Apply here for a ML Engineer job opening at Prachas Technologies

We are looking for an employee for a Machine Learning Engineer role.

Are you interested in building language learning models for our customer data. Do you have a background in Machine Learning or Deep Learning or Language Model building? Would you like to push the boundaries of new age automation and work on artificial data intelligence?

You will have an opportunity to work with a great team. Your work will range from concept creation through to implementation, testing and deployment.

We are looking for top talent in AI or ML or DL or LM as authentic engineers.

The ideal talent should have

Experience with building deep learning and language models
Knowledge and use of other Big Language Models like OpenAI and Cognitive AI
Experience with fine-tuning and model optimizations (for inference speed / cost)
Knowledge of MLOps stacks such as Azure, AWS, Docker, REST APIs, and scaling
Experience collaborating with other developers in an Agile environment: communication, version control, and issue tracking
Ability to learn – you learn new concepts and skills rapidly, and look to understand things in an in-depth way
Passion for DATA in any form and the latest machine learning developments
Ability to read and understand machine learning related papers
Background or professional interest (coupled with good knowledge) in deep learning, language models and transformers
Drive – you’re energetic, hard-working, and persevere through adversity until the job is done, and done well. You are motivated by getting results and always aim for excellence in what you do
Communicative level of English – you will be part of an international team since our colleagues are from all over the world
Friendly personality, respectful approach

Considered a plus

Knowledge of ElasticSearch, Cognitive Search, Kibana, Python frameworks such as Django
University degree / Ph.D. in a related field (Machine Learning, Computer Science, Robotics, etc..)
Deep understanding of how language models work under the hood
Experience with tweaking model based architectures
Previous work experience on language models

Responsibilities

Design, train and deploy custom models based large language models for areas such as data, information extraction, sentiment analysis, language model driven behavior
Deploy the models in the cloud
Design and evaluate model performance and accuracy metrics relevant to the game
Find creative solutions for challenges such as limited amount of data, real-time inference speed requirements and delivering models with a low cost of inference
Perform code reviews, write documentation
Present solutions
Take part in team-wide meetings and discussions
Share your knowledge with the rest of the team

We offer

Awesome Pay.
Great team!
Effective development & processes not delayed by bureaucracy
Work on a product with an ambition for being novel
Opportunity to make a significant impact
Remote collaboration is the norm and side gig if you like
Family-friendly
Team socialization – games, parties, outdoor activities, trips. bring your family members!
Talent development and long career rewards – time dedicated for study.
Company-paid online and offline education courses, books and magazines, participation at industry conferences and workshops