Machine Learning Engineer

We Are Hiring | ML Engineer | Bangalore | Hybrid We are seeking a Machine Learning Engineer to design and scale advanced forecasting and optimization systems in a high-performance environment. This role involves building ML-driven systems, developing predictive models and deploying scalable pipelines that directly support strategic and performance-focused outcomes. Key Responsibilities Design and implement end-to-end ML pipelines for large-scale environments Develop and enhance optimization engines using advanced modeling techniques Pre-train and fine-tune forecasting models on large, real-time datasets Translate business hypotheses into production-ready ML systems through structured experimentation Collaborate with cross-functional teams to integrate models into live workflows Maintain clear documentation to ensure reproducibility and alignment across teams What You Will Gain Collaboration with experienced professionals in applied machine learning Opportunity to architect scalable, low-latency ML infrastructure Exposure to advanced ML frameworks and optimization methodologies Ownership of high-impact initiatives with measurable outcomes A challenging environment focused on innovation and performance Qualifications Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, Data Science. 3+ years of experience deploying ML models in production environments Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn Solid understanding of time series modeling, statistical learning, and evaluation techniques Experience with version control systems (Git) and containerized environments (Docker, Kubernetes) Exposure to reinforcement learning, portfolio optimization, or signal generation is preferred Strong analytical and problem-solving skills with a focus on experimentation and validation