AI & Machine Learning Lead Engineer
3 weeks ago
Job Title: AI & Machine Learning Lead Engineer
About the Role:
LATENTBRIDGE is seeking a highly skilled AI & Machine Learning Lead Engineer to lead the development and deployment of advanced AI and machine learning models. The ideal candidate will have a strong background in precision learning, large language models (LLMs), retrieval-augmented generation (RAG), natural language processing (NLP), and statistical methods for output analysis.
Key Responsibilities:
- Leadership and Strategy: Lead and manage a team of AI and machine learning engineers, providing technical guidance and mentorship. Oversee the entire machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
- Precision Learning and Large Language Models (LLMs): Design, develop, and optimize precision learning algorithms for specific business applications. Lead efforts in developing, fine-tuning, and deploying large language models (LLMs) to address various use cases such as text generation, summarization, translation, and conversational AI.
- Natural Language Processing (NLP): Develop and implement NLP models for tasks such as text classification, sentiment analysis, named entity recognition, summarization, and question-answering.
- Output Analysis through Statistical Methods: Analyze model outputs using advanced statistical methods to ensure reliability, accuracy, and explainability.
- MLOps and Model Deployment: Collaborate with DevOps and data engineering teams to implement MLOps practices for CI/CD pipelines, model monitoring, and governance. Ensure scalable deployment of AI/ML models on cloud platforms (AWS, GCP, Azure) or on-premises environments.
Requirements:
- 8-10 years' experience with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field; PhD is a plus.
- 5+ years of experience in machine learning and AI, with a strong focus on NLP, LLMs, RAG, and precision learning.
- Proven track record of leading AI/ML teams and projects from conception to deployment.
- Expertise in Python and relevant ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers.
- Strong understanding of NLP techniques, including transformer architectures (e.g., BERT, GPT).
- Experience in RAG techniques, knowledge retrieval systems, and integrating LLMs with external data sources.
- Proficiency in statistical analysis and hypothesis testing, with a strong foundation in experimental design.
Preferred Qualifications:
- Experience with cloud services (AWS, GCP, Azure) for model deployment and scaling.
- Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines for ML.
- Knowledge of advanced AI techniques such as reinforcement learning, meta-learning, and unsupervised learning.
- Strong publication record or contributions to the AI/ML community.
How to Apply: Kindly share your resume to mansoor.khan@latentbridge.com
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