AI Commercial & ML Ops Engineer
US, Texas The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB: We are seeking a senior-level Artificial Intelligence and Machine Learning Operations Engineer to design, implement, and optimize scalable machine learning and artificial intelligence deployment pipelines that power real-world business impact. In this role, you will partner closely with Data Science, Data Engineering, and Analytics teams to ensure models are production-ready, performant, secure, and scalable across cloud platforms. You will automate and operationalize the full machine learning lifecycle, from data ingestion through retraining, while establishing best practices, governance frameworks
Data ScienceMLOpsMachine Learning Engineer
Open-Source Machine Learning Engineer - EMEA Remote
At Hugging Face , we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 11 million users who have shared more than 2M models, 700k datasets, and 600k apps. Our open-source libraries have more than 600k stars on GitHub. About the Role As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack. About You You have a public track record of o
Data ScienceOpen SourceComputer Software
Lead Data Scientist
From day one at Unobravo, we’ve been on a mission to make mental health support truly accessible to everyone by normalizing therapy, fostering openness, and breaking down the stigma that still surrounds it. Our success is driven by an exceptional team dedicated to providing high-quality, accessible care, anytime, anywhere. With over 9,000 qualified therapists and more than 7 million therapy sessions delivered, we’re proud to have made a meaningful difference in countless lives. We are looking for a Lead Data Scientist with experience in managing, mentoring, and growing the data science team, fostering a strong culture of technical excellence, ethical decision-making, and outcome-driven execution. What You'll Do Lead and shape Unobravo’s data science and machine learning strategy, driving measurable improvements in therapeutic and commercial outcomes such as patient conversion, retention, and patient–therapist matching. Own the ML/DS roadmap across multiple business functions, prioriti
Data ScienceLead Data ScientistData Science Leadership
TACSATCOM SME
Company Overview We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR). QinetiQ US ’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend. Why Join QinetiQ US ? If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where inn
Satellite Communications EngineeringSpace Systems EngineeringDefense Engineering
Senior Information Security Analyst -SecOps
InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personaliz
DeveloperInformation Security AnalystSecurity Operations Center (SOC)
Junior Google DialogFlow Engineer
Miratech is looking for a Junior Google DialogFlow Engineer to join the Bot Development team and help build next-generation conversational AI solutions across cloud platforms. Requirements Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, Dialogflow CX Craft clean, efficient, and maintainable code adhering to industry best practices and standards. Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem. Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations. Leverage natural language processing (NLP), LLM and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs. Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interaction
Dialogflow EngineerJunior AI EngineerDialogFlow Developer
Senior Machine Learning Engineer
Company A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Role As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production. You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale. This is a hands-on, high-impact role focused on depth. Focus Build core ML systems that power a proactive, long-horizon AI product. Own work end-to-end: data preparation, training, evaluation, inference, and iteration. Turn research ideas into working systems that run reliably in production. Debug model failures and system issues using real pro
Senior Machine Learning EngineerSenior ML EngineerSenior Staff Machine Learning Engineer
AI/Machine Learning Engineer Intern
Our Purpose At SentinelOne , we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne , your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our te
AI Software EngineeringMachine Learning EngineeringBackend Development
AI Researcher — Inference Optimization
Role Overview We are seeking an AI Researcher with deep experience in inference optimization to design, evaluate, and deploy high-performance inference systems for large-scale machine learning models. You will work at the intersection of model architecture, systems engineering, and hardware-aware optimization , improving latency, throughput, and cost efficiency across real-world production environments. Key Responsibilities Research and develop techniques to optimize inference performance for large neural networks. Improve latency, throughput, memory efficiency, and cost per inference . Design and evaluate model-level optimizations (quantization, pruning, KV-cache optimization, architecture-aware simplifications). Implement systems-level optimizations (dynamic batching, kernel fusion, multi-GPU inference, prefill vs decode optimization). Benchmark inference workloads across hardware accelerators. Collaborate with engineering teams to deploy optimized inference pipelines . Translate re
AI ResearcherInference OptimizationLLM Inference Optimization
AI Engineer
Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. AI Engineer Remote US Time Zones (EST–PST) Role Overview We are looking for a hands-on AI Engineer to design, build, and deploy intelligent systems across a range of client environments. This is a technically deep role suited to someone who thrives at the intersection of machine learning, software engineering, and product thinking. You will work across the full AI development lifecycle — from prototyping and model integration to production deployment and ongoing optimisation. The ideal candidate is fluent in modern AI tooling, thinks in systems, and can translate complex technical concepts into scalable, working solutions. Key Responsibilities Design and build AI-powered features, pipelines, and automation workflows from scratch Integrate and fine-tune LLMs, embedding models, and other ML systems into production applications Develop and maintain RAG pipelines, vector search systems,
Data ScienceAI EngineerArtificial Intelligence Engineer
Argentina, Belize, Colombia, Dominican Republic, Honduras, Mexico, Nicaragua, Panama, Peru Machine Learning Engineer
Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. Machine Learning Engineer (Data & AI) Remote US Time Zones (EST–PST) Role Overview We are looking for a skilled Machine Learning Engineer with a strong data engineering foundation to build, train, and deploy ML models and data pipelines across a range of complex environments. This role sits at the intersection of data and AI — you will be responsible for everything from sourcing, cleaning, and structuring data to training models, evaluating performance, and getting solutions into production. The ideal candidate thinks rigorously about data quality, understands the full ML lifecycle, and is equally comfortable working with large datasets as they are fine-tuning models or building scalable inference pipelines. Key Responsibilities Design, build, and maintain robust data pipelines for ingestion, transformation, and feature engineering Develop, train, evaluate, and iterate on machin
Data ScienceMachine Learning EngineerAI Machine Learning Engineer
Argentina, Belize, Colombia, Dominican Republic, Honduras, Mexico, Nicaragua, Panama, Peru Assistant Manager - US HR and Payroll
Interview Kickstart is a premier career transformation platform turbocharging tech careers through AI upskilling. Founded in 2014 in Santa Clara by Soham Mehta, ex-Box Engineering Leader, and Ryan Valles, a transformative P&L leader and former CEO with a track record of scaling ventures, Interview Kickstart ’s vision is to help every tech professional thrive in today’s fast-evolving tech industry. With 40+ domain-specific courses—from foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSA— Interview Kickstart equips engineers, PMs, data professionals, and tech leaders to accelerate their careers. Its 600+ instructors—industry practitioners, hiring managers, and senior engineers from FAANG+ companies—bring real-world insight and cutting-edge expertise into every classroom. Beyond upskilling, Interview Kickstart offers end-to-end career support. Personalized mock interviews, resume and LinkedIn branding, career coaching, salary negotiation guidance, an
HR OperationsUS PayrollHR Management
Data Product Manager, Curation
Rush Street Interactive (NYSE: RSI) is a market leader in online casino and sports betting, currently operating real-money gaming with our brands: BetRivers.com, PlaySugarHouse.com, and RushBet.co. We’re building bridges between online, social and land-based gaming businesses to create amazing, integrated experiences that keep players in the game. The Data Product Manager – Curation is responsible for designing and managing curated data products that power reporting, analytics, and emerging advanced analytics use cases across RSI like Machine Learning. This role focuses on building trusted, well-modeled, and well-documented data layers that translate raw source data into reusable, business-aligned datasets. The position partners closely with analytics and analyst teams as well as data and analytics engineering to improve data consistency, usability, and self-service adoption. While machine learning and advanced analytics are longer-term areas of evolution, this role lays the semantic
Data Product ManagementData EngineeringData & Analytics
Chief Analytics Officer (CAO)
Job Title: Chief Analytics Officer (CAO) Role Summary The Chief Analytics Officer leads the organization's analytics strategy, transforming data into actionable insights that drive business performance, innovation, and competitive advantage. This role focuses on advanced analytics, AI/ML, and decision intelligence to enable data-driven decision-making across the enterprise. Key Responsibilities 1. Analytics Strategy & Leadership Define and execute enterprise-wide analytics strategy aligned with business goals Position analytics as a core driver of growth, efficiency, and innovation Advise executive leadership on insights-driven decision-making 2. Advanced Analytics & AI/ML Lead development of predictive, prescriptive, and machine learning models Drive AI/ML adoption across functions (marketing, risk, operations, finance) Ensure scalability and productionization of analytics models 3. Business Intelligence & Insights Oversee BI platforms, dashboards, and reporting framework
Chief Analytics OfficerAnalytics LeadershipData Science Leadership
Machine Learning Engineer — Multilingual Data
We’re looking for a Machine Learning Engineer to own and scale our multilingual data pipeline —from sourcing and curation to evaluation and continuous improvement. You’ll work closely with researchers and infra engineers to ensure our models perform robustly across languages, scripts, and cultural contexts. This role sits at the intersection of data, research, and production ML and is ideal for someone who cares deeply about data quality, linguistic diversity, and model generalization beyond English. What You’ll Do Design, build, and maintain large-scale multilingual datasets across high- and low-resource languages Develop data pipelines for collection, cleaning, normalization, deduplication, and labeling Implement quality filters using statistical, heuristic, and model-based methods Work with researchers to define language coverage, benchmarks, and evaluation metrics Analyze dataset bias, coverage gaps, and failure modes across regions and scripts Support training, fine-tuning, and d
Data ScienceMachine Learning EngineerMultilingual AI Specialist
ASG Support Technician II
Company Overview At Motorola Solutions , we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview DRN, a subsidiary of Motorola Solutions , is a pioneer in video analysis. We are a leading global provider of data and image analytics, specializing in vehicle location intelligence. Our platform leverages machine learning, artificial intelligence, and a massive network of mobile License Plate Reader (LPR) cameras to provide critical data to public safety and commercial sectors. By maintaining the world’s largest shareable database of vehicle location information, we
Customer ServiceTechnical SupportIT Support