Average salary: Rs294,000 /yearly
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- ...and motivated AI Architect for designing, developing, and implementing artificial intelligence... ...Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree... ...), APIs, and microservices.- Knowledge of big data processing tools (e.g., Hadoop,...Big Data
- ...solutions to get much more value out of our data. We help our business colleagues all over... ...visualizations. We manage more than 46 AI & Big Data Applications, 3.000 active users, 87 countries... ...will have the opportunity to design and develop solutions, contribute to roadmaps of Big...Big DataHybrid workWork at office
- ...Generative AI, and traditional ML to solve enterprise-scale problems. Build and maintain RAG (Retrieval-Augmented Generation) workflows and data pipelines using Python and vector databases. Refine model outputs through prompt engineering, fine-tuning, and latency optimization....SuggestedFull time
- Role : Data Engineer (PySpark, SQL, GCP)Experience : 6+ YearsLocations : Indore , Raipur , Gurgaon , BangaloreJob Description :We are looking for experienced Data Engineers to build and optimise scalable data pipelines and data models using modern data engineering practices....SuggestedHybrid work
Rs 7 - 14 lakhs p.a.
...critical environments. The ideal candidate should have experience in developing, training, and deploying deep learning models for object... ...Python NumPy Pandas Object-Oriented Programming Data Data Annotation Dataset Preparation Data Augmentation...SuggestedFull timeRs 3 - 6.1 lakhs p.a.
...About the Role We are looking for an MLOps Developer to own the model lifecycle, deployment pipelines, and operational health of this AI system. You will bridge the gap between model development and production, ensuring models are reliably trained, versioned, deployed...SuggestedFull timeRemote job- ...At SoftwareOne, we help organizations unlock the value of cloud, data, and AI through innovative technology solutions. We are looking... ...time inference, batch processing, and model-serving use cases. Developing secure and reliable APIs and services that expose AI...SuggestedFull time
- ...on expertise in building production-grade AI applications using LLMs, RAG, and AI Agent frameworks.Key Responsibilities :- Design and develop GenAI applications using commercial and open-source LLMs.- Build scalable RAG pipelines and AI agent workflows.- Develop APIs and...SuggestedFull time
- ...Solution Architecture & Technical PresalesResponsibilities : - Design AI/ML & GenAI solution architectures.- Build LLM and Agentic AI applications.- Develop POCs and scalable AI solutions.- Lead technical discussions, solution design, and presales activities. (ref:hirist.tech)Suggested
- ...high-availability environments. Responsibilities: Design and develop scalable, secure RESTful and event-driven services in Python.... ...sportsbook, casino, wallet, and player lifecycle modules. Ensure data consistency, idempotency, and transactional integrity across...SuggestedWork at office
€ 4 per week
Tech Lead — AI-Enabled Engineering EngineerBabu | Indore, India | Full-time, In-Office | 4–8 Years Experience About EngineerBabu We build products that ship. EngineerBabu is a Google AI Accelerator 2024 company (top 20 globally), CMMI Level 5 certified, with 75+ YC-backed...SuggestedFull timeWork at office- ...closely with Engineering, QA, and DevOps teams to drive automation excellence and improve release quality.Key Responsibilities:- Design, develop, and maintain scalable API automation frameworks using Python.- Perform end-to-end testing of cloud-native applications deployed on...Suggested
- ...cloud platforms.- Strong understanding of cloud deployment validation, system reliability, and application stability.- Experience in developing and maintaining scalable automation testing frameworks.- Good understanding of the Software Testing Life Cycle (STLC) and Agile...Suggested
- ...Python Infrastructure Engineer / Backend Platform Engineer to design, develop, and enhance a new Device Boot Service. The service will manage... ...requests through REST APIs, persist request and device data in a database, execute long-running boot/provisioning operations...Suggested