Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
Requirements
- Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
- Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
- Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
- Strong foundational understanding of algorithmic complexity and data structure optimization.
- Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
Responsibilities
- Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
- Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
- Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
- Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
- Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
- Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
- Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
Other
- This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.
- Degree in Computer Science, Engineering, Statistics, or a related technical field.
- Excellent problem-solving, collaboration, and communication abilities.
- Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
- Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
