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Machine Learning Specialist stable diffusion Job in Turkey Recruiting by Profile Bakery

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Machine Learning Specialist - stable diffusion

🔖 Full Time

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The Role

You will be responsible for :

Utilize your expertise in Amazon SageMaker to build, train, and deploy machine learning models, ensuring efficient and scalable implementations.
Implement stable diffusion techniques to model physical systems and tackle real-world challenges.
Apply your knowledge of ControlNet to develop interconnected control loops and optimize system behavior using ML techniques.
Build and automate ML pipelines (e.g., Automatic1111) for data preprocessing, model training, and deployment, streamlining the development process.
Demonstrate proficiency in Python programming and various machine learning algorithms to solve complex problems and deliver innovative solutions.
Conduct thorough data preprocessing, including cleaning, transformation, and feature engineering, to ensure high-quality input for ML models.
Evaluate and validate model performance using industry-standard techniques, and fine-tune hyperparameters to achieve optimal results.
Leverage your understanding of deep learning architectures, such as CNNs, RNNs, and transformers, for advanced ML applications.
Collaborate with cross-functional teams to deploy ML models into production environments, ensuring seamless integration with existing systems.
Utilize version control systems like Git to manage codebase efficiently and promote collaborative development practices.

Ideal Profile

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience in utilizing Amazon SageMaker for machine learning model development and deployment.
Demonstrated expertise in stable diffusion techniques, ControlNet implementation, and building automated ML pipelines.
Proficiency in Python programming, along with experience in popular libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
Familiarity with deep learning architectures and their applications in computer vision, natural language processing, or other domains.
Experience with cloud computing platforms like AWS, Google Cloud, or Azure is a plus.
Knowledge of PHP for web-related ML projects and integrations is desirable but not mandatory.
Excellent problem-solving skills, a passion for innovation, and a proactive mindset.
Strong communication and teamwork abilities to collaborate effectively with colleagues and stakeholders.

What's on Offer?

Work alongside & learn from best in class talent
Excellent career development opportunities
Salary in USD

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