Aiml engineer

Job Summary

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.

Key Responsibilities

• 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.

Required Qualifications

• 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 TensorFlow, PyTorch, Scikit-learn, Keras, or XGBoost.

Technical Skills

• Programming: Python, SQL (Java or C++ is a plus)
• ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
• Data Processing: Pandas, NumPy, Spark
• Visualization: Matplotlib, Seaborn, Plotly
• Cloud Platforms: AWS, Azure, Google Cloud Platform
• Databases: PostgreSQL, MySQL, MongoDB
• MLOps: Docker, Kubernetes, MLflow, Kubeflow
• Version Control: Git, GitHub, GitLab

Soft Skills

• 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

Preferred Certifications

• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• TensorFlow Developer Certificate (if applicable)

Ready to Take the Next Step? Email your updated resume to: [email protected]