15 beste Stellen als machine learning engineer in freienbach, sz – aktuell auf Personalsuche

Deep Learning Specialist B2B Process Industry (m/w/d)
GLONETPARTNERS —Zürich, ZH
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- Master
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AWS EMEA SARL (Switzerland Branch) - G96 —Zürich, ZH
- 100%
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- Englisch
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Gravis Robotics —Zürich, ZH
- 100%
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Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
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- Doktorat
- Master
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Senior Projektmanager:in Data & AI 80-100%
Eraneos Switzerland AG —Zürich, ZH
- Management-Erfahrung
- PMP
- Englisch
Senior Data & AI Consultant/Consulting Lead (Switzerland)
Unit8 SA —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
- Homeoffice-Möglichkeit
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Head of FSI ( Financial services industry )
ELCA Informatique SA —Zürich, ZH
- 100%
- Englisch
- Kommunikationsfähigkeit
Praktikum Security Software Engineering und Machine Learning
Ergon Informatik —Zürich, ZH
- Homeoffice
- C++
- Bachelor
- Linux
- Pendlerbeitrag
- Homeoffice-Möglichkeit
22 Std.
Praktikum Security Software Engineering und Machine Learning
Ergon Informatik AG —Zürich, ZH
- CHF 56’400 - CHF 68’400 pro Jahr
- Teilzeit
- C++
- Bachelor
- Linux
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20 Std.
Cybersecurity Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- C++
- Kommunikationsfähigkeit
17 Std.
Principal Field Engineer
Cognite - AI for Industry —Zürich, ZH
- Homeoffice
- Bis zu 50% Reiseanteil
- Analysefähigkeit
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10 Std.
Working Student — Fleet Observability & Data Visualization
Gravis Robotics —Zürich, ZH
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Gravis Robotics —Zürich, ZH
- 100%
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- Analysefähigkeit
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u-blox —Thalwil, ZH
- Englisch
- Master
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18 Std.

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Deep Learning Specialist B2B Process Industry (m/w/d)

GLONETPARTNERS
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Qualifikationen

Doktorat
SAP
Salesforce
Englisch
Master
Analysefähigkeit
Python
Deutsch

Vollständige Stellenbeschreibung

We are seeking a highly proficient Deep Learning Specialist to spearhead initiatives aimed at optimizing B2B processes within the industrial sector. If you are passionate about leveraging deep learning techniques to enhance operational efficiency and drive business growth, we want to hear from you.

Responsibilities:

Data Analysis: Collaborate with data scientists and analysts to gather, preprocess, and analyze large datasets from B2B process industry systems such as SAP and Salesforce.
Deep Learning Model Development: Design, train, and optimize deep learning models, including neural networks, tailored to address specific challenges in B2B processes.
Customer Interaction Enhancement: Develop deep learning solutions to improve customer interactions, including chatbots, recommendation engines, and personalization algorithms, integrated with SAP and Salesforce platforms.
Marketing Optimization: Create predictive models to optimize marketing strategies, enhance customer targeting, and improve conversion rates within the B2B context.
Sales Process Enhancement: Implement deep learning solutions to identify high-potential leads, optimize cross-selling and upselling opportunities, and streamline the sales process within the B2B domain.
A/B Testing: Collaborate with cross-functional teams to design and analyze A/B tests, measuring the impact of deep learning-driven enhancements on B2B processes.
Data Privacy and Compliance: Ensure that all deep learning initiatives adhere to data privacy regulations and industry best practices within the B2B process industry.
Model Deployment: Deploy deep learning models into production environments, monitor their performance, and provide ongoing maintenance and enhancements, integrated with SAP and Salesforce systems.
Documentation: Maintain comprehensive documentation of deep learning models, methodologies, and outcomes relevant to the B2B process industry.
Collaboration: Work closely with cross-functional teams, including data scientists, engineers, marketers, and sales professionals, to align deep learning initiatives with the specific needs and objectives of the B2B process industry.

Qualifications:

Master's or Ph.D. in Computer Science, Machine Learning, or a related field, with a focus on deep learning applications.
Proven track record of developing and deploying deep learning models within B2B process industries, demonstrating measurable impact on operational efficiency and business outcomes.
Proficiency in Python programming and deep learning libraries such as TensorFlow or PyTorch, with experience in integrating with SAP and Salesforce systems.
Knowledge of natural language processing (NLP) techniques and computer vision is advantageous.
Familiarity with A/B testing methodologies and data analysis tools relevant to the B2B context.
Strong problem-solving skills and analytical abilities, coupled with effective communication and collaboration capabilities.
Ability to translate complex business challenges into actionable deep learning solutions tailored to the B2B process industry.

Language: Englisch, German

Start: asap

Duration: 6 months, with the option for extension

Jetzt bewerben

Erweiterte Suche

machine learning engineer Jobs in freienbach, sz

Deep Learning Specialist B2B Process Industry (m/w/d)

Internship - Humanoid Motion Generation (Diffusion or Flow Matching)

Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing

Mid / Senior SLAM Engineer

Senior Software Engineer - Distributed Systems

Senior Projektmanager:in Data & AI 80-100%

Senior Data & AI Consultant/Consulting Lead (Switzerland)

Head of FSI ( Financial services industry )

Praktikum Security Software Engineering und Machine Learning

Praktikum Security Software Engineering und Machine Learning

Cybersecurity Engineer

Principal Field Engineer

Working Student — Fleet Observability & Data Visualization

Functional Safety Engineer

Senior Application Engineer

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Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in freienbach, sz erhalten

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