Data Scientist

Data Scientists

Salary

Responsibilities

• Deploying AI/ML solution to productions and generating value from it
• Developing End-to-End solutions with teammates and working with stakeholders, data team, business team and product team
• Helping dev-ops team to deploy and integrate solution with existing systems
• Data Quality and Availability: Ensuring the quality and availability of data for model training and validation
• Model Performance: Developing models that perform well in real-world scenarios is a complex task
• Scalability: Scaling AI solutions to handle large volumes of data and integrate with various business functions can be technically challenging
• Ethical and Regulatory Compliance: Ensuring that AI models are transparent, fair, and comply with all relevant regulations and ethical guidelines
  

Eligibility

• 1 year of relevant work experience
• Working knowledge of Data Science toolbox like: Python, SQL, Jupyter Notebook, Azure/AWS cloud, PySpark, TensorFlow, PyTorch, Keras, and other Big Data toolkit
• Deep understanding of AI/ML models with experience in LLM, Reinforcement Learning, Computer Vision, and Deep Learning
• Expertise in NLP, Computer Vision, Speech technology(STT, TTS)