Generative AI Engineer
Scalable Systems
About the role
Job Summary
We are seeking a dynamic and innovative Generative AI Engineer to join our cutting‑edge technology team. In this role, you will be at the forefront of developing and deploying advanced artificial intelligence models that leverage generative techniques to solve complex problems across various domains. Your expertise will drive the design, training, and implementation of state‑of‑the‑art AI solutions, enabling our organization to harness the power of natural language processing, machine learning frameworks, and big data analytics. This is an exciting opportunity to shape the future of AI‑driven innovation in a fast‑paced, collaborative environment.
Responsibilities
- Develop, optimize, and deploy generative AI models utilizing frameworks such as TensorFlow and other machine learning tools.
- Lead model training efforts using unsupervised learning techniques to extract insights from large‑scale datasets.
- Design and implement scalable data pipelines with ETL processes to prepare data for AI applications, ensuring data quality and integrity.
- Collaborate with cross‑functional teams to integrate natural language processing capabilities into products and services.
- Utilize cloud platforms like AWS for model deployment, management, and scaling of AI solutions.
- Conduct data mining and analyze large datasets using SQL, Spark, Hadoop, and other big data technologies to inform model development.
- Work with database design specialists to ensure efficient storage and retrieval of structured and unstructured data for AI projects.
- Apply knowledge of quantum engineering principles where applicable for advanced computational modeling.
- Implement analytics dashboards using tools like Looker to monitor model performance and business impact.
- Stay current with emerging trends in machine learning frameworks, AI research, and natural language processing to continuously improve solutions.
Requirements
- Proven experience in developing generative AI models with a strong background in machine learning frameworks such as TensorFlow or PyTorch.
- Proficiency in programming languages including Python, Java, C, Bash (Unix shell), VBA, and R for data analysis and model development.
- Hands‑on experience with AWS cloud services for model deployment and scaling in production environments.
- Solid understanding of unsupervised learning methods and their application in real‑world scenarios.
- Expertise in big data technologies such as Hadoop, Spark, Talend, and ETL processes for handling large datasets.
- Knowledge of natural language processing techniques and their integration into AI systems.
- Familiarity with database design principles and SQL for efficient data management.
- Experience with data mining tools like SAS or Looker for analytics insights.
- Strong background in analytics, data visualization, and dashboard creation to track model performance metrics.
- Ability to work effectively within a collaborative team environment while managing multiple projects simultaneously.
- Join us as a Generative AI Engineer to push the boundaries of artificial intelligence! Bring your passion for innovation, technical expertise, and enthusiasm for transforming data into impactful solutions that drive our organization forward.
Job Details
- Job Types: Full-time, Permanent, Fixed term contract
- Pay: $64,719.28‑$174,593.66 per year
- Work Location: Remote
Requirements
- Proven experience in developing generative AI models with a strong background in machine learning frameworks such as TensorFlow or PyTorch.
- Proficiency in programming languages including Python, Java, C, Bash (Unix shell), VBA, and R for data analysis and model development.
- Hands-on experience with AWS cloud services for model deployment and scaling in production environments.
- Solid understanding of unsupervised learning methods and their application in real-world scenarios.
- Expertise in big data technologies such as Hadoop, Spark, Talend, and ETL processes for handling large datasets.
- Knowledge of natural language processing techniques and their integration into AI systems.
- Familiarity with database design principles and SQL for efficient data management.
- Experience with data mining tools like SAS or Looker for analytics insights.
- Strong background in analytics, data visualization, and dashboard creation to track model performance metrics.
- Ability to work effectively within a collaborative team environment while managing multiple projects simultaneously.
Responsibilities
- Develop, optimize, and deploy generative AI models utilizing frameworks such as TensorFlow and other machine learning tools.
- Lead model training efforts using unsupervised learning techniques to extract insights from large-scale datasets.
- Design and implement scalable data pipelines with ETL processes to prepare data for AI applications, ensuring data quality and integrity.
- Collaborate with cross-functional teams to integrate natural language processing capabilities into products and services.
- Utilize cloud platforms like AWS for model deployment, management, and scaling of AI solutions.
- Conduct data mining and analyze large datasets using SQL, Spark, Hadoop, and other big data technologies to inform model development.
- Work with database design specialists to ensure efficient storage and retrieval of structured and unstructured data for AI projects.
- Apply knowledge of quantum engineering principles where applicable for advanced computational modeling.
- Implement analytics dashboards using tools like Looker to monitor model performance and business impact.
- Stay current with emerging trends in machine learning frameworks, AI research, and natural language processing to continuously improve solutions.
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free