Machine Learning Engineer (India)

Machine Learning Engineer (India)

10 Oct
|
Video SDK
|
India

10 Oct

Video SDK

India

Job Description
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 cooperative 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 Num Py, 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.

Positive 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.

Requirements
- Python, including Num Py, Pandas, Nvidia CUDA. - Statistics, probability, linear algebra, & machine learning fundamentals - Building, training, evaluating, and optimizing machine learning models / or LLMs Job Name: Talent Acquisition Specialist Years of Experience: 3+ Mandatory Skills:



Experience with HR and recruitment tools, experience with full cycle recruitment, basic understanding of programming languages and use-cases. Good to have: People management skills, managed and organized meetups, campus recruitment and hack-a-thons. Key Responsibilities Sourcing Candidates: Utilize various methods, such as job boards, social media, networking, and referrals, to potential candidates. Candidate Screening: Review resumes, conduct initial interviews, and assess candidates' qualifications and fit for the organization. Interview Coordination: Schedule and conduct interviews with candidates, coordinating with hiring managers and teams. Candidate Evaluation: Evaluate candidates based on skills, experience, and cultural fit with the organization. Reference Checks: Conduct reference checks to verify the accuracy of a candidate's work history and qualifications. Offer Management: Extend job offers, negotiate terms, and facilitate the hiring process, including background checks and onboarding. Talent Pipeline Management: Maintain a network of potential candidates for future job openings. Data and Reporting: Maintain recruitment data, generate reports, and analyze recruitment metrics to improve the hiring process. What we are looking for: Minimum of 3+ years of technology / product recruitment experience, hiring for mid to senior level roles for product companies. Strong sourcing skills across engineering roles using various sourcing channels. Experience working in a fast paced dynamic environment. High levels of ownership. Our Perks: Impactful Work: Opportunity to make a significant impact by driving organic growth and improving search visibility. Collaborative Environment: Work in a collaborative and dynamic environment with a strong focus on innovation. Professional Growth: Access to professional growth and development opportunities. Competitive Compensation: Receive a competitive salary and benefits package includes ESOPs and incentive. Flexibility: Enjoy flexible work hours. Learn More: To learn more about our company and the work we do, please visit our website.

📌 Machine Learning Engineer (India)
🏢 Video SDK
📍 India

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