About Envision AI
Envision AI is a forward-thinking technology company with a focus on smart city and digital transformation applications. We leverage the power of Machine Learning (ML), the Internet of Things (IoT), and Unmanned Aerial Vehicles (UAVs) to create innovative and sustainable solutions. Our mission is to empower governments, industries, and communities to tackle the challenges of a rapidly evolving digital landscape. We are a team of passionate experts dedicated to driving innovation, efficiency, and security in the digital realm.
Job Summary
We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. This role is focused on the exciting and rapidly growing fields of process automation and agentic AI. The ideal candidate will have a strong background in machine learning and a passion for building intelligent systems that can reason, plan, and act autonomously. You will play a crucial role in developing and deploying cutting-edge AI solutions that will redefine efficiency and intelligence in smart city and digital transformation domains.
Key Responsibilities
- Design, develop, and deploy autonomous AI agents capable of complex reasoning, planning, and decision-making to automate a wide range of business processes.
- Build, train, and maintain scalable machine learning models and pipelines for our smart city and smart agriculture platforms.
- Collaborate with cross-functional teams of engineers, product managers, and domain experts to identify and implement opportunities for AI-driven automation and optimization.
- Conduct research and stay at the forefront of the latest advancements in agentic AI, large language models (LLMs), and process automation technologies.
- Ensure the robustness, scalability, and reliability of our AI systems through rigorous testing, monitoring, and performance tuning.
- Contribute to the development of our MLOps practices to streamline the deployment and management of our machine learning models.
Required Skills and Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- Professional experience as a Machine Learning Engineer, AI Engineer, or in a similar role.
- Strong programming proficiency in Python and extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Hands-on experience with large language models (LLMs) and generative AI, including techniques like Retrieval-Augmented Generation (RAG).
- A proven track record of successfully building and deploying machine learning models in a production environment.
- Solid understanding of MLOps principles and best practices for the end-to-end machine learning lifecycle.
Preferred Skills and Qualifications
- Master's in a relevant field.
- Experience with agentic AI frameworks and the development of multi-agent systems.
- Experience working in a fast-paced startup environment.
- A portfolio of projects that demonstrates a strong understanding of both theoretical concepts and practical applications in AI and machine learning.
Highlighted Certifications
While not mandatory, the following certifications are highly desirable and will be given special consideration:
- Agentic AI / Generative AI:
- Certified Agentic AI Developer (Blockchain Council)
- NVIDIA Certified Professional in Agentic AI
- IBM RAG and Agentic AI Professional Certificate
- Machine Learning & Cloud:
- AWS Certified Machine Learning - Specialty
- Google Professional Machine Learning Engineer
- Microsoft Certified: Azure AI Engineer Associate
Why Join Us?
At Envision AI, you will have the opportunity to work on groundbreaking projects that have a real-world impact. We offer a collaborative and innovative work environment where you can grow your skills and make a significant contribution to a rapidly growing company. If you are passionate about using AI to solve complex problems and build a more sustainable future, we would love to hear from you.
How to Apply
Interested in this role? Please submit your application through our official form.
Click here to apply: https://forms.gle/7LcAmgbWYLZ4TpEf7
- We look forward to reviewing your application!
