Data Scientist / Ml Engineer Job at Randstad (Tokyo)

Senior Speech & Audio Biomarkers ML Engineer / Data Scientist / LLM Researcher

Adalyon is transforming clinical trials with a behavioural-intelligence platform...

Location

Finland

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Advanced degree PhD, postdoctoral experience, or equivalent research depth in speech technology, audio signal processing, acoustics, machine learning, data science, computational linguistics, or a related field
Audio and NLP experience – You have built systems that process raw audio and transcripts to derive actionable insights. Familiarity with prosodic and spectral features, and the ability to engineer features like jitter, shimmer and harmonic-to-noise ratio, which have been shown to correlate with cognitive and emotional conditions
Speech processing toolkits: Experience with speech processing toolkits (e.g., librosa, Kaldi, Praat) and ML frameworks (PyTorch, TensorFlow, scikit-learn) is essential
LLM expertise – Hands-on experience with large language models, including prompting, fine-tuning and integrating them into downstream ML pipelines. Ability to interpret and control LLM outputs to ensure transparency and reproducibility, avoiding the unpredictable behaviour of generic LLMs
Startup mindset – Comfortable working in an agile, evolving environment. You take initiative, think creatively and can operate with limited structure. You thrive when delivering an MVP while planning for scalable solutions
Practical programming ability, ideally in Python and relevant scientific/data tooling. You do not need to be a software engineer, but you must be able to build the systems and pipelines needed for your research.

Job Responsibility

Conversational design & data pipeline
Signal processing & feature extraction
Model development & integration
Validation & evidence generation
Research & innovation

What we offer

A competitive salary package that reflects your experience and the value you create
The opportunity to work with advanced AI, acoustic analysis, and speech-based biomarker technology at an early stage
A central and highly influential role with direct access to research and technology leadership
High autonomy, high visibility, and the opportunity to shape the scientific foundation of a growing company
A dynamic and flexible startup environment with room for deep technical discussion, scientific exploration, and practical impact

Fulltime

Senior Data Scientist / ML Engineer

We have a dream: to change industries through the power of digital technology. W...

Location

Bulgaria;Colombia;Croatia;Poland;Portugal;Spain;Ukraine

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related quantitative field
Experience: 5+ years of professional experience in machine learning engineering, AI development, or a closely related role
Machine Learning & Statistics: Solid understanding of classical ML algorithms (e.g., tree-based models, SVMs, clustering, ensemble methods), feature engineering, model evaluation metrics, and statistical methods (hypothesis testing, regression analysis, probability distributions)
LLM Expertise: Demonstrated project experience with large language models, including prompt engineering and prompt management strategies, LLM application development (end-to-end), fine-tuning of large language models, retrieval-augmented generation (RAG) pipeline design and implementation, practical experience with vector stores such as ChromaDB, pgvector, and PostgreSQL
AI Agents: Hands-on experience building AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration frameworks
Programming: Proficiency in Python with a strong emphasis on writing clean, maintainable, production-quality code. Familiarity with software engineering best practices (testing, code review, documentation)
Cloud: Practical experience with Google Cloud Platform (GCP) services for ML workloads (e.g., Vertex AI, Cloud Run, GCS, BigQuery, Compute Engine)
DevOps & MLOps: Docker: Proficiency in containerization — building, managing, and deploying Docker images and containers. GitLab: Proficient GitLab skills for version control, merge request workflows, and repository management
API Development: Experience with FastAPI, including request validation, async handling, and integration with ML model serving
Soft Skills: Excellent communication skills, Strong work ethic and high personal accountability, Ownership mentality — takes full responsibility for deliverables and outcomes, Proactive, self-starting approach to identifying problems and driving project success without waiting for direction

Job Responsibility

Drive/Participate the ideation, development, and execution of POCs and AI related project
Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems
Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products

Fulltime

Lead Data Scientist/ ML Engineer

This role focuses on building advanced machine learning and AI solutions to bett...

Location

United States , Philadelphia

Salary:

80.00 - 90.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

Strong background in data science and machine learning
Hands‑on experience with deep learning, classification, and regression modeling
Advanced Python development experience for data science and ML applications
Experience analyzing customer behavior, churn, pricing, or sales performance data
Proven ability to independently locate, assess, and prepare complex datasets
Experience building models that drive business insights and decision‑making
Strong analytical thinking and problem‑solving skills
Ability to communicate complex technical findings to non‑technical stakeholders

Job Responsibility

Design, build, and evaluate machine learning models using deep learning, classification, and regression techniques
Analyze customer behavior to understand churn drivers, customer lifecycle duration, and relationship development timelines
Develop models using historical customer data including order history, pricing trends, and engagement patterns
Analyze historical price data to identify pricing behavior, trends, and competitive positioning
Build models to assess competitive pricing impacts and identify whether customer loss is driven by price competition
Partner with sales leadership to evaluate sales effectiveness, including developing models to assess sales representative performance and knowledge impact
Perform end‑to‑end data discovery, sourcing, and preparation across multiple systems and datasets
Conduct data mining and exploratory data analysis to uncover patterns and business insights
Develop, test, and maintain production‑ready Python code for data science and machine learning workflows
Collaborate with business stakeholders to translate analytical findings into actionable recommendations

Fulltime

Data Engineer / Data Scientist – MLOps & Machine Learning

Location

United States , Charlotte

Salary:

70.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience as a Data Engineer or Data Scientist in large-scale, cloud-based data environments
Strong experience building or supporting MLOps workflows in Databricks
Hands-on experience with MLflow, including experiment tracking, model registry, and deployment workflows
Strong understanding of machine learning fundamentals and model lifecycle management
Solid data science foundation with understanding of ML theory, mathematics, and statistical concepts
Experience building, training, validating, and deploying machine learning models
Ability to explain model selection decisions and ML approaches clearly
Strong collaboration and communication skills with the ability to work well across cross-functional teams
Strong personality fit and ability to work effectively in team-oriented environments
Willingness to work onsite

Job Responsibility

Design, build, and support scalable machine learning and data workflows in cloud environments
Develop and maintain MLOps pipelines using Databricks and MLflow
Track, manage, and deploy machine learning models across environments
Work closely with data scientists, engineers, and business stakeholders to deliver ML-driven solutions
Analyze large datasets and apply machine learning techniques to solve business problems
Support model monitoring, optimization, and continuous improvement initiatives
Collaborate on architecture, best practices, and scalable ML engineering standards

Data Engineer-Data Scientist – MLOps & Machine Learning

Seeking a highly analytical and hands-on Data Engineer / Data Scientist with str...

Location

United States , Suffolk

Salary:

70.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience as a Data Engineer or Data Scientist in large-scale, cloud-based data environments
Strong experience building or supporting MLOps workflows in Databricks
Hands-on experience with MLflow, including experiment tracking, model registry, and deployment workflows
Strong understanding of machine learning fundamentals and model lifecycle management
Solid data science foundation with understanding of ML theory, mathematics, and statistical concepts
Experience building, training, validating, and deploying machine learning models
Ability to explain model selection decisions and ML approaches clearly
Strong collaboration and communication skills with the ability to work well across cross-functional teams
Strong personality fit and ability to work effectively in team-oriented environments
Willingness to work onsite

Job Responsibility

Design, build, and support scalable machine learning and data workflows in cloud environments
Develop and maintain MLOps pipelines using Databricks and MLflow
Track, manage, and deploy machine learning models across environments
Work closely with data scientists, engineers, and business stakeholders to deliver ML-driven solutions
Analyze large datasets and apply machine learning techniques to solve business problems
Support model monitoring, optimization, and continuous improvement initiatives
Collaborate on architecture, best practices, and scalable ML engineering standards

Fulltime

Data Scientist- ML & AB

As a Senior Data Scientist for Walmart Global Tech, you will play a key role in ...

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

August 07, 2026

Requirements

Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field with 5+ years of experience in data science
Proven experience deploying and managing AI/ML models
Hands-on experience implementing Generative AI-based solutions in production
Experience in scheduling jobs for automated training and inference of AI/ML models using airflow or any other workflow orchestration platform
Strong programming skills in Python and PySpark
Proficiency in SQL, relational databases, data warehouses, and BigQuery
Experience in building AB testing and causal inference solutions
Solid understanding of regression, classification, and unsupervised learning machine learning algorithms
Strong experience in data collection, data cleaning, preprocessing, and feature engineering
Proficiency in collecting data from different data sources, data cleaning, preprocessing, and feature engineering

Job Responsibility

Lead the development of ML and GenAI solutions to solve business problems in retail functions
Collect, validate, and synthesize large-scale datasets to support analytics and model development
Apply big data analytics and data science techniques to identify trends, patterns, and anomalies, and determine additional data requirements
Design, deploy, and maintain production-ready ML systems, including real-time and batch inference pipelines
Collaborate with business stakeholders to communicate insights, influence strategy, and drive data-backed decisions
Own the end-to-end ML lifecycle, including model training, evaluation, deployment, monitoring, and retraining

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

Member of Technical Staff - ML Engineer / Scientist (JP Localization)

At Liquid, we’re not just building AI models—we’re redefining the architecture o...

Location

Japan , Tokyo

Salary:

Not provided

Liquid AI

Expiration Date

Until further notice

Requirements

Deep understanding of the Japanese model evaluation landscape and familiarity with Japanese pre-training data sources
Experience using modeling and inference tools such as Huggingface inference, vLLM, and cloud APIs

Job Responsibility

Identify, collect, and curate diverse high-quality Japanese text, audio, and multimodal datasets
Design methods to synthetically generate or augment Japanese training data when needed
Ensure datasets meet enterprise-grade quality, coverage, and compliance requirements
Train and fine-tune language and vision models to achieve state-of-the-art performance for Japanese enterprise use cases
Adapt existing LFMs for Japanese language, culture, and enterprise-specific workflows
Implement evaluation frameworks to benchmark model quality on Japanese datasets
Design evaluation datasets and metrics for Japanese enterprise applications
Conduct thorough error analysis and iteratively improve model performance
Ensure robustness, fairness, and reliability in Japanese-language outputs

What we offer

Hands-on experience with state-of-the-art technology at a leading AI company
The opportunity to directly shape foundation model performance in one of the world’s most complex and nuanced languages
A collaborative, fast-paced environment where your work drives the next generation of LFMs

Fulltime

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Data Scientist / Ml Engineer

Job Description

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