Machine Learning (ML)
Data ScienceResponsibilities:
- Help build model monitoring systems across model types like regression, classification with structured & unstructured datasets.
- Build high-performance multi-tenant deployment architecture that works across frameworks like PyTorch, sklearn, TensorFlow.
- Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
- Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
- Write maintainable, scalable performant python code, Build high volume and high availability analytics systems, Push the state of the art of MLOPs to push the industry ahead.
Requirements:
- 3+ years work experience with production-grade python- preferably contribution to open source repost.
- Prior experience with ML monitoring, observability & explainability systems, and familiarity with tools for data science like Pandas, Notebooks, Numpy, Scipy, etc.
- Comfortable working in a Linux environment, experience with one relational & 1 non-relational DB is preferred.
- Some working experience with TensorFlow or PyTorch is preferred.
- Experience with model analysis and experimentation frameworks like MLFlow, W& B;, tfma is preferred.
Shubham Vishwakarma
Full Stack Developer - Averlon
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System Architecture:
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Pluses
1. Anything that will let us know more about who you are that you would like to share such
as Blogs, Twitter, Medium, GitHub etc.
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Collecting and editing data through extensive web research, using google sheets,
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Analyzing multiple information sources to resolve factual discrepancies in data.
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Engaging in online discussions with colleagues on best practices for getting positive results.
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Ensuring quality of data in the database.
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Love to spend hours in front of your PC
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Superb at finding information on the web
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Can type reasonably fast
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Love to work with a tech-loving cool virtual team.
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Have a webcam and mic and be available for meetings.
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Are Tech Savvy
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Can work close to UK (GMT Time Zone) working hours of 9 am - 5 pm.
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Have the ability to problem-solve and work independently - but can ask questions when needed
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Be open to training (as you will be trained by my project managers and me)
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Have the hunger to be amazing at what you do
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Web research
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Link building
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Localization projects
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Data collection
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Research and information analysis
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Ability to build highly scalable, robust, and fault-tolerant services and stay up-to-date with the latest architectural trends
Experience with container based deployment, microservices, in-memory caches, relational databases, key-value stores
Hands-on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, RDS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch)
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Full Stack Developer - Averlon