... Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience using very large datasets - Experience working as a BIE in a technology company - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software - ...
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge ...
Role & Responsibilities :- Translate ambiguous business and product problems into well-defined data science and machine learning problems, with clear success metrics and evaluation criteria.- Apply statistical analysis and experimentation techniques to support data-driven decision-making, including hypothesis testing, A/B ...
... overlap with US Pacific Time on most workdays. Overview About Pravāh Pravāh is an AI lab building foundational intelligence for the electric grid. We apply modern machine learning to complex physical infrastructure problems spanning grid operations, weather, and geospatial systems. Our work sits at the intersection of computer ...
... you bring- - 5+ years of hands-on software development experience with strong backend, full-stack foundations with Data science. - Experience applying AI and machine learning techniques to operational telemetry, logs, metrics, traces, or enterprise workflow automation. - Proven experience integrating LLMs (OpenAI, Anthropic ...
... opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to 'Leave a Mark'. Brainstorm and implement creative approaches to make learning engaging and enjoyable. Support internal delivery teams with tailored training initiatives to improve delivery excellence. Track training effectiveness, learner ...
... Kroll, your work will help deliver clarity to our clients' most complex governance, risk, and transparency challenges. Design, research, implement, and evaluate machine learning solutions spanning traditional ML, deep learning, NLP, and LLM/GenAI applications Build and fine-tune models — from gradient-boosted trees and classical ...
Translate ambiguous business and product problems into well-defined data science and machine learning problems, with clear success metrics and evaluation criteria.- Apply statistical analysis and experimentation techniques to support data-driven decision-making, including hypothesis testing, A/B testing, and causal analysis.- ...
... - Assist in the design, development, and deployment of AI models and applications. - Conduct research to stay updated with the latest advancements in AI and machine learning. - Collaborate with senior engineers to integrate AI solutions into existing products and services. - Participate in code reviews and contribute to ...
... medications. You have professional experience working on a team turning ideas into reliable, maintainable code — and ideally, you are eager to apply AI and machine learning to make healthcare more accessible, affordable, and personalized. We believe in using a small number of well-known tools like AWS, Python, Javascript, ...
... including Vertex AI, GKE, and LLMOps. The ideal candidate will design, build, and optimize ML pipelines, enabling scalable, reliable, and secure deployment of machine learning models in https://jobeax.com/link/rH0yu1ler9U2ioyx Responsibilities : - Design and implement end-to-end ML pipelines leveraging GCP services (Vertex ...
... including Vertex AI, GKE, and LLMOps. The ideal candidate will design, build, and optimize ML pipelines, enabling scalable, reliable, and secure deployment of machine learning models in https://jobeax.com/link/rH0yu1ler9U2ioyx Responsibilities : - Design and implement end-to-end ML pipelines leveraging GCP services (Vertex ...
... separation. Ensure HR policy adherence and suggest improvements as per market standards. Support talent acquisition processes in collaboration with the HR Manager. Learning & Development (L&D) Coordinate team-building and outbound learning initiatives to enhance engagement and collaboration. Performance Management Execute and monitor ...
... estates, migrate workloads without breaking the business, modernize what is worth modernizing, and run all of it with intelligence baked in. Our platform pairs machine learning with real-time operational data to automate work that has historically required armies of consultants and months of risk. We are looking for a high-energy, ...
... RAG, and Agentic AI . - Strong Python programming skills. - Experience with LangChain, LlamaIndex, vector databases , and LLM evaluation. - Strong knowledge of Machine Learning, NLP, Deep Learning , and model lifecycle management. - Experience with at least one cloud platform: AWS, Azure, or GCP . - Experience with Docker, ...
... development programs aligned with business priorities Drive capability-building initiatives for high potentials, critical role successors, and women leaders Foster a learning culture through innovative interventions like coaching, mentoring, and digital learning tools Collaborate with senior leaders and HR teams to identify gaps ...
... cross-functional teams , ideally in remote environments. Preferred Qualifications - Experience working with large-scale, distributed codebases . - Familiarity with AI or machine learning systems . - Experience participating in rigorous code reviews . - Background contributing to software engineering best practices . Compensation & Engagement ...
Job Summary/Purpose : L&D and Service Excellence manager plans, organizers, monitors, coordinates and conducts training activities effectively in order to upgrade the performance of our colleagues.
... Programming language is not a barrier for the engineers in our team, we work on C#, javascript and Java fluently. Some of the solutions needed us to explore Machine learning and that's part of our core product now and is being used by many of our customers. Independently responsible for the entire lifecycle of features ...
After Sales Service Engineer The role is focused on handling installation, commissioning, and servicing of secondary packaging machines such as conveyors, shrink bundling machines, case erectors, case packers, and sealers. The job requires practical, hands-on work at customer sites and ensuring that machines run smoothly ...