Machine Learning Engineer

Location: Bengaluru

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, Tensor Flow, 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