About us: OptiComm.AI is an intelligent prediction platform that helps businesses accurately forecast customer needs and uncover hidden revenue opportunities. Unlike traditional solutions that rely heavily on historical data, OptiComm.AI combines advanced deep learning forecasting with reality-based workflows, external market information, and contextual intelligence.

Role Overview: Join OptiComm.AI and get a chance to build the most recent intelligent prediction Deep Learning Models that power our platform! As a Junior Machine Learning Engineer, you'll help create and train ML / Deep Learning models that accurately forecast demand, detect patterns, and generate actionable business recommendations.

Key Responsibilities:

• Assist in developing and training machine learning / deep learning models for demand forecasting
• Process and prepare data for model training
• Help implement our reality-based AI model training approach
• Evaluate model performance and assist with optimization
• Collaborate with data engineers and full stack developers for model deployment
• Support the development of new prediction features

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, or related field
• Basic knowledge of machine learning concepts and techniques
• Proficiency in Python and machine learning libraries (TensorFlow, PyTorch, or scikit-learn)
• Understanding of statistical analysis and data processing
• Knowledge of time series forecasting techniques
• Strong analytical and problem-solving skills
• Ability to communicate complex concepts to non-technical team members

Nice to Have:

• Experience with deep learning models
• Familiarity with MLOps practices
• Understanding of business operations in retail or logistics
• Knowledge of A/B testing methodologies
• Experience with cloud ML services (Microsoft Fabric, AWS SageMaker, Google Cloud Platform)