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About Tarento:
Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.
We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.
Job Role
We are looking for an accomplished and hands‑on AI Lead to drive the design, development, and delivery of AI-powered capabilities across the iGOT Karmayogi Bharat platform. The role involves leading AI solution implementation, guiding AI/ML engineers and data scientists, and ensuring the successful integration of AI systems into large-scale, production‑grade platforms.
The AI Lead will work closely with product, platform, and engineering teams to translate business needs into scalable, secure, and high-performance AI solutions while staying current with emerging AI technologies.
- Lead the design, development, and deployment of AI/ML solutions aligned with business and platform goals
- Drive the implementation of AI capabilities, including:
- Generative AI solutions and RAG-based systems (embeddings, vector search)
- Semantic and NLP-based search across large-scale content repositories
- Personalized recommendation systems for learning and skill pathways
- Conversational AI, chatbots, and AI tutors
- Content classification, auto-tagging, clustering, and metadata enrichment
- Predictive analytics and AI-driven insights dashboards
- Provide hands‑on technical leadership in building, training, deploying, and optimizing ML and LLM-based systems
- Establish and enforce MLOps best practices, including model lifecycle management, CI/CD, monitoring, and feedback loops
- Collaborate with product owners and stakeholders to convert functional requirements into AI-driven features
- Guide and mentor AI engineers, data scientists, and backend developers through design reviews, code reviews, and technical problem-solving
- Ensure AI systems meet performance, scalability, security, privacy, and responsible AI standards
- Integrate AI components with Sunbird microservices, backend APIs, Elasticsearch, and vector database infrastructure
- Evaluate and adopt new AI models, frameworks, cloud services, and open-source tools
- Contribute to solution design, architecture documentation, and technical decision-making
Required Skills & Experience
- 7+ years of overall software engineering experience, with 3+ years in AI/ML development and leadership roles
- NLP, Transformer architectures, LLMs, embeddings, and vector search
- Generative AI and RAG pipelines
- Recommendation systems and semantic search
- Proficiency with AI/ML frameworks and tools:
- LangChain, LlamaIndex (or similar orchestration frameworks)
- Experience with vector databases: Milvus, Qdrant, Pinecone, Weaviate
- Strong understanding of MLOps practices (model deployment, monitoring, CI/CD, feature stores)
- Proficiency in Python with working knowledge of Java or Node.js for microservices and API integration
- Experience with Elasticsearch and distributed data stores (PostgreSQL, Cassandra)
- Hands‑on experience with Docker, Kubernetes, and cloud platforms (AWS / Azure / GCP)
- Solid understanding of security, data privacy, responsible AI, and enterprise scalability
Good to Have
- Experience with EdTech / L&D platforms, especially learner, content, telemetry, and analytics systems
- Domain exposure to EdTech, GovTech, or large-scale digital transformation programs
- Experience deploying LLMs in on‑prem or hybrid cloud environments
- Familiarity with platforms and tools such as Keycloak, Kafka, Neo4j, Redis, Flink, Druid analytics
Seniority level
Mid‑Senior level
Employment type
Full‑time
Industries
IT Services and IT Consulting, Technology, Information and Media, and Information Services
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