Data Engineer Jobs in Kannur
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Search Results - Data Engineer Jobs in Kannur
EazyMLKannur
This is a full-time Remote role for an experienced Data Engineer who enjoys solving complex data problems and takes ownership from design through delivery. You can work from home (anywhere in INDIA, job location is in India).
This role is ideal for someone who can...
Reflections Info SystemsKannur
supply chain, and merchandising into technical deliverables.
• Facilitate communication between our internal technical teams (data engineers, BI analysts) and the client’s retail executives, ensuring alignment on project goals.
• Manage sprint planning...
GoMLKannur
Build goML’s Mid-Market and Enterprise Pipeline
At goML, we build Generative AI, AI/ML, Cloud, and Data Engineering solutions that help enterprises solve complex business problems and accelerate their AI transformation.
We are looking for a Sales...
PrentisKannur
for designing, building, and deploying AI agents that serve diverse educational and research use cases. You will work directly with researchers and data engineers to bring AI research out of the lab and into the hands of users.
Responsibilities: End-to-End...
Randstad EnterpriseKannur
Director role is to partner with BI stakeholders within RSR (who can include but not limited to Data engineering, BI Support Teams, Operational Teams, Internal teams and RSR clients) and provide business solutions through data.
This position has...
Innodata Inc.Kannur
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology...
RecroKannur
Full Stack, QA, Cloud, DevOps, AI/ML, and Data Engineering .
Excellent stakeholder management, negotiation, communication, and relationship-building skills.
A proactive, ownership-driven professional who thrives in a fast-paced, cross-functional...
Creative Synergies GroupKannur
Establish leadership in evolving technological disciplines including Digital Twins, and Industry 4.0 for Plant/ Process engineering and discrete manufacturing
Expand technological leadership in Cloud Technologies, AI/ML, Data Engineering and Intelligent...
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