Senior AI/ML Engineer

at  3Pillar

\uD83C\uDF1F Accomplished Tech Visionary:
Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. As a senior AI/ML engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.
If you are passionate about discovering solutions hidden in large data sets to improve business outcomes, consider this your pass to the captivating world of Data Science and Engineering! \uD83D\uDE80\uD83D\uDCBB

MINIMUM QUALIFICATIONS:

• Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related fields.
• ideally 1+ years of experience in building AI models with ML, NLP and deep learning.
• Strong interest in AI and a strong desire to do AI research.
• Python and Python ecosystem for AI/ML development
• Familiarity with LLM concepts, information retrieval, recommendation engines and predictive AI
• Prompt engineering skills
• Data engineering skills. Ability to help write scripts to move data, clean data, and shape data for usage with LLMs.
• Familiarity with tooling and APIs using inference engines hosted elsewhere, e.g. on openai.com

ADDITIONAL EXPERIENCE DESIRED:

• Good Software Engineering Background. NodeJS, React Service Component with NextJS
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience in working with huge datasets in a production environment is a plus
• Knowledge of AI/ML techniques, algorithms, and frameworks. Familiarity with Langgraph/Langchain
• Familiarity with Langgraph/Langchain
• Strong analytical and problem-solving skills, with attention to detail.
• Excellent communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences.
• Familiarity with Python libraries such as PyTorch, TensorFlow, and Scikit-Learn.
• Proven ability to work independently and with a team.

• Collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions.
• Implement and deploy AI/ML algorithms and models into production environments.
• Optimize and fine-tune AI/ML models to improve accuracy and efficiency.
• Conduct experiments, perform data analysis, and present findings to stakeholders.
• Develop and maintain documentation for AI/ML algorithms, models, and solutions.
• Stay up-to-date with the latest AI/ML research and technologies and apply them to improve our platform.
• Mentor and provide technical guidance to junior AI/ML engineers or team members.