AI Engineer
You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency.
You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency.
Lead an organization of 25-30 engineers, data scientists, and ML practitioners across Berlin, Warsaw, NYC, Boulder, and Toronto, through a l
Gehalt: ab EUR 4.355 brutto/Monat Become part of a vital chain and contribute to our common goal of making people’s lives better.
MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience - 5-7+ years of han
be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence - work on
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda.
We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda.
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Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
At Helsing, we are pioneering the future of autonomous decision-making for defence.
Intro Hamburg | €70.000,00 - €80.000,00 p.a.
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
When travelers are searching for a hotel, we want the obvious choice to be trivago!
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Taktile empowers financial institutions to transform into truly AI-native organizations.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
adjoe builds the technologies behind mobile apps growth and monetization.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine le
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency. Key responsibilities include: - Developing and validating statistical programming code to support data analysis and reporting for clinical trials. - Collaborating with data scientists and statisticians to understand data requirements and analytical needs. - Ensuring compliance with industry standards and regulatory guidelines in programming practices. - Creating and maintaining documentation for programming processes, code, and outputs. - Participating in the review of analysis datasets and final reports to ensure accuracy and completeness.
You will bring relevant clinical data science experience, along with the following qualifications and skills. Required qualifications and experience: - Degree in computer science, statistics, life sciences, or a related field. - 3 years of work experience required with background in AI, cloud, and data-related environments - Understanding of AI tools and technologies. - Hands-on experience with cloud platforms, particularly AWS. - Proven experience working across a variety of projects and use cases. - Strong Python programming skills, including the ability to build and maintain knowledge graphs. - Experience working with data engineering, data science, or advanced analytics solutions. - Pharmaceutical industry experience is not required. Employment with ICON is contingent upon having the legal right to work in the country where the role is based.
Rewards &
may include: - Competitive base salary and performance related incentives - Health and wellbeing programmes including medical, dental, and vision coverage where applicable - Retirement and pension plans - Life assurance and disability coverage - Employee assistance programmes and wellbeing resources - Learning and development opportunities through structured training and career pathways Benefits may vary depending on role and location. Visit our careers site to read more about the
ICON offers. Inclusion and Accessibility ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported. If you require reasonable accommodations during the recruitment process, please let us know or submit a request here. Are you a current ICON Employee? Please click here to apply
AI Engineer At ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON’s global expertise. As the world’s largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide. As an AI Engineer at ICON, you will develop and implement programming solutions that enhance the analysis of clinical trial data.
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.