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