AI and Machine Learning Lead Engineer

4 days ago

Pune, Maharashtra, India LatentBridge Full time
Job Title: AI and Machine Learning Lead Engineer

At LatentBridge, we are seeking an exceptional AI and Machine Learning Lead Engineer to spearhead the development and deployment of sophisticated AI and machine learning models.

This is a high-profile role that requires strong leadership skills, technical expertise, and strategic thinking. If you have 8+ years of experience in AI and ML, with a focus on NLP, LLMs, RAG, and precision learning, we encourage you to apply.

About the Role:Leadership and Strategy:
  • Lead a team of AI and machine learning engineers, providing technical guidance and mentorship to foster innovation and collaboration.
  • Oversee the entire machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment, ensuring scalable solutions.
  • Develop and drive the AI/ML strategy, aligning it with overall business goals and objectives.
Precision Learning and Large Language Models (LLMs):
  • Design, develop, and optimize precision learning algorithms for specific business applications, leveraging transformer architectures like BERT and GPT.
  • 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.
RAG, NLP, and Statistical Analysis:
  • Implement and optimize RAG systems to improve the performance and accuracy of AI solutions, integrating large-scale knowledge bases with LLMs.
  • Develop and implement NLP models for tasks such as text classification, sentiment analysis, named entity recognition, summarization, and question-answering.
  • Analyse model outputs using advanced statistical methods to ensure reliability, accuracy, and explainability, implementing A/B testing and hypothesis testing.
MLOps and Model Deployment:
  • Collaborate with Dev Ops 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, adhering to best practices.
Requirements:
  • 8-10 years' Experience with Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field; Ph D 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 Tensor Flow, Py Torch, scikit-learn, and Hugging Face Transformers.
Salary:

$120,000 - $180,000 per year

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