Machine Learning Engineer
at Adidev Technologies Inc
San Francisco, CA 94016, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 22 Jul, 2024 | Not Specified | 28 Apr, 2024 | N/A | Algorithms,Google,Kubernetes,Computer Vision,Reinforcement Learning,Deep Learning,Cloud Computing,Technology,Nlp,Docker,Ml,Fedex,Consultative Services,Containerization,Aws,Knowledge Sharing,Data Analysis,Statistics,Python,Azure,Devops,Spotify,It | No | No |
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Description:
SUMMARY:
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 premier client.
REQUIREMENTS:
- Degree in Computer Science, Engineering, Statistics, or a related technical field.
- 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.
- Excellent problem-solving, collaboration, and communication abilities.
- 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.
- Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
- Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
- 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.
- Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
- Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
- Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
Responsibilities:
KEY 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.
- Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
- Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
- Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer Science, Engineering, Statistics
Proficient
1
San Francisco, CA 94016, USA