ML Lead

1 week ago

Chennai Gurugram Mumbai, India Xoriant Full time ₹ 12,00,000 - ₹ 36,00,000 per year
  • Role: Individual will be responsible for overseeing a team of data scientists and driving data-driven decision-making within the organization
  • Key Responsibilities:
  • This role will involve developing, implementing, and managing advanced analytics and machine learning models to extract insights and create predictive solutions.
  • Build solutions using Statistics, Machine Learning, Deep Learning or Generative AI
  • Interact with client for understanding requirements and discussing solutions
  • Set clear goals, assign tasks, and ensure the team's performance meets or exceeds expectations.
  • Identify new data sources and technologies that can improve data analysis and modeling capabilities.
  • Ensure data privacy and compliance with relevant regulations
  • Job Requirement:
  • Bachelors or higher degree in a relevant field like Computer Science, Statistics, Mathematics, Engineering
  • 8+ years industry experience in a data science or Machine Learning projects & at least 2 years of experience in Leading a Data Science or ML teams with 3 or more members.
  • Strong experience in Machine Learning is a must with an acumen for statistical analysis of structured data
  • Experience in Deep Learning, Computer Vision is not critical and is optional
  • Generative AI is not critical but good to have skill
  • Should have implemented solutions using various ML models such as SVM, Random Forest, XG Boost, prediction modelling, forecasting modelling, anomaly detection
  • Strong programming skills in languages such as Python, PySpark and SQL
  • Expertise and fluency in ML technologies & frameworks such as Scikit Learn, PANDAS, Numpy, Spark, etc
  • Exposure to MLOps and Model Training Pipeline development on cloud will be an advantage
  • Experience in frameworks such as TensorFlow, Keras, PyTorch is not critical and is optional
  • Experience of requirement understanding & solution designing
  • Good to have knowledge in Generative AI techniques prompt engineering, LLMs, Vector DB
  • Familiarity with Cloud platforms, particularly Azure, AWS or GCP, and expertise in designing, developing, and deploying cloud-based solutions
  • Excellent problem-solving skills and the ability to translate business questions into data science projects.
  • Strong leadership, communication, and project management skills.
  • Exceptional standards for quality and strong attention to detail.
  • Ability to manage multiple projects and on-demand business requests simultaneously.
  • Relevant certifications (e.g., Azure Data Scientist Associate, AWS ML Specialty) can be an advantage

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