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Greetings from “AA Manpower Solutions” {Ref: JANANI} 

AA MANPOWER SOLUTIONS 

We are hiring quality maintenance Engineer for MNC Company.

Job Summary: 
Currently, we are hiring for the position of Production and Quality Maintenance Engineer based at Chennai location. Please refer the beneath job description and walk-in for Top MNC. 

Job Duties and Responsibilities: 

          Observing, learning and understanding a wide range of engineering skills and processes while under the instruction of skilled technical staff. 

         Develop new systems, processes, and equipment to ensure manufacturing is efficient and effective. 

         Investigate and analyse problems and devise solutions that save money, time, and materials. 

         Manage budgets and ensure project deadlines are adequately met according to standards and requirements. 

Desired Profile: 

Designation: GET (Graduate Engineering Trainee) and NEEM, On Role job Production Engineer/Quality Engineer/ Design Engineer /quality maintenance

Qualification: Diploma, B.E/ B.TECH - Mechanical Engineering, EEE, ECE AUTO Engineering 

Experience: 0 - 3yr. 

Salary: INR 1,40,000 – INR 2,80,000 P.A 

Nature of Job: Production or Quality ,maintenance

Job Type: Full-time 

Benefits 

Facility : 

 
  Bus + Canteen Available
  ESI + PF Available 

  8 hours of duty 

  Joining immediate 

Work Location: Chennai 

Interview Date: start to 01th February

Last date to apply: 29th February

Feel free to call us for any clarification [Call between 10 am to 5 pm] 

Interested candidates visit our office

Interview Venue; 

No. 24, F1, First Floor, 

BajanaiKoil 2nd street, 

Vadapalani, 

Chennai-600026 

Landmark: SIMS Hospital Backside 

(Above south Indian Movie Still camera Man Association) 

Regards,
Janani 

Job Title: QA Engineer (Manual & Automation Testing)

Experience: 4.5 to 7 Years

Location: Chennai

Last Working Date (Preferred Joining): On or before 10th August

Interview Process: Online Test → Technical Round 1 → Technical Round 2 → Client Round

Job Description:

We are seeking a skilled QA Engineer with a strong background in both Manual and Automation Testing. The ideal candidate should have hands-on experience in Java programming, a solid understanding of automation frameworks, and expertise in API testing.

Key Responsibilities:

• Develop and execute robust automation scripts for new feature testing.
• Enhance and maintain existing automation frameworks to support evolving testing needs.
• Monitor automation test executions and ensure consistency and reliability in results.
• Conduct cross-browser and cross-platform testing to ensure high coverage and quality.
• Identify process gaps in Quality Assurance and recommend improvements.
• Contribute to zero-defect delivery through thorough testing practices.
• Support non-functional testing initiatives including Performance, Security, and Localization.
• Collaborate with developers to ensure high code quality and adequate test coverage.
• Actively participate in Continuous Integration and Continuous Deployment processes.

Required Skills:

• Strong knowledge of Manual Testing methodologies and practices.
• Proficiency in Java programming with excellent problem-solving abilities.
• Experience with BDD frameworks, especially Cucumber.
• Practical experience with Selenium for automation testing.
• Good understanding and hands-on with API testing (both Manual and Automation) using tools like Postman and Rest Assured.
• Excellent verbal and written communication skills.

What you’ll do

• Build and ship features end-to-end using the MERN stack
• Use AI tools to speed up development, solve bugs, and learn new patterns
• Collaborate with product and design to turn ideas into UI + backend logic
• Write clean, reusable code with proper structure and Git practices
• Learn best practices in architecture, API design, and performance
• Take feedback, grow fast, and own your work

Must-Haves:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 2-3 years of experience with the MERN stack
• Good understanding of JavaScript (or TypeScript), REST APIs, and MongoDB
• Clear logic, curiosity, and the ability to Google smartly
• Eagerness to learn, experiment, and grow with the team
• Comfortable using AI tools to assist in dev

Nice-to-Have:

• Exposure to tools like Firebase, Next.js, or Vercel
• Any live projects, GitHub repos, or portfolio sites
• Basic understanding of cloud deployment 

·  4 – 5 years of experience in Front end development

·  2 years of experience using React and Redux

·  3 years of experience in using HTML, CSS

·  1 year of experience in any of the Headless CMS such as Ghost or Strapi or Cockpit.

·  2+ years using JavaScript consuming, displaying and updating data using Web APIs (JSON).

·  2+ years of experience using Material UI and JSS.

Responsibilities

• Assist in daily administrative tasks, such as copying, filing, and scanning documents
• Manage and maintain executives' schedules, appointments, and travel arrangements
• Coordinate meetings, including preparing agendas, taking minutes, and distributing relevant documents
• Handle incoming and outgoing correspondence, including emails, phone calls, and mail
• Maintain office supplies and equipment by monitoring inventory and placing orders as needed
• Assist in the preparation of reports, presentations, and other documents
• Schedule and coordinate office events, including meetings, training sessions, and conferences
• Perform general office duties, such as greeting visitors, answering phone calls, and organizing office space

Qualifications

• Proven experience as an administrative assistant or similar role
• Excellent organizational and time management skills
• Excellent Communication skills
• Experience in computer proficiency and Microsoft office suite
• Ability to multitask and prioritize tasks
• Attention to detail and problem-solving skills
• Discretion and confidentiality

We are looking for a dynamic Social Media Designer to be responsible for designing and posting original content on online platforms. The responsibilities of a Social Media Designer include posting content on social media, designing graphic material, and attracting consumers via social media.

To be successful as a Social Media Designer, you should be highly motivated, creative, and possess solid knowledge of marketing competencies. Ultimately, a top-notch Social Media Designer should be computer literate, highly organized, and able to work with little direction.

• Producing content to be posted online.
• Increasing traffic and appealing to target audiences.
• Creating posts, pages, and applications to attract customers.
• Using programming skills to build pages and applications.
• Measuring key performance indicators.

• Degree in Graphic Design or Computer Sciences.
• Good communication skills.
• Creativity and Graphic Design skills.
• Proficiency in Marketing disciplines.
• Must be self-motivated.
• Be able to produce original ideas.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred