Senior ML/AI Engineer/Remote

Job Description- Senior ML/AI Engineer (100% Remote) Job Summary We are seeking a highly skilled Senior ML/AI Engineer to design, develop, and deploy scalable machine learning and artificial intelligence solutions. This fully remote role involves building production-grade AI systems, collaborating with cross-functional teams, and driving innovation across data, automation, predictive analytics, and generative AI initiatives. Key Responsibilities • Design, build, and deploy machine learning and AI models for business and product applications. • Develop scalable ML pipelines, data processing workflows, and model deployment solutions. • Train, fine-tune, evaluate, and optimize machine learning and deep learning models. • Collaborate with data scientists, software engineers, product managers, and DevOps teams. • Implement MLOps best practices for model monitoring, versioning, CI/CD, and automation. • Work with large datasets and cloud-based AI/ML platforms. • Develop APIs and services for AI model integration into applications. • Optimize model performance, scalability, and inference efficiency. • Conduct research and stay current with emerging AI/ML technologies and frameworks. • Mentor junior engineers and contribute to technical architecture decisions. • Maintain documentation and ensure compliance with security and data governance standards. Required Skills • Strong experience in machine learning, deep learning, and AI model development. • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. • Experience with NLP, computer vision, recommendation systems, or generative AI technologies. • Knowledge of MLOps tools and deployment frameworks. • Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Familiarity with Docker, Kubernetes, and distributed systems. • Strong understanding of data structures, algorithms, and software engineering principles. • Experience with SQL, NoSQL, and big data technologies is a plus. Qualifications • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. • Experience deploying production AI systems at scale. • Relevant certifications or open-source contributions are a plus. Preferred Experience • Experience with Large Language Models (LLMs) and generative AI applications. • Exposure to vector databases, RAG architectures, or AI agents. • Experience in SaaS, fintech, healthcare, e-commerce, or enterprise AI environments. • Remote/distributed team collaboration experience. Soft Skills • Excellent communication and collaboration skills. • Strong analytical and problem-solving abilities. • Self-motivated with the ability to work independently in a remote environment. • Strong documentation and presentation skills.