AI/ML Engineer

About the Role

Join Data Eminence as a remote AI/ML Engineer to design, develop, and deploy intelligent applications powered by artificial intelligence and machine learning. This role involves hands-on experience with modern AI frameworks, large language models, data pipelines, model deployment, and intelligent application development.

Key Responsibilities

• Collect, clean, preprocess, and analyze datasets.
• Develop and train machine learning models.
• Implement classification, regression, clustering, and prediction algorithms.
• Perform feature engineering and data transformation.
• Evaluate model performance using appropriate metrics.
• Experiment with model architectures and hyperparameter tuning.
• Work with deep learning frameworks for AI applications.
• Integrate AI models into backend services and REST APIs.
• Explore large language models and generative AI applications.
• Develop AI-powered workflows using external model APIs.
• Assist with prompt engineering and retrieval-augmented generation (RAG) systems.
• Build reusable data-processing and machine learning pipelines.
• Monitor model performance and identify opportunities for improvement.
• Optimize inference performance and application reliability.
• Collaborate with software developers to integrate AI functionality.
• Maintain documentation for models, experiments, and workflows.
• Follow responsible AI practices, including data privacy and model evaluation.
• Research emerging AI technologies and development approaches.

Requirements & Tech Stack

• Strong programming skills in Python.
• Understanding of machine learning fundamentals.
• Knowledge of supervised and unsupervised learning.
• Basic understanding of statistics, probability, and linear algebra.
• Familiarity with NumPy, Pandas, and Scikit-learn.
• Knowledge of TensorFlow or PyTorch is a plus.
• Understanding of model training, evaluation, and optimization.
• Familiarity with REST APIs and backend integration.
• Basic knowledge of SQL and databases.
• Familiarity with generative AI or LLM APIs is an advantage.
• Understanding of Git and GitHub.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Ability to work independently and collaborate effectively in a remote environment.
• Experience with Jupyter Notebook, LLM APIs, prompt engineering, embeddings, vector databases, RAG, Docker, cloud platforms, and AI development tools will be gained.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or a related field.
• 0–2 years of experience in AI, machine learning, data science, or relevant projects.