Lead Data Scientist

We are seeking an experienced and innovative Lead – Data Scientist to drive the design, development, and deployment of advanced AI/ML solutions across our telecom and CPaaS platforms. The ideal candidate will have strong expertise in Machine Learning, Deep Learning, Generative AI, and MLOps, along with a proven ability to lead teams and deliver scalable AI solutions in production environments.

This role offers an opportunity to work on high-impact business problems, leverage cutting-edge AI technologies, and shape the future of intelligent communication platforms.

You'll be Responsible for:

• Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (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 (A/B testing, uplift modeling, 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: o Feature engineering on messaging and event data o Model monitoring, retraining, and drift detection o Responsible AI and regulatory compliance (telecom + privacy)

What you'd have:

• AI-ML Data Scientist with 8 – 10 years of relevant experience.

• Strong expertise in traditional machine learning/Deep learning frameworks and tools:

• TensorFlow, PyTorch, Keras, Sklearn
• LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)
• Vector databases (Pinecone, Weaviate, ChromaDB)

• Proven experience in data preparation, including:

• Advanced data preprocessing techniques
• Feature engineering
• Data quality assessment and improvement

• Proficiency in data exploration tools (Pandas, Numpy, Polars).

• Strong programming skills in Python; R is a plus.

• Deep understanding of:

• Statistics and probability
• ML/DL algorithms
• AI governance and responsible AI practices

• Experience with: o Large-scale data processing

• Model deployment and MLOps
• Cost optimization for AI systems

• Track record of minimum 5 successful AI/ML projects in production.

• Excellent communication skills and team leadership ability.

• Continuous learning mindset for emerging AI technologies.

Skills:

• Statistics and Mathematics

• Classical Machine Learning

• Deep Learning and Neural Networks

• Generative AI and LLMs

• MLOps and Production Engineering

• Data Engineering

• Model Optimization and Tuning

• MLOps & Production o Model deployment, monitoring, retraining

• Feature stores, experiment tracking
• Cost and latency optimization

Why join us

• Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry.

• Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development.

• Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated.

Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.

www.karix.com