Machine Learning / AI Engineer Job at Levy Professionals (Amsterdam)

Machine Learning / AI Engineer

As part of a large-scale platform modernization initiative, the organization is ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Levy Professionals

Expiration Date

Until further notice

Requirements

Proven experience designing and implementing machine learning and AI solutions in a cloud environment
Strong understanding of modern data and ML platform architectures, including serverless compute
Hands-on experience with serverless, integration, and event-driven architectures
Strong programming skills in Python, SQL, and distributed data processing frameworks
Experience with CI/CD, MLOps, and Infrastructure as Code practices
Solid understanding of scalability, cost management, and performance optimization for cloud workloads
Knowledge of security, privacy, and compliance considerations for AI and data solutions
Experience designing and implementing observability, monitoring, and alerting in production environments

Job Responsibility

Designing and assessing serverless compute architectures for AI and data workloads
Building and optimizing scalable serverless data and machine learning environments
Developing and maintaining CI/CD pipelines for AI and data platform components
Ensuring reliability, performance, monitoring, and cost optimization of platform services
Collaborating with data scientists, cloud engineers, and DevOps teams as a technical advisor and subject matter expert
Supporting the operationalization of machine learning models in accordance with enterprise security, governance, and compliance standards

Fulltime

Machine Learning / AI Engineer

As part of a large-scale platform modernization initiative, the organization is ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Levy Professionals

Expiration Date

Until further notice

Requirements

Proven experience designing and implementing machine learning and AI solutions in a cloud environment
Strong understanding of modern data and ML platform architectures, including serverless compute
Hands-on experience with serverless, integration, and event-driven architectures
Strong programming skills in Python, SQL, and distributed data processing frameworks
Experience with CI/CD, MLOps, and Infrastructure as Code practices
Solid understanding of scalability, cost management, and performance optimization for cloud workloads
Knowledge of security, privacy, and compliance considerations for AI and data solutions
Experience designing and implementing observability, monitoring, and alerting in production environments

Job Responsibility

Designing and assessing serverless compute architectures for AI and data workloads
Building and optimizing scalable serverless data and machine learning environments
Developing and maintaining CI/CD pipelines for AI and data platform components
Ensuring reliability, performance, monitoring, and cost optimization of platform services
Collaborating with data scientists, cloud engineers, and DevOps teams as a technical advisor and subject matter expert
Supporting the operationalization of machine learning models in accordance with enterprise security, governance, and compliance standards

Machine Learning Engineer - AI Assistant + Autonomous AI Agents

Glean is looking for senior engineers who will provide expert-level individual c...

Location

United States , San Francisco Bay Area

Salary:

240000.00 - 300000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

2+ years as a Staff Engineer, Principal Engineer, or equivalent
5+ years of industry experience in AI or Machine Learning Engineering
Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning
Proven ability to design, build, and ship production-ready systems
Proficiency in your ML framework of choice
Strong coding skills (Python, Go, Java, C++, ...)
Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features

Job Responsibility

Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
Drive technical strategy and mentor other engineers, raising the technical bar across the team
Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
regular events
healthy lunches daily

Fulltime

Machine Learning Engineer - AI Teams

At Doctolib, we're on a mission to transform the way healthcare is delivered by ...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

Have strong analytical skills, are result oriented and user first
Have between 3/7 years of experience in the domain of Machine Learning / Deep Learning / AI Engineering, including taking models from prototype to production at scale
Have experience in Information Retrieval and modern retrieval stacks, including some of the following: Hybrid search (sparse + dense), Large-scale embeddings and vector databases, Multi-stage retrieval and re-ranking pipelines, RAG architectures and retrieval pipelines on multimodal use cases, Tools and MCP-based integrations to bring in external data and capabilities
Proficient in LLM/VLM application development, including: Fine-tuning LLM and VLM models, Mixture-of-Experts (MoE) architectures (via LiteLLM or Model Garden), Knowledge Distillation, Prompt engineering and tool use, Evaluation and benchmarking of LLM/VLM systems
Have hands-on experience with agentic AI (e.g. building and orchestrating agents on top of ADK)
Have demonstrated strong scientific rigor and benchmarking skills: Designing metrics aligned with product goals, Running controlled end to end experiments with W&B, MLFlow or Braintrust, Analyzing and communicating results to guide product and technical decisions
Have experience with large scale applications in production (monitoring, reliability, performance, observability)

Job Responsibility

Find the right technical solution to solve the product domain goals
Implement your ideas and test them
Deploy your algorithms in production guided by our ML platform team
Measure the uplift and continuously improve your approach

What we offer

Free health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
Lunch voucher with Swile card

Fulltime

Senior Machine Learning Engineer (AI Tools)

We are looking for a Senior Machine Learning Engineer to join our Chat Group, wh...

Location

Poland

Salary:

Not provided

SmartRecruiters

Expiration Date

Until further notice

Requirements

BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience
5+ years of experience developing and deploying machine learning systems in production
Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation
Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face)
Advanced Python programming skills and solid software engineering fundamentals
Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment
Hands-on experience with agentic workflows or building autonomous AI systems is a major plus
Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred
Experience with data quality management, evaluation metrics, or observability in ML systems is a plus
Strong analytical thinking, creativity, and an ownership mindset

Job Responsibility

Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems
Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment
Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design
Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows
Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems
Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact
Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem

Fulltime

Senior Machine Learning Engineer, AI Personalization

Block builds simple, powerful tools that make progress towards an economy that's...

Location

United States , Bay Area, CA

Salary:

194500.00 - 343100.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

10+ years building and operating quality software
Domain expertise in recommender systems, ranking systems, or similar with 5+ years of experience
Led the development of complex models trained on large datasets powering customer facing features
Strong software engineering skills
Strong communication skills and customer empathy
Experience with PyTorch, PySpark, Databricks and AWS is a plus

Job Responsibility

Lead strategic initiatives in AI Personalization, driving the vision, architecture, and execution
Develop and deploy new AI/ML models that power search & recommendations in traditional UX as well as new agentic interfaces
Deploy to production at scale to personalize every user's experience
Be a technical leader and establish quality practices that stick, make broader design decisions and set an example for others to follow
Collaborate with a cross functional team of designers, business partners, and software engineers to build new technologies and features
Design experiments, test them on production users, analyze and repeat

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Senior Research Engineer Machine Learning, AI for Science

At Microsoft Research AI for Science we believe deep learning has the potential ...

Location

Germany , Berlin

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Completed MSc in computer science, machine learning, AI or a related area
Proficiency in collaborative software engineering in Python
Familiarity with Linux and the open-source ecosystem
In-depth understanding of open-source machine learning frameworks such as PyTorch and/or Jax
Experience in designing, developing and deploying ML systems
Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs
Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds

Job Responsibility

Develop and maintain tools, models and technologies for building, training, optimizing and scaling machine learning solutions
Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data
Build and optimize distributed data processing and model building pipelines
Prepare and maintain open-source releases and releases for internal and external beta testers
Work cross-functionally with machine learning researchers, engineers and researchers from the natural sciences
Maintain high standards in code quality and software design
Document and share best practices across the organization

Fulltime

Senior Machine Learning & AI Engineer

Cogniter Technologies is seeking a highly skilled Senior Machine Learning & AI E...

Location

India , Chandigarh

Salary:

Not provided

Cogniter Technologies

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience in Machine Learning and AI development
Strong understanding of ML algorithms, statistics, optimization, and evaluation techniques
Proficiency in Python for data processing, modeling, and API development
Practical experience with PyTorch or TensorFlow
Strong expertise in dataset engineering and feature engineering
Proven experience deploying ML models into production environments
Solid understanding of Docker and backend system integration
Strong analytical thinking and problem-solving skills

Job Responsibility

Design, train, and optimize machine learning and deep learning models for structured and unstructured data
Build end-to-end ML pipelines including data ingestion, preprocessing, feature engineering, training, validation, and testing
Apply supervised, unsupervised, and semi-supervised learning techniques
Evaluate models using metrics such as precision, recall, F1-score, ROC-AUC, and other performance indicators
Perform hyperparameter tuning to improve accuracy, robustness, and generalization
Create, clean, augment, and manage large-scale datasets
Design synthetic or semi-synthetic data pipelines when labeled datasets are limited
Ensure data integrity, quality control, and proper dataset versioning
Collaborate with data teams to build efficient ETL and feature engineering pipelines
Develop and fine-tune deep learning models using PyTorch or TensorFlow

Fulltime

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Machine Learning / AI Engineer

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Machine Learning / AI Engineer

Machine Learning / AI Engineer

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Senior Machine Learning & AI Engineer

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