Nuvanko Solutions Private Limited

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