of intelligent systems. Requirements Senior AI/ML Engineer (6–10 years) Location Hyderabad Remote Experience Level: Senior, 6..., TensorFlow MLOps: Docker, CI/CD pipelines Cloud platforms: AWS, Azure AI application essentials: RAG with embeddings/vector...
Senior Generative AI Engineer Senior Generative AI Engineer ABOUT FLUTTER ENTERTAINMENT: Flutter Entertainment... AI Engineer, you will play a critical role in shaping the software development lifecycle (SDLC) of AI products—guiding them...
Senior Generative AI Engineer Senior Generative AI Engineer ABOUT FLUTTER ENTERTAINMENT: Flutter Entertainment... AI Engineer, you will play a critical role in shaping the software development lifecycle (SDLC) of AI products—guiding them...
beyond what’s known today. ABOUT THE ROLE Role Description: We are seeking a Principal Machine Learning Engineer—Amgen’s most senior... AI developer experience. Roles & Responsibilities: Engineer end-to-end ML pipelines—data ingestion, feature engineering...
engineers, and other stakeholders to deliver AI-driven solutions. Implement robust MLOps practices for continuous integration...
automated testing, CI/CD pipelines, deployment, and monitoring with strong MLOps and DevOps practices. Embrace and use state...
, and fully integrate data across the enterprise. Skills: Kubernetes Operators, Golang, Python, Java, , MLOps, LLMOps, Agentic... Develop high-performance services in Golang Define and build MLOps/LLMOps pipelines (model hosting, serving, monitoring...
pipelines (MLOps), and monitoring tools. Up-to-date with new advances in NLP, LLMs and agent-frameworks. Strong grasp...
architecture, standards, and best practices for model design, training, and validation. Oversee MLOps and CI/CD integration.... Expertise in Python, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks. Experience with MLOps, MLflow, Databricks...
, and enthusiasm for learning DevOps/MLOps Interest in AI infrastructure, including concepts like vector search, RAG pipelines...
experiments, online monitoring, drift detection, bias analysis, and feedback loops. Implement MLOps best practices, including...
-driven applications integrating ML models. Knowledge of Docker, Kubernetes, and Terraform. Exposure to MLOps pipelines...
pipelines, deployment, and monitoring with strong MLOps and DevOps practices. Troubleshoot live site issues as part... AI models in cloud environments. MLOps & LLMOps: Strong experience with MLOps workflows (CI/CD, monitoring, retraining pipelines...
retrieval/indexing, evaluation, safety controls; MLOps practices; model/feature registries; reproducibility; guardrails...
, and proof of concepts using a cutting-edge technical stack Design and implement analytics pipelines leveraging MLOps practices... and interpretable insight and impact Experience with Databricks platform for data analytics and MLOps Strong communication skills...
of AI innovation. As a Senior Lead Applied AI Engineer, you'll influence technology strategy, deliver impactful solutions, and help...-Augmented Generation (RAG), AI/Agents, NLU/NLP, Large Language Models (LLM), MLOps, CI/CD, SDLC. Preferred Qualifications...
of AI innovation. As a Senior Lead Applied AI Engineer, you'll influence technology strategy, deliver impactful solutions, and help...-Augmented Generation (RAG), AI/Agents, NLU/NLP, Large Language Models (LLM), MLOps, CI/CD, SDLC. Preferred Qualifications...
of AI innovation. As a Senior Lead Applied AI Engineer, you'll influence technology strategy, deliver impactful solutions, and help...-Augmented Generation (RAG), AI/Agents, NLU/NLP, Large Language Models (LLM), MLOps, CI/CD, SDLC. Preferred Qualifications...
Design and implement analytics pipelines leveraging MLOps practices Collaborate with data engineers on data quality... and impact Experience with Databricks platform for data analytics and MLOps Strong communication skills – capable...
AI applications and enhancing existing systems with Generative AI capabilities. We are seeking an AI Engineer to help us with the... (e.g., OpenAI Evals, Langsmith Evals, etc.) Feature stores, data versioning (e.g., Feast, DVC), and MLOps workflows...