AI Engineer (Synthetic Image)

Job description / Role

AI Engineer (Synthetic Image) - 6 months contract

Responsibilities:-

End-to-End Machine Learning and Deep Learning Model Development:
• Lead the full lifecycle of machine learning projects, from initial data gathering and annotation to deploying models in production.

• Domain Knowledge in Synthetic Image Generation:
Apply expertise in Synthetic Image Generation, preferably human faces.

Technical Proficiency:
• Demonstrate advanced skills in Python programming, PyTorch, Huggingface, sklearn, pandas, Docker, and REST API development.

Data Cleaning and Preprocessing:
• Perform EDA and data preprocessing and cleaning to prepare datasets for efficient and effective model training.

Model Selection, Training, and Validation:
• Develop and train machine learning and deep learning models, employing SotA techniques and algorithms.
Conduct thorough model selection processes, comparing and evaluating various models to determine the best fit for specific tasks.

Testing, Benchmarking, and Scaling Models:
• Rigorously test models under various scenarios to ensure reliability and robustness. Benchmark model performance against industry standards and scale models to handle large-scale data efficiently.

Deployment and MLOps:
• Deploy machine learning models into production environments, ensuring seamless integration and functionality.
Employ MLOps practices for continuous integration, delivery, and model monitoring in production.

Technical Documentation:
• Create comprehensive documentation for developed models and processes, detailing methodologies, codebases, and user guides.
• Ensure clear and understandable documentation for both technical and non-technical audiences, aiding in cross-departmental understanding and collaboration.

Salary:
AED 22,000 per month inclusive of fixed allowances.

Requirements

Qualifications:-

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, or Machine Learning.
• 3+ years of industry experience with solid coding skills in Python, and experience with Docker, REST APIs, PyTorch, Transformers, sklearn, and other AI/ML frameworks/libraries.
•1+ years of experience in Synthetic Image Generation systems.
• 3+ years of experience in end-to-end machine learning and deep learning model training on both CPU and GPU servers with parallelism experience
• Strong problem-solving skills with a focus on practical and scalable solutions.
• Excellent communication and collaboration abilities to work effectively in a team environment.
• Proactive in staying updated with the latest advancements in machine learning, deep learning, and related technologies.

Requirements:-
• Experience with SQL, Elasticsearch, Cloud Services, and PySpark:
• Leverage SQL and Elasticsearch for data querying and manipulation.
• Utilize cloud services and PySpark for distributed computing and large-scale data processing.

Incremental/Continual ML Model Training:
• Implement strategies for continual learning and model updating to adapt to new data and evolving requirements.

About the Company

Excelsior is a bespoke HR and recruitment consultancy, specialising in the Security, Facilities Management, Education and Automotive sectors. Excelsior provides a high quality, reliable and affordable solution to companies in these sectors.

Exciting opportunities and market insights will be regularly posted on this page. If you are a talented individual looking for a change, then our highly experienced Consultants are ready to match you with an exciting new career opportunity.