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- Tasks: Develop AI systems for water treatment using Python and Reinforcement Learning.
- Company: Join a forward-thinking company focused on innovative AI solutions.
- Benefits: Enjoy remote work flexibility and collaborative team culture.
- Why this job: Make a real impact in environmental tech while growing your AI skills.
- Qualifications: Python experience and knowledge of AI/ML concepts required; 3+ years preferred.
- Other info: Opportunity to work with a globally distributed team.
The predicted salary is between 28800 - 48000 £ per year.
Our client is looking for a Junior AI Engineer with python experience to develop RL agents for water treatment related applications. This role is % remote within Canada.
Nice to have:
- 3+ years' experience as an AI Engineer developing with Reinforcement Learning (RL) agent solutions or developing solutions with Large Language Models (LLM) or Retrieval Augmented Generation (RAG)
- 3+ years' experience developing with Python
- NumPy library experience
- Torch or other gradient tracking tensor math library experience
- 2+ Years IoT and Timeseries data manipulation
- 2+ Years AWS cloud and/or Docker
- 2+ Years using MLOps
- Experience using AI for industrial process control
- Working Knowledge of Test-Driven Development
- BS or above in Computer Science, Data Science, AI Engineering or technical equivalent
Responsibilities:
- Developing AI systems and tools for use in Turing’s software offerings.
- Researching and designing new solutions to AI/ML/DS problems as needed.
- Educating and knowledge sharing AI research with a cross-functional team consisting of software development, engineering, and business domain experts.
- Learning Domain knowledge as necessary and working with SMEs to develop high quality problem definitions.
- Owning the AI development lifecycle inclusive of preparing data for use in AI systems, exploratory data analysis, model development, model deployment and implementation, monitoring, and maintenance.
- Collaboration with a globally distributed team that is remote and spread across various time zones.
Junior AI Engineer with python experience to develop RL agents for water treatment related appl[...] employer: S I Systems
Contact Detail:
S I Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Engineer with python experience to develop RL agents for water treatment related appl[...]
✨Tip Number 1
Familiarise yourself with the latest advancements in Reinforcement Learning and how they apply to water treatment. This will not only help you understand the role better but also give you talking points during interviews.
✨Tip Number 2
Engage with online communities or forums focused on AI and Python development. Networking with professionals in these spaces can lead to valuable insights and potential referrals for the position.
✨Tip Number 3
Showcase any relevant projects or contributions you've made in the field of AI, especially those involving Python and RL. Having a portfolio ready can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with cloud services like AWS and tools like Docker. Being able to articulate your hands-on experience with these technologies will demonstrate your readiness for the role.
We think you need these skills to ace Junior AI Engineer with python experience to develop RL agents for water treatment related appl[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant projects involving Reinforcement Learning. Use specific examples to demonstrate your skills in AI engineering and data manipulation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with IoT, AWS, and MLOps, and how these skills can contribute to developing RL agents for water treatment applications.
Showcase Relevant Projects: If you have worked on projects related to AI, ML, or data science, include them in your application. Describe your role, the technologies used, and the outcomes achieved to demonstrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves working with a globally distributed team, emphasise your ability to collaborate effectively across different time zones. Mention any previous experiences that showcase your teamwork and communication skills.
How to prepare for a job interview at S I Systems
✨Showcase Your Python Skills
Make sure to highlight your experience with Python during the interview. Be prepared to discuss specific projects where you've used Python, especially in relation to developing RL agents or working with libraries like NumPy and Torch.
✨Demonstrate Your Understanding of Reinforcement Learning
Since the role focuses on developing RL agents, brush up on your knowledge of reinforcement learning concepts. Be ready to explain how you would approach building an RL solution for water treatment applications.
✨Discuss Your Experience with Cloud Technologies
Talk about your familiarity with AWS, Docker, and MLOps. Provide examples of how you've used these technologies in past projects, particularly in relation to AI development and deployment.
✨Prepare for Team Collaboration Questions
Given that the role involves working with a globally distributed team, be ready to discuss your experience in collaborative environments. Share examples of how you've effectively communicated and worked with team members across different time zones.
