Remote AI-ML-Data Engineer at Turing

Turing.com connects world-class developers to top remote jobs at world-class companies. 100+ companies, including those backed by Google Ventures, Andreessen, Founders Fund, Kleiner, and Bloomberg, have hired our developers. Over 500,000 developers from across 140+ countries have chosen the Turing jobs platform as their preferred avenue for landing remote software jobs.

We are recruiting to fill the position below:

Job Title: AI-ML-Data Engineer

Location: Remote
Employment Type: Full-time

Responsibilities

• Apply your knowledge in the domain of AI/ML to create products with a great user experience 
• Understand project requirements to design an effective roadmap and manage the overall project lifecycle 
• Design and develop highly scalable models/tools/classifiers/algorithms with the help of AI and Machine Learning principles and techniques 
• Influence the technical direction of the projects and collaborate with cross-functional teams to communicate technical details effectively 
• Continuously integrate and ship code into the cloud environment
• Collaborate with product managers to produce wire-frame mock-ups

Requirements

• Bachelor’s/Master’s degree in Computer Science (or equivalent experience) 
• 3+ years of experience working in at least one of these domains: Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing (we make rare exceptions if you are highly skilled) 
• Proficiency in one or more general-purpose programming or query languages including but not limited to: Python, SQL, PHP, Java, or C# 
• Additionally, Turing reviews communication skills and English fluency to ensure effortless collaboration with engineering managers at U.S. software companies.

Required Skills:

• Deep understanding of large systems, complex code bases, and version control systems such as Git
• Strong understanding of machine learning libraries, predictive modeling, pattern recognition, data mining, recommendation systems
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc.
• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like sci-kit-learn, NLTK)
• Proficiency in applied statistics: regression, distributions, statistical testing, etc.
• Deep understanding of Artificial Neural Networks and Deep Learning Frameworks
• Experience working with one or more areas such as Full Stack (Front-end and Back-end Development), Scalable Enterprise Platforms and Applications, Distributed and Parallel Systems, Application Security and Incident Management, or Information Retrieval
• Excellent command over algorithms, data structures, and computer science fundamentals
• The ability to work full-time (40 hours / week) concurrently with US time zones for a minimum of 4 hours/day
• The capability to function and find effective solutions to problems without hand-holding and micromanagement

Perks & Benefits

• Earn salaries higher than local standards
• Work alongside a community of Google, Facebook, Microsoft engineers
• Experience rapid career growth
• No visa requirements to work with the best US companies
• Better work-life balance

Application Closing Date
20th July, 2021.