10940 Regression Jobs - Page 12

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Selenium Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineer, you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suites, creating automation strategies, and supporting data and environment configurations. You will also participate in code reviews, monitor and report defects, and engage in continuous improvement activities for the end-to-end testing process, ensuring that the highest quality standards are met throughout the project lifecycle. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain automated test scripts to ensure comprehensive test coverage. - Collaborate with cross-functional teams to identify and resolve quality issues early in the development process. Professional & Technical Skills: - Must To Have Skills: Proficiency in Selenium. - Strong understanding of test automation frameworks and methodologies. - Experience with continuous integration and continuous deployment tools. - Familiarity with API testing tools and techniques. - Ability to analyze and interpret complex data sets to inform testing strategies. Additional Information: - The candidate should have minimum 3 years of experience in Selenium. - This position is based at our Bengaluru office. - A 15 years full time education is required.

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ AECG ASIC DFx - SENIOR SILICON DESIGN ENGINEER The Role AECG SSD ASIC is a centralized ASIC design group within AMD’s Adaptive and Embedded Computing Organization. The group consists of design teams located in several AMD locations in North America and Asia. It is primarily responsible for architecture, design, and implementation of critical Design-for-Test (DFT) and Design-for-Debug (DFD) features for cutting edge AMD products. We are looking for an adaptive, self-motivative design verification engineer to join our growing team. As a key contributor, you will be part of a leading team to drive and improve AMD's abilities to deliver the highest quality, industry-leading technologies to market. The Verification Engineering team furthers and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. The Person You have a passion for modern, complex processor architecture, digital design, and verification in general. You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites/timezones. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. Key Responsibilities Develop RTL for ASIC design-for-test (DFT) features as per architectural or design flow automation specifications Perform DFT RTL design integration, insertion, synthesis, equivalency checking, timing analysis and defining constraints, verification of DFx logic at RTL and GLS, ATPG and Scan GLS Work with multi-functional teams and handling schedules The successful candidate may also be responsible of: Debugging and verifying block-/chip-level DFT/DFX features Porting or creating the DFT/DFX verification environment Block/Chip test plan creation and development Stimulus writing and debug, and regression clean-up Generating high quality manufacturing test patterns for stuck-at, transition fault models and using on-chip test compression techniques Stimulating and verifying the ATPG and LBIST patterns Working with the product engineering teams on the delivery of manufacturing test patterns Provide technical support to other teams Preferred Experience Minimum 5 years of DFT or related domains experience, leading DFT efforts for large processor and/or SOC designs is a plus. Knowledge of DFT techniques such as JTAG/IEEE standards, Scan and ATPG, memory BIST/repair or Logic BIST Good working knowledge of UNIX/Linux and scripting languages (e.g. TCL, c-shell, Perl) Familiar with Verilog design language, Verilog simulator and waveform debugging tools Knowledge of EDA tools/methodology, such as synthesis, equivalency checking, static timing analysis is a plus. Strong problem-solving skills. Team player with strong communication skills. Academic Credentials Bachelors or Masters degree in computer engineering/Electrical Engineering Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

We are looking for a proactive and detail-oriented Testing Engineer with 6 months or 1 year of hands-on experience in both manual and automation testing . The ideal candidate should possess a solid understanding of software testing life cycle (STLC), test case design, defect reporting, and proficiency in using testing tools and frameworks. You will collaborate closely with development teams to ensure the delivery of high-quality software products. This role offers the opportunity to work on real-time projects, enhance test strategies, and contribute to continuous improvement in product quality. Key Responsibilities: Perform manual testing to identify software issues and ensure quality standards. Develop and execute test cases, test scripts, and test scenarios for various applications. Assist in the implementation of automation testing frameworks and scripts. Collaborate with developers to understand requirements and troubleshoot issues. Document testing processes, results, and identified bugs effectively. Conduct regression, functional, and performance testing. Ensure timely communication of testing updates and issues to the team. Qualification: Bachelor’s degree in Computer Science, Information Technology, or a related field. 6 months to 1 year of hands-on experience in manual and automation testing. Required Skills: Solid understanding of testing methodologies , STLC , and defect lifecycle . Experience with testing tools such as Selenium , JUnit , Cypress , Postman , or equivalent. Strong analytical and problem-solving abilities with a keen eye for detail. Good understanding of API testing , regression testing , and test case design . Excellent verbal and written communication skills. Ability to work collaboratively in a fast-paced, agile environment. Job Type: Full-time Pay: ₹12,000.00 - ₹18,000.00 per month Benefits: Health insurance Ability to commute/relocate: Narhe, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Available for Face to Face Interview Work Location: In person Speak with the employer +91 7887364634 Expected Start Date: 04/08/2025

About the Company Infosys Finacle , a product of EdgeVerve Systems (a subsidiary of Infosys), is a globally recognized leader in digital banking solutions. It empowers financial institutions across over 100 countries to drive comprehensive digital transformation, regardless of their current stage in modernization. Data Scientist AI / RPA About the Role Hands on experience in applying statistical methods, ML algorithms to large data sets for deriving insights/predictions using python/R packages. Responsibilities Looking for an expert on using data science related packages like sk learn and data manipulation packages like pandas, dask. Experience in modeling techniques like classifications, regression time series analysis, deep learning, text mining and NLP. Experience in analyzing the problem statements and coming up with different solutions by creating POC. Must have experience in collecting relevant data as per the problem statement and cleansing the data. Basic knowledge of writing sql queries. Must have knowledge on big data concepts like Hadoop and hive. One should have experience ML programming and analytical skills. Qualifications B.Tech, M.Tech, MCA, BE Education details Required Skills Hands on experience in applying statistical methods, ML algorithms to large data sets for deriving insights/predictions using python/R packages. Preferred Skills Experience in modeling techniques like classifications, regression time series analysis, deep learning, text mining and NLP. Pay range and compensation package Pay range or salary or compensation Equal Opportunity Statement Include a statement on commitment to diversity and inclusivity. ```

Blend at a glance: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. We unlock value and foster innovation by harnessing world-class people and data-driven strategy. We believe that the power of people + A I can create a meaningful impact, driving innovation for our clients while fostering fulfilling work for our teams. For more information, visit www.blend360.com . Role Highlight s: As a Manager - Data Scie nce, you wont just manage, you' ll lead by do ing. This role deman ds strong hands-on expert ise in Machine Learning, Generative AI, Python, and SQL, a nd any cloud environment (GCP, Azure or A WS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. You'll spearhe ad end-to-end AI/ML project execut ion, collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, wed love to have you on boa rd! What You'll Tackle Each Day: Delivery & Project Manag ement: Develop and imp lement ML models, Gen AI solutions, and predictive an a lytics.P erform data mining, feature engineering, and statistical a n alys is.Own project roadmaps, quality control, and timely d e livery.Collaborate with Data Engineering te ams to deploy and operationalize ML models.Automate and optimize workflows for effi ciency. Practice Deve lopment: Contr ibute to scaling Blends Data Science practice by building new capa bilitie s.Design industry-specific AI/ML solutions and contribute to thought le adership. Evaluate emerging AI trends and tools and integrate them into our e cosys tem.Lead innovation in itiatives, research, and internal AI dev elopment. People & L eadership: Mentor and develop a high-performance data s c ience team.Guide career development and set performance benchmarks.Collab orate with cross-funct ional teams to drive seamless execution. What You Bring t o the Ta ble: 8+ years of e xperience in Data Sci ence & AI, with hands-on expertise in ML, Gen AI, Py t hon, and SQL.Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimiz ation, etc.).E xperience in end-to-end ML deployment, including working with either Azure or AWS or GCP o r Databricks.Proven ability to solve complex business c hallenges in Retail, CPG, BFSI, Healthcare, or eCommerce.Deep expertise in statistics, probability, stochastic processes, and cau s al inference.Strong communicator who can explain AI concepts to non-technical stakeholders.Exp erience with big data tools (Hadoop, Hive, PySpark) and ML pipelines.Bonus: E xperience in Google Analytics, Adobe Analytics, or digital market i ng analytics.Bachelors/Master ’s degree in Computer Science, Statistics, Math, Operations Research, or a r elated field. What do you get in return? Comp etitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you brin g to the table.Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-tra ck your ca reer.Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can sh ape the futu re.Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to gr ow your ski lls.Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.Recognitio n & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : ASP.NET MVC Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineer, you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suites, creating automation strategies, and supporting data and environment configurations. You will also participate in code reviews, monitor and report defects, and contribute to continuous improvement activities for the end-to-end testing process, ensuring that the highest quality standards are met throughout the project lifecycle. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and implement automated testing scripts to enhance testing efficiency. - Collaborate with cross-functional teams to ensure seamless integration of testing processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in ASP.NET MVC. - Strong understanding of software testing methodologies and best practices. - Experience with test automation tools and frameworks. - Familiarity with API testing and security testing techniques. - Ability to analyze and report on testing results effectively. Additional Information: - The candidate should have minimum 3 years of experience in ASP.NET MVC. - This position is based at our Hyderabad office. - A 15 years full time education is required.

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineer, you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suites, creating automation strategies, and developing automated scripts. You will also support data and environment configuration, participate in code reviews, and monitor and report defects to facilitate continuous improvement activities throughout the end-to-end testing process. Your role is crucial in ensuring that the applications meet the highest quality standards and function seamlessly in various environments. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to ensure comprehensive testing coverage. - Develop and maintain automated test scripts to enhance testing efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD). - Strong understanding of testing methodologies and best practices. - Experience with automation testing tools and frameworks. - Familiarity with API testing and security testing techniques. - Ability to analyze and report defects effectively. Additional Information: - The candidate should have minimum 3 years of experience in SAP Sales and Distribution (SD). - This position is based at our Hyderabad office. - A 15 years full time education is required.

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure. As a machine learning engineer, you will play a pivotal role in constructing essential infrastructure for the open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as you'll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly. What you’ll be doing (ie. job duties): Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining. Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment. Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization. What we look for in you (ie. job requirements): 2+yrs of industry experience as a machine learning and software engineer Experience building backend systems at scale with a focus on data processing/machine learning/analytics. Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. Working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision. Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder. Nice to haves: BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field. Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python. Experience with model interpretability, responsible AI. Experience with data analysis and visualization. Job ID: GPML04IN Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment . To request a reasonable accommodation due to disability, please contact accommodations@coinbase.com .

Build your best future with the Johnson Controls team As a global leader in smart, healthy, and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away! What We Offer Competitive salary Paid vacation/holidays/sick time On the job/cross training opportunities Encouraging and collaborative team environment Dedication to safety through our Zero Harm policy What You Will Do The primary responsibility for this role is to lead Energy Performance Contracting (EPC) global projects, detailed Energy Analysis by keeping operational parameters within budget from India office. Must work on EPC on the Project Development and Measurement and Verification (M&V) activities, Energy Modeling. Co-ordination with JCI global branches for effective solution for energy conservation and energy efficiency. To lead the projects and have technical discussions with the branch engineers, maintain project quality, on time delivery, handle second level escalation. How You Will Do It (Key Responsibilities) Review project inputs and specifications; should be able to capture the scope and understand the complete requirements of the project. Review of Utility bills and working on Utility Analysis for creating Energy Baseline for EPC projects. Calculations of Energy Use Intensity (EUI) and Energy Cost Intensity (ECI) in kBtu/Sq.ft. and $/Sq.ft. respectively. Review of BMS trend data and working on Trend Analysis for verification of operation of different control strategies, Air Handler run hours, Solar PV generation, Cogeneration system generation etc. as per the EPC. Giving detailed insights to the client based on observations. Creating 3D model of a facility in eQuest software simulating building energy consumption and energy savings potential. Review of EPC contract documents, Pre and Post retrofit energy measurements of Energy Conservation Measures (ECMs) etc., and creating Measurement & Verification (M&V) and Construction report with details such cost avoidance summary, measured & non-measured savings, operational savings, improvement in EUI, reduction in GHG emissions etc. Working on M&V Options A, B, C and D as per International Performance Measurement and Verification Protocol (IPMVP). Review of Lighting line x line with details on energy efficient lighting retrofits/replacements throughout the facility and working on lighting rebates analysis for calculating total rebates/incentives for each facility. Review of facility energy data and other basic facility information and working on energy benchmarking of the facility using Energy Star PM software. Giving insights to the client based on Energy star score and EUI & GHG emissions calculated by software. Review of utility energy data, site weather data and creating for base year tuned regression models in Metrix and Option C software. Tuning done to meet all statistical parameters as per IPMVP. Working on ASHRAE level I & II site energy audits for commercial and residential buildings with identification and presentation of all ECMs to client along with ROI and Payback calculations. Co-ordination with customer and able to propose a solution for the project and is responsible to ensure that projects are executed within the committed schedule and cost to meet the customer requirements. Preparation and participation for project kick-off / review meetings with technical queries and scope clarification and record minutes of meeting. What We Look For BE/ME/M.tech (Mechanical/ Instrumentation / Electrical / Electronics/Energy Mgmt.) 4 to 8 years of relevant experience as Energy Analyst in Buildings sector. One who understands the complex interaction between building and HVAC, lighting, and other systems in buildings. One who has experience in energy (Electrical & Thermal) management, energy analysis, energy benchmarking, and energy modeling. The candidate would be required to act as a consultant providing consultancy services mainly in the field of EPC. Energy Audit experience (ASHRAE Level I & II). Should have requisite knowledge of Building operations and HVAC operations and their interactions. Must be a quick learner & should have a keen eye for problem solving. Proficient in written and verbal communication. Ability to demonstrate good leadership skills. Preferred Energy Performance Contracting (EPC) life cycle experience. Measurement & Verification (M&V) experience. Green Building certification experience (LEED, IGBC, GRIHA, WELL). Solar PV system design experience. LEED AP, WELL AP, IGBC AP. BEE India CEM/CEA. PMVA.

We’re Hiring: Senior QA Engineer (Mobile – Manual & Automation) Location: Ahmedabad Experience Required: 2–3 Years Platforms: Android & iOS About Pixster Studio: Pixster Studio is on a mission to become India’s leading app developer and publisher. With over 25 million downloads and a robust portfolio of applications across iOS, Android, macOS, Vision OS, and WatchOS, we are committed to delivering world-class digital experiences. We are a fast-growing, product-focused company that values innovation, integrity, and user satisfaction. Role Overview: We are looking for a Senior QA Engineer with expertise in both manual and automation testing, specifically for mobile platforms. This role is ideal for someone who is detail-oriented, quality-obsessed, and confident in leading testing strategies across multiple teams. Key Responsibilities: Lead end-to-end QA processes for mobile applications. Design and execute comprehensive test cases, regression plans, and automation scripts. Collaborate with cross-functional teams across product, design, and engineering to ensure timely and seamless product releases. Identify bugs, maintain documentation, and improve test coverage and QA processes continuously. Effectively utilize tools such as Selenium, JIRA, TestRail, and Appium. Mentor and guide junior QA engineers and foster cross-team collaboration. Required Skills and Qualifications: 2–3 years of experience in mobile application testing (manual and automation). In-depth understanding of mobile QA methodologies, tools, and processes. Strong communication, leadership, and problem-solving skills. Experience with test automation frameworks and agile environments. Proven ability to coordinate with cross-functional teams and manage QA responsibilities independently. Why Join Pixster Studio? Work on high-impact products that reach millions of users globally. Be part of a fast-growing product-based company with a strong culture of innovation. Collaborate with a passionate team focused on ownership, learning, and continuous improvement. How to Apply: If you are passionate about mobile app quality and want to be part of a team building meaningful digital products, we’d love to hear from you. Send us a message or apply directly to join our growing QA team at Pixster Studio.

We are looking for a skilled and experienced Senior Data Scientist to join our dynamic team in Gurgaon. If you have a passion for fighting fraud and a strong background in machine learning, we encourage you to apply! What Will You Do:  Develop, implement, and maintain advanced machine learning models for fraud detection, specifically focusing on Payment Fraud Risk and Merchant Fraud Risk.  Utilize your strong SQL knowledge to extract, manipulate, and analyze large datasets.  Collaborate with cross-functional teams to identify fraud patterns and enhance fraud prevention strategies.  Contribute to the continuous improvement of our fraud detection systems and methodologies. What We are Looking For:  Experience: 3-5 years of hands-on experience in data science, with a proven track record in fraud risk.  Domain Expertise: Specific and in-depth experience in Payment Fraud Risk and Merchant Fraud Risk is essential. Candidates with experience solely in credit risk modeling will not be considered.  Technical Prowess: o Strong proficiency in Excel, SQL, PySpark and Python o Demonstrated experience in building and deploying Machine Learning Classification and Regression Models, particularly for fraud detection. o Please note: Experience in Time Series, Natural Language Processing (NLP), or Computer Vision is not required for this role.

Job Summary: We are looking for a detail-oriented and skilled Automation Test Engineer to join our QA team. The ideal candidate will design, develop, and execute automated tests to ensure the quality and reliability of software products. This role involves working closely with developers, product managers, and other stakeholders to create and maintain robust test frameworks and improve overall software performance and stability. Key Responsibilities: Design, develop, and execute automation scripts using testing tools (e.g., Selenium, Cypress, Playwright, etc.). Collaborate with cross-functional teams to understand business requirements and translate them into test cases. Maintain and improve existing automation test frameworks. Conduct performance, regression, and functional testing. Identify, record, and track bugs through to resolution. Generate test reports and metrics for stakeholders. Continuously explore new tools and technologies to enhance test automation. Required Qualifications: Bachelors degree in Computer Science, Engineering, or related field. 9+ years of experience in software QA with a focus on automation testing. Proficient in at least one programming/scripting language (e.g., Java, JavaScript, C#). Strong knowledge of test automation frameworks (e.g., Selenium WebDriver, TestNG, JUnit, Cypress). Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD). Experience with version control systems (e.g., Git). Understanding of SDLC, STLC, and Agile methodologies. Preferred Qualifications: Experience with API testing tools like Postman, REST Assured, or SoapUI. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud). ISTQB certification or equivalent is a plus. Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Ability to work independently and manage multiple priorities.

Quality Assurance Engineer About HotWax: HotWax Commerce is a cloud-based Omnichannel Order Management solution that provides retailers with the best return on their inventory by facilitating omnichannel solutions such as same-day Buy Online Pick Up In Store (BOPIS), Ship From Store, and Pre-Order management to increase conversion rates and profitability. Global brands like Steve Madden, Frank and Oak, Cabi, and Perry Ellis rely on HotWax Commerce to deliver omnichannel retailing experiences to their customers. Job Description HotWax is looking to build a next generation QA team that understands how AI and other testing automation tools redefine testing for multi-tenant, high availability, SaaS products. Designation: Quality Assurance Automation Engineer Experience: 1 to 2 years Country/Region: India State / Province: Indore, M.P Employment Type: Full-Time Business Domain: SaaS Products Role Your role will be to work with the Director of Product to define HotWax Commerce product QA with clear KPIs of reducing bugs in production and eliminating regression with minimal manual testing. Responsibilities: Create a QA tech stack to automate QA for HotWax Commerce. Create meaningful test cases. Write and execute test cases to find system bugs. Enforce and ensure test coverage across multiple solutions and modules. Execute strategies to test complex software systems. Establish processes and tools to produce actionable metrics and enforceable goals. Technology/Skills: Exposure to project management tools like ClickUp Ability to troubleshoot and debug complex issues independently or collaboratively. QA automation tools GitHub and GitLab Google Sheets and other GSuite Products 50+ WPM typing

About Snapmint: India’s booming consumer market has over 300 million credit-eligible consumers, yet only 35million actively use credit cards. At Snapmint, we are building a better alternative to credit cards that lets consumers buy now and pay later for a wide variety of products, be it shoes, clothes, fashion accessories, clothes or mobile phones. We firmly believe that an enduring financial services business must be built on the bedrock of providing honest, transparent and fair terms. Founded in 2017, today we are the leading online zero-cost EMI provider in India. We have served over 10M consumers across 2,200 cities and are doubling year on year. Our founders are serial entrepreneurs and alumni of IIT Bombay and ISB with over two decades of experience across leading organizations like Swiggy, Oyo, Maruti Suzuki and ZS Associates before successfully scaling and exiting businesses in patent analytics, ad-tech and bank-tech software services. Role Overview: We are seeking a Data Scientist with 2–3 years of experience to build and deploy machine learning models in the fintech domain. The role involves working on credit risk, fraud detection, and customer analytics using advanced statistical techniques and scalable data platforms. The ideal candidate should demonstrate strong technical proficiency and the ability to translate data insights into actionable business outcomes. Key Responsibilities: Build, deploy, and maintain machine learning models for: Credit underwriting & credit scoring Fraud detection & transaction monitoring Customer lifetime value prediction Pricing & offer personalization Collections optimization Design experiments and A/B tests to measure the effectiveness of BNPL products and features. Conduct exploratory data analysis to identify business insights and opportunities. Collaborate with data engineering to ensure robust data pipelines, feature stores, and model monitoring systems. Translate complex data science solutions into actionable business recommendations. Continuously improve model accuracy, fairness, and interpretability. Requirements: Bachelor’s degree in Engineering 2-3 years of experience in data science or machine learning (fintech or financial services is a plus). Strong programming skills in Python, SQL. Experience in Java is a plus. Experience with ML libraries (scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, etc.) Familiarity with risk modeling, credit scoring techniques, and time series forecasting. Understanding of statistical techniques like hypothesis testing, regression, clustering, survival analysis, etc. Experience working with large-scale data in cloud platforms (AWS, GCP, Azure). Strong communication skills with ability to simplify complex concepts for business stakeholders. Location: Bangalore Working days: Monday - Friday

Competetive Salary PF and Gratuity About Our Client Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services network in the world Job Description Position: ML Engineer Job type: Techno-Functional Preferred education qualifications: Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degree Job location: India Geography: SAPMENA Required experience: 6-8 Years Preferred profile/ skills: 5+ years in developing and deploying enterprise-scale ML solutions [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration), [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost) [Mandatory] Prior experience on MLOps with Kubeflow or TFX [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics. [Mandatory] Advanced programming skills with Python and SQL [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time [Mandatory] Proficiency in version control systems such as GitHub Experience with feature engineering optimization and ML model fine tuning is preferred Google Cloud Machine Learning certifications will be a big plus Experience in Beauty or Retail/FMCG industry is preferred Experience in training with large volume of data (>100 GB) Experience in delivering AI-ML projects using Agile methodologies is preferred Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner Proven ability to work proactively and independently to address product requirements and design optimal solutions Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team Job objectives: Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs. Job description: Deep understanding of business/functional needs, problem statements and objectives/success criteria Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed Act as 'Owner' of end-to-end machine learning systems and their scaling Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops The Successful Applicant Position: ML Engineer Job type: Techno-Functional Preferred education qualifications: Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degree Job location: India Geography: SAPMENA Required experience: 6-8 Years Preferred profile/ skills: 5+ years in developing and deploying enterprise-scale ML solutions [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration), [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost) [Mandatory] Prior experience on MLOps with Kubeflow or TFX [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics. [Mandatory] Advanced programming skills with Python and SQL [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time [Mandatory] Proficiency in version control systems such as GitHub Experience with feature engineering optimization and ML model fine tuning is preferred Google Cloud Machine Learning certifications will be a big plus Experience in Beauty or Retail/FMCG industry is preferred Experience in training with large volume of data (>100 GB) Experience in delivering AI-ML projects using Agile methodologies is preferred Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner Proven ability to work proactively and independently to address product requirements and design optimal solutions Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team Job objectives: Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs. Job description: Deep understanding of business/functional needs, problem statements and objectives/success criteria Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed Act as 'Owner' of end-to-end machine learning systems and their scaling Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops What's on Offer Competitive compensation commensurate with role and skill set Medical Insurance Coverage worth of 10 Lacs Social Benifits including PF & Gratuity A fast-paced, growth-oriented environment with the associated (challenges and) rewards Opportunity to grow and develop your own skills and create your future Contact: Anwesha Banerjee Quote job ref: JN-072025-6793565

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Selenium Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineer, you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suites, creating automation strategies, and supporting data and environment configurations. You will also participate in code reviews and monitor defects to support continuous improvement activities for the end-to-end testing process, ensuring that the highest quality standards are met throughout the project lifecycle. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain automated test scripts to ensure comprehensive test coverage. - Collaborate with cross-functional teams to identify and resolve quality issues early in the development process. Professional & Technical Skills: - Must To Have Skills: Proficiency in Selenium. - Good To Have Skills: Experience with test management tools such as JIRA or TestRail. - Strong understanding of software testing methodologies and best practices. - Experience in API testing using tools like Postman or SoapUI. - Familiarity with version control systems such as Git. Additional Information: - The candidate should have minimum 3 years of experience in Selenium. - This position is based at our Coimbatore office. - A 15 years full time education is required., 15 years full time education

Job Summary: We are seeking a proactive and detail-oriented Data Scientist to join our team and contribute to the development of intelligent AI-driven production scheduling solutions. This role is ideal for candidates passionate about applying machine learning, optimization techniques, and operational data analysis to enhance decision-making and drive efficiency in manufacturing or process industries. You will play a key role in designing, developing, and deploying smart scheduling algorithms integrated with real-world constraints like machine availability, workforce planning, shift cycles, material flow, and due dates. Experience: 1 Year Responsibilities: 1. AI-Based Scheduling Algorithm Development Develop and refine scheduling models using: Constraint Programming Mixed Integer Programming (MIP) Metaheuristic Algorithms (e.g., Genetic Algorithm, Ant Colony, Simulated Annealing) Reinforcement Learning or Deep Q-Learning Translate shop floor constraints (machines, manpower, sequence dependencies, changeovers) into mathematical models. Create simulation environments to test scheduling models under different scenarios. 2. Data Exploration & Feature Engineering Analyze structured and semi-structured production data from MES, SCADA, ERP, and other sources. Build pipelines for data preprocessing, normalization, and handling missing values. Perform feature engineering to capture important relationships like setup times, cycle duration, and bottlenecks. 3. Model Validation & Deployment Use statistical metrics and domain KPIs (e.g., throughput, utilization, makespan, WIP) to validate scheduling outcomes. Deploy solutions using APIs, dashboards (Streamlit, Dash), or via integration with existing production systems. Support ongoing maintenance, updates, and performance tuning of deployed models. 4. Collaboration & Stakeholder Engagement Work closely with production managers, planners, and domain experts to understand real-world constraints and validate model results. Document solution approaches, model assumptions, and provide technical training to stakeholders. Qualifications: Bachelor’s or Master’s degree in: Data Science, Computer Science, Industrial Engineering, Operations Research, Applied Mathematics, or equivalent. Minimum 1 year of experience in data science roles with exposure to: AI/ML pipelines, predictive modelling, Optimization techniques or industrial scheduling Proficiency in Python, especially with: pandas, numpy, scikit-learn ortools, pulp, cvxpy or other optimization libraries, matplotlib, plotly for visualization Solid understanding of: Production planning & control processes (dispatching rules, job-shop scheduling, etc.), Machine Learning fundamentals (regression, classification, clustering) Familiarity with version control (Git), Jupyter/VSCode environments, and CI/CD principles Preferred (Nice-to-Have) Skills: Experience with: Time-series analysis, sensor data, or anomaly detection, Manufacturing execution systems (MES), SCADA, PLC logs, or OPC UA data, Simulation tools (SimPy, Arena, FlexSim) or digital twin technologies Exposure to containerization (Docker) and model deployment (FastAPI, Flask) Understanding of lean manufacturing principles, Theory of Constraints, or Six Sigma Soft Skills: Strong problem-solving mindset with ability to balance technical depth and business context. Excellent communication and storytelling skills to convey insights to both technical and non-technical stakeholders. Eagerness to learn new tools, technologies, and domain knowledge.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Roles and responsibilities The candidate will be responsible for developing predictive models using wide range of data sources (both structured and unstructured) The ideal candidate would be adept at understanding customer's business challenges and defineappropriate analytics approachCandidate should possess good communication and can communicate effectively with a wide range of audiences, both technical and businessAbility to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomesHe / She would be responsible for creating Presentations, reports etc to present theanalysis findingsTechnical expertise The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Ideal candidate should have hands on experience using Machine Learning techniques like Clustering, Logistic regression, Random Forest, Gradient Boosting Machine, SVM, Deep learning etc.Good knowledge of model development/data wrangling experience using PythonTools experience - Python (mandatory), R (preferred)Experience processing large amount of data using BigData technologies is preferredFunctional/Other expertiseGood exposure to BFSI domain especially insuranceEducational Qualification: Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutionsRelevant Experience: 5+ years of hands on experience in developing predictive modelsExperience with Agile project delivery methodology and knowledge of using JIRA is highly preferredPricing (Good to have)Work Experience on pricing modelling using Exposure and Experience rating methodologiesExperience in pricing tools/ raters on Excel or RulebookKnowledge on Frequency , Severity modelling and Loss cost modelling Qualifications Graduate

Primary Responsibilities: Must have a strong expertise of testing Embedded Devices, IOT, Firmware, MQTT protocol. Create and execute test plans and test cases based upon functional and product design specifications and report results as per QA policies and procedures. Help, define, promote, and ensure adherence to Quality assurance processes such as test plan, reviews, defect management, risk/complexity analysis, manual /automation regression test maintenance. Responsible for Not only the quality of the system but also in the way that it is released to customer. Review of requirements and design documents from a test automation and end user point of view Quickly grab Domain knowledge and apply it in project execution. Analyze, interpret, and report test results for both system integration and verification purposes. Provide (pro-active) feedback to development and system design for bringing the Quality culture. Flexible to work on manual testing and automation testing based on business priorities. Supports and participates in the engineering processes (SDLC, release management, etc.) Actively participate in the Agile ceremonies. Quickly gains hands-on knowledge of product. Understands the various use cases of the product, including other systems integration provides value to the users. Debug the Hardware setups in case of failure. Execute programs and automated scripts for testing purposes. Develop automation scripts to align with acceptance criteria. Functional test new products and regression test existing products during each QA release cycle Preferred Qualification and Experience: Engineering B.Tech EEE with specialized in Electronics, Electrical and Communications. At least 4+ years of professional experience in Strong Embedded Firmware Testing Experience At least 2+ Hands-on Experience in Embedded Linux OS/Ubuntu and shell scripting. Al least 3+ Hands-on Experience in creating the Hardware setup and debugging in case of setup failure. Experience in Automation testing by using LabView, Python or similar languages. Experience utilizing Agile Software Process Techniques Knowledge on communication protocols like REST (HTTP or CoAP), MQTT Etc. Experience in AWS cloud services and IOT concepts. Ability to use logic analyzers, Oscilloscope, emulators, Simulators, debuggers, and other diagnostic equipment.

Job Title: AI/ML Engineer – Python Experience Required: 4 to 5 Years Location: Office Job Type: Full-Time Job Summary: We are looking for a talented and experienced AI/ML Engineer with strong proficiency in Python to join our team. The ideal candidate will have 4–5 years of hands-on experience in developing machine learning models, implementing AI solutions, and deploying them into production environments. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models using Python. Work with large datasets to perform data cleaning, preprocessing, and feature engineering . Collaborate with cross-functional teams to define use cases, build prototypes, and deliver scalable ML solutions. Evaluate and tune model performance using techniques like cross-validation , hyperparameter tuning , etc. Use libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy , and OpenCV . Deploy ML models using APIs, Docker, cloud platforms (AWS, GCP, Azure) , or MLOps pipelines. Stay updated on the latest AI/ML research and apply relevant innovations to solve business problems. Document model workflows, performance metrics, and code for reproducibility and compliance. Required Skills & Qualifications: Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Data Science , or related field. 4–5 years of experience in AI/ML development using Python . Solid understanding of ML algorithms (classification, regression, clustering, NLP, computer vision). Experience with model deployment and productionizing AI solutions . Familiarity with cloud platforms (AWS Sagemaker, Azure ML, or GCP AI Platform) is a plus. Strong analytical, problem-solving, and programming skills. Ability to interpret business needs and translate them into technical solutions. Preferred Tools & Frameworks: Python , scikit-learn , TensorFlow , Keras , PyTorch Pandas , NumPy , Matplotlib , Seaborn Flask/FastAPI for deploying models MLflow , Docker , Git , Jupyter Notebooks Exposure to NLP , Computer Vision , or Reinforcement Learning is a plus Certifications (Optional but Preferred): TensorFlow Developer Certificate AWS Certified Machine Learning – Specialty Google Professional ML Engineer Microsoft Certified: Azure AI Engineer Associate

Job Description Master’s degree in Computer Science. 3+ years of SAP SuccessFactors experience, with at least 1 full lifecycle implementations. SAP SuccessFactors certification in one or more modules (EC, PMGM, LMS, RCM,Onboarding/Offboarding). Strong understanding of HR processes and system integration. Excellent problem-solving, stakeholder management, and communication skills. Experience with middleware tools (e.g., SAP CPI) is a plus Experience with SAP People Analytics or SAP Analytics Cloud (SAC). Knowledge of agile project delivery frameworks (Agile/Scrum). Familiarity with JIRA, Confluence, or other collaboration tools. Roles & Responsibilities 1. Functional Implementation & Configuration Lead full lifecycle implementation and support for SAP SuccessFactors modules (e.g., EC, LMS, PMGM, Recruiting, Onboarding, Succession). Conduct blueprinting sessions and prepare functional specifications. Configure SuccessFactors modules based on approved designs and business needs. Support system testing (SIT, UAT) and perform defect resolution. 2. Integration and Data Management Coordinate integration development between SAP SF and third-party systems using middleware (e.g., SAP CPI). Oversee data migration activities including data cleansing, mapping, and validation. Ensure compliance with GDPR, data privacy, and security standards. 3. Business Process Optimization Analyze and document current HR business processes and identify improvement opportunities. Recommend system enhancements to optimize HR operations and improve user experience. Translate business requirements into functional system design. 4. Client/Stakeholder Management Serve as subject matter expert for HR stakeholders and project sponsors. Manage client expectations, scope, and deliverables within project timelines and budgets. Provide guidance on change management and communication strategies during rollout. 5. Post-Go-Live Support Offer production support including ticket resolution, performance tuning, and system health checks. Conduct periodic system reviews and recommend enhancements. Assist with quarterly SAP SuccessFactors release management and regression testing.

Role and ResponsibilitiesWe are seeking a QA Tester to evaluate software quality through manual/automation testing. Your main responsibilities will include identifying and reporting bugs and glitches. The ideal candidate should have a keen eye for detail and excellent communication skills, along with experience in all relevant manual/automation testing techniques.You will execute acceptance and integration testing and participate in product design to ensure adequate test coverage meets end-user requirements. Hands-on experience with tools like JMeter and Postman (API) is required.Responsibilities Develop Test Plans, Test Scenarios, and Test Data to support development projects, requirements, and design documents. Execute test cases/scripts/scenarios on schedule (including functional, system integration, and regression testing) and report defects as necessary. Evaluate functional and non-functional requirements for testability and create suitable cases for automation. Develop and build a test automation strategy/framework as needed, focusing on maximizing reusability for regression. Perform mobile testing to ensure compatibility and functionality across various devices and platforms. Identify and troubleshoot GUI/UI/UX issues and suggest improvements for a better user experience. Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. Familiarity with Agile development methodologies. Ability to thrive in a fast-paced environment. Strong problem-solving skills and attention to detail Job Type: Full-time Pay: ₹10,324.92 - ₹25,000.00 per month Benefits: Food provided Health insurance Life insurance Paid sick time Paid time off

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are looking for a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. The person will lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics and Python/R/SAS is essential. Key Responsibilities Partner with the Clients’ Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. Examples include estimating marketing channel effectiveness or estimating sales force sizing. Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas. Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected. POC development or R package development for building internal capabilities and standardization of common modeling processes Lead & guide the team independently or with little support to implement & deliver complex project assignments. Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities. Provide thought leadership by contributing to whitepapers and articles at the BU and organization level Developing and delivering formal presentations to senior clients in both delivery and sales situations. Additional Information Interpersonal communication skills for effective customer consultation. Teamwork and leadership skills. Self-management skills with a focus on results for timely and accurate completion of competing deliverables. Make the impossible possible in quest to make life better. Bring Analytics to life by giving it zeal and making it applicable to business. Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact. Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients. Eligibility Criteria Required Experience ✓ Minimum of 4-7 years of experience in data analytics ✓ Desired 2-4 years of relevant experience in Healthcare/ Lifesciences/ Pharmaceutical domain. Technical Skills Proficient in Python or R for statistical and machine learning applications. Expertise in a wide range of techniques, including Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. Build & train neural network architectures such as CNN, RNN, LSTMs and Transformers. Experience in Omni Channel Analytics for predicting the Nest Best Action using the Advanced ML/DL/RL algorithms and Pharma CRM data Hands-on experience in NLP & NLG, covering topic modeling, Q&A, chatbots, and document summarization. Proficient in LLMs (e.g., GPT, Lang chain, llama index) and open-source LLMs Cloud Platforms: Hands-on experience in Azure, AWS, GCP, with application development skills in Python, Docker, and Git. Good To Have Skills Exposure to big data technologies such as Hadoop, Hive MapReduce etc. Qualifications B.Tech / Masters in a quantitative discipline (e.g. Applied Mathematics, Computer Science, Bioinformatics, Statistics; Ops Research, Econometrics) Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: r,machine learning,omni channel analytics,nlg,nlp,gcp,sas,azure,hive mapreduce,aws,git,natural language processing,docker,llm,data analytics,deep learning,python,big data technologies,statistical modeling,generative ai,cloud platforms (azure, aws, gcp)

Job Title* Automation Test Engineer (Python & Networking) Job Description Job Description: QA Engineer – Python & Networking Job Summary: We are seeking a skilled and detail-oriented QA Engineer with 4–5 years of experience in automation testing using Python and Pytest. The ideal candidate will have a strong background in networking, and preferably experience in the Cable Modem domain and RDK-B (Reference Design Kit for Broadband). You will be responsible for designing, developing, and executing automated test scripts to ensure the quality and reliability of our networking products. Key Responsibilities: Design and implement automated test cases using Python and the Pytest framework. Develop and maintain test suites for functional, regression, and performance testing. Collaborate with development and product teams to understand requirements and ensure comprehensive test coverage. Analyze test results, identify defects, and work closely with developers to resolve issues. Perform manual testing when necessary to validate edge cases or complex scenarios. Work with networking protocols and devices, especially in the Cable Modem domain. Validate and verify features and fixes in RDK-B based systems. Maintain documentation related to test plans, test cases, and test results. Experience 4-5 years

As a member of our Technology team, your day will be all about problem-solving and building. You'll design, develop, and maintain systems that power Meritto, working with cutting-edge tools to create solutions that scale and innovate. Each line of code you write makes a tangible difference in how we deliver value to our users We are looking for a skilled and proactive QA Automation Lead with 4–5 years of experience in developing and maintaining automation frameworks. The ideal candidate will have a strong background in Python, particularly with pytest, and hands-on experience with continuous integration tools like Jenkins. You will lead the QA automation efforts, contribute to the strategic direction of automation, and ensure the delivery of high-quality software. Job Description: - ● Design, develop, and maintain robust automation frameworks using Selenium with Python. ● Lead the automation testing efforts and mentor a small team of QA engineers. ● Continuously enhance test coverage and quality metrics across projects. ● Collaborate with cross-functional teams to understand requirements and translate them into test strategies. ● Identify opportunities for test automation and implement best practices. ● Integrate test suites into the CI/CD pipeline using Jenkins. ● Be the final gatekeeper before live deployment ● Work with developers, designers, product managers ● Study product documents and specifications and prepare test cases. ● Defect logging and tracking through Defect Management tools. What we are looking for What we’re looking for ● MCA or B.Tech in Computer Science/IT engineering. ● Must have 4-5 years of experience in Test Automation ● Strong hands-on experience with Python and Selenium. ● The ability to handle multiple tasks effectively and the willingness to go the extra mile when required ● Good problem-solving, analytical skills, and communication skills ● Experience with both traditional SDLC and agile/scrum development ● Knowledge of different types of testing (functional, integration, regression, end-to-end, system etc.) ● Knowledge of performing database testing, script testing, and browser testing. ● Hands-on experience on issue tracking platforms preferred JIRA or Zoho Sprints. ●Basic knowledge of web concepts (HTML, web servers), relational and non-relational database management systems ● Experience with web service testing (REST and JSON, HTTP) ● Experience with version control tools like Git. Who we are At Meritto we believe in building more than just solutions. We’re redefining the way education connects with technology. As one of India’Largest Vertical SaaS + Embedded Payments platform, we’re on a mission to build the “Digital Backbone of Education Institutions” by simplifying how educational organization runs — from enrollment to lifecycle, advancement to finance, and beyond. Having mastered the art of student acquisition, we’re now expanding our horizons to cover the entire spectrum of running an educational organization—from managing the student lifecycle to driving student success and outcomes. What’s our work culture like? We work from the office in a dynamic, inclusive, and merit-driven space fueled by the energy of collaboration and creativity coming together.