Curious about the future?
Help us build it.

Key Responsibilities

• Research and develop Machine Learning & Deep Learning models for textual data analysis, object detection, image classification, and natural language processing.
• Build and optimize data processing pipelines to extract information and generate cleaned datasets from various sources such as image, text, JSON structured data, and tabular data.
• Develop AI algorithms and Deep neural network models such as transformer and conditional VAE, Diffusion models, and Graph neural networks and train them on the preprocessed datasets.
• Build tools and APIs to integrate AI/ML models into the company’s other components and frameworks.
• Conduct research and apply cutting-edge technologies in Computer Vision, Text mining, Natural Language Processing, and Deep learning.

Job Requirements

Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.

At least 2 years of experience working in the field of AI/ML, especially in projects related to deep learning, textual data, or spatial data.

Programming Skills: Proficient in Python, TensorFlow, PyTorch, or other AI frameworks. Strong understanding of Machine Learning, Deep Learning, Text mining, NLP, and Computer Vision.

Techniques & Applications: Object Detection, Segmentation (Semantic & Instance), Classification, Object Matching, Text Matching, Text Transformation.

Frameworks & Tools: scikit-learn, YOLO, OpenCV, Detectron2, LayoutLM, Graph Neural Network frameworks, Seq2Seq modelling, Pytorch, TensorFlow, FastAI, Docker.

Preferred Qualifications

• Experience with Big Data frameworks such as Spark, Kafka, or Hadoop.
• Knowledge of MLOps and deploying AI/ML models in production environments such as Google Cloud, AWS, and Azure.
• Experience with Agent Development Kit such as Google ADK, PydanticAI, CrewAI, LangChain, and LangGraph.