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Job description
Who we are looking for
· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
· Mentor and coach other team members
· Evaluate the performance of NLP models and ideate on how they can be improved
· Support internal and external NLP-facing APIs
· Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioural Skills
· Strong analytical and problem-solving capabilities.
· Proven ability to multi-task and deliver results within tight time frames
· Must have strong verbal and written communication skills
· Strong listening skills and eagerness to learn
· Strong attention to detail and the ability to work efficiently in a team as well as individually
Technical Skills
Hands-on experience with
· NLP
· Deep Learning
· Machine Learning
· Python
· Bert
Preferred Requirements
· Experience in Computer Vision is preferred
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Job Title – Data Scientist (Forecasting)
Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications. The candidate should have experience in training, testing deep learning architectures. This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.
Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)
Required Skills:
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- Experience with large data sets, big data, and analytics
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This profile will include the following responsibilities:
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Qualification: BE/BTech/Bsc-IT/MCA
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About Turing:
Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.
We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:
- Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
- Executives from Google, Facebook, Square, Amazon, and Twitter
- Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
- Cyan Banister
- Founder of Upwork (Beerud Sheth)
We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month.
Some articles about Turing:
- https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
- https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
- https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
- https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.
Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.
About the role:
Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us.
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A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job.
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This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&hl=en">Google Scholar profile.
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- Enhance our existing machine learning systems using your core coding skills and ML knowledge.
- Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
- Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
- Design features and builds large scale recommendation systems to improve targeting and engagement.
- Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.
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- BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
- Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
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- 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
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- First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals.
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- Strong communication skills.
- Experienced in leading large-scale multi-engineering projects.
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- Experience in Hadoop, Kafka, Spark, Elastic Search, SQL, Kibana, Python, experience w/ machine learning and Analytics etc.
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- Collaborate with QA team to define test cases, metrics, and resolve questions about test results.
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- Create unit tests in accordance with team policies & procedures
- Advise, and mentor team members in specialized technical areas as well as fulfill administrative duties as defined by support process
- Work with cross-functional teams during crisis to address and resolve complex incidents and problems in addition to assessment, analysis, and resolution of cross-functional issues.
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