Test Automation Engineer

JD

·       Minimum 4-18 Years of Core Java Programming with spring boot Framework,Design patterns Concurrent Programming, Multi-threading (Good knowledge in Executor service, Forkjoin pool and other threading concepts)

·       Good knowledge of the JVM with an understanding of performance and memory optimization.

·       Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

·       Excellent knowledge on collections like, Array List, Vector, LinkedList, Hashmap, HashTable, HashSet is mandate.

·       Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

·       Expert level understanding of Object Oriented Concepts and Data Structures

Location - Only Bangalore

Notice period - Immediate or Serving

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Greetings!

We are hiring candidates for the role "Web Application Developer" in one of the top manufacturing MNC's.

Required Skill Set: (Angular, Angular JS) and Dot Net Core.

Job Description:

Years Of Experience: 3 – 4 Years

We are looking for a dynamic UI/UX designer who will be responsible for the user experience (UX) and user interface (UI) design of our various digital assets. You will ensure that all elements of the online user experience are optimized for improved usability, usefulness, and exceptional visual design.

The successful candidate will evidence a passion for delivering adaptive and creative solutions to UI/UX design problems by staying up to date with best practices and emerging trends in user experience design and user interface technology.

UI UX Designer Responsibilities:

· Investigating user experience design requirements for our suite of digital assets.

· Developing and conceptualizing a comprehensive UI/UX design strategy for the brand.

· Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes.

· Designing UI elements and tools such as navigation menus, search boxes, tabs, and widgets for our digital assets.

· Testing UI elements such as CTAs, banners, page layouts, page designs, page flows, and target links for landing pages.

· Collaborating with the marketing team, and internal and external designers to ensure the creation and delivery of tailored experiences for the digital user.

· Providing advice and guidance on the implementation of UX research methodologies and testing activities in order to analyze and predict user behavior.

· Adhering to style standards on typography and graphic design.

UI UX Designer Requirements:

· A bachelor's degree and a minimum of 3 years UI/UX design experience for digital products or services.

· A portfolio of professional UI/UX design work for both web and mobile platforms.

· Working knowledge of the following technologies and software: Sketch, InVision, Visio, HTML, CSS (SCSS), iOS, Android, Design Systems, and Adobe Creative Suite.

· A team player but can work independently too.

· Excellent written and verbal communication skills.

· Multi-tasking and time-management skills, with the ability to prioritize tasks.

Responsibilities:

• Must have hands-on working experience in NodeJS with Typescript
• Must have experience of large size product development process
• Must have detailed knowledge of designing and developing performant REST APIs 
• Must have hands-on experience on Postgres DB and MongoDb / any NoSQL DB 
• Must be comfortable working with git and CI CD pipelines and deployment strategies
• Should be able to build a new team and work with your engineers and mentor them
• Collaborate with cross-functional teams to define, design, and ship new features
• Ensure the performance, quality, and responsiveness of applications
• Identify and correct bottlenecks and fix bugs
• Continuously discover, evaluate, and implement new technologies to maximise development efficiency
• Should be open to learn new domain and work in fast paced environment 
• Responsible to deliver end to end module/product/project scope

Requirements:

• 4+ years of experience as a Full Stack Developer with a strong focus on Nodejs with TypeScript and React JavaScript
• Solid understanding of web application architecture, including RESTful API design and development
• Experience with front-end development using tailwind , bootstrap ,HTML, CSS, and JavaScript, typescript
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills

As a presales manager, you will work closely across various verticals such as product development, engineering, sales and marketing, and project teams/customer relations to understand internal product and service capabilities. Build marketing and sales collaterals showcasing the company’s offerings and capabilities

Role will also include understanding the customer’s needs and building suitable solutions, working closely with engineering, delivery, and sales teams.  You will also be required to actively understand customer preferences and predict future needs for product development.

Key Responsibilities:

• Engagement with the customers and understanding of their needs and putting together solutions (products and services) that are aligned with the customers’ demands. 
• Responsible for supporting the business development team in putting together compelling proposals in response to RFPs.
• Responsible for bringing in industry/vertical specific expertise into building the solution and validating technical solutions from the service delivery team.
• Coordinating with 3rd party service providers and integrating their solution components into the overall proposals.
• Plan sales strategies in response to market and competitors’

actions.

• Work in sync with the product development team and develop

sustainable and commercially viable products.

• Understand customer needs and make sales presentations.
• Liaise with the marketing team to undertake demand-generating

activities such as trade shows, exhibitions or customer workshops.

• Prepare sales proposals and train sales representatives/executives

from time to time.

• Preparation of presentations about the products or services with their value proposition articulated for the usage of the sales team.
• Creation of marketing concepts and responding to customers’ RFPs and RFI’s for our local and global sales teams.
• Use domain expertise to articulate customer requirements appropriately to product and development teams
• Prepare and deliver solution-based product presentations and

demonstrations to customers.

• Execute on customer proof of concepts (POCs).
• Strong interpersonal skills, including the ability to present to an audience from C-Level to End User, clearly articulate the value Profile products will bring to an organization, gain trusted advisor respect, and help influence, make well-executed systems presentations and clearly articulate the product’s value.

What you need to have:

Job Description :

- Bachelors/Masters degree in Computer Science, Computer Engineering or equivalent combination of technical education and experience.

- 8+ years of industry experience, including at least 4 years of hands-on testing and 2 years as a manager.

- Strong knowledge of QA methodology, Testing tools and Test Automation.

- Experience defining automation strategy and influence planning to achieve automation growth.

- Experience troubleshooting complex systems and root causing customer facing software issues.

- Experience with a number of different programming languages and test automation technologies.

- Problem-solving skills and the abilities to analyze quantitatively, scope technical requirements and effectively prioritize program deliverables.