ApplySarthiMachine Learning Engineer
IMC
Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
1,079 open learning roles across 266 companies are on ApplySarthi right now, most of them in Bengaluru (63), Hyderabad (24), Delhi NCR (14).
- Machine Learning EngineerDeepJudge
- Machine Learning Platform EngineerBjak
- PhD Autonomy Engineer Intern - Computer Vision / Deep Learning Summer 2027Skydio
- Research Engineer – Machine Learning & Medical ImagingImfusion
- Research Engineer — Robot LearningBleu Robotics
What learning roles keep asking for: Machine learning (48%), Python (35%), LLMs (22%), PyTorch (22%), Deep learning (16%), AWS (13%), Generative AI (13%) — counted across their open postings here.
Remote Machine Learning Engineer jobs · C++ jobs · Machine learning jobs · PyTorch jobs · Python jobs
IMC has 175 open roles listed here.
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for learning roles keep coming back to Machine learning, Python, LLMs, PyTorch. Practise those questions before you sit with IMC.
Questions you are likely to be asked
- Why do you want to join IMC?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Machine Learning Engineer at IMC interview free →
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities.
Your Core Responsibilities:
- Develop large-scale distributed training pipelines to manage datasets and complex models
- Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
- Develop libraries to improve the performance of machine learning frameworks
- Maximize performance in training and inference using GPU hardware and acceleration libraries
- Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
- Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
- Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
- Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
- Dig into the internals of open-source ML tools to extend their capabilities and improve performance
Your Skills and Experience:
- 3+ years of experience in machine learning with a focus on training or inference systems
- Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
- Strong engineering skills, including Python, CUDA, or C++
- Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
- Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
- Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
- Exposure to cloud platforms and orchestration tools
- A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Connect with us at ICLR 2026!IMC · mumbai
- Corporate Development ManagerIMC · mumbai
- Executive AssistantIMC · mumbai
- IT Operations EngineerIMC · mumbai
- Operations TraderIMC · mumbai
- Research Analyst (Indian Equities)IMC · mumbai
- Trade Surveillance AnalystIMC · mumbai
- Information Security EngineerIMC · mumbai
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2026-06-26. ApplySarthi collects openings and links to application pages; the role is advertised by IMC, not by us.