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1–3 jobs· newest first

Senior Data Scientist – AI/ML & MLOpsNew
ARHS · Warsaw, Poland
Hybrid · Senior
Agentic AI — PhD Intern (Autonomous AI Agent)
Keysight · Calabasas, US
$51–$56Internship · Intern
Agentic AI — PhD Intern (Modeling Agent)
Keysight · Calabasas, US
$51–$56Internship · Intern

+10K new in the last hour

Senior Data Scientist – AI/ML & MLOps

ARHS · Posted Nov 12, 2026

Warsaw, Masovian Voivodeship, Poland
Hybrid
Senior
8+ years

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Lead the design, development, deployment, and maintenance of advanced Data Science, Machine Learning, and AI solutions for a major European Union institution.

Responsibilities

Design and develop data analytic, data visualisation and AI solutions
Elicit and analyse business needs, requirements, and user stories in context of data science processes
Support business experts and product owners during definition of requirements and models development
Produce data scientist related documentation for models and analytical modules
Define, collect, and interpret model metrics

Requirements

Bachelor's degree in a relevant field (implied by 8 years IT experience)

Skills

Advanced Analytics Artificial Intelligence Machine Learning Data Platforms Architecture Data Analytics Data Visualisation Modern Databases (NoSQL, SQL, Document)Python R SQL MLOps DevOps Version Control Reproducible Pipelines CI/CD Automated Testing Monitoring Documentation Controlled Promotion between Environments Docker Kubernetes/OpenShift CPU/GPU Compute Containerised Deployment Responsible AI Model Risk Data Protection Bias Mitigation Explainability Traceability Human Oversight Governance Controls pandas scikit-learn PyTorch TensorFlow MLflow Spark/PySpark

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Agentic AI — PhD Intern (Autonomous AI Agent)

Keysight · Posted Nov 6, 2026

Calabasas, California, United States
Internship · Intern
$51–$56

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Internship focused on developing autonomous AI agent workflows for engineering processes.

Compensation

CA Pay Range: (PhD) $51-$56

Responsibilities

Build an autonomous agentic workflow that maintains task state and context across multiple steps and sessions.
Develop tool integrations connecting the system to approved communication, planning, document, workflow, and engineering applications.
Implement mechanisms for incorporating new information, updating task state, and resuming incomplete work.
Develop appropriate state and provenance mechanisms for decisions, actions, outcomes, and feedback.
Design guardrails for approval, permissions, bounded actions, failure recovery, and escalation.

Requirements

PhD in Machine Learning
PhD in Computer Science
PhD in Electrical Engineering
PhD in Electronic Engineering
PhD in Applied Mathematics

Skills

Python software engineering LLM agents tool integration

Agentic AI — PhD Intern (Modeling Agent)

Keysight · Posted Nov 6, 2026

Calabasas, California, United States
Internship · Intern
$51–$56

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Design, build, and evaluate an agentic flow for engineering modeling and optimization workflows.

Compensation

CA Pay Range: (PhD) $51-$56

Responsibilities

Build an agentic flow that configures data preparation, model training, and optimization for a new use case with minimal input from the user.
Develop tool integrations connecting the agent to simulation, data, optimization, and analysis systems.
Implement autonomous data analysis so the agent can characterize an unfamiliar dataset and choose an appropriate setup.
Build explainability into the flow, including why a configuration was chosen, what the resulting model depends on, and how confident it is.
Design guardrails such as validation before expensive runs, bounded actions, and compute budgets so failures are cheap and visible.

Requirements

PhD in Machine Learning
PhD in Computer Science
PhD in Electrical or Electronic Engineering
PhD in Applied Mathematics
Nice to have: industry experience shipping agent or LLM-based systems to real users

Skills

Python software engineering version control

version control

reproducible pipelines

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reproducible pipelines

tool and function calling

context management

benchmark design

held-out test sets

automated scoring

careful interpretation of results

Benefits

Mentorship across agentic AI, software systems, and engineering workflows
Portfolio-defining project in applied agentic AI

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