Machine Learning Engineer

Creates digital products that make people happy and businesses grow, focusing on Generative AI, Machine Learning & Data technologies.
Machine Learning
Mid-Level Software Engineer
In-Person
AI · Enterprise SaaS

Description For Machine Learning Engineer

In The Pocket is a dynamic company focused on creating impactful digital products through AI, ML, and Data technologies. As a Machine Learning Engineer, you'll be at the forefront of developing and scaling AI solutions that serve hundreds of thousands of users. You'll work in a collaborative environment with Senior ML Engineers, Product Managers, and Software Engineers to implement and improve machine learning use cases.

The role demands expertise in MLOps and modern NLP applications, with a focus on scalability and user impact. You'll be part of a multidisciplinary team where everyone contributes to the product's success. The company values continuous learning and knowledge sharing, encouraging participation in blogs, talks, and guest lectures.

The ideal candidate combines technical expertise with strong communication skills and embraces the company's core values: Ownership, Integrity, Lead & Educate, Agility, and Team spirit. You'll have the autonomy to make decisions and the support to experiment and grow professionally.

Working at In The Pocket means joining a culture that values trust, openness, and continuous improvement. The company provides time for experimentation and budget for personal development. You'll be part of an environment that balances technical excellence with practical product implementation, all while maintaining a strong focus on user needs and business growth.

Last updated 8 minutes ago

Responsibilities For Machine Learning Engineer

  • Designing, developing, testing, improving, deploying, and scaling AI solutions
  • Collaborating with cross-functional teams
  • Keeping up with the latest Data, Machine Learning & Generative AI advances
  • Participating in knowledge-sharing
  • Communicating and setting expectations

Requirements For Machine Learning Engineer

Python
  • Bachelor/master/PhD in Computer Science or related field, or proven track record
  • Knowledge of Python and major machine learning frameworks
  • Experience with AI platforms like Huggingface, replicate
  • Experience in MLOps, Data versioning, & LLM Orchestration frameworks
  • Broad awareness of ML possibilities and limitations
  • Affinity with product design and engineering

Benefits For Machine Learning Engineer

Education Budget
  • Professional development budget
  • High level of autonomy
  • Time for experimentation

Interested in this job?

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