AI / ML Engineer (Remote) at Turing

Turing.com connects world-class remote software engineers with world-class companies. 100+ companies, including those backed by Google Ventures, Andreessen, Founders Fund, Kleiner, and Bloomberg, have hired Turing developers. Over 300,000 developers from across 140+ countries have chosen Turing as their preferred platform for landing remote jobs.

We are recruiting to fill the position below:

Job Title: AI / ML Engineer

Location: Remote
Employment Type: Long-term and full-time

Job Description

• At Turing, we are looking for AI/ML engineers who have experience working on multiple ranges of classification, prediction, and optimization problems.
• The position will involve optimizing existing machine learning systems, resolving data set problems using statistical analysis, and building predictive models to power AI-based applications.

Job Responsibilities

• Enhance the performance of our existing AI software
• Understand project requirements to design an effective roadmap and manage the overall project lifecycle
• Optimize existing ML libraries and frameworks.
• Perform statistical analysis to solve complex data-set problems
• Train and test machine learning programs
• Design and develop highly scalable deep learning systems 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
• Ability to drive usability sessions to refine workflows, get buy-ins, and make progress towards full implementation

Minimum 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 programming languages such as Python, Java, etc.
• Working experience with concepts such as supervised/unsupervised learning, database modeling, data warehousing, and more
• Fluency in English and the communication skills to effortlessly collaborate with engineering managers at US software companies
• The ability to work full-time (40 hours/week) concurrently with US time zones for a minimum of 4 hours/day

Preferred Skills:

• Deep understanding of complex code bases, large systems, 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 NumPy, Pandas, Matplotlib, SciPy, NLTK, sci-kit-learn, etc.
• Experience with programming languages such as R, MATLAB, etc.
• Experience with machine learning frameworks (like Keras or PyTorch)
• Proficiency in applied statistics: regression, distributions, statistical testing, etc.
• Deep understanding of Artificial Neural Networks and Deep Learning Frameworks
• Excellent command over algorithms, data structures, and computer science fundamentals

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.