Data Scientist

At Praval, we believe that technology has the power to transform businesses and enrich lives.

As a team, we strive to create innovative software applications, design intuitive user interfaces, develop robust collaborative systems, and explore emerging technologies that push the boundaries of what is possible. Our goal is to deliver outstanding IT solutions that solve complex problems and drive our clients' success in today's digital age.

We believe in recognizing and rewarding exceptional performance, and we offer a competitive compensation package that includes benefits, flexible work arrangements, and a vibrant work-life balance.

If you are passionate about technology, thrive in a fast-paced and dynamic environment, and are eager to make a real impact in the IT industry, Praval is the place for you. Come be a part of our journey as we revolutionize the world of technology and shape the future together

Requirements

Must have skills:

• Hands-on experience in Machine Learning, Deep Learning, Sequence Modelling, and Reinforcement Learning.
• Expertise in Python, including libraries like TensorFlow, PyTorch, or Scikit-learn.
• Full lifecycle experience from understanding problem statements to deployment and monitoring.
• Exposure to LLMs and frame works to build Chat applications
• Basic Understanding of Transformer models.
• Proficient in Python, PySpark, and scripting languages (e.g., Shell scripting)
• Hands-on on building AI applications
  
  

Good To Have Skills

• Strong skills in Azure Synapse Analytics and dedicated SQL pools.
• Proficient in SQL programming and designing efficient queries for analysis
• Building and optimizing ETL workflows with Azure Data Factory.
• Deep understanding of data ingestion (batch and real-time).
• Experience with streaming pipelines and handling large-scale datasets
• Experience with web analytics data and opportunity/sales data preferred
  
  

Required Experience

• 3-4 years of experience in Machine Learning and Deep Learning
• Proven ability to solve business problems through data-driven solutions