1)Genpact is hiring for QA Software Engineer:
Hello friends there is golden opportunity from Genpact for the freshers of 2024. Genpact is hiring for the job position of QA Software Engineer. If you done any Bachelor’s degree with some good knowledge of IT industry or equivalent practical experience.so you can apply for this job here you will get 40k per month salary.The job position is for Bengaluru, Karnataka, India locations.So Read full article and apply ASAP.
About Genpact
Genpact is a global professional services and solutions firm delivering outcomes that
shape the future. Our 125,000+ people across 30+ countries are driven by our innate
curiosity, entrepreneurial agility, and desire to create lasting value for clients.
Genpact has good work culture, good for skill development and provide learning platforms.
Job security is there for sure. Overall, it’s a great place to grow and acquire new skills. Good
for fresher’s.
There range of service includes Finance & Accounting, Collections and Customer Service,
Insurance, Supply Chain & Procurement, Analytics, Enterprise Application, IT Infrastructure
and Management.
Genpact Freshers Career 2024
Company Name | Genpact |
Post Name | QA Software Engineer |
Salary | 40k Month |
Batch | 2024 & Recent |
Branch | CS,IT |
Qualifications | Any Graduate |
Experience | Freshers/Experience |
Job Location | Bengaluru, Karnataka, India |
Job Overview:
To Make sure tests are completed and results are obtained within the specified timeframe.
Detect, document, and monitor software defects and problems.Conduct functional,
performance, security, and regression tests on software offerings.
Stay informed about the newest testing tools, methodologies, and techniques.
Education:
Bachelor’s degree with some good knowledge of IT industry.
Experience :
Fresher’s are also welcomed with some sort of knowledge for the programing languages.
Experience of 2-4 years in programing or on paper QA experience in previous organisation.
Skills required for this Position:
- Understanding of software testing methodologies.
- Understanding of software testing principles.
- Proficient knowledge of Manual testing.
- Proficient knowledge of automation testing.
- Skilled in testing tools such as JIRA, Selenium, Appium Also able to test Other frameworks to develop and execute tests.
- Expertise in testing.
- Expertise in quality assurance.
- Communication skills and Problem solving.
Job description:
- Ensure that tests are conducted and results are obtained within the allocated time frame.
- Create and implement test plans to verify software functionality meets requirements and
specifications. - Detect, report, and monitor software defects and issues.
- Perform functional, performance, security and regression testing of software products.
- Offer recommendations and feedback to enhance the quality of the software
development process across teams. - Communicate test results and defects to the development team and stakeholders,
collaborating on their resolution. - updated with the latest testing tools, techniques, and methodologies.
2)JP MORGAN is hiring for Applied Artificial Intelligence & Machine Learning:
Company Name | JP MORGAN |
Post Name | Applied Artificial Intelligence & Machine Learning |
Salary | 7LPA |
Batch | 2024 & Recent |
Branch | CS,IT |
Qualifications | Bachelor’s degree in equivalent field mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields . |
Experience | Freshers/Experience |
Job Location | India |
About company:
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. There history spans over 200 years and today they are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Job Description :
At JP Morgan Corporate Investment Bank, our Applied AI and Machine Learning team harnesses advanced techniques and unique data assets to enhance business decisions. In this position, you’ll join our leading data analytics team, driving innovation in financial applications such as business intelligence generation, predictive modeling, and automated decision-making.
Our scope encompasses all areas of Corporate Investment Banking, offering outstanding opportunities across various functions including Controls, Compliance, Legal, Finance, Operations, and Digital Investment Banking.
Education qualification:
Bachelor’s degree in equivalent field mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields . Experience in SQL. Experience in python. Experience in Q query languages for KDB. Also preferable Experience with quantitative methods in finance: Probabilistic modeling; Liquidity profiling; Reinforcement Learning; Optimization methods. Experience with Network Analysis.
Capabilities and skills Required for this Job:
- Proficiency in Time Series Analysis, Forecasting, and Statistical methods coupled with deep expertise in financial markets, including experience with equities, bonds, or commodities trading datasets.
- Proficient in Network Analysis and adept at utilizing open-source models, machine learning APIs, and computational packages. Strong communication and interpersonal skills, with expertise in both written and verbal communication.
- Skilled in Python programming and proficient in git version control.
Job responsibilities:
- Lead comprehensive research initiatives, including problem formulation, data gathering, hypothesis generation, model and algorithm development, experimentation, result synthesis, prototype application building, research significance communication, and model deployment, adhering to all pertinent processes and governance protocols.
- Take into account potential risks in the development of machine learning solutions and prediction/classification systems.
- Construct and train production-grade ML models on extensive datasets to address diverse business needs within the firm.
- Create quantitative and machine learning models tailored for market data analysis. 5. Create frameworks for explaining AI/ML model processes.
- Examine trading data, identifying patterns and trends to uncover potential market anomalies.
- Collaborate with Markets technology to pinpoint and address data gaps, curating datasets for modeling purposes.
- Lead intricate projects necessitating alignment and collaboration across multiple organizational units.