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AI/ML Engineer

Palm Mind Ai — Nepal · Posted ~3 hours ago

Mid Full-time

Skills

Machine learning Deep learning AI model development ML pipelines Data preprocessing Model training Model validation Model deployment Data analysis Structured and unstructured data Production AI integration

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Summary ✨ AI‑Generated

Design, develop, and implement machine learning and deep learning solutions for real-world business challenges. You will build end-to-end ML pipelines for preprocessing, training, validation, and deployment; analyze large structured and unstructured datasets; improve model performance; and integrate AI models into production systems. The role offers broad exposure to full-stack AI delivery and diverse client use cases.

Highlights

Opportunity to design and deploy practical AI and machine learning solutions for diverse business needs. The role covers the complete ML lifecycle, from data preparation and model training through validation, deployment, and integration into production environments, with exposure to varied industry use cases.

Description

Company Description Palm Mind AI specializes in delivering customized AI and machine learning solutions tailored to the specific needs of each client. With over eight years of experience, the company is a trusted partner for start-ups and enterprises across more than ten industry verticals worldwide. Palm Mind AI builds full-stack AI systems, integrates third-party platforms, and applies forward-deployed engineering to address complex business challenges. The team focuses on cost-effective, scalable solutions that help organizations turn their AI visions into practical, high-impact outcomes. 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 2-4 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.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.