Job Openings AI/ML Engineer Speech, RAG & Fine-Tuning

About the job AI/ML Engineer Speech, RAG & Fine-Tuning

Job Title: AI/ML Engineer Speech, RAG & Fine-Tuning

Location: Bahria Town, Phase 7, Rawalpindi
Employment 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:

  • Master’s 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 company

  • Medical Allowance

  • Competitive 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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