Junior AI Engineer
Role details
Job location
Tech stack
Job description
- Assist in designing, developing, and optimizing machine learning models using frameworks such as TensorFlow and other AI tools.
- Support data collection, cleaning, transformation, and integration through ETL processes using Talend or similar platforms.
- Collaborate with cross-functional teams to implement natural language processing (NLP) solutions for text analysis and chatbot applications.
- Contribute to model training, evaluation, and fine-tuning to improve accuracy and performance across various AI initiatives.
- Help deploy models into production environments utilizing cloud services like AWS and ensure seamless integration with existing systems.
- Participate in data mining activities using SQL, Python, R, or SAS to extract actionable insights from large datasets.
- Assist in maintaining data pipelines built on Hadoop, Spark, or similar big data technologies for scalable analytics projects.
Requirements
Do you have experience in UNIX?, Do you have a Bachelor's degree?, We are seeking an energetic and motivated Junior AI Engineer to join our innovative technology team. In this role, you will contribute to the development, training, and deployment of cutting-edge artificial intelligence and machine learning models. Your work will help drive data-driven insights and enhance AI-powered solutions across various projects. This position offers a fantastic opportunity to grow your skills in big data, natural language processing, and advanced analytics within a dynamic environment that values curiosity and continuous learning., * Bachelor's degree in Computer Science, Data Science, or a related field; advanced degrees are a plus.
- Proficiency in Python and SQL for data manipulation, analysis, and scripting tasks.
- Hands-on experience with machine learning frameworks such as TensorFlow or PyTorch.
- Familiarity with big data tools including Hadoop, Spark, and Hive for processing large datasets.
- Knowledge of natural language processing techniques and AI concepts like unsupervised learning and model training.
- Experience working with cloud platforms such as AWS for model deployment and data storage solutions.
- Basic understanding of database design principles and experience working with ETL tools like Talend or Bash scripting in Unix shell environments. Join us to be part of a forward-thinking team dedicated to pioneering AI innovations! This paid position offers valuable hands-on experience in the rapidly evolving field of artificial intelligence while supporting your professional growth through exposure to diverse technologies such as quantum engineering, linked data systems, and analytics platforms like Looker or VBA. If you're passionate about harnessing the power of AI to solve real-world problems, we want to hear from you!
Benefits & conditions
Pulled from the full job description
- Referral program
- Paid time off
- Flexible schedule, * Flexible schedule
- Paid time off
- Referral program