
AI ML Engineer
3 weeks ago
1 week ago Be among the first 25 applicants
Direct message the job poster from Karsaaz EBS Pvt. Ltd.
Social media manager ,Brand Strategist,Marketing StrategistAt Karsaaz EBS, we're looking for an AI Fine-Tuning Specialist / Machine Learning Engineer to join our team and help us optimize AI models for real-world applications. We have a vast dataset of voice and text, and we need someone who can fine-tune AI models to align with our product needs—whether it's for a specialized application, database, or other AI-driven solutions.
What You'll Do:
Fine-tune pre-trained AI models (e.g., GPT, LLaMA, BERT, Whisper, T5, etc.) for specific use cases.
Train and optimize models on custom datasets (voice, text, and other structured/unstructured data).
Implement transfer learning, supervised learning, and reinforcement learning techniques.
Work with LLMs, speech-to-text models, text-to-speech models, and embeddings to enhance model performance.
Optimize models for efficiency, accuracy, and deployment in real-world applications.
Collaborate with the team to integrate AI models into applications, databases, and products.
Stay updated with the latest in AI fine-tuning, transformers, and deep learning.
What We're Looking For:
Strong experience in fine-tuning LLMs (e.g., GPT-3.5/4, Falcon, Mistral, Claude, etc.)
Experience with speech recognition models like Whisper, DeepSpeech, or wav2vec and text-to-speech models like Tacotron, VITS, FastSpeech, or Coqui TTS.
Proficiency in Python, TensorFlow, PyTorch, Hugging Face Transformers, LangChain, OpenAI API.
Experience working with vector databases like Pinecone, Weaviate, FAISS for AI applications.
Familiarity with ML frameworks like Keras, Scikit-Learn, FastAPI for model deployment.
Understanding of cloud-based AI deployment (AWS, GCP, Azure, or on-premise solutions).
Strong analytical and problem-solving skills, with a passion for AI innovation.
Why Join Us?
Work on cutting-edge AI and ML projects with real-world impact.
Opportunity to shape AI-powered applications from the ground up.
Competitive salary and growth opportunities.
How to Apply?
Complete the given task as mentioned in the Google Doc and submit it on the given email address or WhatsApp number. We will analyse it and the selected candidates would be contacted.
Complete and Submit Task:
Link to task: https://docs.google.com/document/d/1ESwDctSUWI39Pws6XSIyKP4gxJLo-saUEexpGmfjH8E/edit?usp=drive_link
Note: In the task, there is a file. You have to process and complete it and submit it via sharing Github link or drive link on the below mentioned.
Apply & Send Task:
Email: careers@karsaazsolutions.com
OR
WhatsApp: +92 329 3034504
Seniority level- Seniority levelEntry level
- Employment typeFull-time
- Job functionEngineering and Information Technology
- IndustriesIT Services and IT Consulting
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