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
