AIML Engineer

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate will have a strong foundation in Python, machine learning algorithms, data processing, and model development, with an interest in building scalable AI-driven applications.

This role is suitable for entry-level candidates, recent graduates, and mid-level professionals with hands-on academic, project, internship, or professional experience in AI/ML.

• Develop, train, test, and deploy machine learning models.
• Apply supervised and unsupervised learning techniques to business problems.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Build predictive and classification models using Python and ML frameworks.
• Work with structured and unstructured datasets.
• Evaluate model performance using appropriate metrics and validation techniques.
• Develop and integrate AI/ML solutions into production applications.
• Work with data scientists, software engineers, and business teams to define requirements.
• Implement model optimization and improve accuracy, scalability, and reliability.
• Develop APIs and services for integrating ML models into applications.
• Monitor deployed models and troubleshoot performance issues.
• Maintain documentation for models, datasets, experiments, and technical processes.
• Stay current with developments in generative AI, NLP, computer vision, and machine learning.

Entry Level:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, or a related field.
• Strong knowledge of Python.
• Understanding of machine learning concepts and algorithms.
• Knowledge of data structures, statistics, and basic mathematics.
• Experience with libraries such as Num Py, Pandas, Scikit-learn
  , or similar.
• Academic projects, internships, or personal projects in AI/ML are highly valued.
• 2–5 years of experience in AI/ML, data science, software engineering, or a related field.
• Experience developing and deploying machine learning models.
• Strong Python programming and ML framework experience.
• Experience working with cloud platforms and production ML systems is preferred.

• Programming: Python, SQL
• Generative AI: LLMs, Prompt Engineering, RAG, Vector Databases
• Cloud: AWS, Azure, or Google Cloud
• Tools: Git, Jupyter Notebook, REST APIs

• Analytical and problem-solving abilities
• Understanding of machine learning lifecycle
• Ability to work with large datasets
• Good communication and teamwork skills
• Ability to translate business requirements into technical solutions
• Willingness to learn emerging AI technologies

Candidates may work on:

• Predictive analytics
• Recommendation systems
• Natural language processing