CrawlJobs Logo

Senior MLOps / LLMOps Engineer

immoscout24.de Logo

ImmoScout24 GmbH

Location Icon

Location:
Germany , Berlin

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Responsibility:

  • Design and maintain scalable ML/LLM infrastructure and pipelines
  • Productionize traditional ML and generative AI solutions with cross-functional product teams
  • Own the ML/LLMOps lifecycle: prompting, deployment, monitoring, evaluation and optimization
  • Build and evolve an LLM Gateway service to standardize access, routing, and governance
  • Develop evaluation frameworks to measure quality, performance, and reliability of LLM outputs
  • Design and implement MCP-compatible services to enable standardized context exchange between LLMs, tools, and data sources
  • Integrate MCP into internal platforms to support tool use, retrieval, and agent-based workflows across teams
  • Work with AWS and integrate self-hosted open-source AI models for scalable, secure applications
  • Ensure observability, cost efficiency, and system performance
  • Contribute to project management, stakeholder communication and cross-team collaboration

Requirements:

  • Strong experience in MLOps (CI/CD, Docker, Kubernetes) and operating production-grade systems
  • Proficiency in Python and solid software engineering and scalable system design skills
  • Hands-on experience with LLMs and generative AI technologies (e.g. GPT, Gemini or Anthropic-like models)
  • Expertise in prompt engineering, agent orchestration, context management, and output validation
  • Experience with LLM evaluation frameworks and deploying self-hosted LLMs
  • Familiarity with cloud platforms (e.g. AWS, GCP) as well as DevOps, testing, and observability practices
  • Strong communication skills and ability to collaborate with cross-functional teams and stakeholders
What we offer:
  • A competitive salary package and a bonus on top
  • Hybrid work model with three days of on-site work per week in the office
  • 30 days of vacation per year
  • Possibility to work from abroad for 10 days per year
  • Relocation agency support with visa process and attractive relocation package
  • Plus membership for tenants on ImmoScout24
  • Dedicated learning time per month, online courses on ScoutAcademy, regular book challenges, structured feedback, Lunch & Learn events and individual career paths
  • Professional family service for childcare
  • Bring your dog to work (upon approval)
  • Subsidized public transport or Job Bikes
  • Company pension scheme with subsidy
  • Most innovative office in Berlin with gym, napping room, rooftop terrace, organic coffee, cafeteria, 100% green electricity and massage therapist
  • Life Situation Coaching, regular health check ups
  • Latest technical tools and hardware

Additional Information:

Job Posted:
May 14, 2026

Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior MLOps / LLMOps Engineer

Senior LLMOps Engineer

Working closely with our Engineering Manager, you’ll be a Senior LLMOps Engineer...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
heidihealth.com Logo
Heidi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven track record of designing, building, and maintaining MLOps or LLMOps infrastructure in a production environment
  • Previous hands-on experience building scalable, cloud-native infrastructure and platforms
  • Deployed and managed large-scale machine learning models in a production environment
  • Expert in Python, cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform, CloudFormation)
  • Deep and practical understanding of the entire machine learning lifecycle and the specific operational challenges of large language models
  • Ability to translate complex engineering and research requirements into concrete, robust, and automated platform solutions
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Job Responsibility
Job Responsibility
  • Lead the architecture, design, and implementation of our end-to-end LLMOps platform, from data ingestion and model training pipelines to production deployment and monitoring
  • Build and maintain robust CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines to automate the testing, validation, and deployment of large language models
  • Engineer highly available and scalable model serving solutions using modern infrastructure like Kubernetes, ensuring low latency and high throughput for our production services
  • Collaborate closely with AI research and engineering teams to understand their needs, streamline workflows, and create the tooling that accelerates their development cycles
  • Champion and implement best practices for model versioning, experiment tracking, monitoring, and governance across the organization
  • Mentor mid-level and junior engineers, sharing your deep expertise in infrastructure, automation, and operational excellence to foster a culture of reliability and scalability
What we offer
What we offer
  • Flexible hybrid working environment, with 3 days in the office
  • Additional paid day off for your birthday and wellness days
  • Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc
  • A generous personal development budget of $500 per annum
  • Learn from some of the best engineers and creatives, joining a diverse team
  • Become an owner, with shares (equity) in the company
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer (Team Lead)

As our Artificial Intelligence (AI) and Machine Learning (ML) Team Leader, you w...
Location
Location
Australia , South Bank
Salary
Salary:
Not provided
fctgcareers.com Logo
Flight Centre Brand
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years delivering production grade ML or AI systems with proven commercial impact
  • 3+ years Leading and Mentoring engineers
  • Experience building AI agents, RAG systems or LLM powered applications in production
  • Demonstrated experience leading technical teams and managing complex AI programmes
  • Strong hands on experience across ML infrastructure, distributed systems and scalable AI architecture
  • Experience building and governing AI agent platforms including endpoints, gateways and tool orchestration
  • Familiarity with MCP servers and emerging agent communication standards and protocols
  • Experience defining evaluation frameworks, safety mechanisms and governance for LLM and agent based systems
  • Deep knowledge of Python, modern AI/ML frameworks and scalable AI platforms including Databricks
  • Strong expertise in Kubernetes and cloud native production environments
Job Responsibility
Job Responsibility
  • Lead the development and productionisation of ML models, LLM powered systems and agent based applications
  • Define and build end to end MLOps including CI CD, model registry, monitoring, drift detection and retraining for predictive ML systems
  • Establish LLMOps standards including context engineering, automated evaluation pipelines, red teaming, safeguards and policy guardrails
  • Architect and build AI agent workflows, endpoints, gateways and orchestration layers enabling secure tool access, structured reasoning and multi agent collaboration
  • Design and govern MCP servers and modern agent communication protocols to ensure interoperability, security and scalability
  • Implement strong observability across ML and GenAI systems including reliability, latency, evaluation metrics, usage tracking and cost control
  • Drive scalable ML infrastructure, feature stores and data platforms on Databricks
  • Oversee Kubernetes based deployments and cloud native AI infrastructure
  • Partner with senior stakeholders to prioritise and deliver multiple high impact AI initiatives
  • Coach and grow a high performing AI engineering team
What we offer
What we offer
  • Individualised, ongoing Learning & Development via communities of practice
  • Innovation Days
  • Dedicated Engineering Days
  • Access to 'LinkedIn Learning' for ongoing skills development
  • Women in PM&E group
  • Exclusive Staff Discounts
  • Travel Discounts
  • Career opportunities in a network of brands and businesses across the globe
  • Corporate Health Discounts
  • Mental Health Support and Employee Assistance Program for staff and family
  • Fulltime
Read More
Arrow Right

Senior / Lead AI Engineer

Omio is building the future of travel. We’re moving from manual, rule-based syst...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
foodlabs.com Logo
FoodLabs & Atlantic Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 10+ years of experience in software engineering, developing complex models and algorithms
  • Proven track record in designing, implementing, and deploying production-grade AI solutions at scale
  • Strong communication and presentation skills, with the ability to influence and collaborate effectively with non-technical stakeholders
  • Self-motivated and capable of working independently, driving initiatives with minimal supervision
  • Prior experience deploying scalable AI and LLM-based solutions for real-time, high-performance systems is highly desirable
  • Experience with diverse model evaluation techniques (quantitative and qualitative) and an iterative approach to improving AI system performance and user outcomes
  • Expertise in building AI applications using large language models such as OpenAI, Claude, Gemini, LLaMA
  • Experience with LLM orchestration frameworks like LangChain, LangGraph, vLLM, LMDeploy
  • Strong programming skills in Java, Python, and SQL
  • Familiarity with data preprocessing, feature engineering, model evaluation, MLOps, and LLMOps best practices
Job Responsibility
Job Responsibility
  • Develop AI solutions leveraging LLMs to improve productivity and deliver strong business impact
  • Lead the end-to-end development lifecycle from ideation to deployment of AI-powered solutions across various domains
  • Build scalable AI systems that support Omio’s global expansion goals
  • Act as an evangelist for AI adoption by demonstrating clear value to stakeholders
  • Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and drive adoption
  • Present models, results, and systems to both technical and non-technical audiences, including C-level stakeholders
  • Fulltime
Read More
Arrow Right

Senior Lead AI Engineer

Omio is building the future of travel. We’re moving from manual, rule-based syst...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
foodlabs.com Logo
FoodLabs & Atlantic Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 10+ years of experience in software engineering, developing complex models and algorithms
  • Proven track record in designing, implementing, and deploying production-grade AI solutions at scale
  • Strong communication and presentation skills, with the ability to influence and collaborate effectively with non-technical stakeholders
  • Self-motivated and capable of working independently, driving initiatives with minimal supervision
  • Prior experience deploying scalable AI and LLM-based solutions for real-time, high-performance systems is highly desirable
  • Experience with diverse model evaluation techniques (quantitative and qualitative) and an iterative approach to improving AI system performance and user outcomes
  • Expertise in building AI applications using large language models such as OpenAI, Claude, Gemini, LLaMA
  • Experience with LLM orchestration frameworks like LangChain, LangGraph, vLLM, LMDeploy
  • Strong programming skills in Java, Python, and SQL
  • Familiarity with data preprocessing, feature engineering, model evaluation, MLOps, and LLMOps best practices
Job Responsibility
Job Responsibility
  • Develop AI solutions leveraging LLMs to improve productivity and deliver strong business impact
  • Lead the end-to-end development lifecycle from ideation to deployment of AI-powered solutions across various domains
  • Build scalable AI systems that support Omio’s global expansion goals
  • Act as an evangelist for AI adoption by demonstrating clear value to stakeholders
  • Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and drive adoption
  • Present models, results, and systems to both technical and non-technical audiences, including C-level stakeholders
  • Fulltime
Read More
Arrow Right

Senior MLOps Engineer

Prolific is not just another player in the AI space – we are the architects of t...
Location
Location
United Kingdom
Salary
Salary:
Not provided
prolific.com Logo
Prolific
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years experience with cloud infrastructure and infrastructure as code
  • Previous experience with the ML and LLM lifecycle - training, hosting, optimisation, observability
  • Used to working closely with researchers and data scientists - taking experiments from worksheets into production
  • Strong grasp of ML fundamentals and modern GenAI stack
Job Responsibility
Job Responsibility
  • Infrastructure & Platform Engineering: Design and maintain scalable cloud environments (GCP/AWS) using Terraform
  • Manage GPU/TPU resource allocation for training, fine-tuning, and interactive notebooks
  • Build internal services and CLI tools to streamline the developer experience for the AI team
  • ML & LLM Orchestration: Design CI/CD/CT (Continuous Training) pipelines using tools such as GitHub Actions, MLFlow, Vertex AI Pipelines
  • Develop reusable patterns for model serving
  • Managing service deployments to Kubernetes
  • Manage and optimize vector databases and embedding pipelines for RAG-based systems
  • Performance & Optimization: Implement techniques to reduce latency and increase throughput
  • Solve scaling bottlenecks for serverless or containerized model deployments
  • Optimize GPU utilization and cloud spend without compromising performance
What we offer
What we offer
  • competitive salary
  • benefits
  • remote working
  • impactful, mission-driven culture
Read More
Arrow Right

Senior AI Engineer

Omio is building the future of travel. We’re moving from manual, rule-based syst...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
foodlabs.com Logo
FoodLabs & Atlantic Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 6+ years of experience in developing complex models and algorithms
  • Proven track record in designing and deploying production-grade AI solutions
  • Strong communication and presentation skills, with the ability to influence non-technical stakeholders
  • Self-motivated, independent contributor capable of driving initiatives with minimal guidance
  • Prior experience deploying scalable AI and LLM-based solutions for real-time, high-performance systems is highly desirable
  • Expertise in building AI applications using large language models such as OpenAI, Claude, Gemini, LLaMA
  • Experience with LLM orchestration frameworks like LangChain, LangGraph, vLLM, LMDeploy
  • Strong programming skills in Java, Python, and SQL
  • Familiarity with data preprocessing, feature engineering, model evaluation, MLOps, and LLMOps best practices
  • Ability to construct Retrieval-Augmented Generation (RAG) systems for advanced AI workflows
Job Responsibility
Job Responsibility
  • Develop AI solutions leveraging LLMs to improve productivity and deliver strong business impact
  • Lead the end-to-end development lifecycle from ideation to deployment of AI-powered solutions across various domains
  • Build scalable AI systems that support Omio’s global expansion goals
  • Act as an evangelist for AI adoption by demonstrating clear value to stakeholders
  • Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and drive adoption
  • Present models, results, and systems to both technical and non-technical audiences, including C-level stakeholders
  • Fulltime
Read More
Arrow Right

Senior Data Scientist – Gen AI Engineer - Assistant Vice President

Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
  • 8–12 years of experience as a Data Scientist or equivalent role, with at least 2 years of specialized, hands-on experience in Generative AI, including leading technical development and mentoring teams.
  • Demonstrable experience across the full lifecycle of production-level GenAI projects — from ideation and prototyping through deployment, monitoring, and ongoing maintenance in live environments.
  • Expert-level Python proficiency
  • Scikit-learn, XGBoost, LightGBM
  • PyTorch
  • Hugging Face Transformers, LangChain, LlamaIndex, Semantic Kernel
  • LangGraph, CrewAI, AutoGen
  • Transformer architectures
  • RAG patterns
Job Responsibility
Job Responsibility
  • Working with financial and enterprise data, applying modern NLP and GenAI techniques to solve business problems.
  • Designing, refining, and systematizing prompt engineering strategies for large language models (LLMs), including structured prompting, chain-of-thought, and few-shot/zero-shot approaches.
  • Collaborating with business stakeholders to translate requirements into GenAI-powered solutions.
  • Developing, testing, and maintaining production-grade Python code for GenAI applications.
  • Integrating with vector databases (e.g., Pinecone, Weaviate, Milvus, pgvector, Qdrant) for retrieval-augmented generation (RAG) pipelines.
  • Building, monitoring, and optimizing MLOps/LLMOps pipelines for continuous model deployment and observability.
  • Researching and evaluating emerging GenAI technologies, frameworks, and best practices to maintain competitive advantage.
  • Troubleshooting and debugging GenAI models and agentic systems in production, including rapid identification and resolution of issues in real-world deployments.
  • Communicating complex AI/ML concepts clearly to non-technical stakeholders, translating technical jargon into actionable business terms.
  • Participating in and leading team meetings, design reviews, and architecture discussions.
  • Fulltime
Read More
Arrow Right

Senior Engineer, Machine Learning Engineering

Mastercard’s Business & Market Insights (B&MI) group empowers organizations to a...
Location
Location
India , Pune
Salary
Salary:
Not provided
mastercard.com Logo
Mastercard
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s/bachelor’s degree in computer science or engineering
  • Considerable work experience with a proven track-record of successfully leading and managing complex projects/products and delivering to aggressive market needs
  • Expert-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions
  • Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems
  • Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks
  • Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar
  • Strong programming skills in languages such as Python/SQL is a must
  • Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus
Job Responsibility
Job Responsibility
  • Implement multi-agent intelligence frameworks (LangGraph, CrewAI, AutoGen) to enable reasoning, coordination, and adaptive decision-making across specialized AI agents
  • Design and operationalize multi-modal AI pipelines combining text, image, tabular, and graph data using transformer-based architectures (BERT, CLIP, LLaVA, T5, Whisper, etc.) for unified intelligence
  • Build scalable RAG and Graph-RAG systems integrating vector stores and knowledge graphs (Neo4j, AWS Neptune) to enable contextual retrieval, semantic linking, and entity-aware reasoning
  • Develop and productionize transformer-based models for NLP, vision-language understanding, and sequential prediction tasks leveraging Hugging Face, PyTorch, and TensorFlow ecosystems
  • Implement advanced Python-based backend services for inference orchestration, async job handling, and distributed data workflows supporting high-throughput AI operations
  • Establish end-to-end LLMOps and MLOps pipelines on Databricks (AWS) integrating MLflow, feature stores, model lineage, prompt evaluation, and continuous retraining frameworks
  • Apply traditional AI/ML and statistical modeling techniques (regression, clustering, forecasting, ensemble methods) alongside deep learning models for hybrid interpretability and explainability
  • Engineer state and memory management subsystems that preserve context, track embeddings, and enable agents to reason temporally across multiple modalities and interactions
  • Implement Responsible AI practices—bias detection, explainability dashboards, data ethics checks, and performance governance ensuring fairness and transparency of deployed models
  • Continuously research, benchmark, and productionize innovations in multimodal transformers, generative modeling, and agentic orchestration to drive enterprise-scale intelligence and automation
  • Fulltime
Read More
Arrow Right