Senior Expert for Industry Foundation Models Job at BMW (Munich)

Distinguished Technologist, Deep Learning

Joining our HPE Hybrid Cloud team and working as part of our OpsRamp team is a c...

Location

United States , San Jose

Salary:

164500.00 - 398500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
At least 4 years of hands-on expertise in defining, building, training and / or optimizing foundational deep learning models at scale in PyTorch, HF and other ML frameworks and libraries
Experience and/or deep understanding in various deep learning architectures like CNNs, GNNs, Transformers, Reinforcement Learning etc. is a strong advantage
Strong hands-on experience/understanding in pre-training, fine-tuning, distilling, aligning open-source large language models and have them complement the in-house foundational models
Hands-on experience developing multi-agent applications around a mixture of in-house and open-source models while leveraging latest in RAG and Prompt Engineering tooling techniques
Strong customer focus and obsession with improving service availability/performance and user experience/consumption using measurable SRE metrics
Must have a track record of working alongside other engineering teams architecting, building, and deploying mission-critical, highly distributed, large-scale SaaS applications
Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing architecture
Effective technical leadership skills to influence diverse groups to move toward common goals/strategies

Job Responsibility

Oversee build of OpsRamp’s CoPilot for Autonomous Operations for the Hybrid Cloud
Understand latest in GenAI/ML for ITOM
Understand cloud-native architecture concepts and have knowledge of best practices for high availability, scalability, resilience, performance, and security requirements in the cloud
Act as a cross-functional product and technical expert for GenAI within engineering with close working relationships with customers, product management, support, and marketing supporting edge-to-cloud services offering
Provides consultation, design input, and feedback for product development and design reviews across multiple organizations and architectures
Help transition proof-of-concept implementations into R&D teams to accelerate new product delivery
Creates technical content such as designs, specifications, and initial software implementations
Guides and mentors less-experienced staff members to set an example of software systems design and development innovation and excellence, helping to grow engineers into more senior technical roles
Collect product feedback from field interactions to provide input into Engineering and Product Management to influence product roadmap direction
Maintain a high level of knowledge of OpsRamp SaaS product and product road maps, as well as that of the competition and prospective strategic partners

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Ai/ml Engineer

We are looking for an AI/ML Engineer with deep technical expertise and proven le...

Location

Bahrain

Salary:

Not provided

Lobellia

Expiration Date

Until further notice

Requirements

Bachelor’s/master’s in chemical engineering, AI, Machine Learning, or related field
10+ years of hands-on experience in AI/ML, with at least 4 years in a senior or lead role
Proven project delivery experience in industrial or energy sectors, with a preference for oil & gas
Demonstrated knowledge of oil & gas processes (upstream, midstream, downstream), instrumentation, and control systems
Proven Expertise to develop process dynamic simulations using PFDs and P&IDs and trouble shooting
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts
Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques
Strong experience with classical machine learning, deep learning and reinforcement learning projects
Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI

Job Responsibility

Develop dynamic process simulation model to simulate various plant scenarios
Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations
Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations
Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies
Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior
Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems
Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation
Lead project implementation from data ingestion and feature engineering to model deployment and monitoring
Lead and mentor a team of process engineers and machine learning engineers
Review the process model and guide the team to develop plant scenarios in the dynamic simulation model accurately

Fulltime

Senior Business Intelligence Developer

The Wellbeing Collective (WBC) is a strategic Unilever global business unit esta...

Location

United States , Englewood Cliffs

Salary:

103000.00 - 154400.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

Graduate or undergraduate degree in Business, Finance, Analytics, Computer Science or equivalent work experience
5+ years working in an enterprise analytics environment
5+ years working as a Business Intelligence developer creating reports, dashboards, and self-serve data models using a data visualization tool such as Power BI or Tableau
Proven experience driving enterprise reporting projects
Solid background in Power BI, including semantic model design, DAX, and M
Strong foundation in dimensional data modeling
Expert level SQL
Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Knowledge of best practices administering enterprise level BI reporting suites
Strong consultative, facilitation and consensus building skills

Job Responsibility

Develop user-friendly data BI models to facilitate self-serve reporting across multiple business functions, including Finance, Supply Chain, Marketing, and Category Analytics
Partner with other members of the analytics team on creation of a data warehouse presentation layer
Work with business partners to teach them how to leverage semantic models, how to use our supported BI tools, and serve as a thought partner in their analytic work
Assist with BI application administration
Assist with data engineering work as appropriate
In partnership with other analytics team members, define and implement design standards, tools, and best practices to facilitate a robust and scalable analytics platform

What we offer

Bonus eligible
Long-Term Incentive (LTI) eligible
Eligible to participate in benefits plan which can include health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits

Fulltime

Senior Machine Learning Scientist, Multimodal & Relational Foundation Models

As part of our team, you will help to accelerate and optimize our progress in de...

Location

United States , Redwood City; San Diego

Salary:

251700.00 - 330000.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, or a similar quantitative field with 5+ years of relevant work experience in academic or industry settings
Prior experience in developing and implementing novel generative AI models, specifically in multimodal integration, GraphRAG, or relational deep learning
Deep understanding of Machine Learning principles and how they apply to diverse architectures like Transformers, GNNs, and diffusion models
Very strong programming skills in Python and deep learning libraries (e.g., PyTorch, JAX, Hugging Face Transformers/Accelerate)
Proven experience with multi-GPU and distributed training at scale (e.g., DDP, FSDP, DeepSpeed, Megatron, or Ray)
Strong track record of published, peer-reviewed innovative AI/ML research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR)

Job Responsibility

Pre-train and fine-tune large-scale machine learning systems using multimodal biological data, natural language, and structured relational inputs
Architect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs
Develop Relational Foundation Models (RFMs) that enable zero-shot predictive tasks over heterogeneous, multi-table biological datasets
Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes
Gain insights into model performance based on theory, deep research, and the mathematical underpinnings of set-invariant and graph-structured architectures
Apply strong coding experience to model development and deployment, ensuring research prototypes transition into reliable, scalable production systems
Stay up-to-date on the latest developments in deep learning—including native early-fusion and Mixture-of-Experts (MoE) architectures—and apply this knowledge to Altos' research
Mentor junior staff while maintaining a high individual technical contribution to the core research ecosystem and peer-reviewed publications

Fulltime

Expert Consultant, Financial Modeling & Data Analytics Specialist

This role is ideal for professionals with a strong background in financial model...

Location

Germany , Düsseldorf

Salary:

Not provided

Boston Consulting Group

Expiration Date

Until further notice

Requirements

Master’s degree in finance, economics, accounting, engineering, or a related quantitative field
Strong academic foundation in corporate finance, financial accounting, and quantitative analysis
3–4 years of experience in financial modeling, valuation, and analytics within restructuring, transformation, transaction services, or financial advisory environments (e.g., Big 4, consulting, corporate finance or restructuring advisory)
Proven experience in building integrated financial and business planning models, including scenarios and stress tests
Advanced proficiency in Excel-based financial modeling
Experience with data analytics and visualization tools (e.g., Power BI, Tableau)
Working knowledge of VBA, Power Query, Alteryx, SQL, or Python is a strong plus
Openness to learning and applying more advanced planning and modeling platforms (e.g., Anaplan)
Strong curiosity for automation, large-scale data analytics, and GenAI-driven modeling approaches
Structured, detail-oriented, and hypothesis-driven working style

Job Responsibility

Act as an integral member of BCG’s client teams, contributing directly to strategic and operational decisions of international companies
Serve as an embedded modeling and analytics expert within client-facing case teams
Collaborate closely with client counterparts to align on analytical approaches, assumptions, and data inputs
Support case team members and project leaders in shaping decision-relevant analyses and management-ready insights
Help translate complex analyses into clear narratives for senior management, lenders, and other key stakeholders
Design, build, and maintain advanced, integrated financial and business models to support restructuring, turnaround, and transformation cases across industries
Combine financial modeling and financial data analytics to generate deeper insights into performance, liquidity, value drivers, and risk
Develop robust business planning, scenario, stress-testing, and sensitivity frameworks to support high-stakes decision-making
Apply strong corporate finance and accounting principles to ensure models are consistent, auditable, and decision-ready
Leverage modern analytics, automation, and modeling tools to increase speed, quality, and scalability of analyses

Quantitative Analyst- Balance Sheet Management Senior Vice President

The Balance Sheet Mgmt Sr Ld Anlst is a strategic professional who closely follo...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of experience in technical product management, quantitative analysis, or data science within the financial services industry
Expert-level proficiency in Python for data analysis, modeling, and automation
Advanced skills in Tableau for data visualization and dashboard creation
Strong technical foundation with demonstrated experience in rapid prototyping and taking complex analytical products from concept to full deployment
Excellent communication skills
Proven ability to lead and influence cross-functional teams in a complex, agile environment
Substantial experience in product ownership at a senior level
Ability to work independently, manage multiple senior stakeholders, and navigate a fast-paced environment
Bachelor's degree in a quantitative field such as Computer Science, Data Science, Finance, Economics, or Statistics is required
A Master's degree or PhD is highly preferred

Job Responsibility

Own and direct the product strategy, vision, and roadmap for balance sheet management solutions, with a strong emphasis on applied AI and machine learning
Articulate the product strategy and roadmap to stakeholders at all levels
Lead the end-to-end product lifecycle, including the design, prototyping, and deployment of data-driven tools and models
Partner with senior leaders in Finance, Treasury, and Technology to identify business opportunities and translate them into technical requirements and product features
Act as the primary liaison between business stakeholders and technical teams
Mentor product and technical teams, establishing best practices for product management and data science within the group
Uphold stringent risk and control standards, demonstrating sound judgment regarding the firm's reputation and assets

Fulltime

Senior AI Researcher - AV

GM Israel (Herzliya) takes a significant part in introducing sophisticated softw...

Location

Israel , Herzliya

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, Robotics, or a related field (Excellent M.Sc. graduates will be considered)
Over 3 years of research experience in computer vision, machine learning, autonomous perception, or related areas
Strong publication record at top-tier AI/ML conferences and journals
Excellent coding skills and familiarity with modern AI frameworks
Hands-on experience with large-scale training, 3D data, multimodal perception, or foundation models is highly desirable

Job Responsibility

Drive downstream KPI lift for the autonomous driving agent
Participate in AI research projects in the areas of VLMs / world modeling, computer vision, 3D perception, multimodal sensor fusion, and others
Design, build, train, and evaluate foundation models and large-scale deep learning architectures designed for autonomous driving
Collaborate with engineering teams to translate state-of-the-art research into scalable production solutions
Work towards external publications in top-tier conferences / journals
Track emerging trends in your field
Incubate cutting-edge technologies aimed at impacting our L3 autonomous driving technology
Build and maintain collaborations with top universities, research labs, and industry experts

Fulltime

New

Lead Software Engineer

Wells Fargo is seeking a Lead Software Engineer. In this role, you will: Lead co...

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

May 19, 2026

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Strong experience in Core Java, Spring/Spring boot, relational database (preferably Oracle) experience, SQL, Object-Oriented Design (OOD)
Experience in WebServices (Restfull Or SoapUI)
4+ years of UNIX, Kafka, MQ and JSON experience
3+ years of experience in microservices development
4+ years of working in CI/CD pipeline and automated unit test cases
Strong knowledge of corporate investment banking domain
Excellent verbal, written, and interpersonal communication skills
Lead complex initiatives on selected domains
Ensure systems are monitored to increase operational efficiency and managed to mitigate risk

Job Responsibility

Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor
Design and develop Security Operations platform components supporting wholesale securities processing requirements and requires very strong technical knowledge of Java and a solid foundation of server design methodologies
Must be able to write highly functional and performance code in a structured manner
Design, develop and support wholesale securities processing platform capabilities, functions and processes

Fulltime

Senior Expert for Industry Foundation Models

BMW

Location:
Germany , Munich

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 03, 2026

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