Tecnots
Company:
https://www.linkedin.com/company/tecnots
Seniority: Not Applicable
Industries: Software Development
Job details:
What you'll do
- Design, develop, and deploy scalable LLM-based applications and services.
- Conduct research and experimentation with state-of-the-art LLMs, fine-tuning, and prompt engineering techniques.
- Optimize LLM performance, latency, and cost efficiency for production environments.
- Collaborate with product managers and other engineering teams to integrate LLM solutions into existing platforms.
- Develop robust evaluation metrics and frameworks for assessing LLM accuracy, bias, and reliability.
- Implement and maintain MLOps practices for LLM lifecycle management, including versioning, deployment, and monitoring.
- Stay abreast of the latest advancements in natural language processing, deep learning, and generative AI research.
What you'll need
- 5+ years of experience in developing and deploying large language models (LLMs) and NLP solutions.
- Strong proficiency in Python and relevant ML/NLP frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
- Extensive experience with prompt engineering, fine-tuning, and evaluating LLMs for various applications.
- Solid understanding of deep learning architectures, transformer models, and natural language processing techniques.
- Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Proven ability to design, implement, and optimize scalable data pipelines for LLM training and inference.
Nice to have
- Experience with MLOps tools and practices for LLM deployment
- Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex)
- Prior contributions to open-source AI/ML projects
- Knowledge of cloud-native LLM services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI)
- Experience with model quantization, distillation, or pruning for efficiency
- Understanding of ethical AI principles and responsible LLM development
Benefits
- Work closely with founders, product leaders, and senior stakeholders
- Opportunities for professional development and continuous learning in AI/ML
Interested?
Send your resume and a brief cover letter to our careers team.
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