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Urgent Hiring || Machine Learning Engineer || ALPHARETTA, GA Hybrid || Contract at Alpharetta, Georgia, USA
Email: [email protected]
From:

Sagar,

Sibitalent

[email protected]

Reply to:   [email protected]

Must Have 9 Years exp Minimum 

Role: Machine Learning Engineer

Location: ALPHARETTA, GA Onsite/ Hybrid

Duration: Long Term

Skills: Machine Learning, ML Ops, Natural Language Processing NLP, Statistics, Analytics, Vision, Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, Natural Language Processing

Qualifications: 

Bachelor's / Master's or Ph.D degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field 

5+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions 

Demonstrated 5+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools  Expert in python programming 

5+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures 

5+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings 

Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI) 

Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development 

Strong familiarity with higher level trends in LLMs and open-source platforms  Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions 

Responsibilities: 

As a Lead Data Scientist, you will contribute to the design, development, evaluation and deployment of machine learning, NLP, LLM and GenAI models and data pipelines and mentor junior Data Science team members 

In this role, you will play a pivotal role in designing and implementing our NLP, LLM and GenAI modeling solutions, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines 

You will be work closely in a world class AI ML team comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams 

You will contribute to engineering and developing ML, NLP, Gen AI solutions and be a critical part of contributing to S&P's AI-driven transformation to drive value internally and for our customers 

ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines 

Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements 

Work closely with other members of data science, MlOps, and technology teams in the design, development, and implementation of the ML model solutions 

ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT  Implement model optimizations to improve system efficiency 

NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability 

Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems 

Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing 

Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads 

Assist in Problem-Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions

Sagar Kumar   

Sibitalent Corp. 

E-Mail
:
[email protected]

Website
:
www.sibitalent.com
/www.exarcainc.com

Office
101, E, Park Blvd.-Suite 600, Plano, TX 75074

Keywords: artificial intelligence machine learning Georgia Texas
Urgent Hiring || Machine Learning Engineer || ALPHARETTA, GA Hybrid || Contract
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Fri Jun 28 23:23:00 UTC 2024

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Location: Alpharetta, Georgia