Technical Lead (AI/ML) | (India)

Designation: Technical Lead- R&D

Experience: 7+ years

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