{"id":461320,"url":"https://alion.io/job/sun-king-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":177485,"name":"Sun King","domain":"sunking.com","url":"https://alion.io/company/sun-king","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New Delhi, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Diffusion Models","optional":false},{"name":"JAX","optional":false},{"name":"Keras","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"Speech Recognition","optional":false},{"name":"TensorFlow","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Transformers","optional":false},{"name":"Albumentations","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"DeepSpeed","optional":true},{"name":"Docker","optional":true},{"name":"EfficientNet","optional":true},{"name":"FSDP","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"OpenCV","optional":true},{"name":"Python","optional":true},{"name":"PyTorch C++","optional":true},{"name":"SQL","optional":true},{"name":"TensorRT","optional":true},{"name":"Torchvision","optional":true},{"name":"Triton Inference Server","optional":true},{"name":"Vertex AI","optional":true},{"name":"Whisper","optional":true},{"name":"YOLO","optional":true}],"status":"live","first_seen_at":"2026-09-05T11:06:27Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T20:25:31Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Job location: Remote in India\n\nAbout the role:\nWe are looking for a seasoned Machine Learning Engineer with deep expertise in deep learning to design and build production-grade models in the speech/audio and computer vision domains. The Machine Learning Engineer will own the end-to-end model development lifecycle - from dataset curation and architecture design through training, optimization, and deployment, and will work closely with software and product teams to ship low-latency, scalable AI features.\nWhat you will be expected to do\nResearch, 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.\nArchitect training pipelines capable of handling large-scale datasets, manage data preprocessing, augmentation, and versioning workflows.\nSelect and adapt state-of-the-art architectures (Transformers, CNNs, RNNs, diffusion models, etc.) and fine-tune or distill pre-trained models for production constraints.\nOptimize models for inference - quantization, pruning, knowledge distillation - targeting latency, throughput, and memory budgets on CPU/GPU/edge hardware.\nWork with software engineers to integrate models into production systems, design APIs and microservices for model serving.\nDefine and track evaluation benchmarks, monitor model performance in production, and drive continuous improvement cycles.\nStay current with research literature, evaluate and implement relevant SOTA techniques, contribute to internal technical forums.\nYou might be a strong candidate if you have/are\nB.Tech / M.Tech / M.Sc. / PhD in Computer Science, Electrical Engineering, Signal Processing, or a related field.\n4+ years of experience in machine learning/deep learning engineering with significant hands-on work in speech/audio and/or computer vision in production environments.\nPyTorch (primary) and TensorFlow/Keras, familiarity with JAX is a plus.\nDeep expertise in Wav2Vec 2.0, Whisper, ESPnet, SpeechBrain, torchaudio, librosa.\nStrong experience with speech/audio frameworks and toolkits: YOLO, DETR, ViT, EfficientNet, SAM, and standard CV pipelines (OpenCV, torchvision, Albumentations).\nSolid background in computer vision: TensorRT, ONNX Runtime, TorchScript, DeepSpeed, or Triton Inference Server.\nHands-on experience with model inference optimization using Python and strong software engineering fundamentals: OOP, clean code, testing, CI/CD.\nProficient in SQL for data extraction and pipeline logging. \nExperience with distributed training frameworks (DDP, DeepSpeed, FSDP) and large-scale data pipelines.\nFamiliarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployment (Docker, Kubernetes, ECS).\nGood knowledge of system design principles for ML services: throughput, latency, scalability, fault tolerance.\nWhat Sun King offers\nProfessional growth in a dynamic, rapidly expanding, high-social-impact industry\nAn 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.\nA truly multicultural experience: You will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.\nStructured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.","description_format":"text","description_chars":3526,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy Storage","Solar Energy"],"lifecycle":[{"event":"open","at":"2026-09-06T11:06:27Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long 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