Senior Machine Learning Engineer
4 weeks ago
Job Title: Senior Machine Learning Engineer
About Us: Talent Nexa Consulting is a leading AI-driven tech company committed to pushing the boundaries of technology to deliver innovative solutions.
Job Summary: We are seeking a dedicated and experienced Senior Machine Learning Engineer to lead projects, collaborate with cross-functional teams, and drive the development of cutting-edge AI solutions.
Key Responsibilities:
- Lead and manage small teams of annotators and ML engineers to deliver high-quality AI products.
- Develop and deploy machine learning models for various applications, including LLMs, RAG, NLP, computer vision, and speech processing.
- Design and implement Retrieval Augmented Generation (RAG) systems to answer user queries from documents 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 custom hierarchical parsers and chunking algorithms for processing image and text PDFs and Doc files.
- Implement keyphrase extraction, sentiment analysis, and classification models to provide 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:
- Master's 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.
- Publications and certifications in relevant fields are a plus.
Preferred Qualifications:
- Experience working with Dialogflow and Rasa for voicebot and chatbot development.
- Experience in developing AI solutions for diverse domains such as healthcare, automotive, oil and gas, and real estate.
- Proven track record of successful project delivery and impact on business outcomes.
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