As an Associate Lead Data Scientist at our company, you will be part of a dynamic team of researchers, data scientists, and developers working on cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. Your primary responsibility will involve developing and optimizing machine learning and generative AI models to address real-world challenges.

Key Responsibilities:

• Develop, optimize, and lead machine learning, natural language processing (NLP), deep learning, and generative AI model/projects.
• Research and implement state-of-the-art algorithms for both supervised and unsupervised learning.
• Handle large-scale datasets in distributed environments.
• Understand business processes to identify and apply the most suitable machine learning approaches.
• Ensure the scalability and performance of machine learning solutions.
• Collaborate with cross-functional teams, including product owners, designers, and developers.
• Address complex data integration and deployment challenges.
• Effectively communicate results through data visualization.
• Engage with global teams operating in different time zones.

Qualification Required:

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
• Proven experience in team management and leadership.
• Hands-on expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with LLMs (Large Language Models), model fine-tuning, and prompt engineering.
• Proficiency in programming languages like Python, R, or Scala for machine learning development.
• Knowledge of cloud-based machine learning platforms like AWS, Azure, and GCP.
• Experience with big data processing using tools like Spark, Hadoop, or Dask.
• Capability to scale machine learning models from prototypes to production.
• Strong analytical and problem-solving skills.

If you are enthusiastic about pushing the boundaries of machine learning and generative AI, we are excited to hear from you! As an Associate Lead Data Scientist at our company, you will be part of a dynamic team of researchers, data scientists, and developers working on cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. Your primary responsibility will involve developing and optimizing machine learning and generative AI models to address real-world challenges.

Key Responsibilities:

• Develop, optimize, and lead machine learning, natural language processing (NLP), deep learning, and generative AI model/projects.
• Research and implement state-of-the-art algorithms for both supervised and unsupervised learning.
• Handle large-scale datasets in distributed environments.
• Understand business processes to identify and apply the most suitable machine learning approaches.
• Ensure the scalability and performance of machine learning solutions.
• Collaborate with cross-functional teams, including product owners, designers, and developers.
• Address complex data integration and deployment challenges.
• Effectively communicate results through data visualization.
• Engage with global teams operating in different time zones.

Qualification Required:

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
• Proven experience in team management and leadership.
• Hands-on expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with LLMs (Large Language Models), model fine-tuning, and prompt engineering.
• Proficiency in programming languages like Python, R, or Scala for machine learning development.
• Knowledge of cloud-based machine learning platforms like AWS, Azure, and GCP.
• Experience with big data processing using tools like Spark, Hadoop, or Dask.
• Capability to scale machine learning models from prototypes to production.
• Strong analytical and problem-solving skills.

If you are enthusiastic about pushing the boundaries of machine learning and generative AI, we are excited to hear from you!