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🔥 Senior Software Dev Engineer

Posted about 1 hour ago

📍 United States of America

💸 111000.0 - 231250.0 USD per year

🔍 Software Development

🏢 Company: careers

🔧 Requirements

MS in Computer Science or related field with strong understanding of the fundamentals including Data Structures, Algorithms
Experience in algorithm design and ML/AI
4+ years of experience working with languages such as Java or Python
Familiarity with data mining, text processing and classification algorithms
Demonstrated problem solving skills and taking initiatives
Great communication skills, joy in helping people, ability to remain friendly and constructive under stress
2+ experience working with Applied ML

💡 Responsibilities

Research and develop innovative algorithms for information retrieval, processing and ranking.
Build, enhance, optimize and deploy tools, workflows, systems to process Yahoo mail data for extraction relevant information.
Be responsible for improving information extraction using machine learning and natural language processing techniques.
Participate in agile development to add incremental value to the business.
Collaborate with Research scientists to build M/L models for classification, extraction and recommendations in automated fashion.

Python SQL Agile Apache Hadoop Apache Hbase Data Mining ElasticSearch Image Processing Java Machine Learning MLFlow NLTK Numpy PyTorch SCRUM Algorithms API testing Data engineering Data science Data Structures REST API Pandas Spark Tensorflow Communication Skills RESTful APIs Excellent communication skills JSON Data modeling

Posted about 1 hour ago

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🔥 Senior Data Scientist / ML Engineer

Posted about 2 hours ago

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

🏢 Company: TELUS Digital Brazil

🔧 Requirements

Relevant experience in data science/ machine learning development
Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.
Proficiency in Python.
Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).
Strong understanding of machine learning algorithms, processes, tools and platforms.
Ability to work on distributed cloud platforms

💡 Responsibilities

Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;
Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;
Establish efficient, automated processes for large-scale modeling;
Become part of a highly skilled and geographically distributed team;
Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;
Strong sense of ownership, urgency and drive.

AWS Backend Development Docker Python Software Development SQL Apache Airflow Cloud Computing Data Analysis Data Mining Flask Kubernetes Machine Learning MLFlow Numpy Algorithms Data engineering Data science REST API Pandas CI/CD Agile methodologies RESTful APIs DevOps Microservices JSON Data visualization Data modeling

Posted about 2 hours ago

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🔥 Machine Learning Engineer

Posted about 4 hours ago

📍 Colombia

🧭 Full-Time

🔍 Software Development

🔧 Requirements

5+ years of applied ML engineering experience
Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions

💡 Responsibilities

Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions.

AWS Python SQL Keras Machine Learning MySQL Numpy Data science REST API Pandas

Posted about 4 hours ago

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🔥 Bioinformatics Scientist/Engineer

Posted about 4 hours ago

📍 United States

💸 101800.0 - 127300.0 USD per year

🔍 Bioinformatics

🏢 Company: Natera👥 1001-5000💰 $250,000,000 Post-IPO Equity over 1 year ago🫂 Last layoff about 2 years agoWomen's Biotechnology Medical Genetics Health Diagnostics

🔧 Requirements

MS/PhD in Computer Science, Computer Engineering, Bioinformatics, or related field with a strong focus on cancer epi/genomics
Highly experienced in software engineering, algorithm development, and sequencing data analysis, proven through development of production-level software
Deep understanding and extensive hands-on experience with best practices in software development, including design principles, object-oriented design patterns, testing, deployment, version control, code review, and documentation.
Extensive experience in deployment using containerization technologies, such as Docker
Highly experienced in distributed computing on cloud, AWS is preferred
Experienced in code profiling to identify opportunities for code optimization in terms of runtime and memory usage
Deep understanding of sequencing data
Strong computational and programming skills, with hands-on experience with Python and its scientific library stack (Pandas, NumPy, scikit-learn)
Expert in using Linux command-line tools and writing shell scripts
Ability to work independently while managing multiple objectives and timelines
Desire to work in a fast-paced environment with potential for high impact in a small team

💡 Responsibilities

Design and develop production-level code – both writing new code and refactoring existing code – with a strong emphasis on software architecture, optimization, scalability, robustness, maintainability, and thorough documentation, adhering to best software development practices
Strong ability to deeply understand code developed for sequencing data processing and analysis
Design and implement comprehensive tests across the entire codebase and pipeline, including unit tests, integration tests, and end-to-end tests
Facilitate training and evaluation of Machine Learning models on large datasets using distributed computing on AWS
Ability to collaborate between the R&D team and Engineering team to develop and to troubleshoot production software
Participate in Code and Design Reviews

AWS Docker Python Software Development Agile Bash Data Analysis Machine Learning Numpy Algorithms API testing Data science Data Structures Pandas Communication Skills Problem Solving RESTful APIs Linux Documentation Software Engineering

Posted about 4 hours ago

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🔥 Machine Learning Engineer

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Business Intelligence

🏢 Company: TigerEye👥 11-50💰 $30,000,000 Series A over 2 years agoSaaS Sales Enterprise Software Software

🔧 Requirements

A Graduate degree in Statistics, Applied Mathematics, or a related field/equivalent experience
Substantial experience with statistics and data modeling
Knowledge of statistical techniques to build predictive models
Knowledge of time series analysis
Solid understanding of computer science, coding principles and algorithms
Proficiency in programming languages such as Go, Dart, and Python

💡 Responsibilities

Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ go-to-market teams
Own training, integration, deployment, versioning, and monitoring of ML components
Improve TigerEye’s existing metrics collection and analysis techniques in order to expand the range of questions TigerEye is able to explore
Build a customizable heuristic system to surface actionable insights
Provide quantitative rationale to inform group decision-making processes
Design and build our ML infrastructure, including integration with customer data
Develop AI agents (both standalone agents, as well as within the context of multi-agent architecture) from start to finish. This includes from product ideation, to agent/LLM orchestration to qualitative and quantitative evaluation

AWS Python SQL Cloud Computing Data Analysis ETL Machine Learning Numpy Algorithms Data engineering Go Pandas Tensorflow Data modeling

Posted about 5 hours ago

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🔥 Senior Machine Learning Engineer (Underwriting)

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 150000.0 - 200000.0 USD per year

🔍 Software Development

🔧 Requirements

6+ years of experience as a machine learning engineer. Relevant PhD can count for up to 2 YOE
Experience developing machine learning models at scale from inception to business impact
Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
Strong engineering skills in Python and data manipulation skills like SQL
Experience using large scale distributed systems like Spark or Ray
Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, PyTorch, Kubeflow
Experience with Kubernetes, Docker, and Airflow is a plus
Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams

💡 Responsibilities

Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives
Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
Implement and scale data pipelines, new features, and algorithms that are essential to our production models
Collaborate with the engineering, credit, and product teams to define requirements for new products

Docker Python SQL Data Analysis Kubernetes Machine Learning Numpy PyTorch Airflow Algorithms Pandas Spark

Posted about 7 hours ago

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🔥 Data Scientist (Remote - US)

Posted about 19 hours ago

📍 United States

💸 120000.0 - 224000.0 USD per year

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

5+ years of hands-on data science experience with a degree in a quantitative field (e.g. Economics, Computer Science, Statistics)
Proficiency in Python or R for modeling and analysis, with expert-level SQL skills
Solid understanding of statistical methods, experimental design, and causal inference
Experience working with large datasets and data visualization tools (e.g., Looker, matplotlib, ggplot)
Strong communication skills, with the ability to translate complex insights into clear recommendations

💡 Responsibilities

Build and maintain machine learning models that drive decision-making across marketing strategies
Conduct A/B testing and use causal inference techniques to measure campaign effectiveness
Develop and communicate insights through exploratory data analysis to support budget and growth decisions
Define and monitor key performance metrics, identifying trends and potential improvements
Collaborate with analytics engineering to build scalable, analysis-ready data pipelines and batch processes
Contribute to best practices in data science and support internal knowledge-sharing within the analytics community

Python SQL Data Analysis Git Machine Learning Airflow Algorithms Data science Regression testing Pandas Communication Skills Analytical Skills Collaboration Problem Solving Data visualization Data modeling Data analytics A/B testing

Posted about 19 hours ago

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🔥 Data Analyst

Posted about 24 hours ago

📍 United States

🧭 Full-Time

🏢 Company: Volantio

🔧 Requirements

Proven experience as a Data Analyst or similar role
Strong command of SQL — especially working across complex, relational datasets
Experience with Looker (explores, dashboards, LookML a plus)
Comfort working in a cloud data environment (e.g., BigQuery, Snowflake, Redshift)
Ability to synthesize and communicate complex data clearly to non-technical audiences
Ability to work independently in a remote environment

💡 Responsibilities

Build and maintain Looker dashboards and data models that support key internal and customer-facing reporting needs
Write performant, accurate SQL queries across large datasets (e.g., passenger-level data, offer-level outcomes, revenue impact models)
Partner with product and commercial teams to identify metrics that matter — and ensure they’re measurable and explainable
Use Python (Pandas/Numpy) for more advanced or custom analytics not easily handled in SQL/Looker
Conduct exploratory and root-cause analyses to help understand business trends, anomalies, and outcomes
Collaborate with data science and engineering to validate datasets and improve data quality
Deliver ad-hoc and scheduled reports for both internal stakeholders and airline partners
Work with airline partner data (bookings, revenue, disruptions, etc.) to support ROI reporting and performance narratives
Document key definitions and metrics to support a shared data language across the company
Document processes and maintain data dictionary

Python SQL Data Analysis ETL Pandas Data visualization Data modeling A/B testing

Posted about 24 hours ago

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🔥 Principal Machine Learning Engineer

Posted 1 day ago

📍 United States of America

💸 142500.0 - 264700.0 USD per year

🔍 Medical Devices

🏢 Company: roche-ext

🔧 Requirements

8+ years of experience algorithm (implementing and modifying) experience
8+ years of experience with Python
Experience with C++
Experience with Cloud Computing / AWS
Experience with Docker/Kubernetes
Knowledge of modern software tools and development practices, including agile development and continuous integration / continuous deployment

💡 Responsibilities

Contribute to technology roadmap for algorithm development frameworks and related technology
Work with the Algorithm development team
Provide technical leadership on DP algorithm deployment and integration
Mentoring of software developers and other team members
Translating Research code and PoC (Proof of Concepts) into Products

AWS Backend Development Docker Python Software Development Agile Cloud Computing Image Processing Keras Kubernetes Machine Learning MLFlow Numpy OpenCV PyTorch C++Algorithms Data Structures Pandas Spark Tensorflow CI/CD RESTful APIs Mentoring Data analytics

Posted 1 day ago

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🔥 AI Research Scientist (Sequential Decision Making)

Posted 1 day ago

📍 USA, Canada, UK

🧭 Full-Time

💸 171169.0 - 200000.0 USD per year

🔍 Industrial Automation

🏢 Company: Phaidra👥 1-10💰 $25,000,000 Series A almost 3 years agoArtificial Intelligence (AI)Industrial Automation Machine Learning Information Technology

🔧 Requirements

PhD in a technical field or equivalent practical experience, with demonstrated expertise in one of the following areas: Planning Reinforcement Learning Optimization
1+ years of applied research experience.
Strong background in software engineering, with proficiency in Python and open-source ML libraries such as Keras, TensorFlow, PyTorch, scipy, scikit-learn, numpy, pandas, and ray.
Prior experience with research projects and contributions to open-source software.

💡 Responsibilities

Collaborate with other AI researchers on applied real-world problems to demonstrate algorithmic feasibility and enhance algorithmic capabilities.
Design and implement prediction and decision algorithms to control complex non-linear dynamic systems.
Develop and maintain a benchmarking platform for algorithmic performance evaluation and experimental design.
Clearly and efficiently report and present research findings and developments, both internally and externally, verbally and in writing.
Participate in and organize ambitious collaborative research projects.
Work with external collaborators and maintain relationships with relevant research labs and key individuals.
Mentor and guide Research Engineers to apply research findings and developments to industrial domains.

Python Keras Machine Learning Numpy PyTorch Algorithms Data Structures Pandas Tensorflow Communication Skills Analytical Skills Research Software Engineering

Posted 1 day ago

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