ML Engineer Jobs in International

Role: ML Engineer Location: Sunnyvale CA or Austin TX (hybrid - 3x/ week onsite) Duration: 6 months1. Experience with Kubernetes AWS and deploying Microservices 2. Experience with MLOps 3. Experience with Python

Key Responsibilities: Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection. Develop optimize and maintain computational models for debit transaction anomaly detection using AI/ML techniques. Perform data analysis generate insights and ident...

Mandatory Skills: designing and developing AI/ML applications and LLM JAVA Spark.sound knowledge on GEN AILLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vector databases (FAISS Pinecone ChromaDB). Detailed Description: Experienced AI/ML Engineer with expertise in Machine Learning...

Location: RemoteEmployment Type: Full-timeExperience: 3 years Job SummaryWe are looking for an experienced AI/ML Engineer to research develop and optimize AI language models for text generation and semantic search. The ideal candidate will work on embedding models inference optimization and distribu...

Greetings from Maneva! Job Description Job Title - Machine Learning Engineer Experience - 5 -15 days Location - Bangalore ( Kodathi) Notice - Immediate to 60 days Job Summary: We are seeking a highly skilled and versatileSenior Machine Learning Engineerwho embodies the rare combination of a stron...

ob Summary: We are seeking a highly skilled AI Applied Engineer to design develop and implement innovative digital solutions powered by Artificial Intelligence. The ideal candidate will bridge the gap between data science and engineering-transforming AI models into scalable production-ready applicat...

Job Title: AI/ML EngineerExperience: 8 YearsLocation: California United States Job Type: C2C W2Visa Eligibility: H1B GC USC H4 candidates can applyAbout the RoleWe are seeking an experienced and innovative AI/ML Engineer to design develop and deploy advanced machine learning deep learning and AI sol...

We want to expand our Data Science function further within our well-established strong data-driven Centralised Analytical department. Our Data Science mission is to build machine learning models in the production environment relative to Marketing Customer Insights and Safer Gambling and establish a...

Essential FunctionsLead and mentor a team of engineers focused on developing advanced AI and machine learning solutions.Design implement and optimize low latency and high throughput systems that are highly available and scalable.Drive architecture decisions and best practices for deploying machine l...

Roles & Responsibilities :About the RoleWe are looking for a highly skilled Data/ML Engineer to design and maintain secure scalable and high-performance data pipelines and ML infrastructure. The ideal candidate will have strong expertise in Python SQL data processing frameworks ETL pipelines and MLF...

Jitterbit is seeking Senior backend engineers to join our AI team. Jitterbit is an iPaaS (Integration as a Service) LCAP and API Management platform which has been recognized in Gartner MQ for seven straight years. Our customers utilize our Low-code iPaaS APIM LCAP and B2B platform to address missio...

We are seeking a highly skilled and experienced Systems Engineer preferably with experience in the food and beverage or life sciences industries.As a key member of Granteks Engineering team you will be developing real-time automation solutions from the manufacturing plant floor to the enterprise lev...

About the TeamTraining Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale were building a unified modular runtime that meet...

About the TeamTraining Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale were building a unified modular runtime that meet...

Job Description:Mandatory SkillsStrong proficiency in Generative AI Large Language Models (LLMs) deep learning agentic frameworks and RAG setup.Experience in designing and implementing machine learning models using scikit-learn and TensorFlow.Hands-on expertise with AI/ML frameworks such as Hugging...

Youll be part of ML Lifecycle team in MLPT that provides platform for ML model training evaluation and workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requir...

As a software engineer on the MLPT Compute Platform team you have the following responsibilities:Lead the architecture design development and operations of systems designed for running machine learning workloads across all of Apples platforms and devices. These may include but not limited to data ma...

Youll be part of ML Lifecycle team in MLPT that provides platform for ML model training evaluation and workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requir...

This team owns the data and data platform to support all Perception model training and validation as well as system validation beyond Perception. The platform supports sample curation data mining data labeling and ML dataset management. High-quality data and efficient data flywheel are central to ML...

This team owns the data and data platform to support all Perception model training and validation as well as system validation beyond Perception. The platform supports sample curation data mining data labeling and ML dataset management. High-quality data and efficient data flywheel are central to ML...