... backend frameworks (Flask/Django is a plus). Understanding of data structures and algorithms. Good To Have Experience with big data tools (Spark, Hadoop). Knowledge of cloud platforms (AWS, Azure, or GCP). Exposure to machine learning libraries (Scikit-learn, TensorFlow, etc.). Experience with version control tools like Git.
... backend workflows and vector search https://jobeax.com/link/gwJsWkdZi40ebsbZ We Are Looking For (Requirements) :- Experience : 3 to 6 years of professional machine learning or computer vision engineering experience with a strong focus on OCR, document AI, or image processing.- Technical Mastery : Deep proficiency in Python, ...
... annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous experience contributing to AI, machine-learning or data-driven evaluation projects - Bilingual proficiency in English and a second language relevant to your professional domain Visualization & Statistical ...
... annotation or evaluation task development - Experience creating technical reports involving statistics or data science - Previous experience contributing to AI, machine-learning or data-driven evaluation projects - Bilingual proficiency in English and a second language relevant to your professional domain Visualization & Statistical ...
... related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals in statistics and machine learning. - Experience building dashboards, performance reports, or measurement frameworks that stakeholders actually use. - Clear, confident communicator who ...
... e-commerce, marketplaces, and quick commerce. - comfortable working with SQL, Python. - Deep understanding of pricing fundamentals and a basic understanding of machine learning fundamentals. - Experience working with data science teams to productionize pricing or optimization models. - Experience in high-SKU-count environments ...
... research decisions. Explore new and existing data sources to identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the ...
... with crossfunctional teams including Engineering Marketing Sales and Customer Success to ensure successful product launchesbr Utilize Google Data Analytics IoT Machine Learning and other relevant technologies to drive product development and enhancementsbr Oversee the entire product lifecycle from conception to launch including ...
... https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities :- Develop and implement AI applications using large language models (LLMs) with Python and LangChain.- Design, build, and optimize machine learning algorithms for generative AI applications.- Collaborate with data scientists, software engineers, and product managers to create robust AI-driven applications.- ...
... Intelligence Platforms and a Leader in the Gartner® Magic Quadrant™ for 2026 – the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions. ...
... leading Enterprise AI and Intelligent Document Processing (IDP) company that helps global organizations automate complex, document-heavy workflows using AI and machine learning. Our solutions power mission-critical operations across mortgage, insurance, construction, and manufacturing—unlocking data trapped in documents to ...
... TypeScript. Architect scalable and efficient systems to support AI-driven functionalities. Work closely with AI researchers and data scientists to integrate machine learning models into applications. Debug, document, and enhance software solutions to ensure optimal user experience. Collaborate with cross-functional teams ...
... visualization best practices Experience in an analytics services or consulting environment Exposure to cloud platforms (AWS, Azure, or GCP) Basic understanding of machine learning concepts Continuous learning and growth opportunities By submitting this, you agree to this Privacy Notice and you will be deemed to have consented ...
Seeking a Data Engineer to build and optimize scalable data solutions for Fraud Detection, Reporting, and Machine Learning . This individual contributor role focuses on real-time streaming, large-scale data processing, cloud platforms, and analytics engineering . The ideal candidate has strong expertise in Apache Spark, ...
... tracing analysis and service dependency mapping - Familiarity with infrastructure as code (Terraform) for observability resource management - Background in statistical analysis and machine learning for anomaly detection - Experience with business intelligence tools (Tableau, PowerBI) for executive reporting integration
... created * API Testing Tools (e.g., Figma) Frontend Web Development Cloud and Cloud Native DevOps and Infrastructure Engineering Backend Web Development AI and Machine Learning Blockchain/Crypto Development Cybersecurity and Penetration Testing Quality Assurance and Software Testing Financial Services and Fintech What technologies ...
... different functions and departments. Training and Support: Provide training and support to end-users on MDM tools and practices. Data Science Methodologies: Machine Learning and Predictive Modelling: Apply machine learning algorithms and predictive modelling techniques to extract insights and forecast trends. Experience ...
... work https://jobeax.com/link/TcYMIwwXyQaLOZSp Qualifications :- Prior experience in fast-paced or startup-like environments supporting global teams.- Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure).- Familiarity with machine learning operations and data science workflows is a plus. (ref:hirist.tech)
... analytical querying Advanced Programming : Hands-on capability in Python for exploratory data analysis (EDA), hypothesis testing, and implementing fundamental Machine Learning (ML) models Microsoft BI Stack : Solid foundation across SSIS, SSAS, and SSRS ecosystems Experience tracking user behavior via Google Analytics, Google ...
... leadership.- Strong analytical mindset with an advanced degree in Computer Science, Data Science, or a related quantitative field, reflecting a deep foundation in machine learning theory.- Adaptability to work in a hybrid environment in Bangalore, demonstrating the ability to collaborate effectively across distributed teams while ...