AI/ML Engineer – Speech, RAG

3 days ago

Rawalpindi, Punjab, Pakistan Ähdus Technology GmbH Full time $90,000 - $120,000 per year

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:

  • BS or MS 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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