AI & Data Science Apprentice Program (India)

Job Title: AI & Data Science Apprentice Program (India) Company: 1clickaudit Job Category: Machine Learning Roles & Responsibilities: FS 1 or DS 1: Permanent FTE role\* You will be working closely in a hand\-picked team of high achievers comprised of experts in AI, backend engineering, data science and data engineering. You will contribute to developing AI solutions to drive value internally and for our customers. * A core data science role involving use of statistical analysis, machine learning, and programming to extract insights from data, build predictive models, and help our clients make data\-driven decisions. Candidates get exposure to It's a multidisciplinary field that leverages skills in mathematics, statistics, computer science, and domain expertise. * Statistical \& Machine Learning Modeling: Expertise in developing and fine\-tuning classical ML algorithms for time\-series forecasting, clustering, classification, pricing optimization, and anomaly detection. * Collaboration and Training : Collaborate with cross\-functional teams to integrate machine learning models into production systems. Work closely with members of technology teams in the development, and implementation of Enterprise AI platform. * * Work Location: India Availability: Full time

After completion of 1 year program or sooner, high performing candidates are eligible to get promoted to Full Stack Engineer I or Data Scientist I Level salaried positions with full benefits. * Full Stack Engineering Track * Product \& AI Integration: 3\+ years of experience building end\-to\-end web features and integrating LLMs (GPT, LLaMA, Claude) and agentic workflows into production. * Backend \& Data Pipeline: Strong expertise in FastAPI, Node.js, and TypeScript, along with orchestration and storage tools like Temporal, PostgreSQL, MySQL, and OpenSearch. * Frontend \& UX: Deep proficiency in modern frontend frameworks including React, Next.js, Tailwind CSS, and shadcn/ui to deliver polished user experiences. * Infrastructure \& Ownership: Self\-directed mindset with experience deploying on cloud platforms (AWS/Azure) using Docker, Kubernetes, and automated CI/CD pipelines * Core Data Science Track * Agentic \& Causal AI Integration: Hands\-on experience building Supervised Agentic Modeling (S\-A\-M) frameworks and agentic workflows that orchestrate LLMs, causal AI, and statistical models via automated API execution. \ Basic Required Qualifications: * Enrolled in Bachelor’s or master’s degree in computer science, engineering, or a related field in a Tier 1/2/3 university. Only accredited universities with regional or national entrance examinations considered. Final year of enrolment in college program (KYC of credentials required) or recent college graduate * Strong knowledge of python or .js languages and frameworks thru projects or other certifications * Understanding of databases and data structures * Extensive coursework or projects in related fields \ Compensation/Benefits Information: ü Experience Letter Key Skills: Machine Learning, Python Salary: Not disclosed