ML Engineer ML models
ML Engineer ML models
Posted on :
29-04-2025
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1 Vacancy
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Job Description
This is a remote position.
We are seeking a ML Engineer (ML models) to join our team.
Responsibilites:
- Design prototype research and build AI systems for organisation.
- Train evaluate and deploy ML models in the domains of Natural Language Processing Information Retrieval AI Agents Large Language Models (LLMs) and Multimodal Large Models (MLMs).
- Improve the quality of company RAGasaservice platform working on features like multilinguality selfsupervised learning agentic behavior and hallucination reduction.
- Publish technical blogs papers and patents.
Requirements
- BS/MS in Computer Science Statistics Electrical/Computer Engineering Mathematics or a related field.
- 5/4 years of experience after BS/MS.
- Strong software engineering basics we work on research but also write production code.
- Knowledge of common challenges in training ML models and solutions to them.
- Familiarity with the technical details of deep learning concepts such as Transformers RetrievalAugmented Generation (RAG) mixture of experts (MoE).
- Proficiency in data/ML libraries such as pandas transformers and torch.
- Handson experience in training ML systems endtoend from data curation to evaluation and deployment.
- Ability to collaborate with crossfunctional teams.
Preferred Requirements:
- PhD in Computer Science/Engineering with 1 years of industry experience.
- Publications in prestigious venues such as ACL NAACL EMNLP NeurIPS ICML ICLR as a key author.
- Experience as an ML engineer in an earlystage high growth environment.
Expertise in the following areas:
- Embedding models rerankers
- Multimodal retrieval question answering and reasoning
- Vector databases BM25
- Planning and reasoning in LLMs
- Multilinguality in LLMs
- NLG Evaluation such as hallucination detection
Benefits
- Work Location: Remote
- 5 days working
BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field. 5+/4+ years of experience after BS/MS. Strong software engineering basics, we work on research but also write production code. Knowledge of common challenges in training ML models and solutions to them. Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE). Proficiency in data/ML libraries such as pandas, transformers, and torch. Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment. Ability to collaborate with cross-functional teams. Preferred Requirements: PhD in Computer Science/Engineering with 1+ years of industry experience. Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author. Experience as an ML engineer in an early-stage, high growth environment.
Employment Type
Full Time
Key Skills
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