Trainee Role at Wipro Limited
Location: Noida, New Delhi
Experience Required: 0 years
Number of Openings: 20
Job Description
Role & Responsibilities:
Technical Skills:
- Knowledge of Software Development Life Cycle (SDLC), SAS, and Mainframes principles/concepts.
- Ability to write and understand intermediate SQL queries.
- Principles of automation testing and some exposure to it might be desirable.
- Knowledge of system testing and software quality assurance best practices and methodologies.
- Ability to break down complex problems into smaller, manageable pieces with good analytical skills.
- Understanding of basic relational database concepts (e.g., table relationships, keys, SQL, and DB2 queries).
Communication and Excellence:
- Excellent communication skills (oral, written, and listening).
- Ability to share information concisely.
- Strong understanding of the organization’s goals and objectives.
- Takes ownership and responsibility for work assigned.
- Highly self-motivated and a team player.
Preferred Candidate Profile:
- Designation: Trainee
- Qualification: B.E / B. Tech (2023 Passed out)
- Service Agreement: 12 Months
- Shift Timings: 11.30 am to 9 pm
- Work Location: Noida
Perks and Benefits:
- Two transport options available within the hiring zone.
Role Details:
- Role: Manual Test Engineer
- Industry: IT Services & Consulting
- Department: Engineering – Software & QA
- Role Category: Quality Assurance and Testing
- Employment Type: Full Time, Permanent
Key Skills:
- SDLC Life Cycle
- SQL
- Logical Approach
- Problem Solving
- Agile
- Database Testing
- JIRA
- Verbal Communication
- Interpersonal Skills
Education:
- UG: B.Tech/B.E. in Any Specialization
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Software Engineer at NatWest Group
Location: Bangalore, India
Job Requisition ID: R-00233086
Job Description
Role Overview:
As a Software Engineer, you will be part of a feature team, engineering and maintaining innovative, customer-centric, high-performance, secure, and robust solutions. This role provides an excellent opportunity to build a broad network of stakeholders and advance your technical skills.
Responsibilities:
- Engineer complex and high-quality software, scripts, and tools.
- Collaborate with engineers, architects, and business analysts.
- Produce high-value software rapidly.
- Work in permanent teams responsible for the full software lifecycle.
- Optimize our software engineering capability.
- Design, produce, test, and implement working code.
- Work across the lifecycle from requirements analysis and design through coding to testing, deployment, and operations.
Skills and Qualifications:
- Background in software engineering, design, and architecture.
- Understanding of how your expertise supports customers.
- Strong communication skills to convey complex technical concepts.
- Knowledge of Informatica Power Centre, PLSQL, and databases is advantageous.
- Experience with code repositories, bug tracking tools, and wikis.
- Coding experience in multiple programming languages.
- Experience with DevOps and Agile methodologies.
- Ability to solve highly complex, analytical, and numerical problems.
- Experience with programming best practices around scalability, automation, virtualization, optimization, availability, and performance.
- Good collaboration and stakeholder management skills.
Our Tech Stack
- Front End: JavaScript, ReactJS, AngularJS
- Back End: Python, Java, Microsoft Dynamics
- DevOps: AWS, GitLab, Google Cloud Platform
- Data: Kafka, Hadoop, PostgreSQL, Snowflake
Click Here to Apply
Analyst-Data Science at American Express
Location: Gurgaon, Haryana, India
ID: 24007459
Purpose of the Role:
To manage and control model risk associated with Gen AI and Machine Learning-based models for marketing, credit, fraud, or other business/risk types. Responsibilities include conducting independent oversight, gap assessments, and AI/ML research to drive business impact and model excellence.
Responsibilities:
- Conduct independent oversight of enterprise-wide models, focusing on Gen AI and Machine Learning-based models.
- Conduct gap assessments and establish frameworks to strengthen model risk controls.
- Conduct AI/ML research to explore opportunities for model excellence and business impact.
- Communicate results to partners, senior leadership, and model committees.
Critical Factors to Success:
Business Outcomes:
- Challenge the conceptual soundness and purpose of predictive models.
- Maximize business returns by ensuring efficient and accurate models.
- Innovate modeling techniques and variable creation.
- Ensure modeling accuracy and enhance efficiency in existing processes using Machine Learning.
Leadership Outcomes:
- Lead with an enterprise perspective, connecting the role’s agenda to enterprise priorities.
- Challenge the status quo and bring continuous innovation.
- Demonstrate learning agility and make decisions with integrity.
- Lead with a digital mindset to deliver superior customer experiences.
Required Experience and Skills:
Past Experience:
- 0-3 years of experience in Large Language Models or big data workstreams.
Academic Background:
- MBA or Master’s Degree in Machine Learning, Computer Science, Statistics, or related fields from a top-tier institute.
Functional Skills/Capabilities:
- Hands-on model development or validation experience.
- Strong analytical and project management skills.
- Experience in applying advanced statistical techniques to solve business problems.
- Good verbal, written, and interpersonal skills.
- Ability to work within tight deadlines and adapt to changing priorities.
Technical Skills/Capabilities:
- Experience with data manipulation tools such as Python, R, or JAVA.
- Knowledge of Gen AI, Machine Learning, Artificial Intelligence, and advanced coding techniques.
- Proficiency in supervised and unsupervised learning techniques.
Behavioral Skills/Capabilities:
- Set the Agenda: Define what winning looks like, put enterprise thinking first, and lead with an external perspective.
- Bring Others With You: Build the best team, seek and provide feedback, and make collaboration essential.
- Do It The Right Way: Communicate clearly, make decisions quickly, and uphold the Blue Box Values with courage.
Benefits:
- Competitive base salaries
- Bonus incentives
- Support for financial well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model
- Generous paid parental leave policies
- Free access to global on-site wellness centers
- Free and confidential counseling support
- Career development and training opportunities