... retrieval Contribute to the DataOps framework, automating data processes and enhancing data quality Implement monitoring and alerting systems to ensure smooth data operations Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or a related quantitative field - 2–4 years of analytics, data science, or related ...
... Our technology mirrors our people - Smart, Innovative & Forward Thinking To maintain a competitive advantage as we grow, we are currently looking for a new 'Technical Support Engineer' Job purpose: To deliver effective technical support for POS solutions by diagnosing and resolving issues, monitoring system performance, ...
... infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. We are ...
... scientists and provides constructive technical guidance. Experience and Qualifications Master's degree or PhD in Data Science, Statistics, Mathematics, Computer Science or a related field, or a bachelor's degree with significant equivalent experience. Significant experience delivering data science projects from problem definition ...
... (sub-100ms) while maintaining model quality and managing compute costs within budget. Cross-functional alignment: coordinating model deployment gates across Data Science, Risk, Compliance, IT Security, and Business teams — each with different timelines, priorities, and risk appetites. Keeping pace with the Databricks roadmap: ...
... remote role Participate in global infrastructure & development projects Education & Experience - BE / MTech degree with min 8 to 12 Years of Experience(Computer Science, Electronics Engineering, or equivalent technical degree) - 5+ years supporting and expanding GitLab, including Agile Planning, pipelines, CI/CD, administration ...
... science and machine learning to continuously enhance modeling practices and methodologies. Required Experience and Skills – Our Must haves: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; 8+ years of experience in data science with a strong focus on model development and algorithm ...
... applications, and sensitive third-party platforms (e.g., payroll vendors, financial services providers, HRIS). Education and Experience: Bachelor's degree in Computer Science, Information Technology, or a related technical field. - 3 years of progressive experience in technical support, IT operations, and IT service management, including ...
... processes and platform features. Qualifications: - Experience: Minimum of 12 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies. - Technical Skills: A deep understanding of Databricks architecture and Apache ...
... can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new capabilities. Work with clients to translate ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
... FlashBlade product, we are building a scale-out all-flash file and object store, designed for the modern world. To really understand how our customers work with data, we are deeply immersed in AI, modern backup, log analytics with Splunk and Elastic, data pipeline with Kafka, cluster computing with Spark, and many more use ...
... reliability. Data Governance: Implement RBAC, data classification, and lineage tracking to ensure compliance and audit readiness. Team Leadership: Mentor and guide data engineers, fostering a culture of continuous learning and architectural rigor. Bachelor's degree in Computer Science, Information Systems, Data Science, or a ...
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
... multiple client engagements.- Collaborate with product managers, delivery managers and data science teams to translate business requirements into well-architected technical solutions.- Own and drive the engineering roadmap for assigned products and client platforms, balancing technical debt reduction with feature and AI capability ...
... extract value from large, disconnected datasets Experienced presenting conceptual and technical improvements to influence decisions Continuous learning to upskill data engineering techniques and business acumen Education and Experience: - Bachelor's or Master's degree in computer science, software engineering, information technology ...
... business operations, translating complex challenges into practical and scalable machine learning solutions. This role will contribute to the continued growth of our data science capabilities in Hyderabad by applying technical expertise, sharing knowledge with team members, and following established engineering and analytical best ...
... through peer reviews, reusable tooling, and pro-active communication to risk leadership and partners. in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science) or equivalent practical experience. - Experience: 2–4 years of Data Science experience, ideally including 3+ years focused on Credit ...
... non-technical stakeholders. - Strong ownership, attention to detail, and ability to manage multiple priorities. - Comfortable working in a fast-paced enterprise environment with evolving technical requirements. - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is preferred.