... development and production cloud environments. This role goes beyond conventional application testing. Our platform combines graph data stores, graph analytics, machine learning models, and agentic AI workflows — systems whose outputs are probabilistic, whose correctness is contextual, and whose decisions carry regulatory weight. ...
... testing strategies - Comfort taking ambiguous problems and turning them into shipped, reliable systems - Experience working in agile teams (Scrum or Kanban) Machine learning background, such as model integration, feature engineering, or applied ML in a fraud, risk, or trust context Frontend experience (React or similar) ...
... Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee ...
... The opportunity In a plan to strengthen and extend our footprint in EY Enterprise Technology we are looking for a proven Hyperconverged Infrastructure (HCI) Engineer to support and evolve EY's HCI platforms globally. The role will provide engineering, operational support, automation and lifecycle management for Microsoft ...
... shaping the future of healthcare with AI Explore opportunities at https://jobeax.com/link/l2ilzLBJSLK6rA75 and drive innovation with #YouToThePowerOfAI. The AI Engineer is an ML engineer responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that ...
Location Name: Pune Corporate Office - Mantri The MLOps Engineer will own the end-to-end operationalisation of machine learning, large language model (LLM), and agentic AI workloads on the Bajaj Finance Enterprise Data Platform — a 5PB+ medallion lakehouse built on Azure Databricks and Unity Catalog. This role sits at the ...
... Language: Advanced proficiency in Python with a strict adherence to Object-Oriented Programming (OOP) principles, clean coding standards, and design patterns. Machine Learning Libraries: Advanced proficiency in scikit-learn (sklearn) for data preprocessing, feature engineering, and baseline modelling. Deep Learning Frameworks: ...
... Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee ...
... hands-on experience in AI/ML engineering or backend systems. Proficiency in Python. Proven track record of building scalable backend services or APIs. Expertise in machine learning, deep learning, and Generative AI concepts. Hands-on experience with LLM platforms (e.g., Deep understanding of and hands-on experience with agentic ...
... development, testing, and maintenance of enterprise-grade software systems deployed on public cloud platforms, including AWS and Azure. Familiarity with AI and machine learning technologies, advanced UI development using ReactJS, and hands-on banking domain experience—especially KYC/AML solutions—is highly sought. This role ...
... complex problems into production-grade data science solutions. Our program spans fintech product development, digital transformation, process automation with machine learning, business intelligence, data governance, and generative AI. You will work alongside an advanced data science and engineering team — and collaborate ...
... LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Weaviate). Architect scalable AI systems on cloud platforms (AWS Sagemaker, GCP Vertex AI, or Azure Machine Learning) using services such as BigQuery, DynamoDB, Kubernetes (EKS/GKE/AKS), and serverless functions. Collaborate with cross-functional teams to productionize ...
Role Overview :As a Python Engineer specializing in MLOps, you will be at the forefront of building and scaling production-grade machine learning pipelines. You will work closely with data scientists, infrastructure engineers, and product stakeholders to bridge the gap between experimental models and robust, scalable deployments. ...
... ultimately impacting how our clients leverage data to achieve operational https://jobeax.com/link/7AbzEoKq1QWAaTBq Responsibilities:- Architect and deploy end-to-end machine learning solutions that address specific business challenges and improve predictive accuracy for our clients.- Develop and integrate Generative AI models and ...
... deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and ...
... Engineer Develop and enhance data digitization and AI augmented metadata extraction pipelines, model evaluation frameworks, and integration components Hands-on experience with Python, machine learning, NLP, prompt engineering, and AI application development is required Tell us about your experiences, education, and ambitions.
... forefront of developing intelligent solutions that optimize network performance and enhance customer engagement. You will work closely with cross-functional engineering teams, product managers, and data architects to translate complex business requirements into robust machine learning models. Your work will directly influence ...