Generative AI ML Engineer | Remote & Relocation Support

Adidev Technologies Inc; Palo Alto (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Paid relocation

Remote assistance

Regular salary reviews

Job summary

Adidev Technologies Inc. seeks a Machine Learning Engineer to lead deployment of advanced ML models with an emphasis on Generative AI. You will craft AI-driven solutions, driving innovation and delivering value for high-profile clients.

The role entails full project lifecycles, from data modeling to deployment, with a focus on scalable, compliant AI systems and strong collaboration across teams nationwide. Requires expertise in Python, ML libraries, and cloud platforms.

Qualifications

• Degree in Computer Science, Engineering, Statistics, or a related technical field.
• Experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
• Experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
• 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.
• 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

• 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.

Skills

Python

TensorFlow

PyTorch

Generative AI

NLP

Computer Vision

Cloud (AWS/Azure/GCP)

Docker & Kubernetes

MLOps

SQL/NoSQL

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

Git

AWS

Job description

Adidev Technologies Inc. seeks a Machine Learning Engineer to lead deployment of advanced ML models with an emphasis on Generative AI. You will craft AI-driven solutions, driving innovation and delivering value for high-profile clients.

The role entails full project lifecycles, from data modeling to deployment, with a focus on scalable, compliant AI systems and strong collaboration across teams nationwide. Requires expertise in Python, ML libraries, and cloud platforms.