Location : India (Anywhere in India)

About Tetherfi :

At Tetherfi, we create intelligent solutions that drives business and increase productivity. We combine industry expertise, technological capabilities and human-centred approach to help businesses evolve from thinking digital to being digital.

The Right Individual :

We are looking for Technical Lead who would lead and work alongside a growing research and development team to improve existing products and build new products. The ideal candidate would be someone with understanding of data structures, data modelling and software architecture.

Role & Responsibilities :

- Lead end-to-end AI/ML solution design and development for scalable, enterprise-grade contact center products

- Build, train, fine-tune, evaluate, and deploy LLM/NLP models for conversational AI, speech analytics, and automation

- Develop and maintain scalable ML pipelines with MLOps best practices - versioning, monitoring, retraining, and performance optimization

- Drive AI innovation by researching and applying modern technologies such as GenAI, RAG, embeddings, vector search, and multimodal models

- Translate business and product requirements into data-driven AI features with measurable customer experience impact

- Collaborate closely with full-stack engineers and cloud teams to integrate AI into microservices and cloud-native architectures

- Deliver high-quality, well-documented AI components and ensure technical ownership from design to deployment

- Evaluate tools, frameworks, and datasets; propose adoption strategies for continuous product improvement

- Mentor, guide, and upskill team members on ML concepts, engineering practices, and modern frameworks

- Support product demos, POCs, and roadmap discussions with stakeholders to showcase AI capabilities

- Take initiative, make informed technical decisions, and align AI development with strategic business needs

Expected Functional Skills :

- 7+ years of hands-on experience in software engineering, applied AI/ML development, and solution delivery

- Strong foundation in data structures, data modelling, distributed systems, and software architecture

- Solid understanding of mathematics, probability, statistics, and Machine Learning algorithms

- Ability to write scalable and optimized code, primarily using Python and C#

- Proficiency in one or more programming languages: Python / C# / JavaScript

- Experience working on large-scale, enterprise-grade software products

- Strong knowledge of AI/ML technologies and experience using ML frameworks such as TensorFlow, PyTorch, Scikit-learn, spaCy, OpenCV

- Experience with NLP capabilities such as intent classification, entity extraction, conversational AI, and LLM fine-tuning

- Hands-on exposure to Generative AI and LLM ecosystems - e.g., LangChain, HuggingFace, vector databases

- Understanding of MLOps practices including model training, versioning, deployment, monitoring, and automated retraining pipelines

- Knowledge of RAG, embeddings, speech analytics, sentiment analysis, and other modern AI techniques

- Experience working with speech-to-text, call transcription, audio analytics, and agent performance insights (Contact Centre domain advantage) or similar data analytics use cases.

- Experience working with real time visual analysis using YOLO or any equivalent.

- Familiarity with cloud platforms such as AWS/GCP and experience with serverless, compute, storage, and native AI/ML services

- Good understanding of virtualization, containerization (Docker/Kubernetes), and microservices architecture

- Basic knowledge of networking protocols, security, and API integrations

- Strong understanding of design patterns, code quality principles, and CI/CD workflows

- Quick learner with passion for innovation in emerging AI technologies

- Excellent collaboration and leadership skills - working closely with Product, Dev, QA, and cross-functional teams