Ai Ml Engineer

Greetings from Honeybee Tech Solutions!

We have an urgent requirement for an AI/ML Tech Lead for our end client.

Share your updated resume: [email protected]

Job Title AI/ML Engineering

Job Summary

The AI/ML Tech Lead will drive the end-to-end architecture, implementation, and scaling of multimodal AI systems within a media organization.

The role involves leading teams that deliver solutions across media understanding, personalization, search, content moderation, and automation, while ensuring engineering excellence, scalability, and robustness across AI systems.

Must-Have Skills

• Expert-level knowledge of Computer Vision (CV), NLP, Speech Models, and Multimodal Transformer Models

• Strong understanding of GPU optimization

• Hands-on experience with distributed training, including:

• DeepSpeed

• Horovod

• Experience with real-time / near-real-time video processing

• Hands-on experience with:

• MLflow

• Ray

• Airflow

• KServe

• Triton Inference Server

• Vector Databases

• RAG

• LangChain

Preferred Skills

• Experience with Broadcast / OTT platforms
• Experience with MAM (Media Asset Management) systems
• Experience with DAM (Digital Asset Management) workflows
• Experience with Generative Imaging, such as Stable Diffusion
• Experience with Video Generation

Qualifications

• 610 years of AI/ML experience, including leadership experience
• 5+ years of hands-on ML Engineering experience
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field

Key Responsibilities

Architecture & Technical Leadership

• Architect large-scale multimodal AI systems handling video, audio, and image pipelines.

• Design scalable training, inference, and data-ingestion systems for media AI applications.

• Lead the architecture and development of video AI capabilities, including:

• Scene Detection

• Video Summarization

• Content Moderation

• Annotation Workflows

• Multimodal Search & Discovery

• Design and optimize RAG pipelines using:

• Transcripts

• Video frames

• Subtitles

• Metadata

• Drive technical decisions around AI/ML architecture, scalability, performance, and reliability.

• Lead engineering teams in delivering production-ready AI solutions.

• Ensure AI systems are robust, scalable, and optimized for real-time or near-real-time media processing.

Key Screening Keywords

AI/ML Tech Lead | Machine Learning | Computer Vision | NLP | Speech Models | Multimodal AI | Transformers | GPU Optimization | DeepSpeed | Horovod | Real-Time Video Processing | MLflow | Ray | Airflow | KServe | Triton Inference Server | Vector DB | RAG | LangChain | Stable Diffusion | Video Generation | OTT | Broadcast | MAM | DAM

Best Regards,
Deva P
Talent Acquisition Manager
Honeybee Tech Solutions Pvt. Ltd.
+91 7353365505
[email protected]