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.

Youll 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 youd 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 Tanlas 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