Senior Data Scientist

Qloron Technology; Pune District; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Qloron Technology is seeking a Senior Data Scientist in Pune, India, with deep GenAI, ML/DL and advanced analytics expertise. You will design, deploy, and maintain end-to-end ML solutions at scale for telecom use cases, including network optimization, churn prediction, fraud detection, and AI-driven customer experiences.

You will lead GenAI initiatives (LLMs, transformers, RAG pipelines) and collaborate across networks, marketing, IT and business teams.

Qualifications

• Extensive experience in ML, DL, CNNs and advanced analytics.
• Strong GenAI model experience with GPT, BERT, Llama, LangChain.
• Proficiency in Python with libraries like scikit-learn, TensorFlow, PyTorch.
• End-to-end ML lifecycle management and MLOps.
• Cloud familiarity (AWS/GCP/Azure) and deployment tools.
• SQL, Spark/Hive, and data pipelines.
• Telecom data experience is a strong plus.
• Mentoring teams or leading AI projects.

Responsibilities

• Design, develop, and deploy ML models for Telco use cases.
• Lead Gen AI solutions (LLMs, transformers, RAG pipelines).
• Collaborate with cross-functional teams to define AI-driven solutions.
• EDA, feature engineering, model selection and evaluation.
• Drive end-to-end ML deployment with CI/CD and monitoring.
• Optimize model performance for real-time and edge scenarios.
• Evaluate new tools and AI frameworks for capabilities uplift.
• Provide technical mentorship to junior data scientists.

Skills

GenAI models

Python programming

ML/DL fundamentals

MLOps

Cloud platforms

SQL & big data

Spark/Hive

Telecom domain knowledge

Mentoring teams

Tools

Docker

Kubernetes

MLflow

FastAPI

Hugging Face

Job description

Role & responsibilities

We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI, Machine Learning, Deep Learning, and advanced Data Analytics. The ideal candidate will have hands‑on experience in building, deploying, and maintaining end‑to‑end ML solutions at scale, preferably within the Telecom domain.

You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience.

Key Responsibilities:

• Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as:
• Network optimization
• Customer churn prediction
• Usage pattern modeling
• Fraud detection
• Gen AI applications (e.g., personalized recommendations, customer service automation)

Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like Open AI, Hugging Face, Lang Chain, etc.

Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions.

Perform exploratory data analysis, feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured).

Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability).

Optimize model performance and latency in production, especially for real-time and edge applications.

Evaluate and integrate new tools, platforms, and AI frameworks to advance client's data science capabilities.

Provide technical mentorship to junior data scientists and data engineers.

Required Qualifications & Skills:

• 69 years of industry experience in Machine Learning, Deep Learning, CNN’S, and Advanced Analytics.
• Strong hands‑on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines).
• Proficiency in Python, and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc.
• Experience in end-to-end model lifecycle management, from data preprocessing to production deployment (MLOps).
• Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.).
• Strong understanding of SQL, big data tools (Spark, Hive), and data pipelines.
• Excellent problem-solving skills with a strong analytical mindset and business acumen.
• Prior experience working on Telecom datasets or use cases is a strong plus.

Preferred Skills:

• Experience with vector databases, embeddings, and retrieval-augmented generation (RAG pipelines).
• Exposure to real-time ML inference and streaming data platforms (Kafka, Flink).
• Knowledge of network analytics, geo-spatial modeling, or customer behavior modeling in a Telco environment.
• Experience mentoring teams or leading small AI/ML projects.