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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You don't just use AI : You instinctively identify repetitive work, automate it where it makes sense, and build
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globally scale their execution capacity. We run lean, move fast, and are AI-first. This role works directly with our
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You're the person friends ask to 'automate this' and you actually do."
What you will own
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identification to outreach
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automations for BD, marketing, and operations
• AI adoption: help the team integrate AI tools
into day-to-day work
• Working directly with delivery partners, clients,
and the founder on strategy
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• You build with AI you don't just use it. You've shipped
something real with Claude, ChatGPT, Make, Zapier, etc
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or ops. Non-linear paths welcome.
• Engineering from a good institution
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when systems don't exist yet.
• B2B marketing interest is a strong plus
• You've been the best, or close to it, at something you
genuinely cared about and it doesn't have to be academics.
A state-level athlete, a music or arts award, a debate etc
Not for you if
Not consulting
You want a traditional consulting or
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Not AI-optional
AI is “a tool you use sometimes”
rather than how you work.
Not process-dependent
You need fully defined processes
before you can act.
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WORKING AT IBC
Remote-first team with an onsite stint in Pune for the first
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Fill in the application form with your basic details, answers to the screening questions, and attach your resume.
Apply here: forms.gle/QWU7rMbCV6Xvowa96
Google AnalyticsWe are seeking an experienced SEO Executive to join our team. The ideal candidate should have a minimum of 1-3 years of experience in SEO and must possess expertise in ecommerce SEO. As an SEO Executive, you will be responsible for analyzing, reviewing, and implementing changes to our websites to ensure they are optimized for search engines.
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This Noida based startup is disrupting the F&B industry by helping eateries increase their profit margin and saving time on labour.
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Challenging opportunity, tough problems and a very good growth path. An excellent opportunity to work with a team of highly talented young professionals. We also offer a whole load of benefits to make your stay enjoyable with Xoxoday.
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Full Stack Developer - Averlon