About the role
VideoSDK is a real-time communication platform that helps developers and businesses build scalable video, voice, and interactive experiences into their applications. With powerful APIs and SDKs, VideoSDK enables teams to create custom solutions for video conferencing, live streaming, webinars, virtual classrooms, and collaborative applications without worrying about the complexities of infrastructure.
Position: Machine Learning Engineer
Location: Surat, GJ (Onsite)
Experience: 0 - 2 Years
Website:
Education: BE/BTech in CS/IT, AI/ML only.
Requirements
Must to have:
• Strong proficiency in Python, including NumPy, Pandas, Nvidia CUDA.
• Strong understanding of statistics, probability, linear algebra, & machine learning fundamentals.
• Hands-on experience building, training, evaluating, and optimizing machine learning models / or LLMs.
• Experience with data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Ability to define evaluation metrics, conduct experiments, and interpret model performance.
• Familiarity with Git, APIs, and deploying models into production environments.
• Strong problem-solving skills and the ability to translate business requirements into data-driven solution.
Good to have:
• Familiarity with speech processing, ASR, TTS, or conversational AI.
• Familiarity with inferencing frameworks.
• Experience with LLMs, embeddings, vector databases, & RAG pipelines.
• Knowledge of audio analytics, real-time communication data, or voice AI applications.
• Understanding of MLOps, model monitoring, and production model optimization.