AI/ML Engineer Speech, RAG

5 days ago

Rawalpindi, Pakistan Ahdus technology Full time

Job Title: AI/ML Engineer Speech, RAG & Fine-TuningLocation: Bahria Town, Phase 7, RawalpindiEmployment Type: Full-time,Onsite (10AM - 7PM)Job Description:We are seeking a highly skilled AI/ML Engineer with expertise in speech-to-speech pipelines, open-source models, and LLM fine-tuning. The ideal candidate will work on designing, developing, and deploying cutting-edge speech and language AI solutions, integrating open-source frameworks with advanced fine-tuning methods to deliver production-ready systems.Key Responsibilities:Design and implement speech-to-speech pipelines using open-source models (Whisper, Wav2Vec, etc.).Develop and optimize speech-to-text (STT) and text-to-speech (TTS) systems leveraging Coqui or similar frameworks.Work with large language models (LLMs) such as LLaMA 2, LLaMA 3 for NLP applications.Apply LoRA and PEFT-based fine-tuning techniques to customize LLMs for domain-specific tasks.Build and optimize Retrieval-Augmented Generation (RAG)-based systems for knowledge-grounded responses.Develop and integrate agentic AI systems with reasoning and task automation capabilities.Collaborate with cross-functional teams (data engineers, product managers, software developers) to deliver scalable AI solutions.Monitor, evaluate, and optimize deployed AI models for accuracy, latency, and efficiency.Requirements:Strong experience in AI/ML model development with open-source speech and language models.Hands-on experience with Whisper, Wav2Vec, Coqui TTS/STT frameworks.Proven track record with LLaMA 2, LLaMA 3 or similar LLMs.Proficiency in fine-tuning techniques: LoRA, PEFT, and parameter-efficient training.Experience in RAG-based systems for knowledge retrieval and contextual response generation.Familiarity with agentic AI frameworks for building task-oriented agents.Strong programming skills in Python, PyTorch, TensorFlow.Experience with Hugging Face, LangChain, and vector databases (FAISS, Pinecone, Weaviate, etc.).Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).Strong problem-solving skills and ability to optimize model performance.Preferred Qualifications:Masters or PhD in Computer Science, AI/ML, Data Science, or related field.Publications or projects in speech AI, LLM fine-tuning, or agentic AI.Experience with distributed training and model deployment at scale.What We Offer:Lunch provided by the companyMedical AllowanceCompetitive compensation and growth opportunities.Opportunity to work with state-of-the-art open-source AI models.Collaborative environment with AI researchers and engineers.

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