Machine Learning Engineer
- Hiring from
- Probably Worldwide
- Work type
- Remote
- Posted
627,789 remote jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
Job Description
This is a remote position.
Job Title: Machine Learning Engineer (Computer Vision & NLP)
Location: Hybrid
Experience: 3+ years
Qualification: Bachelor's/Master's degree in Computer Science, Data Science, or related technical field preferred
Work Schedule: 5-day work week
We’re hiring a Machine Learning Engineer (Computer Vision & NLP) for our client, a leading digital transformation platform powering paperless compliance and document infrastructure for 2,000+ Indian enterprises.
As the Machine Learning Engineer (Computer Vision & NLP), your responsibilities would be:
- Design ML systems, autonomous AI solutions & specialized CV/NLP models.
- Convert data science prototypes into scalable Deep Learning applications.
- Solve complex CV/NLP problems including document classification, information extraction, semantic search & object detection.
- Develop and optimize ML algorithms, LLMs & CV models for deployment and workflow automation.
- Conduct statistical testing, model evaluation & documentation of ML architectures and data pipelines.
Requirements
- 3+ years of experience in ML Engineering, specializing in Computer Vision and/or NLP.
- Advanced Python proficiency and expertise in PyTorch, Transformers & ML frameworks.
- Experience building scalable REST APIs (FastAPI) and deploying models on cloud platforms like AWS.
- Strong understanding of Mathematics, Statistics & Deep Learning architectures (CNNs, RNNs, Transformers).
- Excellent analytical, problem-solving & communication skills, especially with unstructured data.
Benefits
- Flexible working hours & hybrid work setup.
- Bi-annual performance appraisals and a high-trust culture (97 eNPS).
- Opportunity to build mission-critical AI products serving 75M+ users.
- Work in an environment that values initiative, innovation & product impact.
