Gen AI Consultant
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Austin, TX
🧪
Not Applicable
Company Description
MSRcosmos is an IT Services subsidiary of the MSRcosmos Group,
A U.S.-based multinational conglomerate. MSRcosmos Group focused on diverse ventures ranging from IT services to real estate and education. Together, both companies believe that business success and serving humanity are symbiotic and strive to excel at both.
Job Description
Position: Gen AI Consultant
Location: Austin TX (Onsite)
Type: Contract
Key Qualifications
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or M.S. in related field with 3+ years’ experience applying machine learning engineer to real business problems
Additional Information
All your information will be kept confidential according to EEO guidelines.
MSRcosmos is an IT Services subsidiary of the MSRcosmos Group,
A U.S.-based multinational conglomerate. MSRcosmos Group focused on diverse ventures ranging from IT services to real estate and education. Together, both companies believe that business success and serving humanity are symbiotic and strive to excel at both.
Job Description
Position: Gen AI Consultant
Location: Austin TX (Onsite)
Type: Contract
Key Qualifications
- 5+ years building NLP/AI software professionally and successfully releasing to customers.
- 5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models.
- Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
- Familiarity with deploying model for large scale inferencing & optimizations.
- Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
- A strong track record of shipping products and publications / patents.
- Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or M.S. in related field with 3+ years’ experience applying machine learning engineer to real business problems
Additional Information
All your information will be kept confidential according to EEO guidelines.