Remote Senior Applied AI Developer (IR-444)

at Intellectsoft

Posted 11 hours ago 2 applied

Description:

  • Intellectsoft is a software development company that has been delivering innovative solutions since 2007, operating across North America, Latin America, the Nordic region, the UK, and Europe.
  • The company specializes in various industries including Fintech, Healthcare, EdTech, Construction, and Hospitality, partnering with startups, mid-sized businesses, and Fortune 500 companies.
  • The customer's product is an AI-powered platform that helps businesses make better decisions and work more efficiently by using advanced analytics and machine learning to analyze large amounts of data.
  • The platform is widely used in various industries, including healthcare, to optimize processes, improve customer experiences, and support innovation.
  • The platform integrates easily with existing systems, enabling teams to make quick, data-driven decisions.

Requirements:

  • Candidates must have 5+ years of practical experience in Machine Learning.
  • A solid understanding of ML and Deep Learning fundamentals, including model fine-tuning (especially LLMs), is required.
  • Proficiency in Python is necessary; experience with PySpark or Scala is a plus.
  • A background in backend API development and working with vector databases is essential.
  • Experience with ML Ops practices such as model monitoring, tracking KPIs, and managing model drift (preferably using MLflow) is required.
  • Hands-on experience with NLP or computer vision projects is necessary.
  • Familiarity with ML frameworks such as Keras or HuggingFace is required.
  • Experience in building feature engineering pipelines, inference workflows, and deploying models for real-time predictions is essential.
  • Nice to have: Exposure to Big Data systems and data engineering practices, knowledge of cloud platforms and architecture, understanding of CI/CD pipelines and DevOps practices, awareness of modern AI/ML trends, especially in Generative AI and Large Language Models, and experience designing scalable ML systems that handle large datasets and meet strict performance SLAs.

Benefits:

  • Employees receive 35 absence days per year to promote work-life balance.
  • Access to Udemy courses of their choice is provided.
  • English courses with a native speaker are available.
  • Regular soft-skills training sessions are offered.
  • Employees can participate in Excellence Centers meetups.
  • Online and offline team-building activities are organized.