Description
The AI Development Engineer is responsible for designing, implementing, and optimizing artificial intelligence (AI) algorithms and systems, particularly in the fields of natural language processing (NLP), machine learning (ML), and computer vision. This role requires familiarity with the Python programming language and familiarity with Haystack, a Python library for building end-to-end question answering systems. All work is done on high-end high power machines with at least 24 cores, 32 gigs of RAM and high-end Nvidia GPUs.
Responsibilities
- Collaborate with the team to design, develop, and implement AI solutions using Python.
- Assist in building and optimizing NLP pipelines for text data processing.
- Conduct experiments and evaluations to improve model performance and accuracy.
- Work on tasks related to data collection, annotation, and preprocessing.
- Support ongoing research initiatives and contribute to technical documentation.
Requirements
- Experience in the open source Ubuntu desktop operating system and profficiency in using terminal commands
- Familiarity with Python programming language with an understanding of data structures, algorithms, and object-oriented programming principles
- Familiarity with version control systems such as Git and collaborative development workflows
- Familiarity with issue and progress tracking systems such as JIRA
- Excellent communication skills, with the ability to work effectively in a multidisciplinary team environment and convey technical concepts efficiently
- Continuous learning mindset with the ability to stay updated with the latest advancements and trends in AI development and related technologies
- Knowledgeable in VSCode
- Good understanding of software development principles and best practices, including agile methodologies, unit testing, and code review processes
- General knowledge of applications such as:
- File manager apps:
- File merge tools:
Desirable expertise/familiarity
These will be viewed as a plus to any candidate
- Familiarity with mikroSDK 2.0
- Familiarity with Haystack, its functionalities and best practices for building question answering systems
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform for deploying and managing AI applications
- Experience in implementing and optimizing AI algorithms and models using AI and data science platforms such as:
- ANACONDA
- MINICONDA
- PyTorch
- Experience in optimizing applications using high-performance GPU-accelerated toolkits such as CUDA Toolkit
- Experience in AI development, including NLP, ML, and computer vision is a plus
- Ability to preprocess and analyze large datasets efficiently for training AI models, using libraries such as pandas, NumPy, and scikit-learn
- Understanding of neural network architectures and proficiency in designing, training, and fine-tuning deep learning models
- Strong problem-solving skills and the ability to troubleshoot and debug complex AI systems
- Experience in deploying AI models into production environments, including considerations for scalability, performance, and reliability
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. in a relevant discipline is a plus
Benefits
- Hands-on experience with state-of-the-art AI technologies
- Continuous mentorship and guidance from experienced engineers
- Flexible remote work environment
- Opportunity to contribute to real-world projects
