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🔥 Senior Data Scientist | CARE
Posted about 3 hours ago

📍 Brazil, Portugal

🔍 Wellness

🏢 Company: Wellhub

  • Master’s degree or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
  • Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or similar.
  • Strong understanding of generative AI architectures, including transformers and attention mechanisms.
  • Experience in multi-agent systems and LLMs.
  • Strong problem-solving abilities, with a focus on experimental design and data analysis.
  • Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Have clear scientific thinking and a passion for integration R&D and cutting-edge technology into a product
  • Prior experience in Python and SQL
  • Model Development & Fine tuning: Understanding of state-of-the-art deep learning techniques, such as Transformers architectures and attention mechanisms, and knowledge of fine-tuning LLMs for enhanced model performance, using techniques such as LoRA, QLoRA, among others.
  • Function Calling & Tool Use: Design and implement structured function calling mechanisms within LLMs to enable dynamic interactions with APIs, databases, and retrieval-augmented generation (RAG) pipelines.
  • Prompt Engineering: Craft clear instructions that help our models understand exactly what we need, creating reusable templates and testing against edge cases.
  • Data Preparation: Preprocess, analyse, and curate high-quality datasets to train and fine-tune both embedding and generative models.
  • Evaluation and Testing: Develop robust evaluation frameworks to assess agentic AI performance, combining automated evaluation (LLM-as-judge), adversarial testing, human-in-the-loop evaluations, and custom behavioral metrics.
  • LLM Observability: Establish monitoring systems that track LLM behavior in production, capturing key metrics around information retrieval, hallucinations, and latency.
  • Research and Innovation: Stay current with the latest research in generative AI,, share insights with the team, test promising approaches, and help make us better.
  • Deployment: Collaborate with engineering teams to deploy models in scalable and efficient production environments.

AWSPythonSQLData AnalysisMachine LearningPyTorchAlgorithmsAmazon Web ServicesData scienceTensorflowCI/CDRESTful APIsData visualizationData modeling

Posted about 3 hours ago
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🔥 Senior AI Engineer
Posted about 4 hours ago

📍 Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud ComputingSaaSSupply Chain ManagementEnterprise SoftwareFinTechSoftwareProcurement

  • 4-6+ years in a similar Machine Learning or Data Scientist role, including 2+ years experience in LLMs.
  • Proven experience as the first ML engineer or a similar role, demonstrating a strong ability to build ML and AI systems from the ground up.
  • Demonstrated experience building AI apps in production.
  • Proficiency in machine learning frameworks and libraries (e.g. Tensorflow, PyTorch, scikit-learn, Pandas)
  • Experience in building with LLMs such as GPT, Claude, Llama etc and strong understanding of LLM architectures and tools (Llamaindex, vector databases, Transformers, Langchain etc)
  • Experience with ETL/ELT tools, Data Lakehouse tech (Databricks, Python, Apache Spark, Hive, Parquet) and advanced SQL knowledge.
  • Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering.
  • Comfortable leading by example and using influence to drive collaboration, documentation, and knowledge sharing across teams and with a broad range of stakeholders.
  • Able to demonstrate initiative, work independently, and thrive with autonomy while collaborating across teams in a culture of priority setting and moving forward with urgency in alignment with our organizational strategy
  • Adept at focusing on multiple competing priorities, solving unique and complex technical problems, and persistently resolving blockers to progress
  • Familiar with DevOps and MLOps principles such as design for manageability and root cause analysis
  • Familiar working within leading software development best practices such as scrum/kanban, CI/CD, and test automation
  • A strong driver to stay ahead of the curve with GenAI research and apply those insights to build real-world applications.
  • Develop and refine autonomous agents leveraging generative AI to automate and streamline user workflows, enhancing operational efficiency and user experience.
  • Design, create, evolve, and maintain scalable and efficient machine learning systems including, data pipelines, model training, deployment, and monitoring frameworks.
  • Integrate and leverage Large Language Models (LLMs) to develop advanced NLP features, including but not limited to chatbots, workflow automation agents and data analysis tools using state-of-the-art models (e.g. OpenAI, Anthropic, open source models).
  • Develop and enhance systems to deliver personalized experiences to our users, utilizing advanced machine learning and AI technologies to derive engagement and satisfaction.
  • Partner across Product and Engineering teams on requirements to create product capabilities that fundamentally rely on AI and Machine Learning.
  • Drive conversations within Engineering to improve and optimize the source data models, integration of the ML capabilities including those in our product platform.
  • Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability.
  • Mentor other engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team.

PythonSQLETLMachine LearningNumpyPyTorchData engineeringData sciencePandasSparkTensorflowCI/CDRESTful APIsDevOps

Posted about 4 hours ago
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🔥 Data Scientist
Posted about 4 hours ago

📍 United States

🔍 Financial Information

🏢 Company: SmartAsset👥 251-500💰 Secondary Market over 3 years agoMarketplaceFinancial ServicesPersonal FinanceWealth ManagementFinanceFinTech

  • Proficient in Python and SQL
  • Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc)
  • Working experience with the development and deployment of predictive models, with an emphasis on time series and categorization models
  • Strong statistical foundation
  • Develop and deploy machine learning models that will drive business decisions and improve user experience
  • Utilize your strong problem-solving skills, programming know-how, and business analytics to solve real-world problems at scale
  • Access and analyze a variety of data to perform descriptive, predictive and prescriptive analytics, working closely with stakeholders from different teams (Sales, Marketing, Product, and Technology)
  • Be responsible for creating stable models that will run in a production environment

PythonSQLGitMachine LearningNumpyData sciencePandasTensorflowData visualization

Posted about 4 hours ago
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🔥 Senior Applied Scientist - Multimodal LLMs
Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 135481.5 - 227700.0 USD per year

🔍 Software Development

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data ServicesBusiness IntelligenceInternet of ThingsSaaSSoftware

  • 5+ years experience as an Applied Scientist, Machine Learning Engineer, or similar role
  • BS or MS in Computer Science or another quantitative field
  • Strong proficiency in one or more common languages (e.g., Python, Java, C++, Golang)
  • Proficiency with common ML tools and frameworks (e.g., PyTorch, TensorFlow, Spark)
  • Proficiency in pulling your own data via SQL, Spark, or a similar data-querying language
  • Build and improve ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
  • Work with petabyte-scale data from Samsara’s cameras and diverse sensors to develop new multimodal models
  • Research and apply cutting-edge technologies from the latest industry and academic research
  • Collaborate with cross-functional teams to develop innovative AI products from scratch
  • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

PythonSQLData AnalysisImage ProcessingMachine LearningPyTorchAlgorithmsData scienceSparkTensorflowData modeling

Posted about 4 hours ago
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🔥 Machine Learning Engineer
Posted about 13 hours ago

📍 United States

🧭 Full-Time

💸 130000.0 - 200000.0 USD per year

🔍 Software Development

🏢 Company: Sadaora

  • 5+ years of experience developing, deploying, and maintaining ML models in production environments.
  • Proficiency in Python and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost).
  • Strong foundation in statistics, linear algebra, probability, and optimization.
  • Deep understanding of a range of ML techniques (regression, classification, clustering, NLP, deep learning).
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes).
  • Solid understanding of software engineering principles, version control (Git), and CI/CD workflows.
  • Design, train, and evaluate machine learning models using best-in-class frameworks.
  • Architect scalable ML solutions and pipelines, from feature engineering to deployment.
  • Implement rigorous testing, validation, and monitoring processes to ensure model reliability in production.
  • Work closely with data engineers to shape the data architecture required for robust ML workflows.
  • Build efficient ETL pipelines to clean, preprocess, and transform large-scale datasets.
  • Partner with product managers, engineers, and business stakeholders to define ML use cases.
  • Collaborate with software engineers to integrate ML models into production-grade APIs and applications.
  • Translate complex ML concepts into business-relevant insights and recommendations.
  • Stay current with advancements in machine learning, AI, and related fields.
  • Experiment with new algorithms, architectures, and tools to continuously enhance our capabilities.
  • Contribute to a culture of experimentation, technical excellence, and intellectual curiosity.

AWSDockerPythonETLGCPGitKubernetesMachine LearningMLFlowPyTorchAzureData engineeringTensorflowCI/CD

Posted about 13 hours ago
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🔥 Machine Learning Engineer, China (Remote)
Posted about 15 hours ago

📍 China

🏢 Company: Bjak👥 101-250Price ComparisonInsurTechInformation Technology

  • Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects.
  • Proficiency in AI and machine learning frameworks and programming languages (e.g., Python).
  • Strong expertise in data preprocessing, feature engineering, and model evaluation.
  • Excellent problem-solving and critical-thinking skills.
  • Effective leadership, communication, and team management abilities.
  • A passion for staying at the forefront of AI and machine learning advancements.
  • Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
  • Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
  • Responsible for the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
  • Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
  • Drive data-driven decision-making through advanced analytics and visualization techniques.
  • Ensure the security, scalability, and efficiency of AI solutions.
  • Research efforts to explore and integrate cutting-edge AI techniques.

PythonSQLArtificial IntelligenceData AnalysisMachine LearningAlgorithmsData engineeringData scienceREST APITensorflowData visualizationData modeling

Posted about 15 hours ago
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🔥 Machine Learning Manager, China (Remote)
Posted about 15 hours ago

📍 China

🏢 Company: Bjak👥 101-250Price ComparisonInsurTechInformation Technology

  • Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects.
  • Proficiency in AI and machine learning frameworks and programming languages (e.g., Python).
  • Strong expertise in data preprocessing, feature engineering, and model evaluation.
  • Excellent problem-solving and critical-thinking skills.
  • Effective leadership, communication, and team management abilities.
  • A passion for staying at the forefront of AI and machine learning advancements.
  • Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth.
  • Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
  • Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
  • Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
  • Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
  • Drive data-driven decision-making through advanced analytics and visualization techniques.
  • Ensure the security, scalability, and efficiency of AI solutions.
  • Lead research efforts to explore and integrate cutting-edge AI techniques.

DockerPythonArtificial IntelligenceData AnalysisKerasMachine LearningMLFlowNumpyAlgorithmsApache KafkaAPI testingData scienceREST APIPandasSparkTensorflowCI/CDMicroservicesData visualizationData modeling

Posted about 15 hours ago
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🔥 Senior AI Engineer
Posted about 21 hours ago

📍 India

🏢 Company: YipitData👥 251-500💰 Debt Financing 10 months agoMarket ResearchAnalyticsData Visualization

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
  • Basic understanding of machine learning algorithms and deep learning models.
  • Hands-on experience with Python and AI frameworks (TensorFlow, PyTorch).
  • Familiarity with data processing libraries like Pandas, NumPy, and the regular expression.
  • Understanding of model evaluation techniques and performance metrics.
  • Assist in the development, training, and fine-tuning of machine learning (ML) models.
  • Design and implement data pipelines for training models on large-scale datasets, ensuring clean, high-quality, and diverse training data, and providing the ability for incremental learning.
  • Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Support research and development of AI applications in natural language processing (NLP) and predictive analytics.
  • Be familiar with Docker & Kubernetes technology, and develop stable and model-integrated API services.
  • Experiment with prompt engineering, few-shot learning, and fine-tuning in LLM for various business use cases.
  • Optimize transformer-based models, LLM for efficiency, latency, and performance using quantization, pruning, and distillation techniques.

DockerPythonData AnalysisKubernetesMachine LearningNumpyPyTorchAlgorithmsData engineeringPandasTensorflowCI/CDRESTful APIs

Posted about 21 hours ago
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🔥 Senior AI Engineer
Posted 1 day ago

📍 São Paulo, Rio Grande do Sul, Rio de Janeiro, Belo Horizonte

🧭 Full-Time

🔍 Software Development

  • Demonstrable experience in applied AI, with a foundation in machine learning, NLP, LLMs, and statistical analysis.
  • Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases.
  • Experience with data embeddings and vector databases, understanding the trade-off between available options, and leveraging it to optimize data ingestion.
  • Experience in architecting and developing solutions that integrate generative AI with traditional software solutions with minimal to no oversight.
  • Experience building and testing a server-side platform for API development and orchestration.
  • Is proficient in the Python and Typescript language and understands the trade-offs between multiple frameworks and patterns.
  • Skilled in creating and adjusting prompts for complex AI systems to meet diverse project requirements.
  • Familiarity with testing and evaluating AI systems using state-of-the-art methods and best practices.
  • Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock, Azure AI Services, and Vertex AI.
  • Strong collaboration skills and ability to work alongside developers from multiple different areas.
  • Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.
  • Apply your knowledge of AI systems and software engineering to develop solutions that directly address and resolve business problems.
  • Partner with professionals from Data Science and Data Engineering to address complex technical challenges, ensuring that the latest and most effective Data & AI techniques are being utilized.
  • Take ownership of implementing and optimizing applied AI components, ensuring they meet project needs with high complexity and scale.
  • Navigate and manipulate generative AI models, including (but not limited to) LLMs, to create prompts and solutions tailored to specific use cases.
  • Develop and incorporate AI solutions while adhering to industry best practices, including moderation, security, monitoring, and compliance standards.
  • Understand and properly apply Responsible AI concepts in all the stages of the solution.
  • Lead the charge in designing, measuring, and evaluating AI model outputs, developing standard and custom metrics to ensure alignment with business objectives.
  • Translate AI research and PoCs into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems.
  • Drive the selection and application of appropriate evaluation metrics, ensuring that AI solutions are robust, unbiased, and meet all necessary performance standards.

AWSBackend DevelopmentDockerLeadershipPythonSQLArtificial IntelligenceCloud ComputingData AnalysisGitKubernetesMachine LearningNumpyPyTorchSoftware ArchitectureTypeScriptAlgorithmsAPI testingData engineeringData scienceData StructuresREST APIServerlessPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationCI/CDProblem SolvingAgile methodologiesRESTful APIsComplianceJSONData modelingSoftware EngineeringData managementDebugging

Posted 1 day ago
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🔥 Solutions Architect, Conversational AI & Prompt Engineering
Posted 1 day ago

📍 United States

🧭 Full-Time

💸 120000.0 - 200000.0 USD per year

🔍 Healthcare

🏢 Company: Qventus👥 101-250💰 $85,000,000 Series D 2 months agoArtificial Intelligence (AI)Machine LearningHospitalAnalyticsHealth Care

  • Familiarity with conversation modeling techniques, including state machines, decision trees, and graph-based models.
  • Experience with LLM-based conversational AI, such as GPT, Claude, Gemini, and LLaMA
  • Ability to use frameworks like Dialogflow, Rasa, Amazon Lex, Langchain, and others to implement conversational AI solutions.
  • Design and implement AI conversational flow logic, considering potential disruptions, multiple conversation turns, and alternate conversation paths to ensure interactions are effective and meet user and business goals.
  • Create and manage dialogue state, entity extraction, and intent recognition models.
  • Build a scalable and reusable chatbot logic system using a modular design approach

AWSPythonSQLArtificial IntelligenceData AnalysisGCPMachine LearningNLTKNumpyPyTorchTypeScriptAlgorithmsAmazon Web ServicesAPI testingData scienceREST APINosqlTensorflowCI/CDMicroservicesJSONData visualizationCRMData modelingNodeJSSoftware EngineeringData analyticsData managementA/B testing

Posted 1 day ago
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