Job Title: AI/ML Engineer
Department: IT Services
Reports To: IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a solid foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
- Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
- Select appropriate algorithms and techniques based on business needs and data characteristics.
- Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
- Clean, preprocess, and transform structured and unstructured datasets for training and inference.
- Engineer and select relevant features to improve model accuracy and generalizability.
- Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
- Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
- Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
- Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
- Work with business stakeholders to translate real-world problems into AI/ML use cases.
- Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
- Co
📌 AI/ML Engineer (India)
🏢 Uvation
📍 India