NeerInfo Solutions · 1 day ago
Media & Entertainment Technical Architect
NeerInfo Solutions is seeking a Media & Entertainment Technical Architect who possesses deep expertise in the Media & Entertainment technology landscape. The role involves designing and building solutions leveraging machine learning, cloud architecture, and software engineering principles to meet complex technical challenges and business requirements.
Responsibilities
M&E Domain Expertise ( nice-to-have ): Deep, demonstrable experience in the Media & Entertainment technology landscape, with a strong understanding of content supply chains, digital asset management (DAM), and media workflows
Software Engineering Foundation ( must-have ): Proficiency in a high-level programming language (e.g., Python, NodeJS / Java) and a solid understanding of software development lifecycle (SDLC), CI/CD, and infrastructure as code (IaC)
AI/ML in Media ( must-have ): Demonstrable multiple project experience in building media solutions leveraging machine learning models for text, video, audio, images – particularly in areas like computer vision, image recognition, NLP for metadata extraction, and familiarity with Video Language Models (VLMs), LLMs, transformers, scikit-learn libraries
Cloud/Data Architecture ( must-have ): Proven experience designing and building solutions on any/all hyperscalers (AWS, GCP, Azure) with expertise in the specific services of the target architecture for: Data Ingestion, Data Lake/Lakehouse, Data Governance, Data Analytics (e.g. Snowflake, Databricks), Data Models, Data Intelligence, Serverless Architecture, Event-Driven, Microservices, Microbatch processing & Orchestrations, Integration patterns, media related components of the specific Hyperscalers. Experience on CDC, DDD, SaaS, PaaS, protocols – REST, gRPC, formats – JSON, Protobufs
Video and Audio Engineering ( good-to-have ): Proficiency with video/audio codecs (e.g., H.264, HEVC, AV1, AAC), streaming protocols (HLS, DASH), container formats (MP4, TS), libraries (ffmpeg) technologies. Experience with custom as well as COTS products will be an added advantage
Problem-Solving & Strategic Thinking: Ability to analyze complex technical challenges and business requirements, and design elegant, efficient, and forward-looking solutions
Communication & Stakeholder Management: Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences, and to build consensus and drive architectural decisions with clients and internal teams
Qualification
Required
Proficiency in a high-level programming language (e.g., Python, NodeJS / Java) and a solid understanding of software development lifecycle (SDLC), CI/CD, and infrastructure as code (IaC)
Demonstrable multiple project experience in building media solutions leveraging machine learning models for text, video, audio, images – particularly in areas like computer vision, image recognition, NLP for metadata extraction, and familiarity with Video Language Models (VLMs), LLMs, transformers, scikit-learn libraries
Proven experience designing and building solutions on any/all hyperscalers (AWS, GCP, Azure) with expertise in the specific services of the target architecture for: Data Ingestion, Data Lake/Lakehouse, Data Governance, Data Analytics (e.g. Snowflake, Databricks), Data Models, Data Intelligence, Serverless Architecture, Event-Driven, Microservices, Microbatch processing & Orchestrations, Integration patterns, media related components of the specific Hyperscalers. Experience on CDC, DDD, SaaS, PaaS, protocols – REST, gRPC, formats – JSON, Protobufs
Ability to analyze complex technical challenges and business requirements, and design elegant, efficient, and forward-looking solutions
Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences, and to build consensus and drive architectural decisions with clients and internal teams
Preferred
Deep, demonstrable experience in the Media & Entertainment technology landscape, with a strong understanding of content supply chains, digital asset management (DAM), and media workflows
Proficiency with video/audio codecs (e.g., H.264, HEVC, AV1, AAC), streaming protocols (HLS, DASH), container formats (MP4, TS), libraries (ffmpeg) technologies. Experience with custom as well as COTS products will be an added advantage