Data Scientist - Team Lead

As an AI-ML Data Scientist at our company, you will have the exciting opportunity to work on cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications. Your role will involve owning ML problem framing from business requirements to production rollout and architecting scalable ML pipelines for large-volume, near-real-time telecom data. Key Responsibilities: - Design, develop, and implement cutting-edge AI/ML solutions, including LLMs and Generative AI applications - Own ML problem framing from business requirements to production rollout - Architect scalable ML pipelines for large-volume, near-real-time telecom data - Drive experimentation culture through A/B testing, uplift modeling, and causal analysis - Mentor and technically guide data scientists and ML engineers - Collaborate with platform, infra, and product teams on ML integration - Establish best practices for responsible AI development and deployment - Define best practices for feature engineering, model monitoring, retraining, drift detection, and responsible AI and regulatory compliance Qualifications Required: - 8-10 years of relevant experience as an AI-ML Data Scientist - Strong expertise in traditional machine learning/Deep learning frameworks and tools such as TensorFlow, PyTorch, Keras, and Sklearn - Proven experience in data preparation, including advanced data preprocessing techniques, feature engineering, data quality assessment, and improvement - Proficiency in data exploration tools like Pandas, Numpy, and Polars - Strong programming skills in Python; knowledge of R is a plus - Deep understanding of statistics, probability, ML/DL algorithms, and AI governance - Experience with large-scale data processing, model deployment, MLOps, and cost optimization for AI systems - Track record of at least 5 successful AI/ML projects in production - Excellent communication skills and team leadership ability - Continuous learning mindset for emerging AI technologies Additional Company Details: At our company, you will have the opportunity to work on impactful projects that safeguard Tanla's assets, data, and reputation in the industry. You will be part of a rapidly growing company in the telecom and CPaaS space, with tremendous growth opportunities and a supportive, innovative environment where your contributions are valued. Tanla is an equal opportunity employer that champions diversity and is committed to creating an inclusive environment for all employees. As an AI-ML Data Scientist at our company, you will have the exciting opportunity to work on cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications. Your role will involve owning ML problem framing from business requirements to production rollout and architecting scalable ML pipelines for large-volume, near-real-time telecom data. Key Responsibilities: - Design, develop, and implement cutting-edge AI/ML solutions, including LLMs and Generative AI applications - Own ML problem framing from business requirements to production rollout - Architect scalable ML pipelines for large-volume, near-real-time telecom data - Drive experimentation culture through A/B testing, uplift modeling, and causal analysis - Mentor and technically guide data scientists and ML engineers - Collaborate with platform, infra, and product teams on ML integration - Establish best practices for responsible AI development and deployment - Define best practices for feature engineering, model monitoring, retraining, drift detection, and responsible AI and regulatory compliance Qualifications Required: - 8-10 years of relevant experience as an AI-ML Data Scientist - Strong expertise in traditional machine learning/Deep learning frameworks and tools such as TensorFlow, PyTorch, Keras, and Sklearn - Proven experience in data preparation, including advanced data preprocessing techniques, feature engineering, data quality assessment, and improvement - Proficiency in data exploration tools like Pandas, Numpy, and Polars - Strong programming skills in Python; knowledge of R is a plus - Deep understanding of statistics, probability, ML/DL algorithms, and AI governance - Experience with large-scale data processing, model deployment, MLOps, and cost optimization for AI systems - Track record of at least 5 successful AI/ML projects in production - Excellent communication skills and team leadership ability - Continuous learning mindset for emerging AI technologies Additional Company Details: At our company, you will have the opportunity to work on impactful projects that safeguard Tanla's assets, data, and reputation in the industry. You will be part of a rapidly growing company in the telecom and CPaaS space, with tremendous growth opportunities and a supportive, innovative environment where your contributions are valued. Tanla is an equal opportunity employer that champions diversity and is committed to creating an inclusive environment for all emplo