Proximity Works
Senior ML Engineer
Remote onlyRemotePosted 1 month ago₹3,000,000 – ₹5,500,000
Full TimeSeniorRemoteIN
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Job Description
About the RoleWe're looking for a hands-on ML Engineer who combines strong machine learning fundamentals with the backend infrastructure instincts needed to take models from research into reliable, sc
Key Highlights
- Train, fine-tune, and evaluate generative video and multimodal models (image-to-video, text-to-video, lip-sync, character consistency)
- Build and manage end-to-end ML pipelines: data ingestion, preprocessing, training, evaluation, and versioning
- Own model deployment and serving infrastructure — containerization, GPU-optimized inference, model registries, and rollout strategies
- Implement MLOps best practices: experiment tracking, model monitoring, drift detection, A/B testing, and observability
- Design and maintain scalable inference systems optimized for low latency, high throughput, and cost-efficient GPU utilization
Qualifications
Required Qualifications
- 4-10 years of experience in Machine Learning / Applied ML Engineering
- Strong fundamentals in deep learning, Transformers, and generative model architectures
- Hands-on experience with model training at scale — including fine-tuning large models (LoRA, full fine-tune) on custom datasets
- Solid MLOps experience: experiment tracking (MLflow, W&B), CI/CD for ML, model versioning, and serving frameworks (Triton, TorchServe, vLLM, or equivalent)
- Strong Python skills and fluency with PyTorch and the modern ML stack
- Experience deploying and operating ML systems in distributed cloud environments (GCP, AWS, or Azure) — GPU provisioning, autoscaling, and cost management
- Comfort working on ambiguous, high-impact problems with cross-functional teams
- Experience with video generation, diffusion models, or multimodal architectures (DiT, U-Net, audio-video joint models)
- Familiarity with LoRA/IC-LoRA fine-tuning workflows for character or identity consistency
- Experience in media, OTT, sports, or large-scale content platforms
- Knowledge of inference optimization techniques: quantization (FP8/INT8), batching, async orchestration, and GPU memory management
- Exposure to TTS/voice cloning systems or audio-video synchronization pipelines
Skills & Technologies
Machine Learning (ML)MLOpsDeep LearningLarge Language Models (LLM)Generative AI
About the Company
Proximity Works
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Job Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
₹3,000,000 – ₹5,500,000
Location
Remote only
Work Mode
Remote
Posted
1 month ago
Country
IN