AI/ML/NLP Engineer
7 days ago
Job Description: AI/ML/NLP Engineer
Experience
- 5+ years of professional software development experience with excellent communication skills.
- Prior team lead or senior engineer role, with proven ability to mentor and streamline communication.
- Strong balance of backend depth and frontend delivery; able to collaborate across functions.
- Able to adapt and contribute effectively in dynamic or less-structured environments.
- Comfortable working under tight timelines while maintaining quality and focus.
- Capable of delivering quick, practical solutions without compromising long-term stability.
- Strong problem-solving mindset with the ability to stay composed under pressure.
- Proactive in learning and adjusting to new challenges as they arise.
Role & Responsibilities
- Design and implement pipelines for
speech-to-text (ASR), speaker diarization, and video segmentation
. - Develop workflows for
Named Entity Recognition (NER), relation extraction, and entity resolution
. - Convert ML outputs into
RDF triples with provenance
for use in knowledge graphs. - Generate and manage
embeddings
for documents, entities, and relations to support vector search. - Build
evaluation frameworks
to measure accuracy in ASR, entity linking, and relation extraction. - Integrate ML pipelines as
idempotent, queue-friendly jobs
, ensuring scalability and reliable event publishing.
Skills & Tooling
- Strong experience with
ASR and NER models
(Whisper, HuggingFace Transformers). - Hands-on expertise in
transformer-based models
and fine-tuning workflows. - Familiarity with
entity linking, RDF mapping, and SPARQL query generation
. - Experience with
vector databases
(pgvector, OpenSearch, Pinecone, etc.). - Skilled at
integrating ML workflows
into backend systems (APIs, batch jobs, Kafka/Redis queues).
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