Senior AI/ML Engineer
cairo,
Egypt
Job Description:
We are looking for a highly skilled AI/ML Engineer to join our team and work on cutting-edge AI solutions. The ideal candidate will have expertise in Python, Deep Learning, Large Language Models (LLMs), Computer Vision, CNNs, GANs, Machine Learning. The role requires experience in building, optimizing, and deploying AI models using FastAPI for efficient integration into production environments. Strong analytical skills are essential for model evaluation and performance tuning.
This position is both creative and rigorous by nature you need to think outside the box. We expect the candidate to be proactive and have a "get it done" spirit. To be successful, you will have solid solving problem skills.
Responsibilities
- • Design, develop, and deploy machine learning and deep learning models for various applications.
- • Work with Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), and LLMs to create state-of-the-art AI solutions.
- • Develop and optimize computer vision algorithms for image and video processing.
- • Implement LLMs for natural language processing tasks.
- • Build and integrate AI models into scalable APIs using FastAPI.
- • Conduct model training, fine-tuning, and hyperparameter optimization.
- • Analyze large datasets and extract insights for model improvements.
- • Collaborate with data engineers, software developers, and product teams to ensure seamless deployment.
- • Keep up with the latest advancements in AI/ML and contribute to research & development.
- • Required Skills & Qualifications:
- • Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- • Strong understanding of Machine Learning, CNNs, GANs, and Computer Vision.
- • Experience working with Large Language Models (LLMs).
- • Hands-on experience with FastAPI for API development and deployment.
- • Solid understanding of data structures, algorithms, and ML model optimization.
- • Familiarity with cloud platforms (AWS, GCP, Azure) for AI model deployment.
- • Strong analytical and problem-solving skills.
- • Experience with version control systems (Git, GitHub) and CI/CD workflows.
Must Have
- • Programming Languages: Proficiency in Python (essential), and experience with C++, Java, or Scala is a plus.
- • Machine Learning Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-Learn, Keras.
- • Deep Learning: Understanding of CNNs, RNNs, Transformers, and GANs for various AI applications.
- • Mathematical and Statistical Knowledge: Strong grasp of linear algebra, probability, statistics, optimization, and numerical computing.
- • Data Handling: Experience with SQL, NoSQL databases (MongoDB, Cassandra), Pandas, and large-scale data processing.
- • Cloud & MLOps: Proficiency in deploying AI models on AWS, GCP, Azure, Kubernetes, Docker. Experience with CI/CD pipelines for ML is a plus.
- • Big Data & Distributed Computing: Experience with Apache Spark, Hadoop, Dask for scalable AI/ML applications.
Nice to have
- • Familiarity with containerization tools like Docker.
- • Experience with other JavaScript frameworks or libraries.
- • Experience with GraphQL and RESTful APIs.
- • Knowledge of microservices architecture and distributed systems.
- • Experience with other cloud platforms (e.g., Azure, Google Cloud).
What's great in the job?
- Great team of smart people, in a friendly and open culture
- No dumb managers, no stupid tools to use, no rigid working hours
- No waste of time in enterprise processes, real responsibilities and autonomy
- Expand your knowledge of various business industries
- Create content that will help our users on a daily basis
- Real responsibilities and challenges in a fast evolving company
What We Offer
Each employee has a chance to see the impact of his work.
You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly
sports sessions, team building events, monthly drink, and much more
Perks
A full-time position
Attractive salary package.
Trainings
12 days / year, including
6 of your choice.
Sport Activity
Play any sport with colleagues,
the bill is covered.
Eat & Drink
Fruit, coffee and
snacks provided.