Position Overview:

We are seeking a skilled and innovative Generative AI Engineer to join our team. As a Generative AI Engineer, you will play a crucial role in developing cutting-edge machine learning models and algorithms to generate creative and intelligent outputs. You will work collaboratively with cross-functional teams to design, train, and deploy generative AI models that push the boundaries of artificial intelligence. Your expertise will contribute to solving complex problems and advancing the capabilities of our AI systems.

Responsibilities:

1. Research and Development: Conduct in-depth research and stay up-to-date with the latest advancements in generative AI, including techniques like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Transformers and other relevant models.

2. Model Development: Design, develop, and implement state-of-the-art generative AI models and algorithms to generate novel, high-quality outputs across various domains such as image, text, and audio.

3. Data Preparation: Gather and preprocess large datasets for training generative models, ensuring data quality, integrity, and compatibility with the chosen model architectures.

4. Training and Optimization: Train and fine-tune generative AI models using advanced machine learning techniques, exploring hyperparameter optimization and regularization methods to improve model performance.

5. Performance Evaluation: Evaluate and assess the performance of generative AI models through metrics, qualitative analysis, and user feedback to identify areas for improvement and drive model enhancements.

6. Collaborative Work: Collaborate with cross-functional teams, including data scientists, software engineers, and designers, to integrate generative AI models into practical applications and products.

7. Model Deployment: Support the deployment and integration of generative AI models into production systems, ensuring scalability, efficiency, and reliability.

8. Documentation and Communication: Document research findings, methodologies, and code for knowledge sharing purposes. Present research outcomes and technical insights to internal teams and external stakeholders as required.

Requirements:

1. Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Relevant research experience or publications are a plus.

2. Technical Skills: Strong programming skills in languages such as Python, TensorFlow, or PyTorch. Proficiency in machine learning frameworks and libraries. Solid understanding of generative AI techniques and deep learning architectures.

3. Experience: Proven experience in developing and implementing generative AI models. Familiarity with training large-scale neural networks and working with real-world datasets.

4. Problem-Solving Abilities: Ability to analyze complex problems and devise creative solutions using generative AI techniques. Strong mathematical and statistical foundation.

5. Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

6. Collaboration: Demonstrated ability to work effectively in a collaborative, interdisciplinary team environment, leveraging diverse skills and expertise to achieve common goals.

7. Adaptability: Willingness to adapt and learn new technologies, frameworks, and methodologies as required in a fast-paced, dynamic environment.

Join our team and contribute to the exciting field of generative AI, driving the development of intelligent systems that have the power to revolutionize various industries and enhance human creativity.

Singularity Labs

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