////// CONTEXT Within Dedienne Aerospace Group, one of the strategic priority is to develop the after sales services business. The Services Business Unit aim to ensure great customer relationship and maintain tooling serviceability and availability along
Overview Join a highly advanced AI infrastructure team focused on building and optimizing large-scale machine learning systems. This environment leverages cutting-edge technologies to enable high-performance experimentation, scalable model deployment, and efficient processing of large datasets. The
Key Responsibilities: Manage the product life cycle of automotive components. Utilize Creo and Windchill CAD design and detailing skills. Provide manufacturing engineering support. Offer application engineering support. Apply GD&T and perform tolerance stack-up analysis. Demonstrate basic
DESCRIPTION Key Responsibilities: Manage the product life cycle of automotive components. Utilize Creo and Windchill CAD design and detailing skills. Provide manufacturing engineering support. Offer application engineering support. Apply GD&T and perform tolerance stack-up analysis. Demonstrate
EGNYTE YOUR CAREER. SPARK YOUR PASSION. Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 23,000 customers worldwide and growing,
Must Haves: Strong python engineering/ data science experience 2-3 years of experience building FastAPI based backend applications at least 1 year of experience in building AI agents and agent workflows RAG implementations end to end Plusses:
Job Post :- Senior Data Engineer Experience :- 7+ years Timing :- Approx. 5:30 PM/6:30 PM IST to start, then 8 hours a day (Basically EST time zone) Location :- Remote (India) Contract Duration :- 6 Months
The Role: We are hiring a Senior Machine Learning Engineer to own the ML layer of an early-stage generative video product end-to- end. The role covers model selection and benchmarking, building the core generative agents, the video
Position Overview The Engineer, Artificial Intelligence supports the development and deployment of advanced artificial intelligence solutions. This role focuses on implementing solutions that leverage Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and
About FlexyPe FlexyPe is the full-stack infrastructure for eCommerce — powering identity, cart, checkout, and post-purchase experiences for 500+ D2C brands. We process ₹300 Crores+ GMV, have a 100M+ shopper identity network, and were profitable and
Design, implement Azure data solutions Migrations to Azure using services such as Data Factory, Synapse, Databricks, Function App, and ADLS Migrate legacy SSIS packages to Azure cloud Integrate data from multiple sources using Python, SQL, Databricks,
The Sr. ML Engineer will work directly with our Data Science Director to develop, refine, and productionize machine learning models that score healthcare claims against liability signals from legal, P&C, and other data sources. This role requires
About Strand Life Sciences Strand is a 23-year-old spin-off from the Indian Institute of Science and one of India’s foremost genomics companies, serving a global customer base across clinical diagnostics, pharma, and translational research. We build
Work experience: 2-3 years Location: Hyderabad (Balanagar area) Job type: Full-time, Permanent, On-site Domain: Defence – Robotics, Autonomous Systems, IoT Systems, Fire Control Systems, and Training Simulators Mandatory Requirement: This role is strictly focused on end-to-end
About the Role We are hiring an Agentic AI Engineer to build and ship production AI systems as part of BayOnes AI Strategy and Innovation Office. The role sits within a collaborative, distributed engineering team and contributes
Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech
Role : ML OPS Lead Engineer Job Mode : Remote Experience : 7+ Years Notice Period : Immediate / 10 to 15 Days Experience Required: 7+ years in platform or infrastructure engineering with significant experience in ML
Cableteque comprises an international team with expertise in wire interconnects, CAD deployments, data exchange protocols, and AI. Our team is located worldwide, including the US, India, & Europe. This allows us to assemble diverse perspectives, comprehensive
Position Overview The Structural Engineering Designer will support the analysis, design, and preparation of structural plans for residential and light commercial buildings across the United States. This role involves working closely with licensed Professional Engineers (PEs), architects,
Job Summary As a Mid-Level Cyber Security Splunk Administrator, you will manage and optimize our Splunk SIEM environment to support security operations, data onboarding, use case development, and performance tuning. You will collaborate with security, infrastructure,