Data Science
Machine Learning (ML)RESPONSIBILITIES:
• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.
• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.
• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.
• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.
• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.
• You’ll be reporting directly to the head of the engineering and will be
instrumental in discussing and explaining the progress to top management and other stake holders.
• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.
REQUIREMENTS:
• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems
• Stay updated with latest research in machine learning esp. recommender systems and audio signals
• Have taken scalable ML services to production, maintained and managed their lifecycle
• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models
Minimum Qualifications
• 13+ years of industry experience doing applied machine learning
• 5+ years of experience in tech team management
• Fluent in one or more object oriented languages like Python, C++, Java
• Knowledgeable about core CS concepts such as common data structures an algorithms
• Comfortable conducting design and code reviews
• Comfortable in formalising a product or business problem as a ML problem
• Master’s or PhD degree in Computer Science, Mathematics or related field
• Industry experience with large scale recommendation and ranking systems
• Experience in managing team of 10-15 engineers
• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow
Shubham Vishwakarma
Full Stack Developer - Averlon
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- Maintain backlink trackers, live URLs, and weekly reports
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- 1–2 years of experience in Off-Page SEO and backlink building
- Tech awareness — comfortable working on software or SaaS websites
- Good spoken and written English
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You can contact me on this WhatsApp number: Nine three one six one two zero one three two
Company Name - Bhanzu formerly (Exploring Infinities).
Website - https://www.bhanzu.com/
Mode- WFO
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● Willing to familiarize yourself with the company's vision and mission seeking to accomplish set goals and objectives
● Collating and maintaining client information in the CRM database
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MongoDB- Develop website and its successful deployment as per requirements
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- Ensure to code that is platform and device agnostic
- Collaborate with other team members for the design and content of the website
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- In this role, you must be able to multitask, quickly adapt to new development environments, learn new systems, create reliable/maintainable code, and find creative and scalable solutions to difficult and complex problems.
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- Your ability to communicate clearly and concisely (both written and verbal) is key, as is being a self-starter.
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Xpresslane is a universal one-click checkout platform for eCommerce. We want to transform the way online shoppers buy, Democratize optimized checkout and post checkout experience. We have achieved 150+ signups from D2C merchants in the last year alone and are aggressively adding new features to help solve problems in their checkout process.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon