Middle/Senior ML Engineer

About the Role
We are looking for a senior software engineer with a strong passion for data science, research and LLMs. This person should be able to use a combination of conventional algorithms, ML algorithms, data science, data curation, LLM prompting and LLM fine tuning to achieve the best model performance and predictive power.

As a ML Engineer you will have a unique opportunity to not only work with state of the art Large Language Models, existing datasets that span for years of historical customer data; gather and analyze new features best suitable for your tasks and train state of the art ML models, but also help build new processes to collect the required data points and collaborate with other teams to integrate your ML models into Web, mobile or database applications.

What You’ll Do
Gathering and analyzing data sources; developing data insights and preparing data for use in ML algorithms

Building scalable and efficient models on large datasets to solve various classification, clustering or regression tasks

Using state of the art ML techniques and applying transfer learning

Integrating ML models into existing or new applications using the CI/CD approach

Maintenance of ML models in production environment (monitoring, performance optimizations, tracking etc.)

What We’re Looking For

3+ years experience developing ML models

2+ years of full-stack development preferably in a startup engineering environment using various programming languages

Deep understanding of ML algorithms and concepts. Ability to efficiently use deep learning.Record of solving problems with these methods

Proficiency in solving of NLP problems

Strong proficiency in querying and manipulating large datasets for analytical purposes using SQL

Strong analytical and problem solving skills

Good communication and relationship skills

Strong proficiency in Python for ML

Proficiency with data visualization tools Understanding of statistical concepts and math 

Bachelor’s Degree — preferably a Master’s or PhD in Computer Science, Engineering, Statistics, or Information Systems

Perks and Benefits

Time off throughout the year (paid and unpaid)

Professional development support and encouragement

Resources to help improve your overall well-being

Free membership to dive into JA product