Machine Learning Engineer

Zoho; Surat; On-site; INR 600,000 - 1,000,000; Full time

Job summary

VideoSDK is hiring a Machine Learning Engineer in Surat, India (onsite) with 0-2 years of experience. BE/BTech in CS/IT, AI/ML required.

Candidates should be proficient in Python, NumPy, Pandas, and CUDA, and comfortable with ML fundamentals and model evaluation. Responsibilities include building and optimizing ML models, performing data preprocessing, feature engineering, EDA, and deploying models to production.

Qualifications

• Strong Python proficiency with NumPy and Pandas.
• Solid foundation in statistics, probability, linear algebra and ML fundamentals.
• Hands-on experience building, training, evaluating, and optimizing ML models or LLMs.
• Experience with data preprocessing, feature engineering, EDA, and model evaluation.
• Ability to define evaluation metrics, run experiments, and interpret model performance.
• Familiarity with Git, APIs, and deploying models into production environments.
• Strong problem-solving skills and translating business requirements into data-driven solutions.

Skills

Python

NumPy/Pandas

CUDA

Statistics & ML

ML model training

EDA/Feature Eng

Experimentation

Production deployment

Git

APIs

Problem solving

Education

BE/BTech in CS/IT, AI/ML only

Tools

Git

APIs

CUDA tooling

Job description

Surat City, India | Posted on 10/09/2026

About VideoSDK: 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 : www.videosdk.live 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.