Get To Know Us First! Freecharge a subsidiary of Axis Bank Limited founded in 2010, is a Fin-Tech organisation revolutionizing Financial Products through technology. At our core, we're a creative company. Ideas and pixels is where we live and we love building magical products that make our users feel 'wow'. At Freecharge, you'll have the chance to do the best work of your life. We're on a journey to build something new, something different and something innovative & that requires passion to build such incredible products. Come join us and shape the future of Fin-Tech. Do You Make The Cut? If you enjoy pushing boundaries, challenging the status quo, and working with the latest technologies. Then you might be the right team member we are looking for! We're looking for an Automation Engineer to focus on product's quality and performance. You will run the tests across all our products releases and report any issues found to the corresponding development teams. We are involved in 80% in automation testing and 20% in manual testing. We treat our test automation as a first-class product, with development processes and code quality. Title : Lead Software Development Engineer In Test Location : Gurugram Experience : 4 Yrs - 7 Years Education : Bachelor's / Master's in Software Engineering Responsibilities Work closely with the Developers and seniors to achieve a high level of code coverage. You create the necessary automation library and framework. Implementing and maintaining automated test suites for daily runs and regression. Involved in integration tests, API tests, UI tests, and system tests. Excellent debugging skills, measures, and analyses code for quality. Create the test plan, scripting and execution. Maintain your test suits in bitbucket repository. Doing the code review of your peer groups. Involved in end to end testing for modules. Sounds Like You? Experience with Java coding and OOPs is must. Expertise in Data structures & algorithm. Experience with tools like Selenium or Appium. Should have worked on API Testing using Rest Assured/HTTP client. Knowledge of working with databases (MySql/NoSql). Worked with versioning tool like Git. Experience in CI/CD and Jenkins for testing deployment. Proven track record in a high-speed product development environment. Skills Must Have : API Automation through REST Assured or any other library Core Java Selenium Automation Framework creation from scratch Code Reviews Data Structure and Algorithms Team Handling experience (ref:hirist.tech) Show more Show less

Role & responsibilities Team Handling Preferred candidate profile Experience in QR,Merchant Loans and LAP

Job Title: Executive/Senior Executive HR Analytics & Vendor Management Location: Gurugram Department: Human Resources Job Summary: We are looking for a proactive and detail-oriented resource to join our HR team on a contract basis. The ideal candidate should have strong proficiency in MS Excel, a solid understanding of HR analytics, and hands-on experience in vendor coordination and management. This role will support data-driven decision-making and assist in managing HR vendors to ensure seamless operations. Key Responsibilities: • Work with large HR data sets to generate reports and insights using Excel and other tools. • Develop dashboards, trackers, and analytics reports to support HR planning and strategy. • Coordinate with internal teams and external vendors to manage contracts, performance, and service delivery. • Track and report on vendor SLAs, invoice processing, and compliance requirements. • Support HR teams in preparing monthly, quarterly, and ad-hoc reports related to headcount, attrition, recruitment, etc. • Ensure data accuracy, confidentiality, and compliance with company policies and legal requirements. • Assist in audits and internal reviews by providing required HR analytics and vendor documentation. Skills and Qualifications: • MBA/PGDM in HR • 4-6 years of relevant experience in HR analytics and vendor management. • Advanced MS Excel skills (e.g., VLOOKUP, Pivot Tables, Charts, Formulas, Dashboards). • Good understanding of HR processes, metrics, and reporting standards. • Experience in working with vendors and third-party service providers. • Strong attention to detail and analytical mindset. • Excellent communication and coordination skills.

Job Title: Recruitment Intern Location: Gurgaon-Hybrid Duration: 3-6 Months About the Role: Were looking for a dynamic and detail-oriented Recruitment Intern to support our Talent Acquisition (TA) team. This role is ideal for someone who wants to gain hands-on experience in recruitment operations, coordination, and sourcing. Key Responsibilities: Assist with interview scheduling and coordination between candidates and interview panels. Maintain and update recruitment trackers and dashboards (MIS) with accuracy and timeliness. Help in sourcing candidate profiles using job boards, LinkedIn, and internal databases. Coordinate offer rollouts and document collection processes. Ensure timely follow-ups with candidates and internal stakeholders. Support ad hoc tasks and reporting needs of the TA team. Requirements: Graduate or currently pursuing graduation/post-graduation in HR or a related field. Strong communication and coordination skills. Good knowledge of MS Excel/Google Sheets. Familiarity with LinkedIn or other job portals is a plus. Detail-oriented with good organizational and time management skills. What You’ll Gain: Real-world exposure to end-to-end recruitment processes. Experience working in a fast-paced TA team. Opportunities to interact with hiring managers and cross-functional teams. Insight into HR tools, ATS systems, and sourcing strategies.

Freecharge is a well-known name in the world of payment apps, serving over 100 million users across the country. A 100% subsidiary of Axis Bank, Freecharge has always been known for offering safe and seamless UPI payments, utility bill payments, mobile/DTH recharges, and much more. Moreover, users can easily make payments at offline or online merchants via a robust infrastructure that supports UPI, Debit/ Credit Cards, Wallet, and other options. Freecharge even offers multiple Axis Bank Credit Cards and is constantly building new products to support small and midsize retailers across payments and lending. For more details, please visit https://www.freecharge.in or download the Freecharge app. Job Title: Manager/Senior Manager – Payroll Operations / Individual Contributor – Payroll Management Location: Gurugram Department: Human Resources Job Summary: We are looking for a highly skilled and experienced Payroll Specialist to lead and manage end-to-end payroll operations for the organization. This is an individual contributor role that requires deep expertise in payroll processing, financial reporting, audit compliance, and vendor management . The ideal candidate will have a strong understanding of payroll regulations, tax laws, and statutory requirements, along with the ability to collaborate across functions and ensure accurate, timely, and compliant payroll execution. Key Responsibilities: Payroll Management: Independently manage the complete end-to-end payroll cycle , including salary processing, variable components, incentives, and final settlements. Ensure accuracy and timeliness in payroll disbursement, adhering to company policies and statutory requirements. Maintain all payroll records, reports, and documentation with high accuracy and confidentiality. Statutory Compliance: Ensure adherence to applicable labor laws and statutory obligations (e.g., PF, ESI, PT, LWF, Gratuity, TDS). Handle tax computations, exemptions, deductions, and timely submission of statutory returns and challans. Stay updated with changes in compliance requirements and implement necessary changes in payroll processes. Financial Reporting & Audit Management: Prepare and validate payroll-related financial reports for Finance and HR leadership. Lead internal and external payroll audits , ensuring compliance with regulatory standards and audit readiness. Drive periodic reconciliations and reporting to ensure payroll integrity and compliance. Vendor & System Management: Coordinate with external payroll vendors to manage processing, compliance, and query resolution. Monitor vendor SLAs, raise issues as needed, and ensure seamless integration with internal systems. Support system enhancements and upgrades related to payroll tools and platforms. Employee Support & Query Resolution: Serve as the primary point of contact for payroll-related employee queries. Resolve discrepancies and provide clarity on compensation, tax deductions, and statutory matters. Skills and Qualifications: 10+ years of hands-on experience in managing end-to-end payroll operations in a mid-to-large organization. In-depth knowledge of Indian payroll laws, statutory compliance , and taxation . Strong expertise in financial reporting, payroll audits , and reconciliation processes. Proven experience in managing and collaborating with payroll vendors . Proficiency in advanced MS Excel and payroll software (e.g., SAP, ADP, Oracle, etc.). Excellent problem-solving, communication, and stakeholder management skills. High attention to detail, with a strong commitment to confidentiality and data accuracy. Show more Show less

Title : Principal Engineer (Backend-Java) Location : Gurugram Work Mode : Hybrid Experience : 8-12 Yrs Education : Bachelor's / Master's in Software : Ensure the quality of architecture and design of systems by serving as a technical lead on our most demanding, cross-functional teams. Functionally decompose complex problems into simple, straight-forward solutions Leverage knowledge of internal and industry in design decisions and have zeal & drive to take end to end ownership. Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience. Build performant, scalable, yet secure, enterprise-ready cost-effective back end architectures that can support millions of users in parallel while re-architecting the existing problems. Lead design and development of products working closely with the business team. Independently own software components and co-own entire applications with a small group of fellow developers and review codes Should have experience of working with Product Management to create product roadmaps functional specifications, design specification of features based on customer/product requirements Research, experiment, and recommend new technologies that can help increase productivity/reduce technical risk or debt. Sounds Like You ? 8+ years of software development experience with Enterprise Java (JDK 8 and above), Spring (Boot, MVC, AOP, DI), ORM Frameworks. 4+ years of experience contributing to the architecture, and design (LLD, HLD, OO design patterns, reliability, and scaling) of new and current systems. Strong experience in data structures & algorithms, and their space & time complexities. Strong working experience in an agile environment and technically leading the team of developers and reviewing codes. Experience in high traffic, highly scalable, microservices, distributed system designs. Experience working with microservices-based architecture. Hands-on experience working with Databases like SQL & NoSQL Hands-on experience working with caches like Ehcache, Redis, etc. Solid understanding of multithreading, MVC, and strong OO skills with demonstrated experience in developing complex and reusable APIs and understanding of the full software development life cycle. (ref:hirist.tech) Show more Show less

Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis And Visualization Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication And Collaboration A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech) Show more Show less

Title : Principal Engineer (Backend-Java) Location : Gurugram Work Mode : Hybrid Experience : 8-12 Yrs Education : Bachelor's / Master's in Software Engineering If you are interested in the opportunity please fill your details via the google form link mentioned below- https://docs.google.com/forms/d/e/1FAIpQLSdOd5aLBKnI-eoE_rLiVTTwqqAQlhI3SQRWgy174TMs0Up7Uw/viewform?usp=header Responsibilities : - Ensure the quality of architecture and design of systems by serving as a technical lead on our most demanding, cross-functional teams. - Functionally decompose complex problems into simple, straight-forward solutions - Leverage knowledge of internal and industry in design decisions and have zeal & drive to take end to end ownership. - Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience. - Build performant, scalable, yet secure, enterprise-ready cost-effective back end architectures that can support millions of users in parallel while re-architecting the existing problems. - Lead design and development of products working closely with the business team. - Independently own software components and co-own entire applications with a small group of fellow developers and review codes - Should have experience of working with Product Management to create product roadmaps functional specifications, design specification of features based on customer/product requirements - Research, experiment, and recommend new technologies that can help increase productivity/reduce technical risk or debt. Sounds Like You ? - 8+ years of software development experience with Enterprise Java (JDK 8 and above), Spring (Boot, MVC, AOP, DI), ORM Frameworks. - 4+ years of experience contributing to the architecture, and design (LLD, HLD, OO design patterns, reliability, and scaling) of new and current systems. - Strong experience in data structures & algorithms, and their space & time complexities. - Strong working experience in an agile environment and technically leading the team of developers and reviewing codes. - Experience in high traffic, highly scalable, microservices, distributed system designs. - Experience working with microservices-based architecture . - Hands-on experience working with Databases like SQL & NoSQL - Hands-on experience working with caches like Ehcache, Redis, etc. - Solid understanding of multithreading, MVC, and strong OO skills with demonstrated experience in developing complex and reusable APIs and understanding of the full software development life cycle.

Designation : Key Account Manager Location: Mumbai Experience: 6-8 years Role & Responsibilities Map the market for opportunity for the required PG and Consumer Finance products Sourcing new partnerships for the company and farming those accounts for enhanced business Identification of the target audience/merchants within different business segments in the online space as per the agreed approach. Focus on acquisition of Large Brands Identification of the Spocs within the target merchants/partners to establish connect and discuss further Pitch and discuss the product proposition with the merchants Negotiate contracts and close agreements to maximize revenue for the company Serve as the lead point of contact for all merchant/partner account management matters Work with internal product, process, marketing and tech teams to establish business synergies and seamless experience for our partners Understand market dynamics and the fintech environment, competition landscape and stay abreast of the latest changes happening in the industry to enable a high value service delivery Build and maintain strong, long-lasting client relationships Be the customer champion internally and bring in market intelligence to improve products and processes to enable best in industry propositions and practices Ensure the timely and successful delivery of our solutions according to customer needs and objectives End – End ownership of the accounts managed Clearly communicate the progress of monthly/quarterly initiatives to internal and external stakeholders Develop new business with existing clients and/or identify areas of improvement to meet sales quotas Requirements Proven work experience in Corporate Sales, Partnerships & Alliances, Merchant Acquiring roles Should be well connected in the online/e – commerce space, corporates that operate in an online environment Demonstrable ability to communicate, present and influence key stakeholders at all levels of an organization, including executive and C-level Demonstrable past performance of client acquisition and business farming experience Understanding how technology can work as an enabler for business Proven ability to juggle multiple account management projects at a time, while maintaining sharp attention to detail Understanding of commercial negotiations and legal frameworks, and ability to navigate successfully through different legs of partners acquisition and business farming Excellent listening, negotiation and presentation abilities Strong verbal, written communication skills and ability to work fluently with MS - Office Experience in PG/Lending based FinTech’s, Banks, NBFCs, Digital Space would be desirable Show more Show less

Job description We are seeking a highly skilled and experienced Lead API Automation Tester to join our dynamic QA team. This role will require a deep understanding of API testing methodologies, strong leadership skills, and a passion for delivering high-quality software. Job Role : Lead SDET Required Skills : Java, API Automation, Rest Assured , Automation testing Exp : 6-9 Yrs Notice Period : Immediate or Serving Only If anyone interested for above role kindly fill the details in the below google form- https://docs.google.com/forms/d/e/1FAIpQLSdpnv64RKeFco1QMvgwwIzrG98KweOlFVsh7FQkvsLzPiKYJw/viewform?usp=header Key Responsibilities: Lead a team of API automation testers to ensure the quality of API services and backend systems. Design, develop, and maintain automated test scripts for API testing using tools such as Postman, RestAssured, or similar tools. Perform thorough testing of RESTful APIs and web services to ensure functional, regression, and load testing is covered. Create and maintain automated test cases for all levels of API testing, including unit, integration, and system tests. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. 6+ years of experience in software testing, with at least 2+ years focused on API automation. Strong experience with API testing tools such as RestAssured Experience with programming languages such as Java for test automation. Familiarity with CI/CD pipelines and test automation integration. Strong understanding of RESTful web services, HTTP methods, request/response formats (JSON, XML). Knowledge of test management tools such as JIRA, TestRail, or similar.

Freecharge is a well-known name in the world of payment apps, serving over 100 million users across the country. A 100% subsidiary of Axis Bank, Freecharge has always been known for offering safe and seamless UPI payments, utility bill payments, mobile/DTH recharges, and much more. Moreover, users can easily make payments at offline or online merchants via a robust infrastructure that supports UPI, Debit/ Credit Cards, Wallet, and other options. Freecharge even offers multiple Axis Bank Credit Cards and is constantly building new products to support small and midsize retailers across payments and lending. For more details, please visit https://www.freecharge.in or download the Freecharge app. Title: Principal Security Engineer Location: Gurugram Experience: 7-10yrs- Must have Payment Gateway or Payment Aggregator Exp Education: Bachelor’s / Master’s in Software Engineering Key Responsibilities Application Security & Vulnerability Management Perform and support automated application security testing, including source code review, API testing, and mobile/web application assessments using tools like SonarQube, CodeGuru, and Burp Suite. Curate and analyze vulnerability data from automated tools and provide clear, actionable remediation guidance to development and engineering teams. Independently execute vulnerability scans and assist in remediation tracking and risk mitigation. Escalate critical issues and risks to senior management in a timely manner. Operational Risk & Compliance Ensure security deliverables meet internal quality standards and provide practical risk insights. Support internal and external audits (ISO 27001, PCI DSS, RBI, etc.) by collecting and organizing audit evidence from various stakeholders. Help drive continuous improvement across InfoSec processes and ensure adherence to relevant security policies and procedures. Stay current with emerging threats, tools, and best practices in cybersecurity and AppSec. Stakeholder Engagement & Collaboration Act as a liaison between InfoSec, engineering, and business units to ensure clear communication and service delivery. Build and maintain strong working relationships with internal teams and global stakeholders. Collaborate with the Attack Surface Management team to share insights, address security gaps, and improve assessment coverage. Qualifications Bachelor's degree in Computer Science, IT, or a related field / Master’s in Software Engineering Proven experience in application security, information security risk assessments, and vulnerability management. Familiarity with compliance standards: ISO 27001, PCI DSS v4.0, and RBI regulatory requirements. Hands-on experience with AppSec tools: SonarQube, CodeGuru, Burp Suite, etc. Strong understanding of information security concepts, secure SDLC, and threat modeling. Excellent communication, documentation, and stakeholder management skills. Ability to work independently and take ownership of assigned tasks. Show more Show less

Job description- Please share your updated resume at anushree.1@freecharge.com or fill this form link- https://docs.google.com/forms/d/e/1FAIpQLSejhp4EWxk7OjnH_ZtGw7QHdeg_5JeZ35mZfP4GaSeRpNcU_Q/viewform?usp=header Title: Lead SDE (Backend) Location: Gurugram (Hybrid work mode) Experience: 5+ Yrs Required Skills- 5+ years of software development experience with Enterprise Java (JDK 8 and above), Spring (Boot,MVC, AOP, DI), ORM Frameworks. 2+ years of experience contributing to the architecture and design (LLD, HLD, Solid principles and design patterns and scaling) of new and current systems. Strong experience in technically leading junior developers with a focus on the goal. Strong experience in data structures & algorithms and their space & time complexities. Solid understanding of multithreading, microservices, MVC and strong OO skills with demonstrated experience in developing complex and reusable APIs. Strong experience working with Databases like SQL & NoSQL. Experience working with microservices-based architecture. Experience in high traffic, highly scalable distributed system designs, complex web applications, and code reviews. Experience working in an Agile environment. Solid understanding of the full software development life cycle and the domain. Good to have knowledge of messaging systems like SNS/ SQS /Kafka etc.

Salary - 10 to 25 LPA Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech) Show more Show less

Get To Know Us First! Freecharge , a subsidiary of Axis Bank Limited founded in 2010, is a Fin-Tech organization revolutionizing Financial Products through technology. At our core, we're a creative company. Ideas and pixels are where we live and we love building magical products that make our users feel 'wow'. At Freecharge, you'll have the chance to do the best work of your life. We're on a journey to build something new, something different and something innovative & that requires passion to build such incredible products. Come join us and shape the future of Fin-Tech. Do You Make The Cut? We are looking for a motivated developer to join our agile team of developers as a Lead to mentor and as an individual contributor to drive best practices in the product. You will be responsible for the design, architecture, and delivery of a feature/product with the highest quality. Providing the product with visible benefit to end-users in an iterative fast paced environment by creating solutions suitable for the job in real-time. Title : Lead SDE (Backend) Location : Gurugram Experience : 4-7 Yrs. Education : Bachelor's / Master's in Software Engineering Responsibilities : In this lead role, you will be designing and developing complex software systems that have been successfully delivered to customers. - Ensure the quality of design of systems by serving as a technical lead on our most demanding, cross-functional teams - Build reusable code and libraries for future use. - Build highly available, high performance, scalable software and you will work on distributed systems for massive-scale systems - Responsible for code quality of the product being developed along with unit and integration testing. - Mentor junior developers to improve their skills, and make them more effective, product software engineers. - Communicate with technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy. Sounds Like You? - 4+ years of software development experience with Enterprise Java (JDK 8 and above), Spring (Boot, MVC, AOP, DI), ORM Frameworks. - 1+ years of experience contributing to the architecture and design (LLD, HLD, Solid principles and design patterns and scaling) of new and current systems. - Strong experience in technically leading junior developers with a focus on the goal. - Strong experience in data structures & algorithms and their space & time complexities. - Solid understanding of multithreading, microservices, MVC and strong OO skills with demonstrated experience in developing complex and reusable APIs. - Strong experience working with Databases like SQL & NoSQL. - Experience working with microservices-based architecture. - Experience in high traffic, highly scalable distributed system designs, complex web applications, and code reviews. - Experience working in an Agile environment. - Solid understanding of the full software development life cycle and the domain. - Good to have knowledge of messaging systems like SNS/ SQS /Kafka etc.

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : (GenAI is must) Language : Python , PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python. - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : - Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : - Should be able to analyze and manipulate large data sets. - The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : - Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Get To Know Us First! Freecharge a subsidiary of Axis Bank Limited founded in 2010, is a Fin-Tech organisation revolutionizing Financial Products through technology. At our core, were a creative company. Ideas and pixels is where we live and we love building magical products that make our users feel ‘wow’. At Freecharge, you'll have the chance to do the best work of your life. We’re on a journey to build something new, something different and something innovative & that requires passion to build such incredible products. Come join us and shape the future of Fin-Tech. Do You Make The Cut? If you enjoy pushing boundaries, challenging the status quo, and working with the latest technologies. Then you might be the right team member we are looking for! We’re looking for an Automation Engineer to focus on product’s quality and performance. You will run the tests across all our products releases and report any issues found to the corresponding development teams. We are involved in 80% in automation testing and 20% in manual testing. We treat our test automation as a first-class product, with development processes and code quality. Title: Lead Software Development Engineer In Test Location: Gurugram Experience: 4 Yrs - 7 Years Education: Bachelor’s / Master’s in Software Engineering Responsibilities : • Work closely with the Developers to achieve a high level of code coverage. • You create the necessary automation library and framework. • Implementing and maintaining automated test suites for daily runs and regression. • Involved in integration tests, API tests, UI tests, and system tests. • Excellent debugging skills, measures, and analyses code for quality. • Create the test plan, scripting and execution. • Maintain your test suits in bitbucket repository. • Doing the code review of your peer groups. • Involved in end to end testing for modules. Sounds Like You? • Experience with Java coding and OOPs is a must. Experience with JUnit is a must. Experience with tools like TestNG or similar is a must. • Expertise in Data structures & algorithm, problem solving. Should have worked on API Testing using Rest Assured/HTTP client. • Knowledge of working with databases (MySql/NoSql). • Worked with versioning tool like Git. • Experience in CI/CD and Jenkins for testing deployment. • Proven track record in a high-speed product development environment. Skills 1. API Automation through REST Assured or any other library 2. Core Java and JUnit 3. TestNG 4. Automation Framework creation from scratch 5. Code Reviews 6. SQL 7. Data Structure and Algorithms, problem solving 8. Team Handling experience is a plus

Responsibilities: Mentor engineers and build automation tools for cloud infrastructure provisioning using AWS (EC2, S3, CloudFront, RDS, Route 53, etc.) Design and implement CI/CD pipelines and integration solutions Manage infrastructure services such as monitoring, orchestration, and continuous delivery Collaborate with development teams to build scalable and reliable services Troubleshoot and resolve networking and DNS issues using tools like Route 53 Skills Required: 7+ years of experience with Unix/Linux; proficient in Python, Shell, or Bash scripting Strong hands-on experience with AWS core services (VPC, EC2, S3, Route 53, RDS, EKS) Proficient in automation/configuration tools such as Ansible, Jenkins Solid experience in CI/CD processes Expertise in monitoring tools (Nagios, Zabbix, Dynatrace) and experience with SIEM/ELK Knowledge of Serverless Architecture and Kubernetes Proficiency in IaaS tools like Terraform Good understanding of infrastructure security, audit, and compliance practices Strong background in scalability, reliability engineering, and Agile methodologies

Title : Lead Data Scientist/ML Engineer (5+ years & above) Required Technical Skillset : (GenAI) Language : Python Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis And Visualization Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication And Collaboration A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech)

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : Language : Python , PySpark Framework : Django, Flask, Fastapi, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB), Good to have -SQL Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence Good to Have: agentic ai, ai agent A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python . - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Desktop Support: Install, configure, and troubleshoot Windows/macOS operating systems and applications Provide technical assistance for desktops, laptops, and peripheral devices Manage software installations, updates, and patch management Set up and maintain user accounts, permissions, and profiles Ensure timely resolution of hardware and software issues Monitor, troubleshoot, and maintain network infrastructure (LAN, WAN, Wi-Fi, routers, switches) Assist in network configuration including firewalls, VPNs, and antivirus solutions Working knowledge of Windows Server and networking is preferred Conduct network performance testing and optimization