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Senior AI/ML Engineer

Palm Mind Ai — Nepal · Posted ~1 hour ago

Senior Full-time

Skills

machine learning deep learning AI/ML pipelines data preprocessing model training model validation model deployment data analysis production AI integration model monitoring Machine Learning Deep Learning

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Summary ✨ AI‑Generated

As a Senior AI/ML Engineer, design and deploy machine learning and deep learning solutions for varied business needs. You’ll build end-to-end pipelines, analyze structured and unstructured data, integrate models into production systems, monitor performance, and research emerging AI technologies while collaborating with developers and stakeholders.

Highlights

Senior AI/ML role delivering customized solutions across multiple business domains, with opportunities to work on end-to-end machine learning pipelines, production AI systems, research, and performance optimization.

Description

Company Description Palm Mind AI specializes in delivering customized AI/ML solutions tailored to the unique needs of clients, backed by over 8 years of industry experience. Serving start-ups and enterprises across 10+ verticals, the company is known for driving innovation and scalability on a global scale. Role Description Design, develop, and implement machine learning and deep learning models.Build and maintain AI/ML pipelines for data preprocessing, training, validation, and deployment.Analyze large datasets to extract insights and improve model performance.Work with structured and unstructured data for predictive and analytical solutions.Integrate AI/ML models into production environments and applications.Collaborate with software developers, and stakeholders to understand business requirements.Monitor model performance and retrain models when necessary.Conduct research on emerging AI/ML technologies and recommend improvements.Prepare technical documentation and reports related to AI solutions.Ensure data security, scalability, and system reliability in AI implementations. Qualifications 3-5 years of hands- on experience in AI/ML development.Design and develop AI/ML models for generative and agentic AI systems (LLMs, RAG pipelines, autonomous agents, etc.)Build and optimize AI-driven workflow automation solutions.Lead end-to-end ML model development lifecycle: data collection, pre-processing, training, evaluation, deployment, and monitoring.Collaborate with software engineers to integrate ML models into real-world applications.Evaluate open-source and commercial LLMs and tools for integration.Mentor junior engineers and contribute to establishing best practices in AI/ML development.Stay updated with the latest research and trends in AI/ML and incorporate relevant advancements into our solutions.