Remote Machine Learning Engineer - Full-Time

Join Our Innovative Team at Smart WorkingAt Smart Working Solutions, we understand that a job should not only appear fulfilling on paper but should also resonate with your daily experience. This is more than just a remote position; it’s about discovering a workplace where you truly belong, regardless of your location. From your first day, you will be embraced by a supportive community that prioritizes your personal and professional growth.Our mission is straightforward: to dismantle geographical barriers and connect talented professionals with exceptional global teams and products in full-time, long-term positions. We help you find meaningful work with teams that are committed to your success, empowering you to evolve both personally and professionally.Experience the benefits of working at one of the top-rated workplaces on Glassdoor and immerse yourself in a thriving remote-first environment.The Role of a Machine Learning EngineerAs a Machine Learning Engineer, you will be pivotal in designing, developing, and sustaining production-grade machine learning systems that significantly enhance customer experience and drive commercial success. You will concentrate on deploying low-latency and scalable ML services that support ranking models, recommendation systems, and forecasting solutions across our platform.In collaboration with Data Scientists, Product Managers, and Engineering teams, you will bridge the gap between experimentation and production, ensuring that models are dependable, resilient, and prepared for scaling in a dynamic, data-driven landscape. This position offers long-term responsibilities, a chance for significant influence, and the opportunity to shape both the technical direction and best practices in machine learning.

For over two decades, Smartsheet has empowered individuals and teams to accomplish remarkable feats. From efficient work management to innovative, scalable solutions, we have consistently embraced the flow of progress. We are developing tools that enable teams to automate repetitive tasks, extract meaningful insights, and scale operations intelligently. More importantly, we are fostering an environment where big ideas can flourish, decisive actions can be taken, and impactful work can be realized. When challenges meet purpose and passion fuels progress, that’s when the magic happens—and that’s our everyday commitment.We are seeking a Senior Machine Learning Operations Engineer to architect and oversee the machine learning production lifecycle. Your primary responsibility will be to deploy and maintain ML models within a scalable, reliable, and secure production environment. You will design and uphold the infrastructure, automation, and monitoring systems that ensure our AI products perform optimally and are cost-effective.You will report to the Director of Analytics Engineering & Data Governance based in our Bellevue, WA office but can work remotely from any location in the US where Smartsheet is registered as an employer.Your Responsibilities Will Include:Model and Pipeline AutomationAutomate the deployment and retraining of ML models, managing complete CI/CD/CT (Continuous Training) pipelines in accordance with MLOps best practices.Build, fine-tune, or utilize pre-trained LLMs, deep learning models, or traditional machine learning models.Evaluate and recommend AI or ML solutions for our products using a mix of vendor solutions and custom-built models.Governance & ComplianceImplement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.Performance MonitoringContinuously monitor the health and performance of production machine learning models, proactively identifying and rectifying model drift, staleness, and performance degradation.Incorporate user feedback for ongoing improvements and manage necessary model retraining cycles.Cross-Functional CollaborationAct as a crucial link between Data Scientists who create models and Software Engineers who implement them.Collaborate effectively with software engineers, product managers, and business functions to integrate machine learning solutions across Smartsheet.

Join us at Capco as a Full Machine Learning Stack Engineer, where you will have the opportunity to work on cutting-edge technology solutions that drive business transformation. We are looking for an innovative and passionate engineer who thrives in a fast-paced environment and is eager to tackle challenging problems using machine learning.

Join IDT Corporation, a premier communications and financial services provider established in 1990 and based in New Jersey, USA. As a global leader in prepaid communication and payment solutions, we rank among the largest international voice carriers worldwide. Our company, listed on the NYSE, employs over 1,700 professionals across 20+ countries and generates revenues exceeding $1.5 billion.We are seeking a talented Machine Learning Engineer to become a vital member of our Business Intelligence team. In this role, you will engage in the design, construction, and upkeep of robust data pipelines, architecture, and designs that fuel our data warehouse, LLM-driven applications, and AI-centric business intelligence solutions. This position offers exceptional flexibility in your choice of work location! * The interview process will be conducted in English.

Join Continental as an IT Engineer specializing in Machine Learning, where you will leverage cutting-edge technologies to enhance our innovative solutions. As part of our dynamic team in Bengaluru, you will work on developing and implementing machine learning models, contributing to projects that have a significant impact on the automotive industry.

Join our dynamic team at Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.

Join our dynamic team as a Machine Learning Engineer, working with one of Weekday's esteemed clients.Salary range: ₹2,500,000 - ₹3,000,000 (INR 25-30 LPA)We are on the lookout for a talented Machine Learning Engineer who is passionate about developing and optimizing intelligent systems designed to enhance personalized user experiences. This role involves creating recommendation engines, retrieval systems, and data-driven AI solutions that allow users to easily discover relevant content, connections, and insights. You will work at the cutting edge of machine learning, data engineering, and applied AI, designing scalable systems that utilize real-time data, embeddings, and advanced algorithms. The ideal candidate will thrive on tackling complex problems, developing production-grade ML systems, and transforming data into impactful user experiences.

Join Our Team as a Machine Learning Engineer: Are you passionate about harnessing the power of artificial intelligence to solve real-world problems? At egen, we are seeking a talented Machine Learning Engineer to design and implement cutting-edge AI applications. Bring your expertise in software engineering and machine learning to create scalable solutions that deliver value to our clients. Key Responsibilities:Leverage a minimum of 5 years of experience to architect and deploy AI solutions that are secure, scalable, and high-performing.Utilize your knowledge of Document Extraction, Conversational AI, Vision AI, NLP, or Generative AI in your projects.Enhance and operationalize existing ML models through fine-tuning and personalization.Evaluate and optimize machine learning models to ensure peak performance.Craft effective prompts for Large Language Models (LLMs) to elicit relevant and accurate outputs.Collaborate with data scientists and engineers to preprocess datasets, including tasks such as data cleaning, transformation, and augmentation.Conduct comprehensive analyses to assess LLM responses and iteratively refine prompts for improved outcomes.Engage in hands-on customer interactions with Retrieval-Augmented Generation (RAG) solutions and LLM model fine-tuning.Build and deploy robust machine learning pipelines on Google Cloud Platform (GCP) or equivalent cloud services, integrating data warehouses, ML platforms, dashboards, and CRM tools.Manage all phases of machine learning projects including data cleaning, exploratory data analysis, outlier management, and data distribution analysis.

Join Nagarro as a Staff Engineer specializing in Machine Learning. In this role, you will leverage cutting-edge technologies to build innovative machine learning solutions that enhance our product offerings and drive business success.

Join Nagarro as a Staff Engineer specializing in Machine Learning, where you'll play a crucial role in developing innovative solutions that leverage advanced machine learning techniques. Your expertise will contribute to designing, implementing, and optimizing cutting-edge algorithms that enhance our product offerings and drive business value.

Join Level AI, a pioneering startup based in Mountain View, CA, dedicated to transforming the Voice AI landscape. Supported by leading venture capitalists and industry experts, our mission is to enhance the customer sales experience for businesses through groundbreaking innovations in speech AI, natural language processing (NLP), and information retrieval systems. As a vital member of our team, you will play a crucial role in shaping the future of AI within the business sector. Collaborating closely with a skilled group of technologists, you will tackle a diverse range of challenges that arise in this exciting field. Our team brings experience from renowned companies such as Amazon Alexa and Google, empowering you to explore innovative solutions as we strive to connect customers and businesses like never before.

Join Schrödinger as a Full Stack Machine Learning Developer and help us enhance human health and quality of life through cutting-edge computational methodologies!As a vital member of our machine learning team, you'll develop platforms and interfaces enabling scientists to navigate complex datasets related to DNA, RNA, small molecules, materials design, and quantum physics. No prior experience in these specific fields is necessary, but a strong desire to learn and grow is essential.This role is perfect for:An engineer passionate about creating end-to-end web applications, from designing databases to refining user interfaces.A problem solver who excels at converting intricate scientific needs into user-friendly, high-performance software solutions.A versatile developer familiar with modern JavaScript frameworks (such as React, Vue, or TypeScript) and Python backend technologies.An effective communicator who thrives in a collaborative, interdisciplinary team setting.Your responsibilities will include:Working closely with scientists, researchers, and designers to deliver robust web applications aligned with business and product objectives.Designing and implementing scalable RESTful APIs and microservices to support intricate scientific workflows.Creating responsive and interactive front-end interfaces to visualize multi-dimensional scientific data.Engaging in a code review culture that promotes learning, high code quality, and adherence to security best practices.Contributing to the architectural design of systems that integrate heavy computational backends with user-facing applications.

Join our innovative team at HackerRank as a Machine Learning Engineer, where you'll play a crucial role in developing cutting-edge machine learning models. This position is ideal for individuals passionate about artificial intelligence and eager to contribute to groundbreaking projects in a collaborative environment.

Elevate Your Career with Loopio! Loopio is in search of a talented and experienced Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) and large language models. This pivotal role involves developing and operationalizing advanced machine learning components that enhance our innovative search, summarization, and answer generation functionalities. You will collaborate extensively with Applied Scientists, Product Managers, and Engineering teams to transition advanced models from prototype to stable, scalable production systems.Collaboration will span teams located in Canada, the UK, and India, necessitating working hours from [11 am - 7:30 pm IST] to accommodate different time zones. Key ResponsibilitiesAdvanced Modeling & Applied ScienceCreate and implement large language models and NLP solutions for tasks including retrieval, summarization, classification, and generative processes by developing optimized embedding pipelines and fine-tuning strategies, ensuring robust performance in production.Enhance model accuracy and reliability through structured evaluation frameworks, systematic error analysis, and iterative experimentation for consistent outcomes over time.System Architecture & EngineeringDesign and deploy scalable ML services and inference pipelines using Python and modern ML frameworks, implementing efficient serving strategies to meet latency, reliability, and performance standards.Integrate models with retrieval systems, feature stores, and knowledge bases, applying strong engineering practices in automated testing and operational readiness for durable ML systems.Participate in foundational architectural decisions balancing model complexity with performance and maintainability.Delivery, Collaboration & LeadershipTranslate complex product requirements into structured engineering plans, collaborating closely with Product, Engineering, and Applied Science teams to align expectations and eliminate obstacles.

Role overview The Lead Machine Learning Engineer at NielsenIQ plays a central role in guiding a team of engineers and overseeing machine learning projects from initial idea through to completion. Collaboration with colleagues from various backgrounds is key, as the team works together to transform complex data into useful insights for the business. What you will do Mentor and lead a group of machine learning engineers Manage machine learning initiatives, focusing on technical excellence and meeting project deadlines Collaborate with teams across different functions to understand business requirements and create tailored solutions Use data analytics and machine learning techniques to produce insights that support decision-making Location This role is based in Vadodara.

Nielsen Company is seeking a Lead Machine Learning Engineer to join the team in Bengaluru. This individual contributor role centers on building advanced machine learning solutions that shape products and services throughout the organization. Key responsibilities Design and deploy scalable machine learning models for practical use cases Collaborate with teams from different functions to embed machine learning into core offerings Use deep knowledge of machine learning to inform data-driven decisions Location This position is located in Bengaluru.

Founded in 1998, Inovalon is dedicated to transforming the healthcare ecosystem through the power of technology and data, enhancing both outcomes and economics. We believe that our customers’ successes directly contribute to improved healthcare, which is why we focus on providing data-driven solutions that promote their missions.United as ONE Inovalon, we are committed to addressing the most pressing needs in healthcare through a culture of inclusion and innovation. Our efforts create value not only for our clients but also for the millions of patients and members they serve.About Us:As a pioneering healthcare technology company, Inovalon is on a mission to revolutionize the industry with innovative AI and machine learning solutions. We aim to leverage advanced technology to enhance health outcomes and streamline healthcare operations. We are currently looking for a highly skilled Senior Machine Learning Software Development Engineer in Test (SDET) to ensure the quality, reliability, and safety of our ML-powered healthcare products.Job Description:In the role of Senior Machine Learning SDET, you will design, implement, and maintain robust testing frameworks and quality strategies for machine learning systems throughout their lifecycle. You will collaborate closely with data scientists, ML engineers, software engineers, and product managers to validate models, data pipelines, and ML-driven services in production environments. Your contributions will play a crucial role in ensuring our ML solutions are accurate, efficient, secure, and compliant with healthcare standards, ultimately enhancing patient care and operational efficiency.

Founded in 1998, Inovalon stands at the forefront of transforming the healthcare ecosystem through the power of technology and data. We are committed to enabling our clients' success by providing innovative, data-driven solutions that enhance healthcare outcomes and economics. At Inovalon, we believe that our growth is intrinsically linked to the success of our customers, which is why we focus on empowering them with comprehensive insights and actionable solutions.As a unified team at Inovalon, we are dedicated to addressing the most pressing challenges in healthcare. Our mission-driven culture fosters inclusion and innovation, creating value for not only our clients but also the millions of patients and members they serve.About Us:Inovalon is a premier healthcare technology firm that is revolutionizing the healthcare landscape with state-of-the-art AI and machine learning solutions. Our mission is to harness cutting-edge technology to improve health outcomes and streamline healthcare processes.Role OverviewAs a Machine Learning Operations (MLOps) Engineer, you will be instrumental in designing, building, and managing the infrastructure and tools that enable comprehensive ML workflows on AWS platforms, including SageMaker, Bedrock, and Snowflake Cortex. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure that models are robust, secure, and scalable in production environments.Key ResponsibilitiesDesign, implement, and maintain CI/CD pipelines for ML models and data workflows utilizing AWS-native services and infrastructure-as-code.Operationalize models developed on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and continuous monitoring.Create and oversee data pipelines and feature stores using AWS Glue, Lambda, Step Functions, and Snowflake.Establish observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and define service-level objectives (SLOs) and service-level agreements (SLAs) for production ML services.Automate environment provisioning, configuration, and dependency management across development, testing, and production environments.Collaborate with security and compliance teams to ensure ML workloads adhere to healthcare, privacy, and regulatory standards, including HIPAA.Work alongside ML engineers and data scientists to transition notebooks and prototypes into robust, maintainable services.Contribute to best practices, standards, and documentation for ML platforms and operations throughout the organization.

About the RoleWe are seeking a proactive and skilled Senior Machine Learning Engineer ready for an immediate start. This role blends robust machine learning expertise with backend infrastructure knowledge, essential for transitioning models from research to dependable, scalable production systems. You will be at the forefront of innovation in generative video AI while applying MLOps methodologies to ensure efficient operation at scale.In this position, you will collaborate closely with backend, platform, and content teams to create high-performance machine learning components that meet rigorous standards for quality, latency, and throughput.Key ResponsibilitiesTrain, fine-tune, and assess generative video and multimodal models (including image-to-video, text-to-video, lip-sync, and character consistency).Develop and manage comprehensive ML pipelines encompassing data ingestion, preprocessing, training, evaluation, and versioning.Oversee model deployment and serving infrastructure, focusing on containerization, GPU-optimized inference, model registries, and rollout strategies.Implement MLOps best practices such as experiment tracking, model monitoring, drift detection, A/B testing, and observability.Design and maintain scalable inference systems tailored for low latency, high throughput, and economical GPU utilization.Devise caching and batching strategies to achieve SLA targets in production video generation workflows.Partner with backend engineering teams to integrate ML services into distributed systems.Contribute to the long-term roadmap, including foundational model training strategies, LoRA fine-tuning pipelines, and multi-character generalization.

Join Our Team at ParspecFounded in 2021, Parspec is transforming the material procurement landscape for the $13 trillion USD construction sector by digitizing and organizing product data. Our proprietary AI technology offers a comprehensive and up-to-date catalog of millions of products, allowing our clients to effortlessly identify the best products that suit their needs. Trusted by leading designers, builders, distributors, and sales agents, and supported by top venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction.Become a part of our mission to develop groundbreaking technology that reshapes one of the world’s oldest and largest industries.The RoleWe are on the lookout for a skilled and enthusiastic Machine Learning Engineer to become a vital member of our AI team. In this role, you will be instrumental in designing, developing, and deploying state-of-the-art machine learning models, including solutions based on Natural Language Processing (NLP) and Large Language Models (LLMs). You will tackle complex data science challenges while collaborating closely with product, engineering, and business teams to deliver impactful AI-driven features.This is a unique chance to be at the forefront of innovation, utilizing advanced AI technologies to disrupt an industry ready for digital transformation.Key ResponsibilitiesAI System DevelopmentCreate and develop Computer Vision, NLP, and Recommendation Systems tailored for our applications.Conduct research and implement innovative deep learning architectures to address challenging data science problems.Develop, train, and deploy scalable and extensible deep learning and machine learning models.Full Product Lifecycle EngagementWork alongside product managers, UX designers, and end-users to seamlessly integrate software and AI components into fully functional systems.Engage in the complete product lifecycle—from conceptual design to development, integration, testing, and deployment.Building Scalable SolutionsDevelop products capable of efficiently handling large volumes of data while ensuring high scalability for new client onboarding.Design comprehensive end-to-end data and ML pipelines for smooth integration into production environments.