Machine Learning Engineer

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Greenlight Planet

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2009

⚡ Energy

🌍 Social Impact

👥 B2C

Energy • Social Impact • B2C

Greenlight Planet is a company that has transitioned to the brand Sun King. It specializes in designing, distributing, installing, and financing solar energy solutions, specifically for the 1. 8 billion people without reliable electricity access. The company provides a range of solar products, such as lanterns, home systems, and AC electricity systems, to meet diverse power needs across Africa and Asia. Sun King's solutions facilitate off-grid power access, offering reliable and sustainable energy alternatives to traditional power sources. The company operates on a global scale, including in regions such as East Africa, South Asia, and Oceania, and also provides pay-as-you-go financing options to make solar energy more accessible and affordable.

📋 Description

• Research, design, train, and productionize deep learning models for speech/audio (ASR, speaker diarization, audio classification, TTS, noise suppression) and computer vision (detection, segmentation, classification, video understanding) use cases. • Architect training pipelines capable of handling large-scale datasets, manage data preprocessing, augmentation, and versioning workflows. • Select and adapt state-of-the-art architectures (Transformers, CNNs, RNNs, diffusion models, etc.) and fine-tune or distill pre-trained models for production constraints. • Optimize models for inference - quantization, pruning, knowledge distillation - targeting latency, throughput, and memory budgets on CPU/GPU/edge hardware. • Work with software engineers to integrate models into production systems, design APIs and microservices for model serving. • Define and track evaluation benchmarks, monitor model performance in production, and drive continuous improvement cycles. • Stay current with research literature, evaluate and implement relevant SOTA techniques, contribute to internal technical forums.

🎯 Requirements

• B.Tech / M.Tech / M.Sc. / PhD in Computer Science, Electrical Engineering, Signal Processing, or a related field. • 4+ years of experience in machine learning/deep learning engineering with significant hands-on work in speech/audio and/or computer vision in production environments. • PyTorch (primary) and TensorFlow/Keras, familiarity with JAX is a plus. • Deep expertise in Wav2Vec 2.0, Whisper, ESPnet, SpeechBrain, torchaudio, librosa. • Strong experience with speech/audio frameworks and toolkits: YOLO, DETR, ViT, EfficientNet, SAM, and standard CV pipelines (OpenCV, torchvision, Albumentations). • Solid background in computer vision: TensorRT, ONNX Runtime, TorchScript, DeepSpeed, or Triton Inference Server. • Hands-on experience with model inference optimization using Python and strong software engineering fundamentals: OOP, clean code, testing, CI/CD. • Proficient in SQL for data extraction and pipeline logging. • Experience with distributed training frameworks (DDP, DeepSpeed, FSDP) and large-scale data pipelines. • Familiarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployment (Docker, Kubernetes, ECS). • Good knowledge of system design principles for ML services: throughput, latency, scalability, fault tolerance.

🏖️ Benefits

• - Professional growth in a dynamic, rapidly expanding, high-social-impact industry • - An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet. • - A truly multicultural experience: You will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds. • - Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.