
Advanced AI Model Developer Position
16 hours ago
Job Overview:
Our organization is seeking a skilled AI/ML Specialist to lead the development of advanced language and vision models. The ideal candidate will have hands-on experience in Large Language Models (LLMs), embeddings, and related frameworks.
Key Responsibilities:
- Fine-tune and train LLMs, Small Language Models (SLMs), and Vision Language Models (VLMs) using Hugging Face, PyTorch, or TensorFlow.
- Work on integrating LLMs with embeddings, transformers, and vector databases.
- Build and manage MLOps pipelines and scalable data engineering workflows.
- Apply techniques such as prompt tuning, prompt chaining, and agent-based approaches for solving real-world use cases.
- Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions.
- Deploy and monitor models in production environments.
- Perform POCs and implement the best architectural choices for model deployment.
Required Skills:
- 4+ years of hands-on experience in AI/ML engineering.
- Proficient in at least 4-5 of the following:
• Fine-tuning LLMs/SLMs/VLMs using Hugging Face, PyTorch, TensorFlow
• Embeddings, Transformers
• Vector databases (e.g., FAISS, Pinecone)
• Prompt engineering (prompt tuning, chaining, agent-based models)
• MLOps & Data Engineering workflows
• Strong Python programming skills
• Experience in model deployment and performance optimization
• Solid understanding of NLP and/or multimodal AI systems
Benefits:
We offer a collaborative hybrid work environment with opportunities for growth and professional development. Our team values innovation, teamwork, and delivering high-quality results.
Technical Skills:
Fine-tuning, LLMs, SLMs, VLMs, HuggingFace, PyTorch, TensorFlow, Embeddings, Transformers, VectorDBs, FAISS, Pinecone, MLOps, CI/CD, Deployment, Monitoring, DataOps, ETL, Prompting, Prompt-Tuning, Prompt-Chaining, Agents, Evaluation, Optimization, Python, APIs
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