Sr. Staff Architect

About The Company

Opening for IT MNC Company

Role: Talent Acquisition (Specialist / Manager)

Job Location : Andheri East ( Chakala)

Exp : 4 to 12 years

Working Days: 6 Days a Week

Key Responsibilities

Desired Skills

4-12 years of experience in HR with major exposure in Talent

Acquisition, preferably in the IT industry.

• Bachelor’s or Master’s degree in Human Resources (Mandatory)

Role: Data Analyst (Apprentice - 1 Year contract)

Location: Bangalore, Hybrid Model

Job Summary: Join our team as an Apprentice for one year and take the next step in your career while supporting FOX’s unique corporate services and Business Intelligence (BI) platforms. This role offers a fantastic opportunity to leverage your communication skills, technical expertise, analytical and problem-solving competencies, and customer-focused experience.

Key Responsibilities:

·     Assist in analyzing and solving data-related challenges.

·     Support the development and maintenance of corporate service and BI platforms.

·     Collaborate with cross-functional teams to enhance user experience and operational efficiency.

·     Participate in training sessions to further develop technical and analytical skills.

·     Conduct research and analysis to identify trends and insights in data.

·     Prepare reports and presentations to communicate findings to stakeholders.

·     Engage with employees to understand their needs and provide support.

·     Contribute insights and suggestions during team meetings to drive continuous improvement.

Qualifications:

·     Bachelor’s degree in Engineering (2024 pass-out).

·     Strong analytical and technical skills with attention to detail.

·     Excellent communication skills, both verbal and written.

·     Ability to work collaboratively in a team-oriented environment.

·     Proactive attitude and a strong willingness to learn.

·     Familiarity with data analysis tools and software (e.g., Excel, SQL, Tableau) is a plus.

·     Basic understanding of programming languages (e.g., Python, R) is an advantage.

Additional Information:

• This position offers a hybrid work model, allowing flexibility between remote and in-office work.
• Opportunities for professional development and skill enhancement through buddy and mentorship.
• Exposure to real-world projects and the chance to contribute to impactful solutions.
• A supportive and inclusive team environment that values diverse perspectives.

Job Title: Senior QA Engineer – Manual Testing (Hardware Focused)

Location: Navi Mumbai (Only local candidates from Mumbai/Navi Mumbai will be considered)

Work Mode: 5 Days Working | Work From Office

Experience Required: 5+ Years

Notice Period: Immediate Joiners or Candidates Who are already serving or served notice period.

About the Role:

We are looking for an experienced and detail-oriented Senior Manual QA Engineer with strong proficiency in hardware-based and emulator-driven manual testing. The ideal candidate will also possess 1–2 years of hands-on experience in Java, ideally for scripting or basic automation tasks. This role is ideal for someone with a background in hardware testing looking to contribute to highly integrated systems involving both hardware and software components.

Key Responsibilities:

• Design and execute manual test cases focused on hardware-integrated systems, embedded environments, and emulators.
• Translate complex system requirements and user stories into well-structured, actionable test cases.
• Plan and maintain comprehensive test documentation ensuring traceability and thorough coverage.
• Identify, document, and follow up on bugs and inconsistencies across releases and change requests.
• Collaborate with development and hardware teams to ensure robust system validation across interfaces.
• Utilize Java (1–2 years' experience) to support test scripting or automation where applicable.

Must-Have Skills:

• Manual Testing Expertise: 5+ years in QA with a primary focus on hardware/manual testing.
• Hardware & Emulator Testing: Proven experience in testing physical devices, hardware components, or emulators.
• Java Scripting: 1–2 years of experience in Java for test scripting or automation utilities.
• Proficiency in test case design, defect tracking (e.g., JIRA), and understanding of testing life cycle models.
• Exposure to DevOps practices, CI/CD pipelines, and cloud platforms like AWS.
• Hands-on experience with SQL and working knowledge of databases.

Preferred Skills:

• Experience with Python or other test automation frameworks.
• Testing certifications (ISTQB, CP-SAT, CP-MAT, etc.)
• Familiarity with location-based technologies (GPS, mapping, navigation systems).
• Strong analytical mindset with excellent communication and collaboration skills.

Responsibilities:

●     Develop and execute test cases, scripts, plans, and procedures (manual and automated) to ensure the quality of software products

●     Identify, record, document thoroughly, and track bugs

●     Perform thorough regression testing when bugs are resolved

●     Collaborate with cross-functional teams to ensure quality throughout the software development life cycle

●     Investigate the causes of non-conforming software and provide solutions

●     Team handling capabilities

Requirement:

●     Bachelor’s degree in computer science, Engineering, or related field

●     6+ years of experience in software testing

●     Strong knowledge of software QA methodologies, tools, and processes.

●     Experience in writing clear, concise, and comprehensive test plans and test cases

●     Hands-on experience with both white box and black box testing

●     Experience working in an Agile/Scrum development process using tools like JIRA.

●     Hands-on Experience in Behavior-Driven Framework, e.g. Cucumber

●     Experience in web automation testing using tools like selenium and API automation tools like RestAssured, karate etc.

●     Experience with performance and/or security testing is a plus

●     Strong analytical and problem-solving skills

●     Excellent communication and teamwork skills

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.