AI/ML Engineer

Join Data Eminence as a remote AI/ML Engineer and contribute to designing, developing, and deploying intelligent applications powered by artificial intelligence and machine learning. You will work on data preprocessing, model development, predictive analytics, generative AI integrations, model evaluation, and AI-powered application features.

The ideal candidate has a strong foundation in Python, machine learning, mathematics, and software development. This role provides hands-on experience with modern AI frameworks, large language models, data pipelines, model deployment, and intelligent application development.

Full Description

At Data Eminence , we use artificial intelligence and data-driven technologies to develop practical solutions for real-world challenges. As an AI/ML Engineer, you will collaborate with developers, analysts, and technical teams to build machine learning models and integrate intelligent functionality into applications.

Your responsibilities will include:

• 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 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 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.

We believe in learning by doing. You will gain practical experience with Python, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, SQL, Jupyter Notebook, LLM APIs, prompt engineering, embeddings, vector databases, RAG, REST APIs, Docker, cloud platforms, and AI development tools .

This is a hands-on AI engineering role where you will develop intelligent features, experiment with machine learning models, integrate AI services, and gain practical experience building AI-powered applications.

Requirements

• 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.
• 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.

Benefits

• Competitive salary based on skills and experience.
• Fully remote work flexibility.
• Paid time off and holidays.
• Professional development and learning opportunities.
• Company-provided equipment where applicable.
• Exposure to modern AI, machine learning, and cloud technologies.
• Opportunities to work on real-world AI-powered applications.
• Supportive and collaborative remote work environment.