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Who are we and what do we do?
BrowserStack is the world's leading software testing platform powering over two million tests every day across 19 global data centers. BrowserStack's products help developers build bug-free software for the 5 billion internet users accessing websites and mobile applications through millions of combinations of digital environments—devices, browsers, operating systems, and versions. We help Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality software at speed by moving testing to our Cloud. With BrowserStack, Dev and QA teams can move fast while delivering an amazing experience for every customer.
BrowserStack was founded by Ritesh Arora and Nakul Aggarwal in 2011 with the vision of becoming the testing infrastructure for the internet. We recently secured $200 million in Series B funding at a $4 billion valuation in June 2021.
At BrowserStack we solve real problems—each day is a unique challenge and an opportunity to make a difference. We strive to be open, transparent, and collaborative, so no feat is too big to achieve. BrowserStack is an extension of its people and a place where they can grow both professionally and personally. To that effect, we’re humbled to be recognized by leading organizations around the world:
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BrowserStack is Great Place to Work-Certified™ 2020-21
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Named “SaaS Startup of the Year” in 2022 by SaaSBOOMi
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Ranked in Forbes Cloud 100 in 2021 - for the second time
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Featured in LinkedIn Top Startups India 2018
Major Responsibilities
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Summary: Integral role in designing and developing robust data pipelines and models to drive AI features within existing products and facilitate the creation of new products.
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Data Processing and Model Innovation: Work with diverse data sources to extract features, develop ETL pipelines, utilise reinforcement learning, and either create new models or fine-tune existing ones.
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Traditional Software Engineering: Demonstrate proficiency in traditional application engineering and a knack for defining and solving both closed and open-ended problems.
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Collaboration and Leadership: Work across teams to define AI goals, lead AI initiatives, and mentor junior engineers.
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Performance Optimisation: Implement strategies for model optimisation, ensuring scalability and efficiency.
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AI Ethics and Governance: Uphold AI ethics, ensure data privacy, and comply with relevant regulations.
Requirements
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Educational Qualification: Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
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Professional Experience:
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5-10 years in product engineering, with a significant focus on AI/ML projects.
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Advanced degree holders with at least 1 year of specialised experience are preferred.
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Strongly favourable for experience in building recommendation engines, conducting feature engineering, developing neural networks, and designing ETL pipelines.
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Technical Proficiency: Expertise in several or similar technologies, such as
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Deep learning frameworks (TensorFlow, PyTorch, Keras)
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ML algorithms like KNN, SVM, Decision Trees, DBSCAN, Random Forests, Gradient Boosting, etc.
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Experience with cloud services (AWS, GCP, Azure).
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Experience with Generative AI and Trends in the Industry is a plus.
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Proficiency in Python/R or Equivalent Tech Stack
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Libraries (scikit-Learn, Pandas, Matplotlib, Seaborn, D3.js)
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Data Skills: Expertise in data integration, ETL processes, and working with SQL/NoSQL databases. Familiarity with Big Data technologies (Hadoop, Spark) and data warehousing solutions.
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Software Development Skills: Solid foundation in software development principles, coding standards, and documentation.
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Analytical and Problem-Solving Skills: Ability to analyse complex data sets, derive insights, and solve sophisticated problems with innovative solutions.
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Communication and Collaboration: Excellent communication skills, ability to work in cross-functional teams, and experience in agile development environments.
Benefits:
In addition to your total compensation, you will be eligible for following benefits, which will be governed by the Company policy:
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Medical insurance for self, spouse, upto 2 dependent children and Parents or Parents-in-law up to INR 5,00,000
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Gratuity as per payment of Gratuity Act, 1972
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Unlimited Time Off to ensure our people invest in their wellbeing, to rest and rejuvenate, spend quality time with family and friends
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Remote-First work environment that allows our people to work from anywhere in India
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Remote-First Benefit for home office setup, connectivity, accessories, co-working spaces, wellbeing to ensure an amazing remote work experience
