Senior Databricks ML & AI Engineer Job at Myticas Consulting

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems
Expert level Python
Experience with PyTorch, Terraform, Terragrunt, Docker, Kubernetes, GitHub Actions, Datadog
Experience with Databricks AI Stack: MLflow, Mosaic AI, Unity Catalog, Feature Store, Databricks Model Serving, Vector Databases

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover: validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family

Fulltime

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover, validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Senior AI Engineer

As a leader in cybersecurity, Rapid7 is expanding our global AI footprint and is...

Location

United Kingdom , Belfast

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

Proven expertise in building and deploying AI systems in production using Python and modern ML frameworks
Hands-on experience with tools such as: scikit-learn, PyTorch, or TensorFlow for model development
AWS Bedrock, Sagemaker, HuggingFace, or equivalent cloud AI stacks
CrewAI or other orchestration frameworks for agentic AI systems
Pandas, NumPy, Airflow, or Databricks for data engineering and workflow automation
Understanding of model lifecycle management, including monitoring, retraining, and versioning
Ability to evaluate trade-offs between model performance, latency, and interpretability
Strong written & verbal communication with the ability to convey complex ideas clearly to both technical and non-technical audiences

Job Responsibility

Develop and ship high-quality AI systems that deliver measurable customer value
Lead the technical implementation of specific AI projects, from prototyping through deployment
Collaborate closely with product, data science, and platform teams to design, build, and ship AI-powered features that deliver measurable customer and business value
Contribute to the development of best practices for model experimentation, evaluation, and observability
Mentor and support team members in areas like architecture, model design, and debugging
Maintain awareness of emerging AI methods relevant to cybersecurity and share learnings internally

Fulltime

ML Engineer Senior - GenAI Solutions

As a Senior Machine Learning Engineer at NTT DATA, you will work alongside exper...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

At least 5 years of production experience working in Data Science or Software Engineering
Deep knowledge of math, probability, statistics and algorithms
At least 6/12 months of experience in Generative AI deployment and underlying architecture handling
Vector Database knowledge is well appreciated
Understanding of data structures, data modeling and software architecture
Fluent in a at least two mainstream programming language (Python, Scala, Java, C++)
Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers
Strong knowledge of Spark, Databricks is a strong plus
Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus
Deep knowledge with machine learning frameworks (such as Keras or PyTorch)

Job Responsibility

Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on-premise GenAI architectures and MLOps
Leverage a strong mathematical background
Work on classification, information retrieval, clustering and optimization problems
Establish scalable, efficient and automated processes for large-scale data analysis
Contribute to model development, model validation and model implementation
Identify business opportunities
Design and create new data pipelines from scratch, from experiments to production deployment
Manage multiple projects
Lead ML Engineers
Connect with stakeholders

Fulltime

AI Engineer Senior Advisor

NTT DATA is a $30 billion business and technology services leader, serving 75% o...

Location

Mexico , Guadalajara

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
2-4 years of professional experience in machine learning or data engineering roles
Solid understanding of machine learning algorithms and experience applying them to real-world problems
Proficiency in Python and SQL
experience with PySpark or similar big data tools is a plus
Familiarity with machine learning frameworks such as TensorFlow or PyTorch
Experience with cloud platforms and ML tools like AWS Sagemaker or Databricks preferred but not required
Ability to work collaboratively in a team and communicate technical concepts clearly

Job Responsibility

Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives
Collaborate with data scientists and engineers to translate business requirements into technical solutions
Write clean, maintainable, and production-quality code primarily in Python, PySpark, and SQL
Assist in building and maintaining data pipelines and workflows using Spark, Airflow, or similar tools
Participate in model validation, testing, and deployment processes
Communicate findings and model insights effectively to both technical and non-technical stakeholders
Work in an agile environment alongside product managers, data scientists, and engineers to deliver data-driven products

Fulltime

Senior AI Engineer

Location

Australia , South Bank

Salary:

Not provided

Flight Centre Brand

Expiration Date

Until further notice

Requirements

Tertiary qualifications in Computer Science, Software Engineering, Data Science or a related field or equivalent practical experience
Proven experience deploying and operating production-grade agentic AI systems, LLM-powered applications, or ML pipelines with commercial impact
Strong Python programming skills and deep knowledge of modern AI/ML frameworks (e.g. LangGraph, LlamaIndex, PyTorch, scikitlearn)
Solid understanding of classical machine learning, including supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), and time-series forecasting, with hands-on experience taking models to production
Strong experience with Azure cloud services (Azure ML, Azure DevOps, Azure Container Services, Azure Function Apps) and Databricks

Job Responsibility

Lead the design, development, and productionisation of agentic AI workflows, LLM-powered applications, and multi-agent systems
Productionise classical ML models (e.g. classification, regression, time-series forecasting), ensuring they meet production-grade standards for reliability, monitoring, and retraining
Own and evolve end-to-end MLOps and LLMOps pipelines including CI/CD, model registry, drift detection, retraining, and automated evaluation
Build and maintain scalable ML infrastructure on Azure and Databricks including feature engineering pipelines and data platform integrations
Architect and build AI agent workflows, endpoints, gateways, and orchestration layers enabling secure tool usage, structured reasoning, and multi-agent collaboration
Deploy and optimise AI workloads on Kubernetes and cloud-native Azure environments
Define and enforce engineering quality standards through code reviews, design reviews, and technical documentation

What we offer

Individualised Learning & Development pathway options
Access to 'LinkedIn Learning' for ongoing skills development: over 24,500 courses in over 20 languages
Exclusive Staff Discounts: Accessible via our employee-only portal with 350+ of Australia’s leading retailers, health and wellness discounts, financial planning advice, employee share plan and more
Travel Discounts: Including family and friends - flights, hotels, tours, cruises, travel insurance and more
Brightness of Future: Career opportunities in a network of brands and businesses across the globe - we promote from within
Corporate Health Discounts: Access exclusive discounts on health insurance plans for you and your family with our partner, BUPA, access to internal gym
Mental Health: Support and Employee Assistance Program for staff and family
Social: Regular awards nights, social team-building and industry events, with the opportunity to attend global conferences (Bangkok in 2026)
Giving Back: Corporate Social Responsibility program supporting nominated charities through Workplace Giving, volunteering and fundraising
paid parental and volunteer leave

Fulltime

Senior AI Engineer

Senior AI Engineer – (Manager) BIP xTech. Role Purpose: As a Senior AI Engineer,...

Location

United Kingdom , London

Salary:

Not provided

Business Integration Partners

Expiration Date

Until further notice

Requirements

3+ years’ experience delivering AI and ML solutions in production environments
Demonstrated experience delivering GenAI and LLM-based solutions from prototype through to production
Strong Python engineering skills, with a focus on quality, testing, and maintainability
Solid foundations in machine learning concepts, evaluation techniques, and statistical fundamentals
Experience working with Databricks and one or more major cloud platforms (Azure, AWS, or GCP)
Strong understanding of security-by-design, including access control, secrets management, and secure networking
Ability to align AI solutions with governance, compliance, and Responsible AI requirements
Proven experience leading delivery and coordinating multidisciplinary engineering teams

Job Responsibility

Design, develop, and deploy production-grade AI and ML solutions, including GenAI and LLM-enabled systems
Shape AI solution architectures, selecting appropriate patterns (e.g. batch vs streaming, RAG, feature stores, model serving)
Lead AI/ML workstreams end-to-end, including planning, delivery governance, and stakeholder management
Mentor and support AI engineers, data scientists, and software engineers, fostering high engineering standards and collaboration
Implement secure, scalable deployment patterns aligned with governance, compliance, and Responsible AI expectations
Embed monitoring, evaluation, and continuous improvement across AI solutions
Collaborate closely with Data Engineers, Cloud/Data Architects, and Software Engineers to deliver coherent platforms
Contribute to pre-sales, discovery, and proposal development by shaping solution options and delivery approaches
Build strong relationships with clients and partners, acting as a trusted technical advisor

What we offer

Hybrid working
Opportunity to work at the forefront of applied AI delivery within a growing Centre of Excellence
A culture that encourages innovation, collaboration, and ownership

Fulltime

Senior AI & Data Engineer

The Senior AI & Data Engineer is an individual contributor role that acts as the...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, Mathematics, or a related technical discipline
PhD is a plus
7 – 10 years of hands-on experience in AI/ML engineering, applied data science, or LLM engineering roles
Proven track record of delivering production AI systems
Deep expertise with at least two major LLM platforms (Claude, GPT, Gemini, or equivalent)
Significant experience with Collibra or an equivalent enterprise data governance platform
Demonstrated experience leading cross-functional AI initiatives and mentoring junior engineers
Strong ML fundamentals alongside modern generative AI skills
Experience with responsible AI practices, including fairness auditing, explainability, and content safety, is strongly preferred

Job Responsibility

Serve as the dual AI & data SME for the team and organization
Define and uphold engineering standards, design patterns, and best practices across both AI and data engineering disciplines
Lead technical discovery for new AI and data use cases
Participate in and lead cross-functional initiatives where AI and data strategy intersect
Mentor and upskill the Applied AI Engineer and AI Data Engineer
Architect and deliver complex agentic AI systems
Design and implement advanced RAG architectures
Lead LLM evaluation frameworks
Assess and implement LLM fine-tuning and alignment strategies
Own LLM integration architecture

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

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Senior Databricks ML & AI Engineer

Requirements

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