Senior Applied AI Developer (IR-444)
Job Description
Intellectsoft, a leading software development company established in 2007, is seeking a Senior Applied AI Developer to join their team. The role focuses on developing an AI-powered platform that helps businesses make better decisions through advanced analytics and machine learning. The platform analyzes large amounts of data to provide insights and predictions, particularly in healthcare and other industries. The ideal candidate will have extensive experience in Machine Learning, Deep Learning, and MLOps practices. They will be responsible for developing ML engineering platforms, deploying models, and building scalable solutions. The position offers excellent benefits including generous time off, professional development opportunities, and a collaborative work environment. Working with clients like Jaguar Motors and Universal Pictures, this role provides an opportunity to make significant impact in AI implementation across various industries.
Responsibilities For Senior Applied AI Developer (IR-444)
- Develop and maintain ML engineering platforms and reusable components
- Deploy ML models and implement feedback loops to monitor and improve their performance in production
- Build robust, testable, and scalable code that meets high quality standards
- Collaborate with client-facing teams to gather technical requirements
- Participate in agile development ceremonies
- Contribute to code reviews, version control practices, and bug tracking processes
- Conduct research and develop prototypes to evaluate emerging tools, frameworks, and architectures
Requirements For Senior Applied AI Developer (IR-444)
- 5+ years of practical experience in Machine Learning
- Solid understanding of ML and Deep Learning fundamentals, including model fine-tuning (especially LLMs)
- Proficient in Python; experience with PySpark or Scala is a plus
- Background in backend API development and working with vector databases
- Experience with ML Ops practices such as model monitoring, tracking KPIs, and managing model drift
- Hands-on experience with NLP or computer vision projects
- Familiarity with ML frameworks such as Keras or HuggingFace
- Experience in building feature engineering pipelines, inference workflows, and deploying models
Benefits For Senior Applied AI Developer (IR-444)
- 35 absence days per year for work-life balance
- Udemy courses of your choice
- English courses with native-speaker
- Regular soft-skills trainings
- Excellence Centers meetups
- Online/offline team-buildings
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