infrastructure EC2, Auto Scaling, RDS, ELB, S3, Kinesis Qualification : B.S. in Computer Science or equivalent engineering degree.
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