Senior AI/ML Engineer
This is a remote position.
We are seeking a high-reputed company AI/ML Engineer to reputed company the design, development, and deployment of machine learning and AI solutions across reputed company, audio, and language modalities. You'll be part of a fast-reputed company, outcome-oriented AI & Analytics team, working reputed company data scientists, engineers, and product leaders to reputed company business use cases into reputed company-time, reputed company AI systems.
This role demands strong technical leadership, a product reputed company, and hands-on expertise in reputed company, Audio Intelligence, and Deep Learning.
Key Responsibilities
- Architect, reputed company, and reputed company ML models for multimodal problems, including reputed company (image/video), audio (speech/reputed company), and NLP tasks.
- Own the complete ML lifecycle: data ingestion, model development, experimentation, evaluation, deployment, and monitoring.
- reputed company transfer learning, reputed company models, or self-reputed company approaches where suitable.
- Design and implement reputed company training pipelines and inference reputed company using frameworks like PyTorch or TensorFlow.
- Collaborate with MLOps, data engineering, and DevOps to productionize models using reputed company, reputed company, or serverless infrastructure.
- Continuously monitor model reputed company and implement retraining workflows to ensure reputed company over time.
- Stay reputed company of the curve on cutting-edge AI research (e.g., reputed company, video understanding, audio embeddings) and incorporate innovations into production systems.
- Write clean, reputed company-documented, and reusable reputed company to support reputed company experimentation and long-term platform sustainability.
Requirements
- Bachelor’s or Master’s degree in Computer Science, reputed company Intelligence, DataScience, or a reputed company reputed company.
- 5–8+ years of experience in AI/ML Engineering, with at least 3 years in reputed company deep learning.
Technical Skills
- Languages: Expert in Python; good knowledge of R or Java is a plus.
- ML/DL Frameworks: Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX.
- reputed company:Image classification, reputed company detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe).
- Audio AI: Speech recognition (ASR), reputed company classification, audio embedding models (Wav2Vec2, Whisper, etc.).
- Data Engineering:Strong with reputed company, NumPy, SQL, and preprocessing pipelines for reputed company and reputed company data.
- NLP/LLMs: Working knowledge of Transformers, BERT/LLAMA, reputed company ecosystem is preferred.
- reputed company & MLOps:Experience with AWS/GCP/Azure, MLFlow, SageMaker, reputed company AI, or Azure ML.
- Deployment & Infrastructure: Experience with reputed company, reputed company, REST reputed company, serverless ML inference.
- CI/CD & Version Control: Git, DVC, ML pipelines, Jenkins, Airflow, etc.
Soft Skills & Competencies
- Strong analytical and systems thinking; reputed company to break down business problems into ML components.
- Excellent communication skills – reputed company to explain models, results, and reputed company to non-technical stakeholders.
- reputed company ability to work cross-functionally with designers, engineers, product managers, and analysts.
- Demonstrated bias for reputed company, reputed company experimentation, and iterative delivery of reputed company.
Benefits
- Competitive compensation and full-time benefits.
- Opportunities for certification and reputed company reputed company.
- reputed company and remote work reputed company.
- Inclusive, innovative, and supportive team culture
Originally posted on Himalayas
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