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Role Overview As a Senior Software Engineer – Gen AI Agentic, you will be a core contributor to the design and development of intelligent, autonomous agents powered by Generative AI. This is a hands-on engineering role…
Key Responsibilities: Design, develop, and maintain ETL (Extract, Transform, Load) processes to ensure the seamless integration of raw data from various sources into our data lakes or warehouses. Utilize Python,…
Dymasco est un expert de l'Industrie 4.0 . Nous nous spécialisons dans la transformation numérique des systèmes de production. En tant que partenaire officiel de Dassault Systèmes, nous offrons des solutions sur…
This is a remote position. Role Summary As a Lead Data Scientist, you will design, build, and scale data science solutions that drive measurable business impact. You’ll lead model development and deployment across…
This is a remote position. About Us AccuKnox provides a Zero Trust Cloud Native Application Security (CNAPP) platform. AccuKnox is the core contributor to Kubernetes Run-time security solution, KubeArmor®, a very…
AI Engineer — NLP (Conversational Fleet Analytics) Level: Mid to senior About the role V-Assistant is a conversational AI system running in production on Velocitor's VTrack fleet management platform. Users ask…
Role Overview: We are hiring a Senior AI Engineer / Applied Scientist to build and scale ML systems powering ecommerce search, retrieval, and personalization. This is an 80% ML Engineering role focused on production…
Duties & Responsibilities Hands-on experience in designing, developing and deploying AI/ML/NLP/GenAI/Agentic AI solutions (involving modeling, benchmarking and inferencing) at enterprise scale for e-commerce.…
Hands-on experience in designing, developing and deploying AI/ML/NLP/GenAI/Agentic AI solutions (involving modeling, benchmarking and inferencing) at enterprise scale for e-commerce. Hands-on experience in building,…
Duties & Responsibilities Translate business requirements into scalable and well-documented ML pipelines and AI solutions using Databricks, Azure AI, and Snowflake. Architect and implement scalable GenAI solutions…
Duties & Responsibilities Translate business requirements into scalable and well-documented ML pipelines and AI solutions using Databricks, Azure AI, and Snowflake. Define and drive the strategic roadmap for GenAI…
StatusNeo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core. We work with global enterprises across BFSI, retail, healthcare, airlines, and…
About StatusNeo: StatusNeo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core. We work with global enterprises across BFSI, retail,…
Remote senior role designing and building generative AI applications on AWS — Amazon Bedrock foundation models, RAG pipelines with Bedrock Knowledge Bases, Guardrails, and custom models on SageMaker — integrated into production apps via orchestration frameworks like LangChain and LlamaIndex, while mentoring associates on AI/ML best practices.
Transparency matters! While we’re not actively hiring for a Solution Architect at this moment, we’re always excited to connect with talented professionals who share our vision for innovation. If you're passionate…
Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in…
About Re:Build At Re:Build, our mission is to ensure the next generation of important products are made, at scale, in America. We are laying the foundation for a better future for our customers, employees, and…
Lavozim vazifalari: Python dasturlash tilida AI/ML (Sun’iy intellekt va mashinali o‘qitish) yechimlarini ishlab chiqish. LLM (Large Language Models), Generative AI va RAG (Retrieval-Augmented Generation)…
Junior Data Scientist at Sberbank Insurance (Moscow, hybrid) building generative AI solutions for insurance business processes: developing LLM-based AI agents and RAG systems, prompt engineering, EDA and ML model development in Python (PyTorch, pandas, scikit-learn), and integrating solutions with corporate systems.
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