QA Engineer

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

Domain: Automation Testing – Selenium Job Purpose

 • Thought leadership - Consult with the client and setup/guides a team to strategize, design, implement and run automation solution supporting variety of applications

• Technical leadership - Identify, evaluate, recommend, and optimize current automated testing processes and tools

• Define and implement test automation strategy including roadmap, tools, framework, and approach across project teams

• Oversee technological delivery of the recommended automation solution roadmap across project teams

• setting up end to end QA processes across Requirement Analysis, Test Strategy/Design and Test reporting

• Participate in design and architectural reviews of proposed automation solutions across project teams

 • Designing & implementing enterprise-wide QA strategy for variety of clients including complex applications across multiple tech stacks (involving both functional and automation testing)

• Planning, estimating (should be aware of robust models and how to use them) and tracking team’s work

• Status reporting: Track and report upon testing activities, including testing results, test case coverage, required resources, defects discovered and their status etc.

• Mentors/guides the team on technical knowhow

• Adhere to company project standards and guidelines Mandatory Skills & Experience

• 7-11 years of managing team experience and at least 4+ years of in-depth experience in establishing test automation frameworks, evaluating tools, and implementing continuous testing strategy

• Hands on framework development for a Green Field Project

• Strong hands-on experience in Java/JavaScript programming languages; java collection frameworks • Strong experience on QA Automation tools such as Selenium/Cucumber/Appium/SOAPUI etc.

• Strong exposure on UI or API automation, hands on Webservices/Microservices automation

 • Experience in CI/CD tools, such as Gitlab(preferable) / Jenkins

• Experience in Cloud tech preferably AWS

• Experience on Cloud Platforms such as Sauce Labs, Perfecto

• Functional tools like Selenium (mandate), Web driver IO, NightWatchJS, etc

• Should have basic knowledge of JMeter or any other equivalent Performance testing tool

• Sound Knowledge of methodologies and approaches such as Agile, BDD, DevOps etc.

• Industry experience on Financial Services is preferred.

About US Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value Additional Information

• Gender Neutral Policy

• 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)

• Generous parental leave and new parent transition program

• Flexible work arrangements • Employee Assistance Programs to help you in wellness and well being

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe, and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customersIntuitive is the fastest growing top-tier Cloud Solutions and Services company.

Job Description                                                                                                                                                                                                                                                 

• Experience in Forcepoint Proxy infrastructure with SSL inspection Experience in Cloud Proxy infrastructure Experience in Forcepoint DLP or any DLP tools knowledge of various security compliance requirements.
• Knowledge in different types of VPN , encryption standards, Certificates
• Knowledge in SIEM tools ( Alien vault / Qradar)
• Understanding of networking and core Internet protocols (e.g. TCP/IP, DNS, SMTP, HTTP, and distributed networks). Understanding of Cloud security Understanding of SSO and different authentication methodologies
• Should have hands-on knowledge on Forcepoint version upgrade

Minimum 5+ years in react

Must have worked on desktop application

Must have worked in frontend and backend both

5+ years of experience with React js, work closely with design, product management, and development teams to create elegant, usable, responsive, and interactive interfaces across multiple devices; experience with Electron js framework is a plus.

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following react.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

LocTruth is a location intelligence platform geared to map out business problems and provide data-backed solutions with the help of location data layered with business data. Our insights span from people to places, range from average footfall all the way down to a specific person’s movement patterns, anonymously ofcourse. With our insights, we support businesses in decision-making, problem-solving, and overall optimizing.Google Maps visualizes our world, we visualize a business’ world. 

The Job

We are looking to launch our solution into the market with the help of a solid Sales Development Representative. 

You would work closely with LocTruth’s founders to understand our solution, identify new opportunities, reach out to potential customers via email and LinkedIn, conduct discovery and demo calls.

• Develop sales opportunities by researching and identifying potential clients.
• Rolling out daily emails, calls, and research reports
• Create weekly newsletters, emails to attract clients
• Make outbound calls to drive sales targets which include:
• POCs
• Pilots
• Full-time clients
• Assess competitors by analyzing and summarizing competitor information and trends
• Create ideal customer profiles
• Participate on LinkedIn groups, online tech forums, subscribe to magazines and newsletters of complimentary brands.
• Handling all incoming customer queries on our sales email
• Prepare to be a part of and eventually deliver presentations/demos to potential clients
• Develop a sales funnel, spearhead and be willing to use a CRM platform, and present goals every week to management
• Work with design and marketing to create and execute sales decks, brochures, campaigns and other materials

Requirements

• Minimum Requirement: Bachelor’s Degree
• Must have 2-3 years of industry experience in selling Data/IT/SaaS products and concepts
• Excited to sell brand-new technology products
• Proficient in English 
• Consistent track record of documenting, synthesizing, and communicating results
• Team player who can take responsibility for anything from making a sales pitch to the CEO of a company to showing off your hobbies at a LocTruth team call
• Must be self-motivated, flexible, collaborative, and have an eagerness to learn.
• This is a remote position for now.

Bonus

• Experience with sales tools
• Experience with startups and working with founders
• Worked within the realm of geospatial data or location intelligence

Company culture

Now for the fun stuff...just kidding, we hope you find everything above to be the fun aspect of your careers. But just to give you some more insight into our company culture:

• Get on boarded with a “get to know us” session and meet our entire team.
• We promote an inclusive environment of all genders, backgrounds, likes, and dislikes.
• We’re casual - first name basis please.
• You get the chance to work remotely (mainly because of the raging pandemic) but be prepared to switch over to in-person as soon as the situation permits
• We’re a fun team and depending on the pandemic, we try to meet every month to get to know each other better.
• Play icebreakers and games to challenge our minds apart from work.
• Get integrated into the typical start up life that could be the next big success and work on a product you can truly be proud of!

Business Development Associate (BDA)

Description: You will start your journey at BYJU’S as an individual contributor working in a team to introduce and showcase the unique way in which BYJU’S-The Learning App help students learn better. You will also be responsible for mentoring these students and will play a role in their learning journey. Your key role will be to connect with students and parents across the country about one of the world’s most loved learning apps and how it will help students learn not just for exams, but way beyond. 

This is an individual contributor role in an employee-oriented, high performance environment that emphasizes on spreading the BYJU’s unique way of learning in your city. Your role will start with contacting potential customers (parents and students) to set up meetings, counsel the students on learning pedagogies and the BYJU’s personalised learning journey. You will be working 5 days a week with Mondays and Tuesdays being week-off. This hybrid model of sales will give you an exposure to the best of inside-sales and direct-sales. Please download the BYJU’s Learning App to understand the magic of the BYJU’s courses which has been widely accepted not just across thousands of towns in India but by millions of users across the globe. We look forward to having you on board Team BYJU’s. All the best!

Business Development Associate - Direct Sales (On-Field Profile) 

• Sector: Sales 
• Locations: Across India
• Working Days:5 days work week (Saturday and Sunday Mandatory working) 
• CTC: Rs. 10 Lakhs per annum (Rs.7 Lakhs per annum as Fixed pay and Rs. 3 Lakhs per annum as Incentive Pay) (Post Training)
• Rs. 5 Lakhs per annum ( Rs.3 Lakhs per annum as Fixed pay and Rs. 2 Lakhs per annum as Incentive Pay) During the Training program of 2 months
   

Business Development Associate - Inside Sales (Office Profile)

• Sector: Sales 
• Location: Bangalore, India
• Working Days: 5 days work week (Saturday and Sunday Mandatory working)
• CTC: Rs. 8 Lakhs per annum (Rs.5 Lakhs per annum as Fixed pay and Rs. 3 Lakhs per annum as Incentive Pay) (Post Training)
• Rs.5 Lakhs per annum ( Rs.3 Lakhs per annum as Fixed pay and Rs. 2 Lakhs per annum as Incentive Pay) During the Training program of 2 months 

• Highly effective communication
• Strong conviction
• High energy and enthusiasm
• Prior experience in sales and business development is an add-on
• Good grasp of school curriculum and learning