GPU Machine Learning Intern

7 days ago

Gurgaon, Haryana, India Matchbest Software Full time ₹ 6,00,000 - ₹ 12,00,000 per year

About the Role

Were looking for an early-career ML engineer who wants to dive deep into GPU-accelerated AI and help build next-generation generative models (text, image, and video) while learning how to deploy them in real-world applications.

Youll work directly with our senior AI engineering team to train, optimize, and serve advanced models and expose them to our front-end web and mobile apps.

Key Responsibilities

  • Model Development & Training

  • Assist in training and fine-tuning diffusion and transformer models using PyTorch (and occasionally TensorFlow or JAX).

  • Experiment with mixed precision (FP16/BF16) and basic quantization for performance gains.

  • Run and monitor GPU jobs, log results, and document experiments.

  • Model Serving & Integration

  • Support deployment of models with Triton Inference Server, vLLM, or TensorRT-LLM under the guidance of senior engineers.

  • Help connect model endpoints to our front-end APIs (REST/gRPC/WebSockets) for real-time user experiences.

  • GPU Systems & Performance

  • Learn to work with CUDA kernels and GPU profiling tools (Nsight, nvprof) to identify bottlenecks.

  • Assist in basic multi-GPU scheduling and understand concepts like NCCL, MIG partitioning, and NVLink.

  • Collaboration & Documentation

  • Work closely with senior ML engineers, front-end developers, and product designers.

  • Maintain experiment logs, code comments, and internal documentation for reproducibility.

  • Education:

  • B.Tech/M.Tech (Computer Science, AI/ML, Data Science, Electrical, or related) – recent graduates welcome.

  • Technical Skills:

  • Solid Python programming and familiarity with PyTorch.

  • Basic understanding of deep learning concepts, GPU computing, and Linux environment.
  • Exposure to CUDA or willingness to learn.

  • Familiarity with Git and basic DevOps practices.

  • Mindset:

  • Eagerness to learn GPU optimization and large-scale ML deployment.

  • Strong problem-solving skills and attention to detail.

  • Ability to work full-time on-site in Gurgaon Sector 49.

  • Coursework or hobby projects in computer vision, diffusion models, or LLMs.

  • Experience with ONNX Runtime, OpenVINO, or TensorRT.
  • Knowledge of cloud GPU platforms (AWS/GCP/Azure) or Kubernetes basics.

What We Offer

  • Hands-on mentorship from senior engineers building cutting-edge generative AI.
  • Access to state-of-the-art GPU infrastructure.
  • Opportunity to grow into a full-time ML Systems Engineer role at MatchBest Group.

Job Type: Full-time Internship / Entry-Level (0–1 year experience)

Location: On-site, Sector 49 IT Spaze Park, Gurgaon, Haryana

Compensation: Competitive stipend / entry-level salary, with performance-based conversion to permanent role.

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