... developing automated prediction and retraining workflows. Collaborate with cross-functional teams on analytics projects. Document model development activities and technical processes. Stay updated with emerging trends in Data Science and AI. Requirements Requirements - 1-3 years of experience in Data Science, Machine Learning, ...
... (e.g., GKE, Cloud Run, Cloud Pub/Sub, Cloud SQL, Bigtable, or Spanner).- Computer Science Foundations: Superior problem-solving ability with deep expertise in Data Structures, Algorithms, and System https://jobeax.com/link/aaV065p2i3htq47V Qualifications :- Data Migration: Proven track record of executing large-scale database ...
... hyperscale data centres that meet the needs of our customers – the world's most transformational companies. Having opened Australia's first and largest hyperscale data centres in 2017, we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APJ region. Come join the A-Team at AirTrunk, ...
... projects. This role is contributing to the Process Automation business for Marine & Ports division based in Bangalore, India. Preparing the man hour estimate, technical and commercial offer for the project Providing technical support for testing, installation, and commissioning activities. Harmonic analysis Relay coordination ...
We are looking for a skilled Data Engineer with strong experience in Python and AWS cloud technologies. The ideal candidate should have hands-on knowledge of building automation frameworks, managing test scripts, and working with various AWS services. This role requires good technical understanding, strong problem-solving ...
... R&D initiatives from start to finish. - Excellent verbal and written communication and presentation skills with the ability to interact and collaborate with technical and non-technical groups at all levels. - A data-driven and action-oriented mindset with excellent planning, analytical, problem-solving, project/program management, ...
... production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, and business insights Perform data exploration, feature engineering, and statistical modeling Communicate insights clearly to technical and non-technical stakeholders Machine Learning Design, build, ...
... Collaboration :- Work closely with Product, Engineering, Data Science, Analytics, Marketing, and Business teams.- Ensure alignment across functions on product strategy, data initiatives, and operational priorities. Qualifications & Skills :- Bachelor's degree in Engineering, Computer Science, Data Science, or a related technical field; ...
... Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, ...
... a collaborative environment Qualifications - Bachelor's or Master's degree in Electrical Engineering, Electronics and Communication Engineering, or Computer Science from a reputed engineering institution - Strong proficiency in C/C++ programming languages with solid understanding of design patterns, data structures, and ...
... NoSQL databases - Deep understanding of conceptual, logical, and physical data modeling techniques - Experience working with structured, semi-structured, and metadata-driven datasets - Knowledge of data quality, data governance, and metadata management principles - Experience collaborating with technical and business stakeholders ...
... https://jobeax.com/link/M8ebsC1nNQlhEQeQ :- Noida Sector 63 (Work From Office) For AWS Presales- Mumbai (Work From Office) For Data Center Presales- Bangalore (Work From Office) For Data Center PresalesJob Description : Data Center / Azure / AWS Presales Consultant- Proactively identifies and scopes the technical solutions necessary to address ...
... experience, with at least 4 years in parts management - Experience with scripting, AI, and continuous improvement enablers - Proficiency in CATIA V5/V6 - Knowledge of data science methodologies - Proficiency in software tools such as Excel, PowerPoint, Visio, Python, and Java - Familiarity with ERP systems - Strong problem-solving ...
Role Overview:As a Data Scientist II, you will serve as a pivotal bridge between complex data architecture and actionable business strategy. Your day-to-day involves architecting sophisticated machine learning models, conducting deep-dive exploratory data analysis, and translating technical findings into high-impact narratives ...
... processes and identify areas for improvement. Prepare BRD, FRD, user stories, process flows, and functional specifications . Coordinate with business teams, technical teams, and management to ensure requirements are clearly understood. Analyze business data and prepare reports, dashboards, and insights for decision-making. ...
... execute technical scoping and delivery against business requirements. What you'll be doing: KRA 1 Data Pipeline Development • Design, build, test, and maintain data pipelines (ELT) using Databricks, Delta Live Tables, and Databricks Asset Bundles, according to business and technical requirements. • Manage data workflows and ...
... and configure applications in Kubernetes.- Create and maintain shell scripts and SQL queries to support integration, troubleshooting, and reporting.- Perform data mapping, data transformation, and data quality activities.- Provide technical leadership on best practices for data governance, security, and integration patterns.- ...
We are currently seeking a Lead Data Analyst , reporting directly to BI & Data Analytics Manager to join the team based in Noida. The Lead Data Analyst will work closely with the business and has a dynamic role that bridges technical data analysis with strategic business insights. The Lead Data Analyst should possess quick ...
... optimization, with hands-on experience in Python, SQL, Bayesian modelling, and cloud-based machine learning environments such as AWS SageMaker. Lead and mentor a team of data scientists and provide technical direction across multiple data science projects. Own the end-to-end delivery of data science solutions, from problem definition ...