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Machine Learning Engineer - Intelligence Group at Smartnumbers
City of London, England, United Kingdom - Full Time
Skills Needed
Machine Learning, Mlops, Python, Sql, Aws Sagemaker, Data Engineering, Deep Learning, Scikit Learn, Pandas, Infrastructure As Code, Ci/Cd, Docker
Specialization
Requires 2 to 3 years of commercial experience in platform engineering and data science. Proficiency in Python, SQL, and ML frameworks is essential, along with an understanding of software engineering and DevOps principles.
Experience Required
Minimum 2 year(s)
Insight & Intelligence Analyst (18 Months FTC) at London Borough of Barnet
London, England, United Kingdom - Full Time
Skills Needed
Python, R, Sql, Excel, Power Bi, Statistical Analysis, Machine Learning, Data Transformation, Data Visualization, Qgis, Data Governance, Stakeholder Management
Specialization
Requires experience in producing analytical reports and dashboards using tools like Python, R, SQL, or Power BI. Must possess a strong understanding of statistical methods and the ability to communicate technical findings to non-technical stakeholders.
Experience Required
Minimum 2 year(s)
Senior Data & Business Intelligence Specialist at First Focus
Muntinlupa, Metro Manila, Philippines - Full Time
Skills Needed
Python, Sql, Pyspark, Microsoft Fabric, Azure Databricks, Snowflake, Data Warehousing, Dimensional Modelling, Etl/Elt, Medallion Architecture, Power Bi, Azure Cloud Services, Ci/Cd, Infrastructure As Code, Api Integration, Agile
Specialization
Requires strong commercial experience as a Data Engineer with advanced skills in Python, SQL, and PySpark. Must be proficient in cloud-native data solutions (Azure, Databricks, or Snowflake) and dimensional modelling.
Experience Required
Minimum 5 year(s)
Business Intelligence Analyst-Knoxville Office at Edfinancial Services LLC
Knoxville, Tennessee, United States - Full Time
Skills Needed
Microsoft Sql Server, T Sql, Ssis, Ssrs, Power Bi, Data Mart Design, Etl Processes, Dimensional Modeling, Star Schema, Query Optimization, Microsoft Fabric, Excel, Agile Methodologies, Data Extraction, Report Design, Business Analysis
Specialization
Requires an Associate's or Bachelor's degree with at least 3 years of BI experience. Candidates should possess advanced knowledge of the Microsoft SQL Server stack, including SSIS, SSRS, and Power BI.
Experience Required
Minimum 2 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Tajikistan - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Attention To Detail, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow detailed specifications for egocentric data capture using a designated application.
Business Intelligence and Automation Specialist at WLG
Gyor, Western Transdanubia, Hungary - Full Time
Skills Needed
Digital Transformation, Process Optimisation, Sql, Power Bi, Ai Tools, Project Management, Agile Methodologies, Business Intelligence, Data Management, Workflow Automation, Stakeholder Communication, Change Management
Specialization
Requires experience in large-scale digital transformation, process optimisation, and hands-on proficiency with SQL and Power BI. Candidates must be fluent in both Hungarian and English with a proactive ownership mindset.
Experience Required
Minimum 5 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Mongolia - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Attention To Detail, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow detailed specifications for egocentric data capture using a designated application.
Business Intelligence Analyst - Supply Chain at Globus Medical
Audubon, Pennsylvania, United States - Full Time
Skills Needed
Power Bi, Sql, Data Pipelines, Supply Chain Analytics, Kpi Development, Microsoft Fabric, Looker, Sap Business Objects, Python, R, Bigquery, Microsoft Office, Power Platform, Data Visualization, Demand Planning, Inventory Analysis
Specialization
Requires a Bachelor's degree in Supply Chain, Data Analysis, or a related field with at least 2 years of experience in a BI or analytics role. Proficiency in SQL and BI tools like Power BI is essential, with Python or R being a plus.
Experience Required
Minimum 2 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Nepal - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Smartphone Operation, Adherence To Guidelines
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow detailed guidelines for egocentric video recording in a residential setting is required.
Applied AI Engineer – Engineering Intelligence at Ford Motor Company
Chennai, tamil nadu, India - Full Time
Skills Needed
Python, Llms, Agent Based Systems, Apis, Microservices, Gcp, Software Engineering, Langchain, Langgraph, Autogen, Crewai, Semantic Kernel, Rag, Vector Databases, Mlops, Cae/Fea Tools
Specialization
Requires a Bachelor's or Master's degree in Computer Science or a related field with 2-5 years of experience in applied AI engineering. Must be proficient in Python, LLMs, and system integration, with a preference for experience in agent frameworks and MLOps.
Experience Required
Minimum 2 year(s)
Business Intelligence Analyst ( Mid - Senior) at Cermati.com
Special capital Region of Jakarta, Java, Indonesia - Full Time
Skills Needed
Data Analysis, Sql, Python, R, Data Visualization, Statistical Methods, Bigquery, Excel, Data Mining, Dashboard Creation, Reporting, Business Process Improvement, Communication, Mentoring, Documentation
Specialization
Candidates should have a minimum of 2 years of experience in Business Intelligence or Data Analytics and possess a relevant degree. Expert-level SQL skills and proficiency in Python or R are highly desirable, along with excellent communication skills.
Experience Required
Minimum 2 year(s)
Global Competitive Intelligence Lead - Oncology at Moderna
Cambridge, Massachusetts, United States - Full Time
Skills Needed
Competitive Intelligence, Commercial Strategy, Oncology, Market Insights, Scenario Planning, Go To Market Strategy, Product Positioning, Lifecycle Management, Vendor Management, Cross Functional Collaboration, Strategic Foresight, Data Translation, Market Shaping, Regulatory Strategy, Executive Stakeholder Engagement, Digital Dashboards
Specialization
Requires a Bachelor's degree and 10+ years of experience in competitive intelligence or commercial strategy within pharmaceuticals or life sciences. Must have a proven track record of leading CI strategies in Oncology and the ability to influence executive stakeholders.
Experience Required
Minimum 10 year(s)
Business Intelligence Analyst ( Mid - Senior) at Cermati.com
Special capital Region of Jakarta, Java, Indonesia - Full Time
Skills Needed
Sql, Python, R, Bigquery, Data Visualization, Statistical Analysis, Data Mining, Excel, Dashboard Development, Business Intelligence, Data Transformation, Stakeholder Management, Mentoring, Technical Documentation, Project Leadership, Analytical Reporting
Specialization
Candidates need at least 2 years of professional experience in BI or Data Analytics and a degree in a quantitative field. Expert-level SQL skills are required, with proficiency in Python or R and experience with big data tools being highly desirable.
Experience Required
Minimum 2 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
Washington, District of Columbia, United States - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Following Specifications, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow detailed instructions for egocentric perspective recording using a designated application.
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Togo - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Following Specifications, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to use the designated D&A application and follow specific egocentric recording angles is required.
Business Intelligence Data & Reporting Analyst at Connect for Health Colorado
Denver, Colorado, United States - Full Time
Skills Needed
Power Bi, Sql, Snowflake, Dax, Python, R, Power Automate, Vba, Json, Data Visualization, Agile, Etl/Elt, Data Modeling, Business Intelligence, Data Analysis, Reporting
Specialization
Requires a bachelor's degree in a data-related field and 2-4 years of experience with SQL, Power BI, and programming languages like Python or R. Candidates must be Colorado residents with a proven track record in Agile practices and complex data modeling.
Experience Required
Minimum 2 year(s)
Senior Power BI Business Intelligence Analyst at Blend360
Montevideo, Montevideo, Uruguay - Full Time
Skills Needed
Microsoft Power Bi, Dax, Power Query, Sql, Semantic Data Modeling, Data Visualization, Stakeholder Engagement, Kpi Definition, Azure, Snowflake, Data Analysis, Business Intelligence
Specialization
Requires over 5 years of experience in BI and analytics with strong proficiency in Power BI, DAX, and SQL. Candidates must have experience with cloud data platforms and the ability to communicate insights to both technical and non-technical audiences.
Experience Required
Minimum 5 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
Rio de Janeiro, Southeast, Brazil - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Adherence To Specifications, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow strict recording specifications and use the designated D&A application is required.
AI Research Scientist - Multimodal Intelligence at Apple
Zurich, Zurich, Switzerland - Full Time
Skills Needed
Python, Pytorch, Jax, Tensorflow, Computer Vision, Machine Learning, Generative Ai, Multimodal Foundation Models, Distributed Systems, Data Pipelines, Data Curation, Reinforcement Learning, Model Distillation, Reasoning, Alignment
Specialization
Candidates must have an MS in a technical field with at least 6 years of experience, or a PhD with relevant practical experience. Proficiency in Python and deep learning frameworks, along with experience in large-scale training pipelines, is required.
Experience Required
Minimum 5 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Chad - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Smartphone Operation, Adherence To Guidelines
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to use the designated D&A application and follow detailed data capture guidelines is required.
Machine Learning Engineer - Intelligence Group at Smartnumbers
City of London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

55000.0

Posted On

04 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, MLOps, Python, SQL, AWS SageMaker, Data Engineering, Deep Learning, Scikit-Learn, Pandas, Infrastructure as Code, CI/CD, Docker

Industry

Software Development

Description
About Smartnumbers We are on a mission to stop fraud and improve customer authentication. Fraud is a huge problem affecting millions of people, it costs the UK nearly £7bn and represents 40% of all crime. Too often the solution has been to put in place cumbersome authentication processes that frustrate genuine customers, cause inefficiencies for organisations and fail to prevent fraud. We are changing this by providing organisations with real-time insight into the risk of a caller. We combine patented machine learning technology with our deep domain knowledge to prevent contact centre fraud and streamline customer experience. We recognise that we need to work together to fight fraud, that is why we have fostered strategic partnerships with leading global organisations like BT, Genesys and Amazon. Together, we protect the UKs largest retail banks, investment banks and emergency services. What you'll be working on You will be part of a cross-functional team, working across a variety of tasks from data science research and model development through to platform implementation and maintenance. You will use your knowledge of machine learning algorithms, frameworks, and methodologies to research and develop models for our cloud-based authentication and fraud systems, continuously iterating and evaluating model performance using appropriate metrics. You will: Explore and visualise data to discover innovative features and potential data sources. Engineer datasets, develop data pipelines, perform feature engineering, and write code to train, deploy, monitor, and run real-time inferences. Build and monitor ML models, addressing issues such as overfitting, underfitting, data leakage, and drift. You will use your expertise in engineering and DevOps/MLOps to manage our machine learning platforms using AWS SageMaker and other AWS services. You will: Design, build, and improve scalable public cloud-based machine learning platforms. Develop robust data pipelines and workflows, contributing to platform reliability, scalability, and observability through effective monitoring, alerting, and performance tuning. How you'll work All our teams are given the freedom and autonomy to pick their own technology stack based on their system’s requirements and preferences. Our technology vision and strategy encourages you to try the latest innovations, and we naturally gravitate towards serverless architectures where appropriate. We value clean, maintainable and robust code for our business critical systems. Some of the technologies currently used by the Intelligence Group are listed below - while mastery of all these areas isn't required, familiarity with as many as possible will be advantageous. Cloud and Infrastructure Infrastructure as Code: Amazon CDK ML Platform: Amazon SageMaker (Sagemaker Studio IDE, Sagemaker Training / Processing / Pipeline / Endpoints, Feature Store, Model Registry, Model Monitor) Data Processing: Amazon Athena, Apache Iceberg, AWS Glue, Spark Machine Learning ML Frameworks: Scikit-Learn, Hugging Face ML Algorithms: Tree-based (XGBoost), Deep Learning Model Explainability: SHAP explanations Programming and Development Tools Python Data Processing Libraries, e.g. NumPy, Pandas, Matplotlib, Librosa SQL Source Control and CI/CD GitHub Docker CircleCI Telephony Protocols Session Initiation Protocol (SIP) Contact Centre as a Service (CCaaS), e.g. Amazon Connect, Genesys Cloud What you'll need for the role Smartnumbers values diversity of experience. Candidates should have a strong combination of several of the following skills, competencies and experience: We expect that you will have around 2 to 3 years’ commercial experience across a range of platform engineering and data science responsibilities. The list below gives you an idea of the attributesyou’llneed, though we’renot expecting you to have deepexpertise across all aspects: Collaborative approach to working, preferring to discuss and brainstorm tasks with the rest of the team rather than working in isolation. Able to own tasks end-to-end, take responsibility for the quality of deliverables, and drive ML and MLOps best practices and tooling to consistently enhance our models and ML platform. More interested in finding good solutions, increasing knowledge, and communicating results than simply working fast or producing lots of code. Understanding of machine learning fundamentals: data analysis, feature engineering, algorithms, performance metrics etc. Understanding of software engineering fundamentals: clean code, source control, SOLID principles, design patterns, refactoring etc. Understanding of DevOps/MLOps practices: Infrastructure as Code, data pipelines, CI/CD, containerisation, orchestration/pipelines, system & model monitoring Comfortable digging deep into either datasets or system logs to understand root causes or improve system performance. Proficient in Python, SQL, and data/ML frameworks like Pandas, Scikit-Learn etc. Experience with ML techniques and strategies, such as classical ML, deep learning, clustering, ensembling etc. Experience with MLOps techniques and building andmaintainingscalable data pipelines and ML platforms. Experience with cloud services (preferably AWS) and infrastructure as Code(e.g. CDK, CloudFormation). Familiarity with security and data governance principles and practice. What we can offer you As well as a competitive salary of circa £55k per annum, we also offer a comprehensive benefits package, covering a variety of areas, both professional and personal. These benefits include: Hybrid working style, with the expectation of two days in the office (with a great City of London office base!) Family friendly benefits including paid parental leave policies An extensive health insurance policy for you, with an option to add your family members A workplace pension with Hargreaves Lansdown Life insurance of 4 x your salary A discretionary annual bonus of up to 10% of your salary Weekly self-development time to spend exploring your professional development interests 25 days of annual leave (plus bank holidays), your birthday off, and an opportunity to buy up to 5 days annual leave per year A holistic wellbeing support plan encompassing a variety of offerings to assist you. We provide you with a monthly £50 allowance to fund activities to best support your wellbeing as well as workshops and training to provide tools and guidance. Additionally, there is a wide-ranging employee assistance programme available to advise on personal, family or financial matters and also fun social events during the year. The application process We have a simple 4 stage application process: The interview process will be: Screening interview with the hiring manager Take home coding assessment Technical and competency-based interview Culture & values interviews with HR and bar-raiser Smartnumbers is committed to promoting equal opportunities in employment. You will receive equal treatment regardless of age, disability, neurodiversity, gender, gender identity, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex and sexual orientation. We welcome all applications for this role. We are committed to providing reasonable support/adjustments in our recruiting processes. If you need support, please reach out to the hiring contact. Please see our privacy notice: https://smartnumbers.com/privacy-notice/ About us We help companies in the fight against fraud. Our solutions help protect organisations from downstream fraud by ensuring the contact centre stays secure. Through our consortium of customers and partners, we enable organisations to work together to fight fraud by sharing intelligence and best practice. As a software company with a telecommunications pedigree, we create market-leading security solutions for the contact centre. It’s why more than a thousand organisations trust us to help them fight fraud. Our cloud-based AI-powered platform uses direct access to the carrier network, shared data on known fraudsters from our consortium and machine learning technology to protect your contact centre and your customers. Find out more on how Smartnumbers helps organisations to prevent fraud and authenticate customers in one go here.
Responsibilities
Research and develop machine learning models for cloud-based authentication and fraud systems. Design and maintain scalable ML platforms and data pipelines using AWS services and MLOps best practices.
Machine Learning Engineer - Intelligence Group at Smartnumbers
City of London, England, United Kingdom - Full Time
Skills Needed
Machine Learning, Mlops, Python, Sql, Aws Sagemaker, Data Engineering, Deep Learning, Scikit Learn, Pandas, Infrastructure As Code, Ci/Cd, Docker
Specialization
Requires 2 to 3 years of commercial experience in platform engineering and data science. Proficiency in Python, SQL, and ML frameworks is essential, along with an understanding of software engineering and DevOps principles.
Experience Required
Minimum 2 year(s)
Insight & Intelligence Analyst (18 Months FTC) at London Borough of Barnet
London, England, United Kingdom - Full Time
Skills Needed
Python, R, Sql, Excel, Power Bi, Statistical Analysis, Machine Learning, Data Transformation, Data Visualization, Qgis, Data Governance, Stakeholder Management
Specialization
Requires experience in producing analytical reports and dashboards using tools like Python, R, SQL, or Power BI. Must possess a strong understanding of statistical methods and the ability to communicate technical findings to non-technical stakeholders.
Experience Required
Minimum 2 year(s)
Senior Data & Business Intelligence Specialist at First Focus
Muntinlupa, Metro Manila, Philippines - Full Time
Skills Needed
Python, Sql, Pyspark, Microsoft Fabric, Azure Databricks, Snowflake, Data Warehousing, Dimensional Modelling, Etl/Elt, Medallion Architecture, Power Bi, Azure Cloud Services, Ci/Cd, Infrastructure As Code, Api Integration, Agile
Specialization
Requires strong commercial experience as a Data Engineer with advanced skills in Python, SQL, and PySpark. Must be proficient in cloud-native data solutions (Azure, Databricks, or Snowflake) and dimensional modelling.
Experience Required
Minimum 5 year(s)
Business Intelligence Analyst-Knoxville Office at Edfinancial Services LLC
Knoxville, Tennessee, United States - Full Time
Skills Needed
Microsoft Sql Server, T Sql, Ssis, Ssrs, Power Bi, Data Mart Design, Etl Processes, Dimensional Modeling, Star Schema, Query Optimization, Microsoft Fabric, Excel, Agile Methodologies, Data Extraction, Report Design, Business Analysis
Specialization
Requires an Associate's or Bachelor's degree with at least 3 years of BI experience. Candidates should possess advanced knowledge of the Microsoft SQL Server stack, including SSIS, SSRS, and Power BI.
Experience Required
Minimum 2 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Tajikistan - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Attention To Detail, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow detailed specifications for egocentric data capture using a designated application.
Business Intelligence and Automation Specialist at WLG
Gyor, Western Transdanubia, Hungary - Full Time
Skills Needed
Digital Transformation, Process Optimisation, Sql, Power Bi, Ai Tools, Project Management, Agile Methodologies, Business Intelligence, Data Management, Workflow Automation, Stakeholder Communication, Change Management
Specialization
Requires experience in large-scale digital transformation, process optimisation, and hands-on proficiency with SQL and Power BI. Candidates must be fluent in both Hungarian and English with a proactive ownership mindset.
Experience Required
Minimum 5 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Mongolia - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Attention To Detail, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow detailed specifications for egocentric data capture using a designated application.
Business Intelligence Analyst - Supply Chain at Globus Medical
Audubon, Pennsylvania, United States - Full Time
Skills Needed
Power Bi, Sql, Data Pipelines, Supply Chain Analytics, Kpi Development, Microsoft Fabric, Looker, Sap Business Objects, Python, R, Bigquery, Microsoft Office, Power Platform, Data Visualization, Demand Planning, Inventory Analysis
Specialization
Requires a Bachelor's degree in Supply Chain, Data Analysis, or a related field with at least 2 years of experience in a BI or analytics role. Proficiency in SQL and BI tools like Power BI is essential, with Python or R being a plus.
Experience Required
Minimum 2 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Nepal - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Smartphone Operation, Adherence To Guidelines
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow detailed guidelines for egocentric video recording in a residential setting is required.
Applied AI Engineer – Engineering Intelligence at Ford Motor Company
Chennai, tamil nadu, India - Full Time
Skills Needed
Python, Llms, Agent Based Systems, Apis, Microservices, Gcp, Software Engineering, Langchain, Langgraph, Autogen, Crewai, Semantic Kernel, Rag, Vector Databases, Mlops, Cae/Fea Tools
Specialization
Requires a Bachelor's or Master's degree in Computer Science or a related field with 2-5 years of experience in applied AI engineering. Must be proficient in Python, LLMs, and system integration, with a preference for experience in agent frameworks and MLOps.
Experience Required
Minimum 2 year(s)
Business Intelligence Analyst ( Mid - Senior) at Cermati.com
Special capital Region of Jakarta, Java, Indonesia - Full Time
Skills Needed
Data Analysis, Sql, Python, R, Data Visualization, Statistical Methods, Bigquery, Excel, Data Mining, Dashboard Creation, Reporting, Business Process Improvement, Communication, Mentoring, Documentation
Specialization
Candidates should have a minimum of 2 years of experience in Business Intelligence or Data Analytics and possess a relevant degree. Expert-level SQL skills and proficiency in Python or R are highly desirable, along with excellent communication skills.
Experience Required
Minimum 2 year(s)
Global Competitive Intelligence Lead - Oncology at Moderna
Cambridge, Massachusetts, United States - Full Time
Skills Needed
Competitive Intelligence, Commercial Strategy, Oncology, Market Insights, Scenario Planning, Go To Market Strategy, Product Positioning, Lifecycle Management, Vendor Management, Cross Functional Collaboration, Strategic Foresight, Data Translation, Market Shaping, Regulatory Strategy, Executive Stakeholder Engagement, Digital Dashboards
Specialization
Requires a Bachelor's degree and 10+ years of experience in competitive intelligence or commercial strategy within pharmaceuticals or life sciences. Must have a proven track record of leading CI strategies in Oncology and the ability to influence executive stakeholders.
Experience Required
Minimum 10 year(s)
Business Intelligence Analyst ( Mid - Senior) at Cermati.com
Special capital Region of Jakarta, Java, Indonesia - Full Time
Skills Needed
Sql, Python, R, Bigquery, Data Visualization, Statistical Analysis, Data Mining, Excel, Dashboard Development, Business Intelligence, Data Transformation, Stakeholder Management, Mentoring, Technical Documentation, Project Leadership, Analytical Reporting
Specialization
Candidates need at least 2 years of professional experience in BI or Data Analytics and a degree in a quantitative field. Expert-level SQL skills are required, with proficiency in Python or R and experience with big data tools being highly desirable.
Experience Required
Minimum 2 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
Washington, District of Columbia, United States - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Following Specifications, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow detailed instructions for egocentric perspective recording using a designated application.
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Togo - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Following Specifications, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to use the designated D&A application and follow specific egocentric recording angles is required.
Business Intelligence Data & Reporting Analyst at Connect for Health Colorado
Denver, Colorado, United States - Full Time
Skills Needed
Power Bi, Sql, Snowflake, Dax, Python, R, Power Automate, Vba, Json, Data Visualization, Agile, Etl/Elt, Data Modeling, Business Intelligence, Data Analysis, Reporting
Specialization
Requires a bachelor's degree in a data-related field and 2-4 years of experience with SQL, Power BI, and programming languages like Python or R. Candidates must be Colorado residents with a proven track record in Agile practices and complex data modeling.
Experience Required
Minimum 2 year(s)
Senior Power BI Business Intelligence Analyst at Blend360
Montevideo, Montevideo, Uruguay - Full Time
Skills Needed
Microsoft Power Bi, Dax, Power Query, Sql, Semantic Data Modeling, Data Visualization, Stakeholder Engagement, Kpi Definition, Azure, Snowflake, Data Analysis, Business Intelligence
Specialization
Requires over 5 years of experience in BI and analytics with strong proficiency in Power BI, DAX, and SQL. Candidates must have experience with cloud data platforms and the ability to communicate insights to both technical and non-technical audiences.
Experience Required
Minimum 5 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
Rio de Janeiro, Southeast, Brazil - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Adherence To Specifications, Smartphone Operation
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to follow strict recording specifications and use the designated D&A application is required.
AI Research Scientist - Multimodal Intelligence at Apple
Zurich, Zurich, Switzerland - Full Time
Skills Needed
Python, Pytorch, Jax, Tensorflow, Computer Vision, Machine Learning, Generative Ai, Multimodal Foundation Models, Distributed Systems, Data Pipelines, Data Curation, Reinforcement Learning, Model Distillation, Reasoning, Alignment
Specialization
Candidates must have an MS in a technical field with at least 6 years of experience, or a PhD with relevant practical experience. Proficiency in Python and deep learning frameworks, along with experience in large-scale training pipelines, is required.
Experience Required
Minimum 5 year(s)
Vision Data Intelligence Specialist (Worldwide) at Toloka Annotators
, , Chad - Full Time
Skills Needed
Data Collection, Video Recording, Quality Control, Smartphone Operation, Adherence To Guidelines
Specialization
Must own a smartphone or camera capable of 1080p resolution and 30 FPS. Ability to use the designated D&A application and follow detailed data capture guidelines is required.
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