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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.
Key Responsibilities
- 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.
Key Skills
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