Mobile testing • Web testing • Cross-browser testing • Cloud infrastructure • Real Devices
501 - 1000
💰 $3.8G Series B on 2021-06
September 16
AWS
Azure
Cloud
D3.js
ETL
Google Cloud Platform
Hadoop
JavaScript
Keras
NoSQL
Pandas
Python
PyTorch
Scikit-Learn
Spark
SQL
Tensorflow
Go
Mobile testing • Web testing • Cross-browser testing • Cloud infrastructure • Real Devices
501 - 1000
💰 $3.8G Series B on 2021-06
• 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. • Work with diverse data sources to extract features, develop ETL pipelines, utilise reinforcement learning, and either create new models or fine-tune existing ones. • Demonstrate proficiency in traditional application engineering and a knack for defining and solving both closed and open-ended problems. • Work across teams to define AI goals, lead AI initiatives, and mentor junior engineers. • Implement strategies for model optimisation, ensuring scalability and efficiency. • Uphold AI ethics, ensure data privacy, and comply with relevant regulations.
• Educational Qualification: Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. • Professional Experience: 5-10 years in product engineering, with a significant focus on AI/ML projects. • Strongly favourable for experience in building recommendation engines, conducting feature engineering, developing neural networks, and designing ETL pipelines. • Technical Proficiency: Expertise in several or similar technologies, such as Deep learning frameworks (TensorFlow, PyTorch, Keras). • Proficiency in Python/R or Equivalent Tech Stack Libraries (scikit-Learn, Pandas, Matplotlib, Seaborn, D3.js). • Familiarity with Big Data technologies (Hadoop, Spark) and data warehousing solutions. • Excellent communication skills, ability to work in cross-functional teams, and experience in agile development environments.
• Medical insurance for self, spouse, upto 2 dependent children and Parents or Parents-in-law up to INR 5,00,000 • Gratuity as per payment of Gratuity Act, 1972 • Unlimited Time Off to ensure our people invest in their wellbeing, to rest and rejuvenate, spend quality time with family and friends • Remote-First work environment that allows our people to work from anywhere in India • Remote-First Benefit for home office setup, connectivity, accessories, co-working spaces, wellbeing to ensure an amazing remote work experience
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