| Hello Partners,
I hope this message finds you well. This is Akash from VBeyond Corporation, and I wanted to extend my warm wishes for your good health.
At VBeyond, we have earned the trust of our clients over the years, and they rely on us for their staffing needs. I apologize for any intrusion, but we currently have an exciting opportunity for a Sr. Machine Learning Engineer.
Title: Sr. Machine Learning Engineer Location: Remote Duration: Long Term Contract Job Description: Key Responsibilities: - Fine-tune and serve LLMs to help build best-in-class solutions on NLP and Generative AI
- Stay up to date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.
- Be curious with new industry learnings, startups utilizing LLMs in novel ways, and other ways the real world is utilizing LLMs.
- Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.
- Apply, discover, and research techniques to optimize existing LLM training and serving, as well as improving the model quality.
- Generate comprehensive client corpus data from various systems for LLM use cases.
- Build and maintain production ready ML pipelines.
- Build and maintain a production-ready platform to run models in parallel and A/B test.
- Prepare and preprocess data in collaboration with the data engineering team.
Required Job Qualifications - Bachelor’s degree or equivalent experience in MIS, Computer Science, Mathematics, Machine Learning, Data science or related field
- 5+ years of experience in Machine learning related field including prior lead experience.
- Hands-on experience in developing models, in optimizing model training and tuning and in deploying Large Language Models such as GPT, LLaMA, BERT, or Transformer-based architectures with strong knowledge in tokenization and embeddings.
- Knowledge on Natural Language Processing, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, and Inference
- 2+ plus years of experience in developing deep learning models as a Data Scientist and experience in building products backed up ML /AI using NLP algorithms.
- Advanced in-depth knowledge of Predictive Analytics, Statistical modeling, advanced mathematics, data integration concepts and tools
- Strong organizational, analytical, critical thinking and leadership skills
- Demonstrated leadership on mid-large-scale project impacting strategic partners.
- Background in Machine Learning frameworks such as TensorFlow, SparkML or Keras, Scikit Learn
- Proficiency in Scala, Python, or an equivalent language
- Familiarity with Statistical Machine Learning models, Machine Learning concepts like Natural Language Processing, Image Processing, Recommendation Systems, etc.
- Deep knowledge of math, probability, statistics, and algorithms, Machine Learning Development Lifecycle, Model monitoring, Data Exploration, Bias detection/removal, Explainable AI
- Experience with AWS DevOps tools (e.g., Sagemaker, Lambda)
- Experience with CI/CD tools (e.g., github, bamboo) and best practices
Preferred: - Advanced degree or equivalent in Mathematics, Statistics, MIS, Computer Science, Machine Learning, Data science or related field
- Leadership experience
- Understanding of Thrivent’s Technology capabilities
- Experience with Databricks
Thanks & Regards Akash Raj Srivastava Senior Recruiter - IT Call: (908) 546-1968 https://www.linkedin.com/in/akash-srivastava-116a33252/ E: AkashR@VBeyond.com | www.vbeyond.com 390 Amwell Road, Suite # 107, Hillsborough, NJ 08844 Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity. Disclaimer: We respect your Online Privacy. This is not an unsolicited mail. Under Bill S 1618 Title III passed by the 105th US Congress this mail cannot be considered Spam as long as we include Contact information and a method to be removed from our mailing list. If you are not interested in receiving our e-mails then please reply to AkashR@vbeyond.com subject=Remove. Also mention all the e-mail addresses to be removed which might be diverting the e-mails to you. We are sorry for the inconvenience.
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