AI/ML Data Scientist

• Design, develop, and deploy machine learning models for predictive analytics, NLP, computer vision, and other AI applications.
• Analyze large, complex datasets to extract insights and improve AI-driven solutions.
• Implement deep learning frameworks (TensorFlow, PyTorch) and optimize model performance.
• Develop and fine-tune natural language processing (NLP) models for text analytics, chatbots, and speech recognition.
• Work on computer vision projects, including image classification, object detection, and segmentation.
• Use cloud platforms (AWS, GCP, Azure) for scalable AI/ML model deployment.
• Build and manage data pipelines, feature engineering, and preprocessing workflows.

• Collaborate with data engineers, software developers, and business teams to integrate AI models into applications.
• Stay updated with the latest trends in AI/ML, including generative AI, transformers, and federated learning.
  

Requirements

• 9+ years of experience in AI/ML, Data Science, or related fields.
• Strong proficiency in Python, R, or Scala for ML development.
• Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn).

• Looking to get Placed? Try our Placement Guarantee Plan

  Get Hired
  Expertise in statistical modeling, deep learning, and neural networks.
• Experience with NLP, Computer Vision, and Time-Series Forecasting.
• Strong knowledge of data preprocessing, feature engineering, and data visualization.
• Familiarity with big data technologies (Hadoop, Spark) and databases (SQL, NoSQL).
• Experience deploying models using APIs, Docker, Kubernetes, and cloud services.
• Strong problem-solving skills and ability to work on end-to-end AI solutions.
• AI/ML certifications (Google TensorFlow Developer, AWS Certified Machine Learning) are a plus.
  

Skills: statistical modeling,apis,data visualization,cloud platforms (aws, gcp, azure),learning,feature engineering,hadoop,scala,natural language processing,spark,gcp,predictive analytics,kubernetes,data science,data preprocessing,nlp,sql,deep learning,python,pytorch,azure,machine learning,nosql,artificial intelligence,aws,r,cloud services,docker,computer vision,scikit-learn,tensorflow,neural networks,big data technologies,natural language processing (nlp)