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Skill:Machine Learning (ML) pipelines

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1–4 jobs· newest first

AI/ML EngineerNew
BCMC · Arlington, US
Extremely competitive salaryOn-site · Contract · Senior
Machine Learning Audio R & D Engineer
Apple · Cupertino, US
On-site
AI Engineer (m/w/d)
synvert (a GlobalLogic company) · Münster, Germany
Hybrid · Full-time · Mid
AI Architect
Heartland FPG · Carmel, US

+10K new in the last hour

AI/ML Engineer

BCMC · Posted Nov 12, 2026

Arlington, Virginia, United States
On-site
Contract · Senior
Extremely competitive salary
5+ years

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Develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation.

Responsibilities

Develop automated data pipelines for machine learning technology integration initiatives
Create automation workflows for malware sample collection, detonation, and taxonomy
Implement AI/LLM integrations with Databricks and other cloud services
Implement data integration automation between pilot and production systems
Support Automated Malware Analysis (AMA) platform development and enhancement

Requirements

BS in Computer Science
BS in Data Science
Nice to have: malware analysis automation
Nice to have: Databricks
Nice to have: Airflow

Skills

Python AWS AI/LLM configuration Machine Learning (ML) pipelines Amazon Bedrock APIs Git CI/CD Databricks Docker Kubernetes Kafka Kinesis Spark Hadoop

Benefits

95% employer paid for employee medical, dental, & vision coverages
100% employer paid for employee life, STD & LTD disability coverages
401k with company match and profit sharing
Flexible Spending Account (FSA) for dependent & health care
11 standard holidays & 3 weeks of annual leave

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Machine Learning Audio R & D Engineer

Apple · Posted Nov 10, 2026

Cupertino, California, United States
On-site
4+ years

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Develop and deploy machine learning models for audio and speech applications within Apple’s MGCT Audio team.

Responsibilities

Develop machine learning model architectures for audio problems such as sound event detection, scene classification, and context understanding
Train, fine‑tune, and compress models for production
Build pipelines, write datasets, and create evaluation frameworks
Participate in cross‑functional teams to develop features and ship products
Create intellectual property through patents and publications

Requirements

MS in CS or EE
PhD in CS or EE
Nice to have: multimodal large language models (LLMs)
Nice to have: patents
Nice to have: publications

Skills

machine learning audio and speech applications Python C C++model architecture design training/testing methodologies

AI Engineer (m/w/d)

synvert (a GlobalLogic company) · Posted Nov 9, 2026

Münster, North Rhine-Westphalia, Germany
Hybrid
Full-time · Mid
2+ years

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Analyse, Konzeption, Entwicklung und Optimierung von AI- und GenAI-Lösungen in Cloud- und On-Premises-Umgebungen für Kunden.

Responsibilities

Analyse, Konzeption, Entwicklung und Optimierung von AI- und GenAI-Lösungen in Cloud- und On-Premises-Umgebungen für Kunden aus unterschiedlichen Branchen
Integration von GenAI-Komponenten (z. B. LLMs, Embeddings, Vektordatenbanken) in bestehende Architekturen sowie Migration bestehender AI-Workloads in Cloud- oder hybride Plattformen
Aufbau und Weiterentwicklung von AI-/GenAI-Plattformen (z. B. für Model Hosting, Prompt-Pipelines, Retrieval-Augmented-Generation [RAG], MLOps/LLMOps)
Umsetzung von AI-basierten Use Cases mittels moderner Cloud-Services, Machine-Learning-Frameworks und GenAI-APIs
Erstellung von Prototypen, Proof of Concepts und Showcases zur Bewertung neuer Technologien und Architekturen

Requirements

Hochschulabschluss in einem MINT-Studiengang
Nice to have: Azure
Nice to have: AWS
Nice to have: GCP
Nice to have: Snowflake

Skills

AI GenAI Data-Engineering Machine Learning Pipelines

AI Architect

Heartland FPG · Posted Nov 7, 2026

Carmel, Indiana, United States
5+ years

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Responsibilities

Define and maintain the enterprise AI architecture blueprint, standards, and technical roadmap.
Design and oversee development of AI models, pipelines, and deployment environments.
Architect AI and machine learning solutions for CPG use cases such as demand forecasting, trade promotion optimization, and consumer and shopper insights across HeartlandFPG brands.
Lead technical evaluation and selection of AI platforms, tools, and frameworks, including ongoing stewardship of the Abacus.AI platform.
Ensure AI architecture aligns with enterprise data platform design managed through Microsoft Fabric.

Requirements

Bachelor's Degree in Computer Science, Data Science, Mathematics, Engineering, or related field

Skills

AI/ML solution design AI architecture large language models machine learning pipelines AI platform administration

machine learning pipelines

model compression

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LLM-Integration

Infrastructure as Code

Benefits

Flexible Arbeitszeiten
Workation-Möglichkeiten
JobRad-Leasing
Müsli-Bar
Kantine

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data architecture

enterprise integration patterns

model explainability

model risk management

Microsoft Fabric

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