ML Ops Engineer

Job Summary:AI/ML Engineer will drive AI innovation in the EdTech industry, managing the end-to-end development of machine learning pipelines, deploying models into production, and overseeing MLOps operations for AI solutions. This role involves leading AI teams, collaborating with data scientists and engineers, and driving AI adoption in business...

Key ResponsibilitiesAI, LLM & NLP DevelopmentBuild and deploy AI models using LLM, NLP, and RAG techniques.Perform prompt engineering or fine-tuning using platforms like OpenAI, Hugging Face, or open-source models.Develop chatbots with multi-turn conversational memory.Create sentiment analysis models using ML/DL methods.Explore, clean, and prepare data for...

ResponsibilitiesEvaluate LLMs and AI services for quality, safety, performance, and costDesign evaluation frameworks, test cases, and monitoring for AI featuresBuild and maintain backend services and APIs integrating LLM workflowsDevelop AI-powered features such as RAG pipelines, chat systems, and automation toolsImplement embeddings, vector search,...

The Role: As a Senior Solutions Architect (AI/ML), you will partner with enterprise customers to design, implement, and scale machine learning and generative AI solutions in the cloud. You will be a trusted advisor, guiding organizations on how to build secure, high-performance, and cost-efficient AI platforms that accelerate business outcomes.Key...

Responsibilities:Support the design and development of data pipelines for AI and machine learning workflows.Assist in building, training, testing, and evaluating ML models in collaboration with senior engineers.Work with large structured and unstructured datasets, ensuring data quality and readiness.Prepare training datasets and implement data...

Job OverviewAI/ML Engineer will drive AI innovation in the EdTech industry, managing the end-to-end development of machine learning pipelines, deploying models into production, and overseeing MLOps operations for AI solutions. This role involves leading AI teams, collaborating with data scientists and engineers, and driving AI adoption in business...

Key ResponsibilitiesDesign and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in productionWork collaboratively with data scientists along the machine learning lifecycle...

Key Responsibilities:Design and implement scalable, high-performance data architectures supporting analytics, reporting, and AI/ML workloadsLead the development and optimization of Snowflake-based lakehouse solutions, including schema design, cost and performance tuningAct as a technical authority on Snowflake, advising stakeholders on architecture best...

หน้าที่และความรับผิดชอบ (Responsibilities)1) การพัฒนา AI / LLM / NLPพัฒนาและปรับใช้โมเดล AI ด้วยเทคนิค LLM, NLP และ RAGทำ Prompt Engineering หรือ Fine-tuning กับโมเดล เช่น OpenAI, HuggingFace

OverviewWe are looking for anAI Engineerto design, build, and optimize AI capabilities that power our products and internal systems. This role focuses heavily on Generative AI, NLP, and end-to-end LLM integration, with some responsibilities in data analysis to support model evaluation and product insights.Key ResponsibilitiesLLM / AI DevelopmentDesign,...