Machine Learning Engineer
2 days ago
Interested suitable candidates please be in touch with
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.
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