Machine Learning AI Developer
Salary undisclosed
Checking job availability...
Original
Simplified
Actual Title of the role: Machine Learning AI Developer
Duration: 12 months+
Rate : $80/hr on W2
Onsite/Hybrid/Remote: hybrid (SV office)
Only Locals/Nonlocals can be submitted: San Jose, CA Only locals
Mode of interview: Zoom + In-person
No of rounds of interview: 3
Machine Learning AI Developer - IT Infrastructure, InfoSec, and Operations
We are seeking a talented and innovative Machine Learning AI Developer to join our IT Infrastructure, InfoSec, and Operations team. In this role, you will be at the forefront of leveraging artificial intelligence to enhance our organization s security, efficiency, and operational capabilities.
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms to address complex challenges in areas such as threat detection, anomaly detection, and risk assessment.
- Develop AI-driven solutions that integrate seamlessly with existing IT infrastructure and security systems.
- Collaborate with cross-functional teams to identify and prioritize AI use cases that align with organizational goals.
- Build and maintain scalable data pipelines to process large volumes of logs, telemetry signals, and other relevant data sources.
- Manage cloud-based AI/ML infrastructure using services such as AWS, Azure, or Google Cloud Platform.
- Develop and maintain CI/CD pipelines for automated model training, testing, and deployment.
- Ensure the security and integrity of AI models and data throughout the development lifecycle.
- Stay current with advancements in AI/ML technologies and security trends to incorporate new techniques into solutions.
Requirements:
- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field.
- Overall 10 Years experience with 3+ years of experience developing and implementing machine learning models, preferably in IT or cybersecurity contexts.
- Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization technologies (Docker, Kubernetes).
- Knowledge of data processing tools and big data technologies (e.g., Spark, Hadoop).
- Familiarity with cybersecurity principles and tools such as SIEM or IDS/IPS systems.
- Excellent problem-solving skills with the ability to address complex challenges creatively.
- Strong communication skills and ability to collaborate effectively across teams.
Preferred Qualifications:
- Experience with natural language processing (NLP) or large language models (LLMs).
- Familiarity with DevSecOps practices and tools.
- Knowledge of regulatory compliance requirements (e.g., GDPR, HIPAA).
- Contributions to open-source AI/ML projects or research publications in the field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Actual Title of the role: Machine Learning AI Developer
Duration: 12 months+
Rate : $80/hr on W2
Onsite/Hybrid/Remote: hybrid (SV office)
Only Locals/Nonlocals can be submitted: San Jose, CA Only locals
Mode of interview: Zoom + In-person
No of rounds of interview: 3
Machine Learning AI Developer - IT Infrastructure, InfoSec, and Operations
We are seeking a talented and innovative Machine Learning AI Developer to join our IT Infrastructure, InfoSec, and Operations team. In this role, you will be at the forefront of leveraging artificial intelligence to enhance our organization s security, efficiency, and operational capabilities.
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms to address complex challenges in areas such as threat detection, anomaly detection, and risk assessment.
- Develop AI-driven solutions that integrate seamlessly with existing IT infrastructure and security systems.
- Collaborate with cross-functional teams to identify and prioritize AI use cases that align with organizational goals.
- Build and maintain scalable data pipelines to process large volumes of logs, telemetry signals, and other relevant data sources.
- Manage cloud-based AI/ML infrastructure using services such as AWS, Azure, or Google Cloud Platform.
- Develop and maintain CI/CD pipelines for automated model training, testing, and deployment.
- Ensure the security and integrity of AI models and data throughout the development lifecycle.
- Stay current with advancements in AI/ML technologies and security trends to incorporate new techniques into solutions.
Requirements:
- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field.
- Overall 10 Years experience with 3+ years of experience developing and implementing machine learning models, preferably in IT or cybersecurity contexts.
- Strong programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization technologies (Docker, Kubernetes).
- Knowledge of data processing tools and big data technologies (e.g., Spark, Hadoop).
- Familiarity with cybersecurity principles and tools such as SIEM or IDS/IPS systems.
- Excellent problem-solving skills with the ability to address complex challenges creatively.
- Strong communication skills and ability to collaborate effectively across teams.
Preferred Qualifications:
- Experience with natural language processing (NLP) or large language models (LLMs).
- Familiarity with DevSecOps practices and tools.
- Knowledge of regulatory compliance requirements (e.g., GDPR, HIPAA).
- Contributions to open-source AI/ML projects or research publications in the field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job