126 Empregos para Tecnologias Emergentes - Brasil

Overview:

Job Title: Senior Full-stack Engineer

Work Arrangement: Remote| Must be able to work EST hours

Job Type: Full-time

Salary: Competitive base salary in USD

Industry: PropTech / B2B SaaS / Real Estate Technology

Work Schedule: 40 hours per week

About Pearl Talent:

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They're looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we've hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.

Hear why we exist, what we believe in, and who we're building for: Watch here

Why Work with Us? :

We're not just another recruiting firm—we focus on placing candidates with exceptional US and EU founders who prioritize the long-term success of their team members. We also provide retention bonuses at 3, 6, 9, and 12 months, as well as community-driven benefits like an annual retreat.

About the company:

Our partner company helps the world's most prominent companies navigate their most important brand, reputation, and product challenges. We specialize in high-impact research with hard-to-reach audiences -- recruiting the exact audiences our clients need, anywhere in the world. Our in-house teams ensure rigorous quality, rapid execution, and clear, strategic insights. Every engagement is custom-built, senior-led, and designed to deliver answers that drive key decisions.

Key Responsibilities

• Train and evaluate ML models using common machine learning frameworks in Python. Examples include TensorFlow, Keras, scikit-learn, or PyTorch.
• Develop and refine NLP pipelines (e.g., tokenization, entity recognition, similarity models).
• Perform fine-tuning and prompt engineering for LLMs (GPT, Claude, etc.).
• Create semantic search and recommendation models using vector embeddings and clustering techniques.
• Conduct experiments, hyperparameter tuning, and performance benchmarking.
• Collaborate with software engineers to integrate models into backend systems.
• Prepare clear documentation, model cards, and evaluation reports.

Requirements:

Required Skills

• Strong proficiency in Python for machine learning and data processing.
• Experience with NLP libraries: spaCy, Hugging Face Transformers, gensim, nltk.
• Comfortable training deep learning models using Keras, TensorFlow, or PyTorch.
• Ability to design and execute ML experiments, evaluate models, and interpret results.
• Familiar with version control (Git), shell scripting, and Linux development environments.
• Basic back end software engineering skills, such as creating and managing endpoints, database services, and task queues.
• Experience with production environments (e.g., batch inference, model packaging).

Nice to Have

• Experience with MLOps tools (e.g., MLflow, SageMaker, DVC).
• Contributions to Kaggle competitions, AI research, or open-source ML/NLP projects.
• Background in classical ML, unsupervised learning, or semantic modeling.

Working Conditions

• Fully remote, must be able to collaborate during EST hours.
• Work closely with backend/frontend engineers, but not expected to build application UIs.
• Focused environment for pure AI/ML development, research, and delivery.

Benefits:

Why Join Now

• Be a foundational member of a venture-scale company with real distribution advantages in real estate.
• Own key technical systems from day one, shaping how they evolve.
• Culture built on speed, iteration, and execution.

What You'll Get:

• Professional Development: Annual learning budget for books, courses, and conferences
• Mentorship: Learn directly from startup veterans (ex-Looker, GitHub, Mulesoft)
• Impact: Help shape a growing brand with a voice that influences fintech innovation
• Inspiring Workspaces: Offices in Berlin, New York, and London, with travel opportunities
• Flat Hierarchy: Work directly with founders and have your ideas heard
• Flexible Work Setup: Equipment of your choice, strong home office support

Hiring Process:

• Application
• Screening
• Top-grading Interview
• Skills Assessment
• Client Interview
• Offer
• Onboarding

Come to one of the biggest IT Services companies in the world! Here you can transform your career!

Why to join TCS? Here at TCS we believe that people make the difference, that's why we live a culture of unlimited learning full of opportunities for improvement and mutual development. The ideal scenario to expand ideas through the right tools, contributing to our success in a collaborative environment.

We are looking for SR MLops Engineer who wants to learn and transform his career.

In this role you will:

• Deploy, automate, and monitor machine learning models in production environments.
• Develop and maintain data and model pipelines using MLOps tools.
• Provide technical support to the Data Science team, promoting best practices in Machine Learning Engineering and DevOps.
• Evolve and maintain the internal MLOps framework.
• Ensure the security, performance, and scalability of the implemented solutions.

Mandatory Skills:

• Proven experience in MLOps
• Hands-on experience with AWS
• Kubernetes for container orchestration
• MLFlow for experiment/model management
• Argus
• Kedro for pipeline orchestration
• Experience with databases (preferably Amazon Redshift, experience with other relational and non-relational databases is also valued)
• Knowledge of code versioning and CI/CD processes (Jenkins, or similar)
• Strong documentation skills and ability to communicate clearly with both technical and non-technical stakeholders
• English

Desirable skills:

• Experience with Infrastructure as Code (IaC), especially using Terraform or AWS CloudFormation
• Experience in complex data environments (distributed architectures, batch, and real-time processing)
• Knowledge of security best practices for Machine Learning pipelines

<<>>

What do we offer?

• TCS Benefits – Brazil:
• Health insurance
• Dental Plan
• Life insurance
• Transportation vouchers
• Meal/Food Voucher
• Childcare assistance
• Gympass
• TCS Cares – free 0800 that provides psychological assistance (24 hrs/day), legal, social and financial assistance to associates
• Partnership with SESC
• Reimbursement of Certifications
• Free TCS Learning Portal – Online courses and live training
• International experience opportunity
• Discount Partnership with Universities and Language Schools
• Bring Your Buddy – By referring people you become eligible to receive a bonus for each hire
• TCS Gems – Recognition for performance
• Xcelerate – Free Mentoring Career Platform
• Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression , age, marital status, disability, sexual orientation or any others. We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.
• At Tata Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects each person. Our motto is Inclusion without exception.

At TATA Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects individuality. Come to be a TCSer!

RGS -

About

Flatiron is a global remote software development company with engineers located around the world. We unite experts from diverse backgrounds and experiences in a collaborative culture to deliver exceptional products and services for our clients. As a forward-thinking software engineering company, we provide industry-leading solutions to complex problems in both the US and the UK. Operating in a fast-paced, agile environment, we specialize in software consulting for our clients. We offer a stimulating and rewarding environment for our team members. We value innovation, continuous learning, and professional growth, and we strive to create a workplace where everyone can thrive. Join us at Flatiron and be a part of a team that is shaping the future of software development.

Job Summary

This is a full-time fully remote working opportunity where you will be working as part of a Scrum team which requires working closely with other software engineers, stakeholders and contributors on the project. Working with respect to the US timezone is a requirement for the position. Attending meetings, being actively involved in the decision making process and collaborating with all of these stakeholders are essential parts of this position.

Key Responsibilities

• Design, develop, and deploy scalable, production-ready machine learning systems and end-to-end pipelines on AWS.
• Partner with data scientists, software engineers, and product teams to define requirements, select algorithms, and deliver impactful ML solutions.
• Architect, optimize, and maintain ML infrastructure — including data ingestion, model training, deployment, serving, monitoring, and lifecycle management — using AWS services.
• Lead the data preparation and feature engineering process, ensuring data quality, integrity, and scalability across large datasets.
• Implement and optimize ML models (supervised, unsupervised, deep learning, NLP, recommendation systems) with a focus on performance, accuracy, and reliability.
• Build and manage robust data pipelines and orchestration workflows to support ML systems at scale.
• Integrate models into backend services and APIs, ensuring seamless interaction with applications and end users.
• Contribute to MLOps practices, including CI/CD for ML, model registries, experiment tracking, automated retraining, and infrastructure-as-code provisioning.
• Utilize Infrastructure-as-Code tools such as Terraform, AWS CDK, or CloudFormation to build and maintain scalable, secure ML infrastructure.
• Stay ahead of emerging trends in AI/ML, evaluating new research, frameworks, and tools to enhance product capabilities.
• Provide technical leadership and mentorship to junior engineers, guiding best practices throughout the ML lifecycle.

Minimum Qualifications

• Advanced written and oral English proficiency.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• 7+ years of professional experience designing, building, and deploying machine learning models in production environments.
• Strong hands-on experience with AWS for ML workflows (data pipelines, model training, deployment, and monitoring).
• Expert proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Proficiency with TypeScript for building ML-integrated backend services and automation workflows.
• Experience with Infrastructure-as-Code tools (Terraform, AWS CDK, or CloudFormation ) for deploying ML infrastructure.
• Strong knowledge of data processing and analysis tools (Pandas, NumPy, SQL) and orchestration workflows.
• Proven track record deploying ML systems into production and integrating them into real products or services at scale.
• Experience with containerization (Docker), orchestration (Kubernetes), and MLOps best practices.

Preferred Qualifications

• Experience with large language models (LLMs), retrieval-augmented generation (RAG) pipelines, or agentic AI systems.
• Expertise in deep learning, NLP, time-series forecasting, or computer vision.
• Familiarity with platforms such as MLflow, Kubeflow, or Amazon SageMaker for model lifecycle management.
• Contributions to open-source AI/ML projects or publications in the field.
• Understanding of data engineering workflows, ETL pipelines, and real-time data processing

Benefits

• Yearly Office Allowance Budget
• Macbook Purchase Support
• Wellbeing Support

If you are a good fit for the position, please apply through LinkedIn.

We only accept CVs that are in English.

Flatiron has a zero tolerance to discrimination policy. In this regard, during the course of the evaluation of your job application and all your employment relation, if any, all discriminatory factors such as race, sex, sexual orientation, social gender definitions/roles, color, national or social background, ethnicity, religion, age, disablement, political opinion or any status that is protected under law shall be disregarded.

Come join us

Bem-vindo ao mundo da Engenharia de Dados Como um especialista em dados, você será responsável por transformar requisitos de negócios em soluções técnicas, analisando práticas e processos atuais e identificando oportunidades futuras. Você ajudará a planejar e implementar serviços de design de dados, construir pipelines de dados modernos, APIs de serviços de dados e muito mais. Junte-se a nós nesta jornada de inovação e faça um impacto duradouro no mundo da tecnologia. Together we do what matters.

Skills and experiences

• Experiência com desenvolvimento em machine learning;
• Conhecimento em Python e/ou ferramentas low-code aplicadas à IA;
• Pós-graduação completa ou em andamento em áreas correlatas (Ciência de Dados, Inteligência Artificial, Estatística, Engenharia, entre outras);
• Interesse e envolvimento em projetos com foco em dados e inteligência artificial.

About you

Características que demonstram sucesso para este papel:

• Analítico, curioso, ágil
• Trabalho em equipe e boa comunicação
• Solucionador de problemas, paciente e orientado para a qualidade
• Auto-motivado
• Mentalidade inovadora

What you'll do

• Desenvolver e aplicar modelos de machine learning voltados a diferentes contextos de negócio;
• Manipular e preparar dados para uso em soluções analíticas;
• Utilizar linguagens e ferramentas como Python e/ou plataformas low-code focadas em IA;
• Colaborar com equipes multidisciplinares para implantação de soluções de Data & AI;
• Apoiar a evolução técnica das soluções com boas práticas e visão analítica.

Enjoy your career

Algumas das melhores coisas sobre trabalhar na Avanade:

• Oportunidade de trabalhar para o Parceiro Global do Ano da Microsoft (14 anos consecutivos), com desenvolvimento e treinamento excepcionais (mínimo de 80 horas por ano para treinamento e certificações pagas)
• Acesso em tempo real a recursos técnicos e qualificados globalmente
• Consultor de carreira dedicado para incentivar seu crescimento
  Colegas engajados e prestativos genuinamente interessados em você

Saiba mais sobre alguns de nossos benefícios:

• Vale refeição ou alimentação;
• Cartão Multibenefícios até Consultor Sênior;
• Convênio médico e odontológico;
• Certificações e treinamentos;
• Seguro de Vida;
• Previdência Privada;
• Avababy: acompanhamento da gestação e kit para os novos pais e mães Avanade;
• Participação nos resultados da empresa;
• Wellhub;
• Auxílio Creche;
• Orientador de Carreira - Mentoria de carreira;
• Política de Birthday Off em seu aniversário e de filhos até 12 anos;
• Sessões de Bem-Estar;
• Para função gerencial ou superior - Veículo corporativo, estacionamento e auxílio combustível.

A great place to work

Ao trazer suas habilidades e capacidades para a Avanade, você terá experiências distintas, aprendizado ilimitado e crescimento ambicioso em troca. À medida que continuamos a construir nossa cultura diversa e inclusiva, nos tornamos ainda mais inovadores e criativos, ajudando a servir melhor nossos clientes e comunidades. Você se juntará a uma comunidade de colaboradores inteligentes e solidários para elevar, orientar e guiar você, e contar com sua expertise. Você terá uma empresa construída para soluções tecnológicas de ponta e críticas para o negócio, comprometida em melhorar a maneira como os humanos trabalham, interagem e vivem. Está tudo aqui, então dê uma olhada mais de perto

Nosso time é composto por pessoas com diferentes experiências e formações. Acreditamos que essa diversidade fortalece nossa empresa.

Crie um futuro para nossas pessoas que se concentram em:

• Expandir seu pensamento
• Experimentar intensamente
• Aprender e girar

Inspire grandeza em nossas pessoas por:

• Empoderar cada voz
• Encorajar a ousadia
• Comemorar o progresso

Acelere o impacto de nossas pessoas por:

• Surpreender o cliente
• Priorizar o que importa
• Agir como um só

Who we are:

CloudWalk is a fintech company reimagining the future of financial services. We are building intelligent infrastructure powered by AI, blockchain, and thoughtful design. Our products serve millions of entrepreneurs across Brazil and the US every day, helping them grow with tools that are fast, fair, and built for how business actually works. Learn more at .

Who We're Looking For:

We're looking for a Machine Learning Engineer to own and evolve our distributed training pipeline for large language models. You'll work inside our GPU cluster to help researchers train and scale foundation models using frameworks like
Hugging Face Transformers, Accelerate, DeepSpeed, FSDP,
and others. Your focus will be distributed training: from designing sharding strategies and multi-node orchestration to optimizing throughput and managing checkpoints at scale.

This role is
not research
- it's about building and scaling the systems that let researchers move fast and models grow big. You'll work closely with MLOps, infra, and model developers to make our training runs efficient, resilient, and reproducible.

What You'll Do:

• Own the architecture and maintenance of our distributed training pipeline;
• Train LLMs using tools like DeepSpeed, FSDP, and Hugging Face Accelerate;
• Design and debug multi-node/multi-GPU training runs (Kubernetes-based);
• Optimize training performance: memory usage, speed, throughput, and cost;
• Help manage experiment tracking, artifact storage, and resume logic;
• Build reusable, scalable training templates for internal use;
• Collaborate with researchers to bring their training scripts into production shape.

What We're Looking For:

• Expertise in distributed training: Experience with DeepSpeed, FSDP, or Hugging Face Accelerate in real-world multi-GPU or multi-node setups;
• Strong PyTorch background: Comfortable writing custom training loops, schedulers, or callbacks;
• Hugging Face stack experience: Transformers, Datasets, Accelerate - you know the ecosystem and how to bend it;
• Infra literacy: You understand how GPUs, containers, and job schedulers work together. You can debug cluster issues, memory bottlenecks, or unexpected slowdowns;
• Resilience mindset: You write code that can checkpoint, resume, log correctly, and keep running when things go wrong;
• Collaborative builder: You don't mind digging into other people's scripts, making them robust, and helping everyone train faster.

Bonus Points:

• Experience with Kubernetes-based GPU clusters and Ray;
• Experience with experiment tracking (MLflow, W&B);
• Familiarity with mixed precision, ZeRO stages, model parallelism;
• Comfort with CLI tooling, profiling, logging, and telemetry;
• Experience with dataloading bottlenecks and dataset streaming.

How We Hire:

• Online assessment: technical logic and fundamentals (Math/Calculus, Statistics, Probability, Machine Learning/Deep Learning, Code)
• Technical interview: deep dive into distributed training theory and reasoning (no code)
• Cultural interview
• If you are not willing to take an online quiz, do not apply.

If you've trained LLMs before - or helped others do it better - this role is for you.
Even if you don't check every box, if you're confident working with distributed compute and real-world LLM workloads, we want to hear from you.

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections.

Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.

The Role You'll Play

• Develop and deploy production-ready machine learning models across a wide range of applications.
• Monitor and maintain the performance of models in production environments.
• Engineer and integrate data from multiple sources to fuel training pipelines, predictions, and business insights.
• Collaborate with Product Managers to ensure solutions align with customer impact and business goals.
• Write clean, testable, and scalable code while contributing to shared design documents and engineering discussions.
• Conduct peer reviews to uphold engineering quality and share knowledge across the team.
• Stay current with emerging technologies in ML, data engineering, and AI.

Experience You Bring

• 2+ years of hands-on experience building and deploying machine learning models in production.
• Proficiency in Python and SQL, with a strong understanding of data manipulation and model pipelines.
• Excellent communication skills, both written and verbal, with the ability to explain technical work in a clear and thoughtful way.
• Intellectual curiosity and a bias for action—you're excited to explore, experiment, and iterate.
• Strong business intuition and the ability to balance technical rigor with customer outcomes.
• A results-driven mindset—you care more about solving the problem than using the flashiest method.
• A proactive approach to identifying and solving complex challenges—both independently and in collaboration.

Have we piqued your curiosity?
Sound like the role for you? We'd love to hear from you Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes.

Playlist is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.

By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at Playlist, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our
California Applicant Privacy Notice
or
International Applicant Privacy Notice
(as applicable).
Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

We are looking for experienced Machine Learning Engineers to join Remotely's global talent network.

Many of our clients are currently looking for this type of profile, so we'd love to have you in our network

Responsibilities

• Build and deploy machine learning models in production.
• Collaborate with engineering teams to integrate ML into products.
• Analyze and improve model performance.
• Work with large and unstructured datasets.

Requirements

• 5+ years of experience in Machine Learning / AI.
• Strong skills in Python, TensorFlow, PyTorch, Scikit-learn.
• Experience with MLOps and cloud platforms (AWS, GCP, Azure).
• Fluent English (mandatory).
• Excellent communication and teamwork.

Nice to have: Generative AI (LLMs), Startup experience.

Apply here:

Job Type: Full-time

Pay: R$428, R$642,000.00 per month

Location:
Fully remote

Employment type:
 Part-time

About Bizmoni Corp.

Bizmoni is the worlds first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a global, fully remote team to shape the future of financial technology. Our mission is to make powerful AI-driven financial and business tools accessible to everyone from individuals starting side hustles to enterprises scaling globally.

About the Role:

We are seeking a skilled and driven MLOps Engineer to design, automate, and optimize our machine learning infrastructure. In this role, you will play a crucial part in bridging the gap between data science and operations by streamlining our AI/ML workflows from experimentation to production.

You will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Your work will directly impact thousands of users worldwide by enabling real-time, AI-powered financial insights and business solutions.

If you are passionate about deploying cutting-edge ML technologies and want to be part of a mission-driven fintech startup, wed love to hear from you

What You'll Do:

• Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
• Automate ML pipelines with Docker, Kubernetes, and CI/CD frameworks.
• Collaborate with data scientists and engineers to streamline model deployment.
• Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost.
• Ensure compliance and security protocols for sensitive financial data.
• Provide support and maintenance to ensure the reliability of ML applications.

What You'll Bring:

• Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus).
• Strong programming skills in Python (preferred); familiarity with Java or Scala is a plus.
• Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker).
• Hands-on experience with cloud services (AWS, Azure, or GCP).
• Solid knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with Git and CI/CD tools.
• Strong understanding of ML algorithms and their real-world applications.
• Excellent communication and collaboration skills in a remote, cross-timezone team environment.
• Bachelors or Masters degree in Computer Science, Data Science, or related field (or equivalent experience).

Why Youll Love Working at Bizmoni:

• Be part of a mission-driven company building the future of AI-powered FinTech.
• Fully remote role with a global, diverse team.
• Equity-based compensation with the potential for future full-time opportunities.
• Culture of innovation, collaboration, and ownership.|

Before Applying, Ask Yourself:

• Are you open to equity-based compensation?
• Are you able to dedicate 16 hours weekly to our project?

If your answers are 
YES
, then we are happy to meet you

Recruitment Process:

1. Interview with Data Science Department Manager & TA Partner.
2. Offer (based on final positive feedback).

Please submit your your English CV .

Only shortlisted candidates will be invited to interview. Thank you.

Bold Metrics
 is the leading fit and sizing solution on the market today for the world's top retailers and brands. We are a venture-backed startup that is making a big impact on the environment, forever changing the landscape of eCommerce. We are a remote-first company that is full of inspiring and friendly people.

We are currently searching for a 
Machine Learning Engineer (Data Scientist)
 to join our fast-growing team. This position is for someone located in São Paulo, Brazil who is able to come into the office in-person at least once weekly. In this position you will have the opportunity to work with some of our biggest projects within the retail industry.

About You:

You are a humble, passionate, and experienced engineer that is looking for a collaborative and analytical Data Scientist role to support the execution of our product deliveries and machine learning pipeline. This comprises validating the data flow from data sources, analyzing patterns and trends in the data, and facilitating machine learning updates to the system.

As our Data Scientist, you are an extremely detail oriented, out-of-the-box problem solver with a commitment to doing high-quality work. You will work closely with the Engineering and Data Teams, alongside Customer Success teams to support the flow of data collection and machine learning initiatives to ultimately drive customer success.

How You Will Make an Impact:

• Lead strategic decision-making for user growth and product innovation by utilizing the full range of data science tools, including analytics, experimentation, forecasting, and machine learning, to enhance the entire consumer experience.
• Develop and deploy machine learning models and causal inference techniques at scale, from concept to measurable business impact.
• Design and oversee experiments and analyses to evaluate product performance and drive continuous improvements.
• Build and maintain automated, scalable data pipelines to support reporting, data visualization, analytics, and machine learning for internal products and solutions.
• Lead the design and management of comprehensive machine learning platforms, ensuring robust model development and deployment processes.

Skills and Qualifications
: (even if you do not meet these skills 100%, we still welcome you to apply)

• BSc or MSc in Mathematics, Computer Science, Engineering or related field.
• Over 3 years of hands-on experience in Data Science, Machine Learning, and Deep Learning.
• +4 years of demonstrated high proficiency in Python and SQL.
• Practical expertise in A/B testing and causal inference.
• Extensive experience with AWS cloud technologies.
• Proficient in MLOps practices, including model deployment and monitoring.
• Experience with Docker for containerization and Git for version control.

About Us:

Bold Metrics, established in 2017, is a SaaS solution for retailers and brands to reduce returns, improve sustainability and supercharge their supply chain from the ground up. Using a comprehensive set of machine learning and AI technologies to accurately capture customer body measurements, we help apparel brands unlock the power of body data to meet the demands of today's increasingly personalized world.

Learn more about us at

We strive to create a place to work where we all feel safe, empowered, engaged and inspired. We are an
equal opportunity employer
 committed to offering employment that is based upon personal capabilities and qualifications without discrimination based on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

2025 Bold Metrics, Inc.