Job Title -
Decision Science Practitioner Consultant S&C GN
Management Level: Consultant
Location: Bangalore/ Kolkata/Gurugram/Hyderabad
Must have skills:
Telecom Network & Data Science
Good to have skills:
Data Science
Job Summary:
We are seeking a highly skilled and motivated
Data Science Consultant
to design, develop, and implement
AI/ML and Generative AI solutions
for
telecom network use cases
. The consultant will work closely with business stakeholders, product teams, and engineering groups to translate complex telecom data challenges into scalable, innovative AI-driven solutions that improve network performance, customer experience, and operational efficiency
Key Responsibilities
Project and Team Leadership
- Collaborate with domain experts and business teams to identify and define AI/ML/GenAI use cases within telecom networks (e.g., anomaly detection, fault prediction, traffic forecasting, automated troubleshooting, knowledge assistants).
- Lead cross-functional teams to deliver data science solutions, ensuring technical excellence and client satisfaction.
- Independently manage end-to-end client engagements, including scoping, planning, delivery, and stakeholder communication.
- Mentor junior team members and foster a collaborative, high-performance culture.
- Translate business requirements into AI-driven solution architectures and PoCs aligned with design guidelines.
Generative AI Expertise
- Translate business requirements into AI-driven solution architectures and PoCs aligned with design guidelines.
- Provide technical consulting, present findings, and guide stakeholders on best practices for AI/ML adoption in telecom.
- Design and deploy GenAI solutions (NLP, CV, multimodal) using advanced frameworks.
- Architect agentic AI workflows with LangChain, LlamaIndex, AutoGen, and enterprise integrations.
- Optimize AI agents and RAG pipelines (Pinecone, Weaviate, FAISS, Milvus) for accuracy and scalability.
- Advise clients on GenAI adoption, aligning solutions with business objectives and tech ecosystems.
Cloud Platform Expertise
- Design and deliver cloud-native AI/ML platforms on Azure, AWS, or GCP, ensuring scalability, security, and cost optimization across client environments.
- Advise on MLOps best practices – from model training and deployment to monitoring and governance – leveraging platforms such as SageMaker, Azure Machine Learning, and Vertex AI.
- Integrate AI solutions with enterprise data ecosystems, including data lakes, warehouses, and real-time pipelines.
Data Science and Engineering
- Develop and scale advanced ML solutions (predictive modeling, recommendation engines, optimization algorithms) that directly impact business outcomes.
- Lead the design of robust data architecture and feature engineering pipelines, supporting GenAI and ML applications across structured, unstructured, and multimodal datasets.
Business Impact and Innovation
- Translate business challenges into actionable data science solutions with measurable outcomes.
- Collaborate with business stakeholders to design data-driven strategies and identify opportunities for innovation.
Required Qualifications
- Experience: 4–8 years of experience in data science / machine learning, with at least 2 years applying AI/ML in telecom or network-related domains.
- Education: Master’s Degree in a quantitative discipline (e.g., Computer Science, Statistics, Applied Mathematics, or related field).
- Industry Knowledge: Experience in Telecom Network
Technical Skills
- Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with NLP, LLMs, and Generative AI frameworks (LangChain, Hugging Face, Azure OpenAI, etc.).
- Strong understanding of telecom network data (OSS/BSS, KPIs, alarms, logs, CDRs, performance counters).
- Knowledge of time series analysis, anomaly detection, and predictive modeling in telecom scenarios.
- Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools for model deployment and monitoring.
- Strong problem-solving, consulting, and stakeholder communication skills.
Preferred Skills
- Experience in 5G/4G network analytics, RAN/Core KPIs, and SON use cases.
- Exposure to knowledge graph techniques for telecom use cases.
- Prior experience working in consulting / client-facing roles delivering AI/ML solutions.
- Contributions to AI/ML/GenAI open-source projects or research publications.
