... performance optimization (token usage, caching), and system observability across CI/CD pipelines and cloud/on-prem environments.- Collaborate with Product Managers, AI/ML engineers, and business stakeholders to translate requirements into technical solutions.- Mentor junior developers and contribute to a culture of innovation ...
... performance.- Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model ...
... and application development.- Experience integrating AI/ML models or services into production applications.- Understanding of model serving, inference APIs, and AI/ML integration.- Exposure to Generative AI, LLMs, RAG, or AI-powered applications is a plus.- Familiarity with AI/ML frameworks and MLOps practices is https://jobeax.com/link/LsYkW9tp9dyevFEc ...
... production IaaS procedures and practices, including managed AI/ML services (e.g., Bedrock/SageMaker, Azure OpenAI, Vertex AI) Experience with Kubernetes and containerization is welcome; experience serving models or deploying inference/GPU workloads is a plus Be transparent about challenges, failures, and successes, including ...
... engineering and applied artificial intelligence. As an AI/ML Engineer Intern, you will work with the product and technology team on healthcare-focused AI use cases and gain exposure to generative AI, multimodal systems, medical models, and production-oriented workflows. Responsibilities: - Build and experiment with AI/ML capabilities ...
... Prompt Engineering, and AI solution design.- Experience designing enterprise-scale AI, data, cloud, and integration architectures.- Hands-on experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems.- Strong understanding of MLOps, data pipelines, API integrations, and modern AI application ...
... performance.- Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model ...
... performance.- Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model ...
... building intelligent systems, working with large datasets, and developing scalable AI/ML https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Build, train, and optimize Machine Learning and AI models- Work on data analysis, feature engineering, and model evaluation- Develop scalable AI/ML pipelines and workflows- ...
About the Role PSYC Aerospace & Defence Industries is looking for an AI/ML & Test Engineering Intern to work alongside our engineering team on the development, testing, and validation of AI-driven software and autonomous systems. This is a hands-on engineering role. You will assist with AI/ML experimentation, dataset preparation, ...
... our AI solutions deliver consistent, high-value outcomes for our global enterprise https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities : - Design and maintain scalable automation frameworks using Playwright and Python to validate complex SaaS workflows and UI components.- Develop specialized test suites for AI/ML models ...
... Science, Machine Learning, or related field.- 6+ years of experience in data science and AI/ML model development.- Expertise in NLP, deep learning, and advanced ML frameworks (TensorFlow, PyTorch).- Hands-on experience with Generative AI and Agentic AI.- Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization ...
... Cloud Platform (GCP), including services such as Cloud Run, Cloud Functions, GKE, BigQuery, Cloud Storage and Pub/Sub. - Good hands-on experience implementing AI/ML solutions in production using frameworks/tools such as TensorFlow, PyTorch or scikit-learn, with understanding of MLOps practices. - Strong understanding of ...
I. Detailed Role Description:We are looking for a highly skilled and visionary Data Science Team Manager (AI/ML) to lead a team of data scientists and machine learning engineers. This role is responsible for driving AI/ML initiatives that solve complex business problems, building scalable models and ensuring successful ...
... structures, OOP, exception handling. API Integration: Consuming REST APIs (e.g., Azure SDKs). Data Processing: Using pandas, NumPy, and json for data manipulation. AI/ML Libraries: Familiarity with scikit-learn, transformers, or OpenAI SDKs. Required Skills on React Component-Based Architecture: Building reusable functional ...
... latency, throughput, GPU utilization, and cost.- Support cloud, on-premises, hybrid, and air-gapped https://jobeax.com/link/72xljNf4GfrhBYcv Skills:- 3 - 5 years in MLOps, LLMOps, ML Engineering, or AI Engineering.- Strong Python.- Hands-on Databricks and/or Azure ML.- Experience with Deep Learning, LLMs, SLMs, RAG, and Hugging ...
... documentation updated and version-controlled in SharePoint. Skills Must have Technical: 4+ years of hands-on experience in Development using q/KDB in financial domain Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real-world problems is a definite plus Functional: ...
This is a remote position. This is a generic application. This is a Paid Service for Training with assured job placement options (remote jobs). Training - Data Analytics (ML) / Data Visualization / AI ML Python AI ML, Python Training - IT Cybersecurity VAPT, SOC IR/Splunk/ELK, DevSecOps/AppSec, DFIR/Forensics Training - ...
... Build and own data pipelines feeding the models and analytics; - Ensure data integrity, enrichment, and real-time readiness for AI application; - Operationalize AI/ML models in real-time tools (e.g., Salesforce, Marketo, Clay). How about You - 4-6 years proven experience as a Full Stack Developer or similar role; - Experience ...