ML Engineer

Note : Slash is sister company of DiLytics About Slash: At Slash, we're revolutionizing home and living services by connecting customers with top professionals seamlessly and at the best prices. From Beauty and Home Care to Auto Care, our platform offers smart service booking with instant confirmations, secure payments, and AI-driven recommendations. Now, were looking for brilliant minds to help us take our AI/ML models to the next level! Why Join Us? Work on cutting-edge AI models that impact real users Get hands-on experience in AI-driven price optimization, customer behavior analysis, and intelligent decision-making Make a real-world impact while learning from the best Key Responsibilities : Design, develop, and implement ML models for: Price optimization across multiple parameters (customer, time slot, display) Loyalty point allocation strategies (Slash coins) Dynamic discount generation and validation Intelligent booking distribution and pro selection Professional penalization and reinstatement logic LLM-based personalized messaging Perform exploratory data analysis to extract actionable insights Work with large datasets, clean and preprocess data for training models Evaluate model performance and iterate on improvements Collaborate with stakeholders to understand business needs and translate them into ML solutions. Who Are We Looking For? 6 months to 1 year of hands-on experience in building and deploying ML models Bachelors/Master’s in Computer Science, Data Science, or related field Strong programming skills in Python Solid understanding of ML algorithms (classification, regression, clustering, etc.) Experience with data preprocessing and feature engineering Exposure to ML frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch) is a plus Ability to interpret data and communicate insights clearly Passion for applying AI to real-world problems What’s In It for You? Real-world experience in deploying AI solutions Freedom to innovate and experiment Learning-driven culture with mentorship and knowledge sharing Opportunity to shape AI strategy for a growing tech-driven platform Be part of Slash’s AI revolution and build the future of intelligent services!