Hiring: Senior Machine Learning Engineer (Remote) Hello Everyone, We’re actively seeking a Senior Machine Learning Engineer for one of our esteemed clients. This is a remote opportunity with an organization that champions empathy-led innovation and cutting-edge technology services. Our client is a global leader in digital transformation, known for its commitment to product innovation and mature software engineering . Their core values— Respect, Fairness, Growth, Agility, and Inclusiveness —guide their culture and daily operations. As they continue to scale their capabilities in digital strategy, architecture, and product management, they’re looking for top-tier talent to join their journey. Role Overview Experience Required: Proven experience in designing, developing, and deploying ML models in production environments Hands-on expertise in recommendation systems, pattern recognition, NLP, or time series modeling Strong proficiency in Python (preferred), with experience in Java or C/C++ Familiarity with large-scale software architecture, APIs, and model versioning systems Core Skills: Deep expertise in Python and ML frameworks like PyTorch, TensorFlow, or scikit-learn Experience with cloud ML platforms (Azure ML, GCP, AWS SageMaker) Solid grasp of ML algorithms: classification, regression, SVMs, ARIMA, ensemble methods, deep learning Strong foundation in probability theory and statistical modeling Knowledge of DevOps/MLOps tools: CI/CD, GitHub Actions, Terraform, Docker, Kubernetes Excellent communication skills for both technical and non-technical audiences Collaborative mindset with cross-functional teams (engineering, analytics, product) Ability to work independently in remote or hybrid environments Preferred Skills: Advanced understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs) Experience with GPU-accelerated computing (CUDA, Rapids, NeMo, NIM) Skilled in model evaluation, distributed training, and hyperparameter tuning Familiarity with Big Data streaming and in-memory databases (Spark, Kafka, Redis, Elastic Search) Proficient in automated workflows and containerization (GitHub Actions, Terraform, Helmet, Docker, Kubernetes) Strong background in API and microservices development Experience with real-time AI/GenAI/ML solutions and databases Knowledge of responsible AI/ML practices, model interpretability, and fairness auditing Education: Bachelor’s or Master’s in Computer Science, Applied Mathematics, Engineering, or related field PhD preferred Specialization in applied ML, MLOps, or ML systems is a plus Experience: Minimum 5+ years Note: This is an urgent requirement , and preference will be given to immediate joiners . If you’re interested or know someone who might be a great fit, please share your resume at profiles@nuvanko.com #MachineLearning #NLP #CloudML #DeepLearning #RemoteJobs #AI #ML #HiringNow #GenAI #GenerativeAI #GenerativeArtificialIntelligence #ML #PyTorch
Role Overview: You have the opportunity to join an organization that is dedicated to empathy-led innovation and advanced technology services. As a Principal Engineer with expertise in .Net and Artificial Intelligence, you will be part of a global leader in digital transformation, focusing on product innovation and mature software engineering. The core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide the culture and operations of this organization as they continue to enhance their capabilities in digital strategy, architecture, and product management. Key Responsibilities: - Build scalable and fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. - Develop secure and well-documented public APIs and SDKs for use by internal and external developers. - Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. - Implement robust security controls to safeguard sensitive data and enable secure access to AI services. - Participate in design reviews, code reviews, and architectural discussions to uphold engineering excellence. - Mentor junior developers, promote continuous learning, and contribute to fostering a culture of innovation. - Collaborate with multiple teams to develop AI solutions, including AI model deployment, training, and AI tooling development. Qualification Required: - More than 7 years of experience in software engineering, with a preference for platform or cloud-native service development using Microsoft and .NET technologies. - Hands-on experience with Microsoft Azure and related PaaS services such as Azure Functions, AKS, and API Management. - Strong expertise in RESTful API design, versioning, testing, and lifecycle management. - Proficiency in securing APIs, managing authentication/authorization, and data privacy practices. - Excellent problem-solving skills with the ability to analyze complex technical challenges and propose scalable solutions. - Experience working in Agile teams and collaborating across global R&D locations. - Demonstrated ability to mentor junior team members to promote a culture of continuous learning and innovation. - Demonstrated experience with AI frameworks, tools, and Python. - Experience in working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration tools. - Knowledge of AI ethics and regulations, commitment to responsible AI development, and experience in working with various ML algorithms. - Proficiency in Python and AI frameworks/tools such as PyTorch and TensorFlow. - Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). - Experience with AI orchestration tools like AI Foundry and Semantic Kernel, as well as automated testing and evaluation of AI outputs. If you are interested or know someone who would be a great fit for this role, please share your resume at profiles@nuvanko.com.,