Aiml engineer

We are seeking a motivated and innovative AI/ML Engineer to join our growing team. The ideal candidate will assist in designing, developing, deploying, and optimizing machine learning models and AI-powered applications. This role is ideal for candidates with a strong foundation in machine learning, data science, and software development who are eager to solve real-world business problems using artificial intelligence.

• Develop, train, test, and deploy machine learning and deep learning models.
• Collect, clean, preprocess, and analyze structured and unstructured datasets.
• Build scalable data pipelines to support AI and machine learning workflows.
• Implement supervised, unsupervised, and reinforcement learning algorithms.
• Design and optimize predictive models for classification, regression, recommendation, forecasting, and anomaly detection.
• Collaborate with data scientists, software engineers, product managers, and business stakeholders to deliver AI-driven solutions.
• Evaluate model performance using appropriate metrics and improve model accuracy through feature engineering and hyperparameter tuning.
• Deploy machine learning models using cloud platforms and MLOps best practices.
• Monitor production models and retrain them as needed to maintain performance.
• Document model architecture, experiments, and technical processes.
• Stay current with advancements in artificial intelligence, machine learning, and generative AI technologies.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Mathematics, Statistics, or a related field.
• 0–5 years of experience in AI, machine learning, data science, or software development.
• Strong understanding of machine learning algorithms and statistical modeling.
• Proficiency in Python.
• Experience with machine learning libraries such as Tensor Flow, PyTorch, Scikit-learn, Keras, or XGBoost.

• Programming:
  Python, SQL (Java or C++ is a plus)
• Visualization:
  Matplotlib, Seaborn, Plotly
• Version Control:
  Git, Git Hub, Git Lab

• Strong analytical and critical thinking abilities
• Excellent verbal and written communication
• Team collaboration and cross-functional coordination
• Time management and organizational skills
• Adaptability and willingness to learn new technologies
• Attention to detail and commitment to quality

• Google Professional Machine Learning Engineer
• Tensor Flow Developer Certificate (if applicable)