Help develop an integrated analytical workflow that leverages Cloud infrastructure and Large Language Models (LLMs), alongside traditional machine learning, to derive actionable insights from complex vehicle data.
Compensation
The salary range for this role is $25.00-40.00/hr for Illinois based applicants.
Responsibilities
Design and implement robust Python-based tools to parse, decode, and extract features from automotive PCAP logs.
Apply advanced signal-processing techniques to transform vehicle data and perform large-scale analysis of corner cases of interest.
Research, develop, and train machine learning models (e.g., Decision Trees, Random Forests, Neural Networks) for prediction, detection, and classification tasks.
Architect the end-to-end workflow that processes raw vehicle logs, performs automated analysis, and prepares data for model training.
Create easy-to-understand dashboards for the general audience, focusing clearly on outcomes to support decision making.
Lead data science initiatives to solve complex business problems using AI, ML, and statistical methods.
Locations (2)
Ljubljana, Slovenia, Slovenia
Barcelona, Catalonia, Spain
Compensation
€67,130.00 - €124,670.00
Responsibilities
Transform the way complex business problems are solved through effective data management, Data Science, Artificial Intelligence, statistical methods and Machine Learning.
Translate complex analytical findings into clear recommendations for business users, using effective visualization and storytelling to influence strategic decisions, including with senior business leaders.
Establish effective approaches to managing data for analytical use and contribute to the development of Novartis data management and Data Science capabilities.
Coordinate and prioritise resources across critical initiatives, proactively managing changing requirements, stakeholder expectations, operational risks and competing priorities.
Director of DDIT ITOT Platform, Solution, Automation & AI Delivery
Lead the adoption, delivery, and value realization of Automation, Agentic AI, Robotics AI and Digital Solutions across manufacturing sites, transforming innovative technologies into scalable business solutions.
Locations (2)
Barcelona, Catalonia, Spain
Ljubljana, Slovenia, Slovenia
Compensation
Expected Annual Base Salary Range: €78,500 - €145,900.00
Responsibilities
Own and maintain site Automation & AI roadmaps, ensuring alignment with global, platform and operational strategies.
Lead the adoption, deployment and scaling of AI, Robotics, Automation and Digital Solutions across manufacturing sites.
Drive the integration of AI, Robotics, Operational Technology (OT), data platforms and digital capabilities to enable connected and intelligent manufacturing operations.
Manage the Automation and AI portfolio, including demand and prioritization, delivery risks, dependencies, budgets and benefits realization.
Ensure platform capabilities, standards, governance and technology roadmaps align with operational and strategic business objectives.
Associate Director, Data Science & Artificial Intelligence
You will be working with the fine tuning team on making state-of-the-art generative models and running autonomous work streams under the supervision of experienced scientists.
Locations (2)
Palo Alto, California, United States
Montreal, Quebec, Canada
Responsibilities
Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists.
Assist in the design and implementation of machine learning models and algorithms.
Conduct research on the latest advancements in natural language processing and LLMs.
Contribute to the development and optimization of our LLM systems.
Collaborate with cross-functional teams to integrate LLM technologies into various applications.
Requirements
Currently doing a Master or PhD at a tier 1 engineering schools / Universities
Nice to have: experience in fine tuning LLMs
Nice to have: experience used complex HPC infrastructure with full autonomy
Responsible for analyzing and reviewing user profiles, audio, videos, and text-based content and/or investigating, escalating and/or resolving issues that are reported by users or flagged by the system.
Compensation
Contract: 12-month contract (with view to extension)
Responsibilities
Review, classify and/or remove, work with, view, or proactively engage with content according to client guidelines
Understand and remain updated on changing client policies and guidelines
Investigate, resolve, and relay complex content issues to the broader Trust and Safety team
Develop and execute prompt strategies to interrogate large language models on various topics related to responsible AI
Analyze the model's responses for appropriateness, inappropriateness, refusal to answer, or appending DISCLAIMERS to the response according to client definitions and guidance
Requirements
Bachelor's degree in Computer Science, Business, or English
Nice to have: Deep familiarity and passion for responsible AI
Nice to have: High affinity and cultural awareness of political and social situations
Nice to have: Ability to work well individually and as part of a team
Nice to have: Ability to work differing rotations/shifts and non-standard work hours
Collaborate with internal stakeholders, cross-functional teams, external partners and institutions to solve critical business challenges and identify opportunities for operational efficiency and innovation.
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