Manager - Product Designer Top b2c product company only

Role Overview:

We are seeking an experienced QA professional proficient in testing to ensure the delivery of high‑quality software products. You will design and execute comprehensive test strategies, develop and maintain automated test scripts, and collaborate closely with development and product teams to identify and resolve defects. This role requires a strong understanding of QA methodologies, attention to detail, and a passion for continuous improvement in software quality.

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Key Responsibilities:

• Design, develop, and execute detailed manual test cases based on functional and technical requirements.

• Develop, maintain, and execute automated test scripts using industry‑standard tools and frameworks.

• Identify, document, and track software defects, collaborating with developers to ensure timely resolution.

• Conduct regression, integration, performance, and security testing as needed.

• Participate in the planning and review of test strategies, test plans, and test scenarios.

• Ensure comprehensive test coverage and maintain accurate test documentation and reports.

• Integrate automated tests into CI/CD pipelines for continuous quality assurance.• Collaborate with cross‑functional teams to understand product requirements and deliver high‑quality releases.

• Participate in code and test case reviews, providing feedback to improve quality standards.

• Stay updated with emerging testing tools, techniques, and best practices.

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Required Skills & Qualifications:

• Proven experience in software testing.

• Strong knowledge of QA methodologies, SDLC, and STLC.

• Proficiency in at least one programming/scripting language used for automation (e.g., Java, Python, JavaScript).

• Experience with automation tools such as Selenium, Appium, or similar.

• Ability to write and execute complex SQL queries for data validation.

• Familiarity with Agile/Scrum methodologies.

• Excellent analytical, problem‑solving, and communication skills.

• Experience with bug tracking and test management tools (e.g., JIRA, TestRail).

• Bachelor’s degree in Computer Science, Engineering, or related field.

#HiringNow

We are looking "MSBI Developer" for Reputed Client @ Chennai Permanent Role.

Experience: 2 - 5 Yrs

Roles & Responsibilities:

• Have good knowledge SSIS & SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems.

• Strong in Business Intelligence (BI) and Other reporting tool

• Strong in RDBMS concepts.

• Hands on experience in SSIS / SSRS Projects.

• Capable of troubleshooting common database issues

• Apply data modeling techniques to ensure development and implementation support efforts meet integration and performance expectations

• Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end.

• Tuning T-SQL queries to improve performance.

• Refine and automate regular processes, track issues, and document changes

• Hands on experience in TFS & Agile process is added advantage.

Qualifications:

• Bachelor or Master degree in Computer Science, Engineering or a related subject

• Proven Software Development experience of 2-3 Years in designing and developing applications using SSIS and SQL Server

• Extensive Knowledge: SQL Server Integration Services (SSIS) / SQL Server/ SSRS , Any reporting development knowledge, Data Modelling

• Strong in RDBMS and Writing SP / Functions

• Minimum 2-3 years’ experience working in SQL Server development activity and SSIS/SSRS development or above.

Position: Team Leader

Shift Timing: 10 AM to 6 PM - Monday to Saturday (Remote)

Company: JNJ Technologies & Services LLP - http://jnjservices.co.in/

Language: English

Salary: 5 LPA to 6 LPA

We are looking for a result-driven Team Leader to be responsible for monitoring and supervising a team of consultants to achieve the organization’s objectives and increase sales. You will be responsible for providing guidance, instruction, training, and leadership skills to inspire the team to perform at their optimum. You should create a cohesive team that works efficiently together to maximize the sales team's potential.

Requirements:

• A bachelor's or associate's degree in marketing, sales, or a related field may be advantageous.

• Experience in sales is necessary.

• Strong sales ability, business acumen, and commercial awareness.

• Excellent communication, interpersonal, and customer service skills.

• Strong leadership abilities.

• Good time management, strategic planning, and organizational skills.

Responsibilities:

• Identifies the primary concerns, long-term strategies, and targets to be assigned to the team members.

• The responsibilities of a Team Leader Own recruiting, objectives setting, coaching and performance monitoring of sales representatives.

• Develops the product sales blueprint, a set of standards for sales associates to conform to, encompassing lead filtering and deal modeling.

• Guides sales personnel to function efficiently by capitalizing on their passions and capabilities.

Roles and Responsibilities

• Architecting and building server and browser-based systems that integrate with our hardware.
• Creating a great user experience by building both back-end infrastructure and user-facing features.
• Performing code reviews and having your code reviewed by peers.
• Creating technical requirements, software design specifications, and other architectural documentation.
• Work closely with UX/UI designers to translate design concepts into functional user interfaces, ensuring a smooth user experience. 
• Implement security and data protection measures throughout the development process. 
• Troubleshoot and debug issues across the entire application stack, from frontend to backend. 
• Optimize application performance and ensure its responsiveness across various devices and browsers, applications for maximum speed and scalability.
• Producing software solutions that inherently support testing at multiple levels prior to delivery, including the decomposition of functions, interface-based design, dependency injection, unit testing, test-driven design, service level testing, and supporting user interface automation testing.
• Modifying and creating code to enable successful automated builds, deployment, and testing.
• Effectively leveraging tools and best practices to enable continuous integration and frequent, reliable releases.
• Monitoring system performance to ensure efficient operations and results.
• Collaborating with cross-functional teams, including designers, product managers, and other developers, to gather and understand project requirements.
• Collaborating with DevOps teams to deploy applications and ensure seamless integration with the production environment.
• Designing and developing high-quality, scalable, and efficient web applications using the MERN stack.
• Developing and implementing front-end components using React.js, ensuring a responsive and user-friendly interface.
• Building RESTful APIs and server-side applications using Node.js and Express.js.
• Creating and maintaining databases using MongoDB, ensuring data integrity and performance.
• Writing efficient and reusable code while adhering to best practices and coding standards.
• Conducting thorough testing and debugging of applications to identify and fix any issues or bugs.
• Mentoring and providing guidance to junior developers, sharing your knowledge and expertise.

Must-Have Skills

• Should have 3-6 years of proven experience as a MEAN/MERN Stack Developer.
• Should have proficient in JavaScript (React/Angular/Vue), with significant experience in Node.js and Express.js.
• Should have extensive experience with React.js and its ecosystem (Redux, React Router, etc.).
• Should have In-depth knowledge of server-side development using Node.js and Express.js.
• Should have experience with MongoDB or other NoSQL databases, including data modeling and querying.
• Should have a solid understanding of RESTful APIs and experience in building them.
• Should be proficient in MERN Full Stack Developer with CSS modules and theme management, with a strong grip on developing custom components. 
• Should be Skilled in building scalable, user-friendly applications using React.js, Node.js, Express.js, and MongoDB.
• Should be proficient in using UI component libraries like MUI and styled-components for efficient and dynamic web design.
• Should be proficient in frontend API caching with React hooks for optimized performance and seamless user experiences.
• Should have familiarity with version control systems (e.g., Git) and agile development methodologies.
• Should have proficiency in Object-Oriented Programming (OOP) principles and design patterns.
• Should have experience with AWS cloud services.
• Should have experience with CI/CD technologies.
• Should have familiarity with newer specifications of ECMAScript (a scripting language specification on which JavaScript is based).
• Should have experience with data structure libraries (e.g., Immutable.js).
• Should have proficiency with common front-end development tools such as Babel( Which is a JavaScript compiler that is mainly used to convert ECMAScript 2015+ code into backwards-compatible JavaScript code that can be run by older JavaScript engines.), Webpack (to bundle JavaScript files for usage in a browser,), and NPM (Largest Software Registry (Library)).
• Should have ability to understand and translate business requirements into technical specifications.
• Should have familiarity with relational database systems, especially PostgreSQL.
• Should have experience in AWS with lambda functions

Good to Have Skills 

• Should have a Bachelor's degree in Computer Science or related field.
• Good interpersonal skills with the ability to present ideas in user-friendly language.
• Successful experience working in a team-oriented, collaborative environment.
• Proven analytical and problem-solving abilities.
• Should have excellent relationship and customer handling skills.
• Strategic thinker with strong influencing skills and the ability to build consensus.
• Strong action orientation; ability to make things happen.
• Facilitates team and stakeholder meetings effectively.

Experience with deploying applications on cloud infrastructure, preferably AWS

• Experience in using REST APIs with the front end

• Experience in handling webMap applications using leading webMap Javascript APIs like ReactJS Leaflet, Google Maps Javascript API and Geoserver management

• Experience with the Agile/Scrum development model

• Strong experience in code versioning using Git.

• Strong design, development, and implementation experience.

• Very good experience in React JS, React Leaflet and Redux

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.