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

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 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

Ai-first Core It Software Engineering: Software, Ml & Data

This is a Unified Application for our AI-First IT Transformation portfolio. We r...

Location

United States , Santa Clara

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

3-5+ years of experience in Software Engineering, Data Science, or Machine Learning (Staff level)
6-8+ years (Senior Staff)
8-12+ years (Principal level)
Expert-level server-side development (Python, Java, Go) OR deep expertise in statistical modeling, ML algorithms, and LLM fine-tuning
Direct experience with RAG architectures, LLM APIs, and Vector Databases (e.g., Pinecone, Milvus)
Hands-on experience with Kubernetes, CI/CD, and distributed systems for large-scale AI deployment

Job Responsibility

Lead the hands-on development of core Enterprise IT Business software leveraging AI components and LLM infrastructure with both traditional and Generative AI model deployment
Build and industrialize agentic AI systems and multi-agent frameworks, ensuring secure and effective use of GenAI technologies at the platform level
Design and implement robust foundational data pipelines, perform advanced statistical analysis, and develop new ML models to drive autonomous system behavior
Design large-scale, distributed AI/ML systems optimized for low latency, high throughput, and developer-friendliness (Inference optimization)
Establish evaluation frameworks to measure AI quality (accuracy, hallucination rates) and overall system reliability across the Enterprise AI Factory

Fulltime

Senior Director, AI Business Solutions Leader (Healthcare)

The Senior Director, AI Business Solutions Leader (Healthcare) oversees the team...

Location

United States , Multiple Locations

Salary:

155800.00 - 277200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 10+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
5+ years people management experience, including managing consultant practice managers, technical sales managers, technical architect managers, and/or people managers
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 15+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 12+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
8+ years experience working in a customer-facing role (e.g., internal and/or external)
8+ years experience leading technical projects, teams, or functions
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
8+ years people management experience, including managing consultant practice managers, technical sales managers, technical architect managers, and/or people managers
Health and Life Sciences industry experience

Job Responsibility

Holds team accountable for driving operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking)
Drives team on orchestrating, collaborating, and influencing across Microsoft and customer/partner teams and leadership through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction
Holds team accountable for anticipating and managing business and technical risks, adapting methodology and applying governance principles to identify, communicate, and minimize business and technical risks
Executes work in compliance with industry and Microsoft guidelines and procedures
Oversees continuous prioritization among competing demands in their work and identify where impact occurs with customers, ensuring alignment with business priorities and goals
Drives team on proactively identifying, anticipating, and setting the foundation with the customer/partner for new cross-solution opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation
Defines the need for change management to ensure team members develop thorough understanding of customer's business and operations to advise on potential solutions
Drives team on acting as a role model for strategically consulting with, actively listening to and respectfully challenging customers/partners, building trust to then advocate for alternative architectures/solutions/approaches that shape and/or enhance customer requirements
Oversees team on driving the identification, anticipation, and evaluation of industry trends (e.g., customer industry verticals, information technology [IT] industry), gathering of customer/partner insights (e.g., feedback around technical preferences, environments, business needs, competitive landscape), and mapping of both existing and novel architecture and digital transformation solutions to customer/partner business outcomes
Holds teams accountable for capturing opportunities in appropriate systems, processes, and tools, working collaboratively across the organization to execute on opportunities

Fulltime

Data Governance Foundation Senior Analyst

The Data Governance Foundation role is responsible for leading activities that c...

Location

United States , Getzville

Salary:

125200.00 - 187800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience, Banking or Finance industry preferred in a Data Governance/ Data Management/ Process Engineering or related area
Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Collaborates effectively by building partnerships and working well with others to meet shared objectives
Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the “big picture” while paying close attention to detail
Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them
Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large, financial services firms
Bachelor's/University degree, Master's degree preferred

Job Responsibility

Liaise with partners to lead in establishing, managing and implementing policy adoption plans, compliance metrics, communications and training
Lead business analysis through collection, analysis, review, documentation and communication of business needs and requirements, to understand requirements and aligning these to Data Governance and/or Data Risk and Controls standards to drive appropriate solutions
Contribute to the establishment of Data Governance and/or Data Risk and Controls standards in alignment with Enterprise Chief Data Office, and ensure proper documentation of processes
Support key Data Transformation projects across the organization as Subject Matter Expert in data policies
Lead activities to ensure roles and responsibilities related to data are understood and implemented across businesses
Collaborate with colleagues to ensure timely execution of milestones, provide reporting of potential risks to delivery, and incorporate milestone reporting and changes
Capture requirements, develops delivery plans and manages the entire lifecycle of metrics and report production
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

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Senior Expert for Industry Foundation Models

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