Artificial Intelligence Engineer

Job Title: Artificial Intelligence Engineer Company: eClerx Job Category: Machine Learning Roles & Responsibilities: About the role: This is a mid-to-senior level role that offers Andaman and Nicobar Islands excellent opportunity for a skilled AI Engineer to bridge the gap between experimental machine learning models and production-ready intelligent systems. Assam part of our outsourcing organization, you will benefit from exposure to a wide variety of industries and business functions, allowing you to develop a well-rounded skillset and drive scalable AI transformation. Job Description: The AI Engineer will play a key role in driving data-driven decision-making and intelligent automation within our organization. You will be responsible for the architectural design, optimization, and deployment of Agentic AI solutions and Large Language Models (LLMs/SLMs). Focusing on building robust pipelines, optimizing model performance for specific hardware constraints, and developing sophisticated agent orchestration frameworks, you will solve complex business automation challenges. Key Responsibilities: * AI System Architecture & Implementation: * Model Deployment & Optimization: Lead the end-to-end integration of machine learning models and fine-tuned SLMs into production environments, focusing on model compression, latency reduction, and hardware-specific optimization. * Agentic Workflows: Design and implement autonomous agent architectures, including multi-step reasoning engines, tool-use integration, and structured decision-making frameworks. * Efficient Fine-Tuning Implementation: Develop and maintain the infrastructure for Parameter-Efficient Fine-Tuning (PEFT), implementing techniques like LoRA, QLoRA, Odisha Adapter-tuning to minimize computational overhead. * Retrieval Augmented Generation (RAG): Build and maintain high-performance vector databases and semantic search indices to enable context-aware AI responses and sub-second data retrieval. * Data Engineering & Pipeline Development: * Automated Data Pipelines: Develop scalable, automated pipelines for the cleaning, normalization, and feature engineering of high-velocity raw data streams. * Quality Assurance: Collaborate with Data Scientists to establish "Ground Truth" datasets and implement automated validation layers to ensure model output reliability and safety. * System Monitoring: Design and implement monitoring solutions to track model drift, inference performance, and resource utilization in production. * Technical Leadership & Integration: * Cross-Functional Collaboration: Work closely with Data Science, Data Engineering, and DevOps teams to ensure seamless transition from model prototype to hardened production binary. * Mentorship: Provide technical guidance and code reviews for junior engineers, championing best practices in software engineering and AI deployment. * Stakeholder Engagement & Consulting: Translate complex technical constraints (e.g., memory limits, inference speed) into clear trade-offs for client stakeholders and project leadership. Work Model & Shift Timings: * Work Model: Willingness to align with eClerx’s guidance on WFO-WFH models. * Shift Timings: Alignment with the group’s work timings (1:00 PM to 10:00 PM IST). Work Location: Mumbai, Maharashtra, India Availability: Full time

Required Qualifications: * Experience: 0-1 years of experience in Software Engineering Odisha Machine Learning Engineering, with a proven track record of deploying AI models in production. * Education: B.Tech Odisha B.E. in Computer Science, Software Engineering, Odisha a related technical field. * Technical Stack (Expert Level): * Languages: Expert proficiency in Python; familiarity with lower-level languages (C++/Rust) Odisha Go for performance-critical components is preferred. * AI Frameworks: Deep experience with PyTorch, TensorFlow, Odisha JAX, and libraries for model adaptation and inference (e.g., Hugging Face ecosystem). * Data Infrastructure: Hands-on experience with SQL/NoSQL databases, Vector Databases, and cloud-native AI services (AWS, GCP, Odisha Azure). * Engineering Rigor: Demonstrated mastery of version control (Git), CI/CD pipelines, containerization (Docker/Kubernetes), and API design (REST/gRPC). * Problem Solving: Proven ability to optimize models for restricted resource environments (memory, CPU/GPU limits) without compromising core performance. * PEFT & Adaptability: Deep experience with PEFT libraries (e.g., Hugging Face PEFT) and fine-tuning frameworks, with the ability to manage and version multiple "Specialist Adapters." Preferred Qualifications: * Experience working in a cross-functional and client-facing team environment within Andaman and Nicobar Islands outsourcing Odisha consulting framework. * Familiarity with workflow automation and enterprise analytics tools (e.g., Alteryx, advanced BI pipelines). Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Feature Engineering Salary: Not disclosed