Artificial Intelligence/Machine Learning Engineer
2 days ago
About Matellio :
"A NEXT-GEN AI/ML Solutions"
Matellio(CMMI Level 3 Appraised) is a software engineering studio for start-ups, entrepreneurs, large enterprises, and people who have ideas awaiting digital partnership. We serve global clientele coming from diverse industry verticals, striving to help them capitalize on the digital revolution by bringing their products to global marketplaces. Our skills and expertise have been recognized by global leaders including Clutch.co, App Futura, DesignRush, Scrum Alliance, and more. Additionally, we pride in holding a partnership with pioneers like, Siemens MindSphere, Arizona Technology Council, GE Digital Alliance, Google Cloud, and HPE.
Job Description :
We are looking for a strong engineer who has a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
Qualifications :
- Minimum 5 years of experience in NLP and 2 years in Gen AI
- Master's degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Programming experience in Python.
- Hands-on experience ML, NLP and DL. Research experience in them is a plus.
- Hands-on experience with DL frameworks like PyTorch/Tensorflow. Must have experience with training/finetuning and deploying a DL NLP model.
- Hands-on experience with instruction tuning and SFT on LLM. Experience with model quantization or computational optimizations is a plus.
- Proficient in leveraging LangChain for the development and integration of LLMs into diverse applications, demonstrating a strong ability to enhance AI functionalities through innovative uses of natural language processing and understanding.
- Experience with developing ML models at scale from inception to production.
- Familiarity with one of the cloud platforms like AWS, GCP, and Azure.
- Experience with applying LLMs in the Healthcare space is a plus.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Responsibilities :
- Design methods, tools, and infrastructure to push forward the state of the art in large language models.
- Deploy, monitor, and manage ML models in production, ensuring high availability and low latency.
- Manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools.
- Define research goals informed by practical engineering concerns.
- Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Preferred Qualifications :
- Master's degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.
- A Ph.D. in AI, computer science, data science, or related technical fields.
- Direct experience in generative AI and LLM research.
- Healthcare Domain experience
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
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