Environment Modeller Job at Weta Digital (Melbourne)

Avp ml and genai model validation

Embark on a transformative journey as an AVP ML and GenAI Model Validation at Ba...

Location

India , Noida

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Highly numerate, evidenced by an Honours degree, master’s, or PhD (or equivalent) in a quantitative discipline such as Computer Science, Mathematics, Physics, Operational Research, Economics, Engineering, or Finance
Experience developing, validating, or independently reviewing best‑in‑class tools and AI/ML models for large financial institutions or comparable regulated environments, with the ability to effectively challenge and improve model methodologies and model management processes
Strong analytical and technical expertise in AI/ML modelling, including experience with ML algorithms (e.g., XGBoost, LightGBM, Random Forest), NLP models, and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
Experience developing or validating AI/ML models on large datasets in Hadoop/AWS environments
Designed, fine‑tuned, and shipped Generative AI models - transformer‑based LLMs, RAG systems for grounded retrieval, and GANs-using PyTorch/TensorFlow and Hugging Face, including prompt engineering, RLHF, and rigorous evaluation of GenAI models
Hands‑on experience with Generative AI technologies, including Large Language Models, Transformers, retrieval‑augmented generation (RAG), and prompt‑based systems
familiarity with LangChain and LangGraph
Experience designing, developing, validating, or reviewing agent‑based AI architectures, including multi‑agent orchestration, task planning, memory management, and safeguard mechanisms
Sound understanding of financial services regulatory expectations and model risk guidance (e.g., SR 11‑7, SS1/23, IFRS 9, EU AI Act etc.)
Strong communication and influencing skills, with the ability to produce high‑quality written material for both technical and senior non‑technical audiences

Job Responsibility

Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models
Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses
Assessment of any compensating controls used to mitigate Model risk
Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement
Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning
Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty

What we offer

Hybrid working
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Fulltime

Technical Program Manager - Pre-silicon Team

We are seeking a Technical Program Manager to coordinate the development and qua...

Location

United States , Austin

Salary:

171200.00 - 256800.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Use of AI tools for planning, development and debug
Familiarity with pre-silicon methodologies, software modeling, emulation, and hybrid modeling environments
Program Management experience with software development and release lifecycle
Skilled in collaboration tools: Confluence, JIRA and MS Office suite (Excel, PowerPoint, Project)
Knowledge of x86 platform architecture and debug
Excellent communication, management, and presentation skills
Adept at collaboration among top-thinkers and senior architects with strong interpersonal skills to work across teams in different geographies
Bachelor’s or Master’s degree in related discipline preferred

Job Responsibility

Define, plan, and drive SimNow development and model qualification involving multi-component environments (AMD IPs, SoCs, HW, SW, FW)
Comprehend the SOC as a complete system which includes HW (Silicon), FW, BIOS & SW and ensure that SimNow models are aligned to enable pre-silicon feature enablement plans
Develop and improve processes for project tracking and risk mitigation
Track and report status vs. objectives throughout the lifecycle
Liaison between teams to implement latest methodology and shift-left initiatives
Communicate progress and conduct regular reviews with AMD senior management and customers
Raise red flags proactively when risks emerge and partner with technical teams to resolve issues
Drive resource planning for development, qualification, and support
Manage dependencies with design teams for SimNow model development
Craft, lead, and continually improve program-level processes and methodologies

Fulltime

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Senior Principal Machine Learning Engineer - LLM Post-Training and Optimization

Atlassian is seeking a highly skilled and experienced Senior Principle Machine L...

Location

United States , Mountain View

Salary:

243100.00 - 407200.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Ph.D. or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
8+ years of experience in machine learning, with a focus on large-scale model development and optimization
Deep expertise in LLM and transformer architectures (e.g., GPT, BERT, T5)
Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow
Experience with distributed training techniques and large-scale data processing pipelines
Proven track record of deploying machine learning models in production environments
Familiarity with model optimization techniques, including quantization, pruning, and knowledge distillation
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
Excellent communication skills and ability to translate technical concepts for diverse audiences

Job Responsibility

Lead the fine-tuning and post-training optimization of large language models (LLMs) for diverse applications
Develop and implement techniques for model compression, quantization, pruning, and knowledge distillation to optimize performance and reduce computational costs
Conduct research on advanced techniques in transfer learning, reinforcement learning, and prompt engineering for LLMs
Design and execute rigorous benchmarking and evaluation frameworks to assess model performance across multiple dimensions
Collaborate with infrastructure teams to optimize LLM deployment pipelines, ensuring scalability and efficiency in production environments
Stay at the forefront of advancements in LLM technologies, sharing insights, driving innovation within the team, and leading agile development
Mentoring other team members, facilitating within/across team workshops, fostering a culture of technical excellence and continuous learning

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at Aignostics, you will play a crucial role...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Advanced degree in a relevant field or extensive work experience
8+ years of industry experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive systems and software architecture, design patterns and clean coding
Expert Python programming and fluency in C/C++ or other low-level language(s)
Experience with designing and implementing large-scale, distributed ML systems and platforms
Proven track record of deploying ML models into production environments
Strong knowledge of machine learning fundamentals
Experience with deep learning frameworks (e.g. Pytorch and Tensorflow) and state-of-the-art techniques (e.g. generative models)
Deep understanding of cloud technologies (e.g. GCP, AWS), containerization and orchestration (Kubernetes)

Job Responsibility

Define and drive the technical architecture and system design principles for our AI platform and infrastructure
Work in close collaboration with engineering leads to build flexible frameworks and systems for model training, evaluation and inference across different pathology applications
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision
Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value

What we offer

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment

Data Scientist

We are seeking an innovative and experienced Data Scientist specialising in Larg...

Location

Netherlands , Nieuwegein

Salary:

3000.00 - 6000.00 EUR / Month

Sopra Steria

Expiration Date

Until further notice

Requirements

Master's degree (or equivalent experience) in a data-driven field such as Computer Science, Statistics, Artificial Intelligence, or a related discipline
Minimum of 3-4 years of hands-on experience in machine learning, with a strong focus on NLP and LLMs
Proven track record of implementing machine learning models in production environments
Advanced proficiency in Python and experience writing production-ready code
Extensive knowledge of LLMs and embeddings (e.g., GPT, BERT) and their applications
Familiarity with deep learning frameworks such as TensorFlow or PyTorch
Experience with NLP-specific tools and libraries (e.g., LangChain, HuggingFace, spaCy)
Proficiency in working with containerisation and orchestration tools (e.g., Docker, Helm, Kubernetes)
Strong understanding of CI/CD practices and version control systems (e.g., Git)
Demonstrated ability to preprocess data and engineer features for NLP tasks

Job Responsibility

Design, develop, and implement advanced machine learning models, with a focus on LLMs and NLP applications
Collaborate with cross-functional teams to identify and solve complex business problems using data-driven approaches
Conduct research on state-of-the-art LLM techniques and contribute to the development of novel algorithms
Preprocess and engineer features from large-scale textual datasets for NLP tasks
Optimise and deploy machine learning models in production environments
Mentor junior team members and provide technical guidance on NLP and LLM projects
Stay abreast of the latest developments in LLMs and GenAI, sharing insights with the team and clients
Contribute to the continuous improvement of our data science processes and methodologies

What we offer

A permanent contract and a gross monthly salary
8% holiday allowance
A generous mobility budget, including options such as an electric lease car with an NS Business Card, a lease bike, or alternative transportation that best suits your travel needs
8% profit sharing on target (or a fixed OTB amount, depending on the role)
27 paid vacation days
A flex benefits budget of €1,800 per year, plus an additional percentage of your salary
A home office setup with a laptop, phone, and a monthly internet allowance
Hybrid working: from home or at the office, depending on what works best for you
Development opportunities through training, knowledge-sharing sessions, and inspiring (networking) events
Social activities with colleagues — from casual drinks to sports and content-driven outings

Fulltime

Regional Medical Advisor Manager - Migraine

Maximize the value of Pfizer products to Chinese patients and health care profes...

Location

China , Beijing

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Master degree major in clinical medicine, Medical doctoral degree or PHD in medical is preferred
Master of Business Administration is a plus
3 years clinical practice in Tier 3 hospitals (corresponding specialty is preferred)
MD or PHD with 3+ years medical affairs experience in multinational pharmaceutical companies experience, or Master with 5+ years’ experience
Therapeutic area knowledge: familiar with the disease knowledge and clinical practice of the therapeutic area
Language: Proficiency in oral and written English
Good understanding about pharmaceutical business
In-depth Clinical trial knowledge
Computer: Good at Microsoft Office software
Strong business acumen with farsighted view

Job Responsibility

Maximize the value of Pfizer products to Chinese patients and health care professional within Pfizer’s vision and mission
Responsible for promoting strategic collaboration and implementation of regional medical affairs with the government, academic associates and medical institutions and exploring innovative chronic disease management models in the new environment, graded diagnosis and treatment models, efficient doctor education models, and patient-centered disease management models
Develop promoting strategy from field based medical perspective to maximize products and medical value and long term development
Develop effective medical plan for the defined portfolio therapeutic area(s) aligning with products development strategy, maximize the value of field based medical and ensure its timely execution
Identify medical opportunity in collaboration with government, academic associations and medical institutions for business initiative and decisions
Exploring innovative chronic disease management models, diagnosis and treatment models to adapt to new environments and challenges
Develop and execute publication plan, provide input to the publication plan, provide ideas for generating manuscripts of scientific interest, and actively review manuscripts and abstracts to ensure medical and scientific accuracy
Work with BU sale leaders on portfolio therapeutic strategies and key issues resolution from medical point of view
Synergy available resources internally and externally to promote the development and execution of field based medical team
Develop sale team medical capability through medical training ,lecture delivery and medical knowledge update through various channel

Fulltime

Mbse Modeler

QTEC Aerospace is seeking a MBSE MODELER to join our team of professionals in Hu...

Location

United States , Huntsville

Salary:

Not provided

QTEC Aerospace

Expiration Date

Until further notice

Requirements

Bachelor's degree in a STEM field such as Computer Science, Systems Engineering, Mathematics, Physics, or a related area from an accredited university with at least 8 years of experience
or a Master's degree in a STEM-related field with at least 6 years of relevant experience
or a PhD in a related field with at least 4 years of relevant experience
Must have at least 4 years of experience building digital architecture models
Experience connecting architecture models with Dynamic Object-Oriented Requirements (DOORS)-managed requirements
Proven experience in developing and adjusting all viewpoints within the DoDAF 2.0 modeling framework
Experience as an architecture model developer creating model artifacts aligned with SysMOD and OOSEM methodologies
Developing modeling using the DoDAF 2.0 modeling framework within the CAMEO development environment
Proficient understanding of MBSE standards to guide model development
Working knowledge of DOORS for requirement management and experience linking requirements to the architecture model

Job Responsibility

Will support the development of architecture models, manage model configuration, and serve as a key contact for integration with other modeling teams and environments outside of the program (e.g., models provided or developed by other missile defense partner organizations)
Mentor junior systems engineering team members to enhance their skills within the department
Work will be directed by the Digital Engineering Team (DET) Lead and DET Architecture Model Lead
Coordinate with other technical leads, product owners, Program management, and government customers to ensure high-quality products are delivered on time and within resource limits
Review technical content and serve as a technical liaison with MDA counterparts as necessary
Will actively participate in Agile development activities, such as iteration planning and status updates

Fulltime

Environment Modeller

Weta Digital

Location:
Australia , Melbourne

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 12, 2026

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Job Posted:March 12, 2026

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