... Supporting ad-hoc data analysis and business reporting requests Validating data accuracy, consistency, and completeness Investigating data discrepancies and resolving data quality issues Preparing analytical summaries and presenting findings to stakeholders Collaborating with business and technical teams to understand data requirements ...
... products, knowing how to make practical trade-offs when turning ideas into working software. Excel in adapting communication styles and simplifying complex technical concepts for diverse audiences, ensuring clear and effective communication. This is an ideal position for those with not only data science and machine learning ...
... Proven track record working with Implementation Partners and Direct clients - Strong expertise on contract (C2C/C2H) hiring . - Excellent understanding of technical skill sets such as Java, .NET, Data Science, DevOps, Cloud, Machine Learning and Software Development. - Proficient with Ceipal ATS systems and recruitment ...
... workflows to improve model behavior Work independently and asynchronously — fully on your own schedule Who You Are Background in Machine Learning, Computer Science, or a closely related technical field Able to articulate complex logical steps and technical reasoning clearly in writing Strong analytical thinker with a systematic, ...
... research collaborations with universities, laboratories, hospitals and research institutions. 7. Data Science & Technology Collaboration - Work closely with Data Scientists, Healthcare Scientists, Product Owners and Developers. - Translate biological requirements into technical specifications. - Support development of ...
... https://jobeax.com/link/Je3WJR8ihxqHUrlP Responsibilities :- Design and implement end-to-end ML pipelines using Kubeflow to automate model training, evaluation, and deployment workflows for our data science teams.- Integrate Langfuse into existing LLM architectures to monitor performance, track traces, and optimize prompt engineering for improved user outcomes.- ...
... https://jobeax.com/link/Je3WJR8ihxqHUrlP Responsibilities :- Design and implement end-to-end ML pipelines using Kubeflow to automate model training, evaluation, and deployment workflows for our data science teams.- Integrate Langfuse into existing LLM architectures to monitor performance, track traces, and optimize prompt engineering for improved user outcomes.- ...
... You Need to Succeed : - 10+ years of experience in QA, with at least 3+ years in a QA leadership or managerial role.- Bachelor's degree or above in Computer Science or related field with a solid foundation in computer science.- Hands-on experience in both manual and automation testing.- Proven experience in managing QA ...
... using Playwright and Python within a fast-paced SaaS environment.- Proven ability to design and execute test strategies for AI/ML-based applications, including data validation and model output verification.- Strong analytical mindset with the ability to communicate complex technical quality metrics to both technical stakeholders ...
... responsible for shaping complex, enterprise-scale infrastructure strategies. You'll design secure, resilient, and high-performing solutions across LAN, WAN, data center, cloud, and hybrid environments. The role combines deep technical expertise with strategic leadership, influencing technology standards, roadmaps, modernization ...
... actionable insights to stakeholders. Collaborate with business analysts and stakeholders to gather and analyze reporting and data needs, translating them into technical solutions. Ensure data integrity, security, and compliance across all applications and databases. Work closely with QA, Data Engineering, and other cross-functional ...
... experience in engineering environments. - At least 2 years of leadership, people management, training, or mentoring experience. - University degree in Computer Science, Engineering, or a related scientific or technical discipline preferred; equivalent combinations of education and experience may also be considered. - Strong ...
... product engineer, platform engineer, or ML-focused engineer . (We are not seeking candidates whose primary scope is CI/CD, infrastructure engineering, or pure data science.) Backend Excellence: Deep understanding of backend architecture, systems design, testing, and API development. Frontend experience is valuable but not ...
... across teams to identify reliability risks, strengthen service-level performance, and continuously improve operational excellence. Bachelor's degree in Computer Science, Engineering, or a related technical discipline. - 6+ years of experience in Site Reliability Engineering, infrastructure engineering, DevOps, systems engineering, ...
... and IT hardware including laptops, monitors, and docking stations. - Strong knowledge of incident/problem management, root-cause analysis, SLA management, technical documentation, escalation procedures, and applicable data privacy practices. - Excellent customer service, communication, analytical, and problem-solving skills, ...
... lifecycle stages such as technical discovery, pre-sales, API implementation, go-live, post-launch troubleshooting, or optimization. Ability to explain complex technical concepts clearly to both technical and non-technical audiences. Experience collaborating closely with Product, Engineering, Account Management, or Customer ...
Drupal Technical Architect Location: Remote / India Experience: 7+ years (Drupal-focused) At Specbee , we design and deliver enterprise-grade digital platforms using Drupal and open-source technologies. We partner with global brands to build scalable, high-performance, and future-ready solutions that create real business ...
... organization, making you an invaluable asset to our team. Design, deploy, and manage AWS cloud infrastructure, including EC2 instances, S3 buckets, VPCs, RDS databases, and Lambda functions. - Assist in the design, implementation, and maintenance of backup, high-availability, and disaster recovery solutions. - Develop and ...
... • Data Quality Frameworks: Design multi-layer, config-driven data quality gates that execute inline in-memory and trigger automated pipeline halts before bad data propagates. • Architectural Decision Records (ADRs): Maintain a version-controlled repository of technical decisions, documenting trade-offs, compute boundaries, ...
... across 2–3 Scrum teams within a release train, including predictability against PI and iteration objectives, sustainable throughput, and quality. Partner with Technical Leads and Scrum teams to ensure PI and sprint plans are realistic, achievable, and aligned to team capacity and skills. Ensure teams are adhering to Encompass ...