AI and Machine Learning Engineer

ClickCease by CHEQ Logo

ClickCease by CHEQ

📍Remote - India

Summary

Join North America’s leading live selling and video commerce platform as an AI & Machine Learning Engineer. You will collaborate with a team of engineers and data experts to develop and maintain code leveraging computer vision and machine learning algorithms. Responsibilities include developing product similarity and recommender routines, deploying models to production, and staying current with AI advancements. This role requires 4+ years of Data Science or Machine Learning experience, strong Python programming skills, and expertise in computer vision and NLP. The ideal candidate will possess strong analytical and problem-solving skills, thrive in a fast-paced environment, and have excellent communication skills. The position offers the opportunity to work on impactful projects within a rapidly growing team.

Requirements

  • Have 4+ years of Data Science or Machine Learning experience
  • Have strong programming skills in Python (will be tested through interview process)
  • Have sound judgment for solving issues pragmatically without adding technical debt
  • Demonstrate skills in designing, building, and evaluating predictive models and AI algorithms. Deep understanding of the recent landscape of possible AI solutions
  • Have passion for understanding business stakeholders’ problems and solving them in innovative and efficient ways
  • Being skilled with cloud services (AWS, GCP, Azure) for deploying cloud solutions and APIs
  • Bring proven expertise in computer vision and NLP to the common table (will be assessed in the interview process)
  • Be comfortable in a fast paced, pragmatic work environment
  • Have a strong understanding of core computer science principles, hone standard CI/CD practices
  • Work well in a remote, collaborative team environment; Have the ability to communicate your thought process in problem-solving, verbally and over Slack
  • Have a mindset towards high-quality output and attention to detail, comfortable being able to provide and receive feedback in code reviews
  • Possess strong analytical and problem-solving skills, be curious about new approaches and recent research
  • Have strong desire to learn and stay updated with the latest in AI and machine learning. Persistent and resilient in the face of challenging technical problems
  • Are a strong written and verbal communicator; English native speaker or Advanced English language skills
  • Must be able to flex at least 4 working hours to overlap with North American time zones; Requirement to work until 3pm EST (US) to have team interaction with teams from the other time zones

Responsibilities

  • Develop and maintain code that leverages computer vision, natural language processing and machine learning algorithms and technologies in solving hot business problems
  • Utilize machine learning concepts and algorithms, and as well as other deep learning architectures to analyze video, images and large text corpora
  • Review and train machine learning models in and evaluate their performance
  • Develop product similarity and product recommender routines, adjust them to efficiently work as in-app features
  • Understand and apply natural language processing in sentiment analysis, named entity recognition, and text summarization
  • Orchestrate computer vision tasks of image classification, object detection, image segmentation, face and pose detection, movement and facial expression
  • Deploy machine learning models to production environments and showcase proficiency in version control systems
  • Gear usage of the image and video generation to support the business processes of our partners and their end-customers
  • Keep up to date with latest advances in AI and machine learning
  • Gain a deep understanding of our product and become involved in driving out product implementation

Preferred Qualifications

  • Experience with e-commerce and/or live-selling platforms is a strong plus
  • Experience in Machine learning Ops is a plus for candidate

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