We are seeking a passionate and results-driven AI Engineer with 24 years of experience in AI / ML engineering or data science roles. You will be responsible for designing, developing, and deploying scalable AI solutions that solve real-world problems. This role requires a strong foundation in machine learning, data handling, and production-level model deployment.
Key Responsibilities :
- Develop and deploy AI / ML models for classification, prediction, recommendation, NLP, or computer vision use-cases.
- Clean, preprocess, and analyze large datasets to extract meaningful insights.
- Work with cross-functional teams including data engineers, product managers, and software developers.
- Research and implement state-of-the-art algorithms and techniques.
- Optimize models for performance, scalability, and accuracy.
- Maintain and monitor models in production.
- Document design, development, and testing processes.
Required Skills :
Strong programming skills in Python and experience with libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy.Experience in building and deploying ML models in real-world applications.Good understanding of ML algorithms, deep learning, NLP, or computer vision.Proficiency in data manipulation and statistical analysis.Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow) is a plus.Exposure to cloud platforms like AWS, GCP, or Azure.Experience with model versioning, monitoring, and retraining strategies.Preferred Qualifications :
Bachelors or Masters degree in Computer Science, Data Science, AI / ML, or related field.Strong problem-solving skills and ability to work independently.Good communication and collaboration skills.ref : hirist.tech)