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Exciting Opportunity for ML and NLP/Gen AI/LLM Scientists
Are you passionate about leveraging automation and AI/ML to drive business value? We have a unique opportunity for hands-on ML scientists and NLP/Gen AI/LLM experts to advance their careers and apply their technical expertise in NLP, deep learning, GenAI, and LLMs. Join us in conducting cutting-edge applied research and making a significant impact across multiple stakeholders.
Responsibilities and Impact
ML, Gen AI, NLP, LLM Model Development:
Design and develop custom ML, Gen AI, NLP, and LLM models for batch and stream processing-based AI/ML pipelines.
Work on data ingestion, preprocessing, search and retrieval, Retrieval Augmented (RAG), NLP/LLM model development, fine-tuning, and prompt engineering.
Collaborate with data science, MLOps, and technology teams to ensure solutions meet all technical and business requirements.
ML, NLP, LLM Model Evaluation:
Develop, validate, and maintain robust evaluation solutions and tools to assess model performance, accuracy, consistency, and reliability.
Implement model optimizations to enhance system efficiency.
NLP, LLM, Gen AI Model Deployment:
Partner with the MLOps team to deploy machine learning models into production environments, ensuring reliability and scalability.
Internal Collaboration:
Work closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to integrate machine learning models smoothly into production systems.
Experience Required:
Bachelor's, Masters, or Ph.D. degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or a related field.
8+ years of professional hands-on experience with large sets of structured and unstructured data to develop data-driven analytics and insights using ML, RAG, and NLP.
3+ years of hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in Python programming.
3+ years of experience developing NLP models, ideally with transformer architectures.
3+ years of experience implementing information search and retrieval at scale, using solutions ranging from keyword search to semantic search using embeddings.
Knowledge and hands-on experience with developing or tuning Large Models (LLM) and Generative AI (GAI).
Experienced with NLP, LLMs (extractive and generative), fine-tuning, and LLM model development. Strong familiarity with trends in LLMs and open-source platforms.
This role is fully remote as long as you are based in the US. The position will pay between $120k-$240k depending on experience. Send your resume now
Exciting Opportunity for ML and NLP/Gen AI/LLM Scientists
Are you passionate about leveraging automation and AI/ML to drive business value? We have a unique opportunity for hands-on ML scientists and NLP/Gen AI/LLM experts to advance their careers and apply their technical expertise in NLP, deep learning, GenAI, and LLMs. Join us in conducting cutting-edge applied research and making a significant impact across multiple stakeholders.
Responsibilities and Impact
ML, Gen AI, NLP, LLM Model Development:
Design and develop custom ML, Gen AI, NLP, and LLM models for batch and stream processing-based AI/ML pipelines.
Work on data ingestion, preprocessing, search and retrieval, Retrieval Augmented (RAG), NLP/LLM model development, fine-tuning, and prompt engineering.
Collaborate with data science, MLOps, and technology teams to ensure solutions meet all technical and business requirements.
ML, NLP, LLM Model Evaluation:
Develop, validate, and maintain robust evaluation solutions and tools to assess model performance, accuracy, consistency, and reliability.
Implement model optimizations to enhance system efficiency.
NLP, LLM, Gen AI Model Deployment:
Partner with the MLOps team to deploy machine learning models into production environments, ensuring reliability and scalability.
Internal Collaboration:
Work closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to integrate machine learning models smoothly into production systems.
Experience Required:
Bachelor's, Masters, or Ph.D. degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or a related field.
8+ years of professional hands-on experience with large sets of structured and unstructured data to develop data-driven analytics and insights using ML, RAG, and NLP.
3+ years of hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in Python programming.
3+ years of experience developing NLP models, ideally with transformer architectures.
3+ years of experience implementing information search and retrieval at scale, using solutions ranging from keyword search to semantic search using embeddings.
Knowledge and hands-on experience with developing or tuning Large Models (LLM) and Generative AI (GAI).
Experienced with NLP, LLMs (extractive and generative), fine-tuning, and LLM model development. Strong familiarity with trends in LLMs and open-source platforms.
This role is fully remote as long as you are based in the US. The position will pay between $120k-$240k depending on experience. Send your resume now