Hiring: Senior Machine Learning Engineer Company: SoTalent Location: United States Job Posted Time: 2026-09-16 16:38:20 Employment Type: Remote Target Skills & Keywords : AWS, Azure, CI/CD, GCP, Java, Large Language Model, MLOps, MLflow, Machine Learning, NLP, PyTorch, Python, RAG, SageMaker, Scala, Stakeholder Management, TensorFlow About the job Experience: •5+ years of experience in Machine Learning Engineering, MLOps, AI Platform Engineering, or related technical roles. Required Skills: •ML Engineering, MLOps, and AI Platform Development •Design, automate, and orchestrate end-to-end machine learning workflows across cloud-based and enterprise AI platforms. •Develop and maintain model registries, artifact repositories, and governance processes to support reproducibility and compliance requirements. •Build and manage CI/CD pipelines for machine learning applications, including automated data validation, model testing, deployment, and monitoring. •Implement and optimize MLOps solutions using industry-standard machine learning platforms and frameworks. •Design, develop, and maintain scalable ML pipelines supporting predictive analytics, recommendation engines, and AI-powered applications. •Engineer retrieval and knowledge-based AI systems, including semantic search, embeddings, vector search, hybrid retrieval, and large language model integrations. •Develop solutions leveraging search, vector database, and graph database technologies to support intelligent data retrieval and discovery. Qualifications: •Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, or a related field. •3-5+ years of experience in Machine Learning Engineering, MLOps, AI Platform Engineering, or related technical roles. •Strong programming expertise in Python and experience with object-oriented programming languages such as Java or Scala. •Hands-on experience deploying and managing machine learning solutions in production environments. •Solid understanding of machine learning concepts, statistical analysis, model development, and natural language processing techniques. •Knowledge of search technologies, vector databases, graph databases, and information retrieval systems. •In-depth knowledge of the machine learning lifecycle, including feature engineering, model training, validation, deployment, and monitoring. •Operational familiarity with large-scale distributed data processing technologies and data engineering concepts. •Strong analytical, troubleshooting, communication, and stakeholder management skills. •Expertise with ML lifecycle tools such as MLflow, SageMaker, Azure Machine Learning, or equivalent platforms. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!