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
Job Type: Full-time
Pay: ₹2,500,000.00 - ₹2,900,000.00 per year
Application Question(s):
How many years of experience do you have in AI/ML?
How many years of experience do you have in Python?
Work Location: Remote
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