Lead Data Scientist

2 days ago


Noida, Uttar Pradesh, India Thanks Buddy Full time
Lead Data Scientist
Our company is a leading provider of practical, scalable, and transformative artificial intelligence and machine learning (AI + ML) solutions for businesses and government entities. Our machine learning offerings empower organizations to enhance profitability and efficiency while minimizing risk. We specialize in various sectors including insurance, government, travel/hospitality, media/entertainment, and financial services. Our products cover procurement, customer engagement, computer vision, large language model (LLM/NLP/NLU/gen AI) and call center solutions.    We are on the lookout for a Data Scientist who will be instrumental in maintaining the high quality of our model deliveries across various projects. The ideal candidate will be adept at exploring alternative methodologies, providing mentorship to junior staff members, and contributing to sales and customer support activities. A solid grasp of technology and the ability to effectively communicate its nuances to both internal and external audiences is essential. The candidate may also assume the roles of a technical lead and a project lead, responsible for estimating work effort, assigning tasks, and establishing and tracking milestones. The role requires efficient coordination with offshore analytic resources, software development teams, clients, and business consultants.    Qualifications:    · An advanced degree (Master's or Ph.D.) in Computer Science, Statistics or a related field.  · Min overall experience of 10 years and relevant 5+ years' data science/machine learning experience  · Professional hands-on experience working with large language models (such as GPT, LLAMA, BERT, or Transformer-based architectures), or other machine learning models.  · Experience with distributed training and optimization techniques for large-scale machine learning models.  · Expert in Python and deep learning frameworks such as TensorFlow or PyTorch.  · Solid understanding of cloud platforms (e.g., GCP, AWS) and their machine learning offerings.  · Strong analytical and problem-solving skills, with the ability to think creatively and propose innovative solutions.  · Proven leadership abilities, with the capacity to steer the team's research and practical applications in a collaborative and fast-paced environment.  · Excellent communication skills and the ability to collaborate effectively in a cross-functional team onshore and offshore.    Responsibilities:    · Develop and tune machine learning models that can generate industry leading performance to solve domain-specific needs.  · Implementing end-to-end machine learning pipelines, including data preprocessing, model training, evaluation, and deployment.  · Continuously researching and staying up to date with recent advancements in select areas of machine learning, applying novel techniques and methodologies to improve our models.  · Conducting experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.  · Troubleshooting and resolving any issues arising during model training and deployment.  · Lead a small team, design the architecture, estimate the efforts, monitor the progress and escalate in time.  · Talk to customers to understand their business requirements and concerns. 
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