We are looking for a skilled Machine Learning Engineer / Data Scientist with strong expertise in Computer Vision, NLP, and Data Science, who has hands-on experience delivering production-ready ML/DL solutions and working on real-world business problems end to end.
We offer: * Competitive compensation * Flexible working hours * Flexible working location (Remote/Office/Mixed) * Technical equipment * Professional development and regular Performance Appraisals * English courses * Health Insurance * Online courses * Corporate events, tech talks, and so on
Key Responsibilities * Design, develop, and deploy end-to-end ML/DL solutions, from data collection to model training, optimization, and production deployment * Build and optimize Computer Vision models for object detection and video analytics with real-time inference * Develop, research, and implement NLP solutions for text processing, classification, and information extraction * Create and maintain scalable machine learning and deep learning pipelines * Deploy models to different environments * Optimize and fine-tune models * Perform data analysis and visualization to deliver actionable business insights * Collaborate with product, engineering, and business stakeholders
Required Skills & Qualifications * 3+ years of commercial experience in Data Science / Machine Learning * Hands-on experience in Computer Vision and NLP * Strong proficiency in Python; working knowledge of R and SQL * Solid understanding of Machine Learning and Deep Learning * Hands-on experience with PyTorch, TensorFlow, or Keras * Experience with OpenCV, YOLO / Ultralytics, or similar CV frameworks * Practical experience with NLP libraries * Experience deploying models to production environments * Familiarity with Docker, AWS, and version control systems (Git) * Ability to work independently and as part of a cross-functional team * Upper-Intermediate level of English or higher
Preferred Qualifications * Experience with edge AI deployments * Knowledge of LLMs and frameworks such as LangChain * Experience with MLOps tools (MLflow, CI/CD for ML) * Background in Applied Mathematics or Statistics
Join us and be part of a team that values innovation, collaboration, and excellence in sales!
