Posted:19 hours ago|
Platform:
Hybrid
Full Time
Interested suitable candidates please be in touch with roopashree.ry@sutherlandglobal.com
Description: We are seeking an AI/ML Engineer with 6+ years of experience in building and maintaining AI-powered applications. This role emphasizes integration of Postgres with pgvector to support Retrieval-Augmented Generation (RAG) and LLM-based solutions for enterprise communication.
Responsibilities: • Design AI pipelines by leveraging Vector Databases (Postgres,Elastic) for embeddings. • Prototype and deploy agentic systems (multi-agent frameworks, LLM-driven decision engines, self-optimizing workflows) to automate task sequencing, error handling, and quality evaluation. • Fine-tune and deploy LLMs (GPT-4, LLaMA, Falcon, etc.). • Implement RAG workflows for semantic search. • Monitor real-time model performance and optimize retrieval accuracy. • Deploy ML models on cloud AI platforms (Azure, AWS, GCP). • Implement safeguards: hallucination filters, toxicity/PII detection. • Automate retraining and embedding refresh cycles. • Document model lifecycle, pipelines, and retraining procedures. • Working with speech/audio, TTS, or translation models & related pipeline. • Familiarity with ASR/TTS/translation models such as Whisper, wav2vec, F5, Coqui TTS, FastSpeech, Bark, Wav2Lip, etc. • Passion for keeping pace with the latest in Gen AI, LLMs, and ML engineering. • Define pipeline-wide standards for quality, testing, fallback mechanisms, and edge-case handling. • Hands-on experience with speech-to-text (ASR), text-to-speech (TTS), or voice biometrics.
Sutherland
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