Senior Machine Learning Specialist
4 days ago
About Talent Nexa Consulting
Talent Nexa Consulting is a renowned leader in AI-driven solutions, dedicated to delivering cutting-edge innovations that transform industries. Our team of experts is passionate about harnessing AI to tackle complex challenges and create impactful products.
Job Overview
We are seeking an exceptional Senior Machine Learning Engineer to lead our team's efforts in developing advanced AI solutions. The ideal candidate will possess a strong background in machine learning, natural language processing, computer vision, and speech processing, with expertise in leading projects, collaborating with cross-functional teams, and driving innovation.
Key Responsibilities
- Direct and manage small teams of annotators and ML engineers to deliver high-quality AI products.
- Develop and deploy sophisticated machine learning models for diverse applications, including LLMs, RAG, NLP, computer vision, and speech processing.
- Design and implement Retrieval Augmented Generation (RAG) systems to provide accurate responses to user queries and maintain chat context for seamless interaction.
- Fine-tune and deploy state-of-the-art language models (e.g., GPT-3.5, GPT-4, LLaMA2, Mistral-7B, Falcon) for question answering and other applications.
- Develop customized hierarchical parsers and chunking algorithms for processing image and text PDFs and Doc files.
- Implement keyphrase extraction, sentiment analysis, and classification models to offer valuable insights from user data.
- Create and maintain automated batch processes for large-scale image segmentation and inpainting tasks.
- Collaborate with clients to understand their needs and deliver tailored AI solutions.
- Stay up-to-date with the latest advancements in machine learning and AI technologies.
Requirements
- Masters degree in Computer Science, Machine Learning, or a related field.
- 4+ years of experience in machine learning, natural language processing, computer vision, and speech processing.
- Proficiency in Python, TensorFlow, PyTorch, and other relevant ML frameworks.
- Experience with LLMs, RAG, Langchain, Llama-index, Huggingface, and other AI tools.
- Strong skills in SQL, Shell scripting, Docker, and cloud platforms (Azure, GCP).
- Experience with image classification, segmentation, and inpainting.
- Excellent teamwork, leadership, and client-handling skills.
- Strong presentation and communication skills.
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