Senior AI Developer (With Python And Machine Learning Knowledge) Job at Randstad (Budapest)

Senior AI and Machine Learning Engineer

Senior AI and Machine Learning Engineer. This role has been designed as ‘Hybrid’...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 9 -10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
Strong foundation in mathematics and statistics
In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Proficiency in using agentic frameworks like langGraph or similar other frameworks
Knowledgeable in lineage tracking of agentic architectures
Knowledge of evaluation of traditional AI/ML and Gen-AI based applications - during development phase and in production

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Provides technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Senior Machine Learning Engineer, AI Platform

The AI Platform team is responsible for building the foundational infrastructure...

Location

United States; Canada

Salary:

139000.00 - 218000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
Strong experience developing in Python for machine learning systems, backend services, or distributed data processing
Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure
Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies)
Hands-on experience working with GPU-based workloads and accelerated computing in production settings
Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment
Ability to independently scope and drive technical initiatives while balancing product and operational priorities
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments
Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence
Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads
Design and manage GPU-based inference and training workloads, including performance tuning, capacity planning, and resource utilization optimization
Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of ML services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable AI-powered features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Senior Machine Learning Engineer, AI Platform

Location

United States; Canada

Salary:

128000.00 - 171000.00 CAD / Year

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
Strong experience developing in Python for machine learning systems, backend services, or distributed data processing
Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure
Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies)
Hands-on experience working with GPU-based workloads and accelerated computing in production settings
Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment
Ability to independently scope and drive technical initiatives while balancing product and operational priorities
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments
Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence
Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads
Design and manage GPU-based inference and training workloads, including performance tuning, capacity planning, and resource utilization optimization
Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of ML services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable AI-powered features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Senior Machine Learning Engineer, Generative AI Products

Lead comprehensive applications/web development for highly complex projects; typ...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired
Minimum of five years’ software development experience with Python and SQL
Minimum of three years’ experience building pipelines to deploy NLP and deep learning models into production in a cloud environment
Minimum three years’ experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools such as NeMo
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems
Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs
Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka

Job Responsibility

Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems
Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA
Establish reusable frameworks to streamline model building, deployment and monitoring
Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms
Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases
Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques
Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications
Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value
Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Senior Machine Learning Scientist (Generative AI)

About Viator: Viator, a Tripadvisor company, is the leading marketplace for trav...

Location

United Kingdom; Poland

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

5+ years of hands-on data science experience
At least 2 years of experience with LLM
Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring
In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
Strong skills in SQL
Strong skills in at least one programming language
Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments
Experience in deploying online solutions and analysing real-time results through A/B testing
Passionate about mentoring junior members of the team
Leadership qualities, autonomy, and team collaboration skills

Job Responsibility

Research, prototype, and productionize generative AI models
Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content
Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs
Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning
Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops
Understanding use cases for Agentic AI communicating your findings with the wider ML team and product
Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs
Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications
Stay up to date with the latest in GenAI research and help shape internal best practices
Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus
“Work your way” with flexibility to suit your lifestyle
Flexible schedule
Donation matching
Tuition assistance
Lifestyle benefit (annual benefit to spend on yourself)
Travel perks
Employee assistance program
Health benefits

Senior Machine Learning Engineer (LLMs, MLOps, Computer Vision & Cloud AI)

We are seeking a highly skilled Senior Machine Learning Engineer to design, deve...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

8+ years of experience in cloud platforms including AWS, Azure, GCP, or OCI
8+ years of experience with DevOps technologies including Docker, Kubernetes, Ansible, and CI/CD automation
Strong experience with SQL databases (PostgreSQL, MySQL) and NoSQL/vector databases
Proficiency in Bash and PowerShell scripting for automation and infrastructure management
Experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD platforms
3+ years of hands-on Python development experience in production environments
3+ years of experience with NLP, LLMs, transformers, prompt engineering, RAG, and AI application development
Experience building and deploying machine learning models serving real-world users
Experience with time-series forecasting, anomaly detection, and predictive analytics
Experience developing recommendation systems and personalization engines

Job Responsibility

Design, develop, deploy, and maintain production-grade machine learning and AI solutions
Build and optimize Large Language Model (LLM) applications using GPT, BERT, T5, Hugging Face, Ollama, and similar technologies
Develop Retrieval-Augmented Generation (RAG) systems, prompt engineering strategies, and fine-tuning workflows
Implement and maintain MLOps pipelines using MLflow, Kubeflow, Airflow, Weights & Biases, or similar tools
Deploy and manage AI workloads across AWS, Azure, GCP, and OCI cloud environments
Design and support scalable infrastructure using Docker, Kubernetes, Ansible, and CI/CD pipelines
Develop machine learning models for forecasting, anomaly detection, predictive analytics, and real-time monitoring
Build recommendation engines, personalization platforms, ranking systems, and collaborative filtering solutions
Develop and deploy computer vision solutions using PyTorch, TensorFlow, OpenCV, YOLO, object detection, and image segmentation techniques
Implement feature engineering strategies and feature stores such as Feast or Tecton

Fulltime

New

Senior Machine Learning Engineer

Location

Greece , Athens

Salary:

60000.00 - 65000.00 EUR / Year

Signify Technology

Expiration Date

Until further notice

Requirements

Proven experience designing, building, and deploying production-grade machine learning solutions
Strong Python development skills
Hands-on experience with Large Language Models (LLMs), LangChain, and Hugging Face Transformers
Experience with deep learning frameworks such as PyTorch
Strong knowledge of machine learning libraries including Scikit-learn and XGBoost
Experience working with NLP frameworks such as spaCy and NLTK
Strong understanding of the end-to-end machine learning lifecycle, including model training, validation, deployment, and monitoring
Experience collaborating across engineering, product, and business teams to deliver AI-driven solutions
Passion for staying current with emerging AI technologies and applying them to real-world business challenges
Strong communication skills with the ability to explain complex technical concepts to a range of stakeholders

Job Responsibility

Design, develop, and deploy advanced AI and machine learning solutions that support strategic business objectives
Lead the research, development, and optimisation of machine learning models for production environments
Build, fine-tune, and evaluate Large Language Models (LLMs) and modern AI applications using tools such as LangChain and Hugging Face
Develop solutions using Python alongside deep learning, machine learning, and natural language processing frameworks
Collaborate with software engineering, data, and product teams to identify opportunities for AI-driven innovation
Research and evaluate emerging AI technologies, ensuring the business remains at the forefront of industry developments
Monitor, maintain, and optimise model performance to ensure reliability and scalability in production
Translate business challenges into practical AI solutions, balancing speed of delivery with technical excellence
Mentor junior engineers and provide technical leadership across AI and machine learning initiatives
Champion best practices for model development, experimentation, deployment, and ongoing optimisation

Fulltime

Select Country

Senior AI Developer (With Python And Machine Learning Knowledge)

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?