Karza
https://karza.inAbout
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Data Science
Machine Learning (ML)● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.
A few recognitions:
- Recognized as Top25 startups in India to work with 2019 by LinkedIn
- Winner of HDFC Bank's Digital Innovation Summit 2020
- Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
- Winner of Amazon AI Award 2019 for Fintech
- Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
- Winner of FinShare 2018 challenge held by ShareKhan
- Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
- 2nd place Citi India FinTech Challenge 2018 by Citibank
- Top 3 in Viacom18's Startup Engagement Programme VStEP
What your average day would look like:
- Deploy and maintain mission-critical information extraction, analysis, and management systems
- Manage low cost, scalable streaming data pipelines
- Provide direct and responsive support for urgent production issues
- Contribute ideas towards secure and reliable Cloud architecture
- Use open source technologies and tools to accomplish specific use cases encountered within the project
- Use coding languages or scripting methodologies to solve automation problems
- Collaborate with others on the project to brainstorm about the best way to tackle a complex infrastructure, security, or deployment problem
- Identify processes and practices to streamline development & deployment to minimize downtime and maximize turnaround time
What you need to work with us:
- Proficiency in at least one of the general-purpose programming languages like Python, Java, etc.
- Experience in managing the IAAS and PAAS components on popular public Cloud Service Providers like AWS, Azure, GCP etc.
- Proficiency in Unix Operating systems and comfortable with Networking concepts
- Experience with developing/deploying a scalable system
- Experience with the Distributed Database & Message Queues (like Cassandra, ElasticSearch, MongoDB, Kafka, etc.)
- Experience in managing Hadoop clusters
- Understanding of containers and have managed them in production using container orchestration services.
- Solid understanding of data structures and algorithms.
- Applied exposure to continuous delivery pipelines (CI/CD).
- Keen interest and proven track record in automation and cost optimization.
Experience:
- 1-4 years of relevant experience
- BE in Computer Science / Information Technology
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