Machine Learning Specialist

Key Responsibilities

• Assist in designing, developing, and deploying machine learning models and AI solutions.
• Collect, clean, and preprocess structured and unstructured datasets.
• Build and evaluate predictive models using supervised and unsupervised learning techniques.
• Develop and maintain Python-based AI/ML applications.
• Work with large datasets to identify patterns and generate actionable insights.
• Collaborate with software engineers, data engineers, and product teams to integrate AI models into applications.
• Test, validate, and optimize model performance.
• Document code, experiments, and model results.

Required Qualifications

• Bachelor's degree in computer science, Artificial Intelligence, Data Science, Information Technology, or a related field.
• 1–4 years of experience in AI, Machine Learning, or Data Science (internships and academic projects are welcome).
• Strong programming skills in Python.
• Basic understanding of machine learning algorithms such as Regression, Classification, Clustering, and Decision Trees.
• Familiarity with data structures, algorithms, and object-oriented programming.
• Knowledge of SQL and relational databases.
• Strong analytical and problem-solving skills.
• Good communication and collaboration skills.

Preferred Skills

• Experience with Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Basic knowledge of Large Language Models (LLMs), Prompt Engineering, or Generative AI.
• Familiarity with Git and version control.
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of REST APIs and model deployment concepts.
• Experience working with Jupyter Notebook or Google Colab.
• Knowledge of Docker is a plus.