Data Scientist

Job Description:

Responsibilities:

• Collaborate with cross-functional teams to identify opportunities for AI and Data to solve business challenges
  • Design and implement data pipelines to collect, process, and integrate data from various sources
  • Develop and optimize machine learning and deep learning models for predictive analytics, computer vision, natural language processing, and more
  • Leverage big data technologies like Hadoop, Spark, and NoSQL databases to handle large-scale datasets
  • Explore and apply generative AI techniques to generate synthetic data, create content, and automate tasks
  • Implement MLOps practices to streamline the model development lifecycle and enable continuous deployment
  • Present findings and recommendations to stakeholders in a clear and compelling manner
  • Lead cross-functional teams to deliver AI projects on time and within budget
  • Stay current with the latest advancements in AI, data engineering, and related technologies

Skills:

• 4+ years of experience in data science, machine learning, and AI
  • Proficiency in Python, SQL and data visualization tools like Tableau or Power BI
  • Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Keras
  • Knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI
  • Hands-on experience with big data technologies such as Hadoop, Spark, and NoSQL databases
  • Understanding of MLOps principles and tools for model versioning, monitoring, and deployment
  • Familiarity with Kubernetes core concepts like pods, deployments, services, and ingress
  • Strong communication and leadership skills to effectively collaborate with cross-functional teams
  • Ability to work in a fast-paced, agile environment and adapt to changing priorities.Role & responsibilities