AI Data Scientist - Senior Job at Robert Bosch Sp. z o.o. (Warsaw)

Senior Forward-Deployed Data Scientist, AI Deployment

Join our Field Data Scientist group of creative technical experts who partner wi...

Location

United States , New York City

Salary:

145800.00 USD / Year

Braze

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
Master’s or PhD in a relevant technical discipline preferred
3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
Experience in customer-facing or consulting roles is strongly preferred
Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
You write well-structured, modular, documented code
follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
and can build scalable, maintainable solutions

Job Responsibility

Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

What we offer

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze

Fulltime

Senior Data Scientist

Senior Data Scientist role in the Technology Enablement Office, playing a pivota...

Location

Greece , Athens

Salary:

Not provided

Metlen Group

Expiration Date

Until further notice

Requirements

5+ years of experience in data science with a strong focus on predictive modeling
Bachelor in Computer Science, Data Science, Statistics, or a related field
Master's or PhD degree is a plus
Proven expertise in designing, deploying, and evaluating machine learning models
Solid background in feature engineering, model selection, hyperparameter tuning, and performance evaluation
Strong programming skills in Python, R, or similar languages
Experience with ML frameworks and understanding of Gen-AI technologies
Hands-on experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch

Job Responsibility

Community Building: Establish and nurture a strong internal data science community across METLEN sectors
Model Evaluation: Assess and validate AI/ML models developed internally or by external vendors
Technology Scouting: Stay updated on the latest AI and Gen-AI advancements and recommend innovative technologies
Cross-functional Collaboration: Partner with business units, IT teams, and external stakeholders to translate complex data challenges into actionable insights
Governance & Best Practices: Contribute to data science standards, model governance frameworks, and responsible AI practices

What we offer

Competitive remuneration package
Ticket Restaurant Card
Group Health Insurance Plan
Preferential household electricity plan
Pension Plan

Fulltime

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in unstructured data ...

Location

Taiwan

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI, Machine Learning, and Data Science, with a strong focus on production-scale AI
Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning techniques
Experience working with OCR, ASR, and TTS applications in real-world deployments
Proven experience deploying AI models in production, with real-world examples of scaled AI applications
Strong understanding of cloud computing, containerization (Docker, Kubernetes), and ML Ops best practices
Proficiency in Python, PyTorch, and ML libraries
Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures
Strong awareness of AI system performance benchmarks (latency, speed, throughput) and ability to optimize models accordingly
Experience working with AI agents, designing real-world intelligent automation solutions beyond just open-source experimentation
Proficiency in transformer-based architectures (BERT, GPT, LLaMA, Whisper, etc.), including pre-training, fine-tuning, and task-specific adaptation

Job Responsibility

Develop and deploy AI models for unstructured data (text, speech, audio, images) with a focus on enterprise-scale performance
Fine-tune, optimize, and deploy LLMs and multimodal models, integrating distributed training, quantization, and pruning techniques for efficiency
Design and implement production-ready AI solutions, ensuring scalability, low-latency inference, and high throughput
Work with AI agents and automation frameworks to create intelligent, real-world AI applications for enterprise clients
Build and maintain end-to-end LLM Ops pipelines, ensuring efficient training, deployment, monitoring, and model updates
Implement vector search and retrieval-augmented generation (RAG) systems for large-scale data solutions
Monitor AI performance using key metrics such as speed, latency, and throughput, continuously refining models for real-world efficiency
Work with cloud-based AI infrastructure (AWS, GCP) and containerized environments (Docker, Kubernetes) to scale AI solutions
Collaborate with engineering, DevOps, and product teams to align AI solutions with business needs and client requirements
Implement data curation pipelines, including data collection, cleaning, deduplication, decontamination, etc. for training high-quality AI models

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in unstructured data ...

Location

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI, Machine Learning, and Data Science, with a strong focus on production-scale AI
Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning techniques
Experience working with OCR, ASR, and TTS applications in real-world deployments
Proven experience deploying AI models in production, with real-world examples of scaled AI applications
Strong understanding of cloud computing, containerization (Docker, Kubernetes), and ML Ops best practices
Proficiency in Python, PyTorch, and ML libraries
Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures
Strong awareness of AI system performance benchmarks (latency, speed, throughput) and ability to optimize models accordingly
Experience working with AI agents, designing real-world intelligent automation solutions beyond just open-source experimentation
Proficiency in transformer-based architectures (BERT, GPT, LLaMA, Whisper, etc.), including pre-training, fine-tuning, and task-specific adaptation

Job Responsibility

Develop and deploy AI models for unstructured data (text, speech, audio, images) with a focus on enterprise-scale performance
Fine-tune, optimize, and deploy LLMs and multimodal models, integrating distributed training, quantization, and pruning techniques for efficiency
Design and implement production-ready AI solutions, ensuring scalability, low-latency inference, and high throughput
Work with AI agents and automation frameworks to create intelligent, real-world AI applications for enterprise clients
Build and maintain end-to-end LLM Ops pipelines, ensuring efficient training, deployment, monitoring, and model updates
Implement vector search and retrieval-augmented generation (RAG) systems for large-scale data solutions
Monitor AI performance using key metrics such as speed, latency, and throughput, continuously refining models for real-world efficiency
Work with cloud-based AI infrastructure (AWS, GCP) and containerized environments (Docker, Kubernetes) to scale AI solutions
Collaborate with engineering, DevOps, and product teams to align AI solutions with business needs and client requirements
Implement data curation pipelines, including data collection, cleaning, deduplication, decontamination, etc. for training high-quality AI models

Senior Data Scientist

We’re looking for a experienced Data Scientist with deep learning experience to ...

Location

France , Lyon

Salary:

Not provided

HawkCell

Expiration Date

Until further notice

Requirements

4+ years of experience in deep learning applied to imaging
Proven track record of bringing models to production
Strong coding standards and experience with Git/GitHub collaboration tools
Proficiency in packaging tools like Poetry or uv
Published research papers and eagerness to continue publishing
Comfortable working in a fast-paced, collaborative environment
Ability to work in an international and English-first environment

Job Responsibility

Lead development of models for denoising, synthetic contrast generation, and classification
Design algorithms for segmentation, localization, and characterization of pathologies
Collaborate with other DS team members and mentor junior profiles
Ensure clean, maintainable code and scalable model packaging (Poetry/uv)
Put models into production and help design robust evaluation pipelines
Publish your work in peer-reviewed venues and represent Hawkcell in the AI community
Contribute to IT topics and help bridge R&D and productionization

What we offer

A mission to revolutionize the animal healthcare industry
A great and ambitious team to grow with
An international culture with 10+ nationalities in the team
An amazing office for you to share with other Hawkstars in Lyon, France

Senior Data Scientist NLP/GenAI - Catalog

You’ll join our Data Science team, where your main mission will be to prototype,...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

At least 4 years’ experience as a Data Scientist
Strong hands-on NLP and applied ML in industry
Experience deploying Machine Learning algorithms to production
Knowledge of NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
Fluent in Python and TensorFlow and/or PyTorch
Experience with Spark development
Pragmatic, data-driven, and business-oriented
Takes full ownership of topics, works autonomously, and is a great team player
Brings a positive mindset: respect and kindness are core values
Enjoys sharing work through internal talks, conferences, or writing

Job Responsibility

Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams
Focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs)
Analyze and prepare data, prototype algorithms
Put algorithms into production with Data Engineers and dev teams
Build dashboards to demonstrate algorithm performance and monitor production
Present results at the weekly data science meeting and join team brainstorms
Partner with other teams to refine use cases, user experience, and integration paths

Fulltime

Senior Data Scientist NLP/GenAI - Catalog

You’ll join our Data Science team, where your main mission will be to prototype,...

Location

France , Bordeaux; Paris

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

At least 4 years’ experience as a Data Scientist
Strong hands-on NLP and applied ML in industry
Experience deploying Machine Learning algorithms to production
Knowledge of NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
Knowledge of the latest LLMs is a plus
Fluent in Python and TensorFlow and/or PyTorch
Experience with Spark development
Pragmatic, data-driven, and business-oriented
Takes full ownership of topics, works autonomously, and is a great team player
Brings a positive mindset: respect and kindness are core values

Job Responsibility

Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams
Focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs)
Analyze and prepare data, prototype algorithms
Put algorithms into production with Data Engineers and dev teams
Build dashboards to demonstrate algorithm performance and monitor production
Present results at the weekly data science meeting and join team brainstorms
Partner with other teams to refine use cases, user experience, and integration paths

What we offer

Build algorithms that visibly impact 500+ e-commerce/marketplace sites in 40 countries
Work with cutting-edge techniques (multimodal models, LLM fine-tuning, etc.)
Real autonomy and ownership over your projects

Fulltime

Senior Data Scientist, Care Intelligence

Enable AI product development through data modeling, measurement, and data-drive...

Location

United States

Salary:

160000.00 - 190000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

6+ years professional experience in a data science role with a focus on product development
3+ years professional experience working in healthcare or regulated industries
Expert proficiency in both SQL and Python
Proven experience with AI product prototyping, leveraging LLMs and model evaluation
Passionate about improving maternal health outcomes through innovative AI solutions
Demonstrated ability to scope and implement solutions to complex, ambiguous problems across multiple domains
Excited to work cross-functionally with technical and non-technical teams, effectively communicating technical capabilities and limitations to diverse stakeholders

Job Responsibility

Become an expert in Pomelo’s business model and patient experience, identifying opportunities for AI product development
Complete exploratory analyses to inform development of AI features, such as conversation topic categorization and patient journey segmentations
Contribute to the development of AI-powered features and products, such as content generation, clinical decision support, and automated workflows
Define and implement quantitative metrics and measurement frameworks to measure the quality and impact of AI-generated content and workflows
Execute comprehensive analyses to measure AI product performance, conduct A/B tests, and quantify the impact of AI-driven features on clinical and business outcomes

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation

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AI Data Scientist - Senior

Job Description

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