LLM/ML Engineer

2 Years ago • 1-2 Years

Job Summary

Job Description

The LLM/ML Engineer will be responsible for developing and deploying state-of-the-art AI/ML models and solutions. They will collaborate with cross-functional teams to understand and follow project requirements and deliver tasks. This role involves designing and implementing scalable and efficient AI/ML algorithms, evaluating AI/ML techniques, and writing high-quality code. The engineer will also need to evaluate model quality, maintain documentation, and stay updated with emerging AI/ML technologies. A Master's degree in a related field is required, and the role is based in Greece and is fully remote.
Must have:
  • 18+ months professional experience in AI/ML engineering.
  • Excellent knowledge of AI/ML algorithms, and frameworks.
  • Good knowledge of GenAI and LLM models and architectures.
  • Solid understanding of data science principles.
  • Proficiency in Python development for AI/ML.
Good to have:
  • Experience with Search Engine and Information retrieval.

Job Details

What We Do: AI Service Management (AISM):

Aisera offers the world's first AI-driven service experience solution that automates operations and support for IT, Sales and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to users. Aisera fast tracks the digital transformation journey with user and service behavioral intelligence that drives end-to-end automation of tasks, actions, and business processes. Aisera is a top-tier, VC-funded startup headquartered in Palo Alto, Calif. and a strategic partner with AWS, Microsoft Azure, Google Cloud, ServiceNow and Salesforce.

Aisera has received numerous recognitions, including the following: Forbes AI50; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; Aragon Research Hot Vendor; TiE50 Startup Award; and Silicon Review 50 Most Admired Companies.

LLM/ML Engineer

We are looking for a highly skilled Junior LLM/ML Engineer (~2 years professional experience) to join our team and help drive our AI and ML initiatives, including LLM finetuning, hybrid Search and NLP for dialog agents, to new heights. If you are passionate about AI/ML, knowledgeable about the latest developments, especially in LLMs, and have a track record of academic and professional excellence, we want to hear from you!

This role will be based in Greece and is fully remote.

Responsibilities:

  • Develop and deploy state-of-the-art AI/ML models and solutions.
  • Collaborate with cross-functional teams, including product managers, software engineers, and data engineers, to understand and follow project requirements, and task deliverables.
  • Design and implement scalable and efficient AI/ML algorithms and models.
  • Evaluate and select appropriate, state of the art AI/ML techniques, algorithms, and libraries to meet task requirements. 
  • Write code of high quality using solid engineering principles. 
  • Evaluate quality, performance, and accuracy of AI/ML models through rigorous testing and validation processes.
  • Maintain detailed documentation of your task outcomes, including systems and algorithms.
  • Develop and maintain a deep understanding of emerging technologies in AI/ML.

Basic and Additional Qualifications:

  • Minimum of 18 months of professional experience in AI/ML engineering
  • Excellent knowledge of AI/ML algorithms, techniques, and basic frameworks, such as TensorFlow and PyTorch.
  • Good knowledge with GenAI and LLM models and architectures.
  • Solid understanding of data science principles and best practices, including data preprocessing, feature engineering, and model evaluation.
  • Proficiency in Python development for AI/ML tasks.
  • Excellent problem-solving and analytical skills.
  • Communication and interpersonal skills, with the ability to communicate complex concepts to technical stakeholders.
  • Ability to work effectively in a fast-paced, collaborative environment.
  • Master's degree in Computer Science, Engineering, Data Science, or a related field; PhD preferred
  • Some experience with Search Engine and Information retrieval algorithms and techniques is preferred.

 

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