Machine Learning Engineer Salary at Fractal Analytics Inc BETA

Overview: We are looking for a talented AI/ML Engineer to join a forward-thinking digital transformation team within a global manufacturing organization. This is a high-impact role focused on designing, developing, and implementing AI and machine learning solutions that enhance operations, improve customer experiences, and optimize business performance. This opportunity is ideal for someone with hands-on experience in developing AI/ML models, deploying solutions in Azure, and working with cutting-edge technologies like large language models (LLMs). Key Responsibilities: Identify and evaluate opportunities to apply AI/ML across a variety of domains, including manufacturing, IoT devices, and customer engagement platforms. Build scalable machine learning models tailored to solve specific business challenges. Work with complex datasets to extract insights and inform model development. Leverage Microsoft Azure cloud tools for model training, deployment, and monitoring. Develop and integrate

About the job Machine Learning Engineer We are supporting a client in the Risk and Insurance industry in the search for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full-stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring. You will be joining an innovative division of based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences. What You'll Do: Empower our team of data scientists to rapidly develop and deploy ML solutions. Leverage so

About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world’s leading brands Solve complex problems – and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innova

Machine Learning Engineer (Training Infrastructure) We’re looking for a Machine Learning Engineer to help design, scale, and optimize the backbone systems that power advanced AI models. If you're passionate about building distributed training pipelines and enabling breakthroughs in machine learning, this role offers the chance to work on infrastructure that truly matters. This is a fast-moving environment, focused on making foundational models practical and efficient for real-world use. We're a tight-knit, highly technical team building next-gen systems for AI development. You’ll work in a collaborative setting, surrounded by engineers who thrive on solving systems challenges and shipping impactful solutions. As a Machine Learning Engineer, your work will directly impact how quickly and effectively machine learning models are trained—from compact models with specific purposes to massive multimodal systems. You’ll focus on maximizing compute efficiency, building scalable training platfo

¿Te interesaría seguir desarrollándote como Machine learning Engineer en una empresa líder en proyectos para sectores como automoción, industria, medicina…)? Desde Oxigent Technologies seleccionamos un/a ML ENGINEER para participar en un proyecto innovador del área de automoción, ubicado en el Vallés Oriental. ¿Cuáles serán tus funciones principales? Análisis y tratamiento de datos para extraer patrones y generar conocimiento aplicable a sistemas inteligentes. Investigación, exploración y aplicación de modelos de Machine Learning y Deep Learning. Desarrollo de algoritmos para monitorización en cabina, optimizados para sistemas con recursos limitados (CPU, memoria). Automatización de procesos mediante scripting reutilizable y orientado a objetos (Python). Presentación clara y visual de resultados utilizando librerías de visualización como Plotly o Seaborn. Preparación de demostraciones funcionales para clientes o stakeholders. Desarrollo de interfaces gráficas para visualización en tiem

AI/ML Engineer Type: Direct Hire Work Setting: Onsite Location: Elgin, IL We are seeking an experienced AI/ML Engineer to join an established and forward-thinking organization focused on innovation and operational excellence. This role will be instrumental in designing and deploying AI/ML solutions that enhance business processes and drive strategic value. Key Responsibilities: Identify and implement AI/ML opportunities across various business functions. Develop, train, and deploy scalable machine learning models. Leverage cloud services (primarily Azure) for end-to-end model lifecycle management. Apply large language models (LLMs) to real-world use cases. Collaborate with stakeholders to define project requirements and align solutions with business goals. Requirements: 5+ years of professional experience in AI/ML or data science. Proficiency in Python or R and familiarity with ML frameworks (e.g., TensorFlow, PyTorch). Experience with Azure Machine Learning and related cloud tools. Ha

Machine Learning Engineer Sunnyvale,California,United States Machine Learning and AI Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users. **Description** Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In th

About 10a Labs: 10a Labs is an applied research and AI security company trusted by AI unicorns, Fortune 10 companies, and U.S. tech leaders. We combine proprietary technology, deep expertise, and multilingual threat intelligence to detect abuse at scale. We also deliver state-of-the-art red teaming across high-impact security and safety challenges.About The role: Were looking for an ML engineer with a strong foundation in traditional ML and hands-on experience applying those skills to modern LLM systems. This is an applied role for someone who owns the full ML lifecyclefrom data pipelines and model training to evaluation, deployment, and ongoing iteration in real-world production environments.In This Role, You Will:Build and deploy a multi-stage classification system optimized for high throughput and low latency, while ensuring high recall and precision.Integrate continuous feedback loops from human review to refine model performance.Design and implement real-world ML systems with a fo