abra R&D is seeking an experienced Algorithm and Signal Processing Engineer We are seeking a Data Scientist and LLM Engineer with a strong background in Python and hands-on experience in developing and implementing advanced ML and NLP solutions.
* The ideal candidate will bring in-depth technical skills and industry experience to design, develop, and optimize AI/ML models, particularly Large Language Models (LLMs), to address complex challenges in our target sectors ementation in simulation environments.
* Support software, hardware, and firmware teams in implementing algorithms on embedded systems. Responsibilities
* Design, develop, and deploy cutting-edge causal inference and AI models to solve complex problems in user behavior, root cause analysis, gaming and mobile applications domains.
* Develop Python-based solutions for data processing, model training, and deployment in production environments.
* Collaborate with cross-functional teams to integrate AI/ML solutions into enterprise-grade applications.
* Conduct research on the latest advancements in AI, ML, and LLMs to maintain competitive edge.
* Optimize and fine-tune LLMs for performance, scalability, and cost efficiency.
* Analyze and process large datasets to extract actionable insights that drive business value.
* Develop and maintain robust, scalable, and efficient codebases and documentation. Why Join Us
* Be part of a forward-thinking start-up company pushing the boundaries of AI and ML.
* Collaborate with a talented team dedicated to innovation and excellence.
* Opportunities for professional growth and development in cutting-edge technologies.
* The ideal candidate will bring in-depth technical skills and industry experience to design, develop, and optimize AI/ML models, particularly Large Language Models (LLMs), to address complex challenges in our target sectors ementation in simulation environments.
* Support software, hardware, and firmware teams in implementing algorithms on embedded systems. Responsibilities
* Design, develop, and deploy cutting-edge causal inference and AI models to solve complex problems in user behavior, root cause analysis, gaming and mobile applications domains.
* Develop Python-based solutions for data processing, model training, and deployment in production environments.
* Collaborate with cross-functional teams to integrate AI/ML solutions into enterprise-grade applications.
* Conduct research on the latest advancements in AI, ML, and LLMs to maintain competitive edge.
* Optimize and fine-tune LLMs for performance, scalability, and cost efficiency.
* Analyze and process large datasets to extract actionable insights that drive business value.
* Develop and maintain robust, scalable, and efficient codebases and documentation. Why Join Us
* Be part of a forward-thinking start-up company pushing the boundaries of AI and ML.
* Collaborate with a talented team dedicated to innovation and excellence.
* Opportunities for professional growth and development in cutting-edge technologies.
Requirements:
Must-Have Requirements Master’s or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field. 4 + years of professional Python development, designing and implementing end-to-end machine-learning pipelines
* ?Practical experience with Generative AI techniques
* Proven hands-on experience with Large Language Models (LLMs) and Transformer architectures
* Extensive hands-on experience with NLP frameworks and libraries , such as Hugging Face Transformers, PyTorch, and OpenAI APIs
* Proven ability to deploy AI/ML models to production , with a focus on scalability and robustness
* Excellent understanding of unstructured and semi-structured data processing methods. Advantageous Qualifications (Nice to Have)
* Experience working in cloud environments AWS, GCP, or Azure ) and leveraging distributed computing frameworks (e.g., Spark or Ray).
Must-Have Requirements Master’s or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field. 4 + years of professional Python development, designing and implementing end-to-end machine-learning pipelines
* ?Practical experience with Generative AI techniques
* Proven hands-on experience with Large Language Models (LLMs) and Transformer architectures
* Extensive hands-on experience with NLP frameworks and libraries , such as Hugging Face Transformers, PyTorch, and OpenAI APIs
* Proven ability to deploy AI/ML models to production , with a focus on scalability and robustness
* Excellent understanding of unstructured and semi-structured data processing methods. Advantageous Qualifications (Nice to Have)
* Experience working in cloud environments AWS, GCP, or Azure ) and leveraging distributed computing frameworks (e.g., Spark or Ray).
This position is open to all candidates.
