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Summary

Required Qualifications

8+ years of experience in machine learning, data science, AI engineering, ML engineering, or related roles.
Strong hands-on experience building, tuning, validating, and deploying ML models.
Experience mentoring data scientists, ML engineers, data engineers, or analytics teams.
Strong knowledge of supervised learning, unsupervised learning, classification, regression, forecasting, NLP, and model evaluation techniques.
Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar.
Practical experience with MLOps concepts such as model registry, experiment tracking, CI/CD, deployment pipelines, monitoring, drift detection, and retraining.
Experience working with enterprise data platforms, cloud platforms, and modern data engineering practices.
Strong understanding of data quality, feature engineering, model validation, and production support.
Ability to translate business problems into AI/ML solution designs.
Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.

Technical Skills

Programming: Python, SQL
Machine Learning: scikit-learn, XGBoost, TensorFlow, PyTorch, statistical modeling, forecasting, NLP
MLOps: MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions
Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms
AI/GenAI: LLMs, prompt engineering, RAG, semantic search, text-to-SQL, document intelligence
Governance: model documentation, lineage, metadata, data quality, responsible AI, privacy and security controls

Desired Skills:

Preferred Qualifications

Experience in healthcare, dental insurance, health insurance, financial services, or another regulated industry.
Experience with platforms such as Azure ML, Dataiku, Databricks, Snowflake, MLflow, GitHub, GitHub Actions, Power BI, or similar tools.
Experience with GenAI and LLM-based solutions.
Experience designing AI solutions using enterprise data platforms such as Snowflake or cloud-based data ecosystems.
Experience with responsible AI, model governance, bias detection, explainability, and audit requirements.
Experience supporting AI governance councils, architecture reviews, or model risk review processes.
Experience with healthcare data domains such as members, providers, claims, benefits, eligibility, call center, clinical, dental, or operational data.

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.

Dice Id: 10282686
Position Id: 26-00217
Posted 8 days ago

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Santa Rosa, California

•

Today

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a

Full-time

USD 143,050.00 - 238,420.00 per year

AI/ML Engineer

Hybrid in San Francisco, California

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Today

Job Title: GTS - US Entity - Machine Learning Engineer Job Description: Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP). Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps practices

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Contract

Depends on Experience

Senior Security Engineer, AI/ML

Foster City, California

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Today

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Company Overview Qualys is a leading provider of cloud-based security and compliance solutions, processing vast amounts of data to help our global customers secure their networks, devices, and applications. With a strong focus on innovation and scale, Qualys empowers organizations to achieve continuous security and compliance through real-time visibility and analytics. As we cont

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USD 115,000.00 - 140,000.00 per year

AI /ML Software Engineer

Fremont, California

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5d ago

Title- AI /ML Software Engineer Location- Fremont, CA- Fully Onsite From Day-1 (Local to bay Area) Type- Long term Contract- Mode of Interview- F2F Job Description- Software team, where you ll work alongside some of the brightest engineers globally to power critical machine learning models for internal service applications. These applications support Client s service centers, collision centers, global customer relationship management, and insurance claims. As a python developer, you ll tackle co

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Third Party, Contract

Depends on Experience

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