AI/ML Engineer

We are seeking a skilled AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate will have strong experience in building scalable ML models, working with large datasets, and deploying models into production environments.

• Design, develop, train, and deploy machine learning and AI models.

• Perform data preprocessing, feature engineering, and model evaluation.

• Build and optimize ML pipelines for training, validation, and deployment.

• Develop predictive, classification, recommendation, or NLP models based on business needs.

• Collaborate with data engineers to ensure high-quality, scalable data pipelines.

• Deploy models using APIs, containers, or cloud-native services.

• Monitor model performance, accuracy, drift, and retrain models as needed.

• Work closely with product, engineering, and business teams to translate requirements into ML solutions.

• Maintain documentation for models, experiments, and ML workflows.

• Stay updated with advancements in AI, ML algorithms, and tools.

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.

• Strong proficiency in Python and ML libraries such as Scikit-learn, NumPy, Pandas.

• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.

• Strong understanding of ML algorithms (regression, classification, clustering, NLP, time series).

• Experience with data processing and big data tools (Spark, Hadoop) is a plus.

• Knowledge of SQL and NoSQL databases.

• Experience deploying models using Docker, Kubernetes, or cloud services.

• Familiarity with CI/CD and MLOps practices.

• Strong analytical, problem-solving, and communication skills.