Expertshub.ai
Java Developer
Freelance remote Java Developer building scalable backend systems and microservices, with responsibilities spanning end-to-end feature development, code reviews, and performance optimization, leveraging Java, Spring Boot, Microservices, and REST APIs.
Ai/ml Engineer
A freelance remote AI/ML engineer develops and deploys large-scale systems for intelligent automation, predictive analytics, NLP, and generative AI, using Python, deep-learning frameworks, data engineering, and MLOps across AWS and other cloud platforms.
Ai/ml Engineer
Freelance AI/ML Engineer role focused on building a large-scale AI/ML platform with LLM, RAG, NLP, and generative AI capabilities. Day-to-day work involves data engineering, model development, deployment, MLOps, and system optimization using Python, TensorFlow, Scikit-learn, and AWS in a remote setting.
AI Solution Architect
Designs and implements scalable AI solutions, leads architecture decisions, mentors junior team members, and partners cross-functionally with product and business stakeholders. Core tech: Python, PyTorch, TensorFlow, AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI, LLM orchestration, RAG, and vector databases.
Product Manager – AI
Freelance onsite Product Manager – AI in Delhi leading AI-driven product initiatives end-to-end, partnering with engineering, design, and marketing on strategy, roadmaps, and agile delivery across generative AI, LLMs, and MLOps.
AI Quality Assurance Engineer
Onsite AI Quality Assurance Engineer in Delhi building and executing test plans, automated frameworks, and regression/load/API suites to validate AI-driven software products, collaborating with cross-functional teams to improve product reliability.
Business Analyst
Business Analyst who gathers stakeholder requirements, documents business cases, process maps, and user stories, analyzes data, recommends process improvements, and supports UAT. Core tools include SQL, Advanced Excel, Power BI, Tableau, Confluence, JIRA, Agile/Scrum, and Oracle and SAP platforms.
MLOps Lead
Lead MLOps strategy and architecture at Expertshub.ai in Delhi, building scalable AI production systems, defining multi-year technical roadmaps, and mentoring engineering teams while partnering with C-level executives on enterprise ML deployments.
Mlops Engineer
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.
Voice AI Engineer
Builds and owns a production real-time voice AI platform, tuning ASR/LLM/TTS pipelines, WebRTC/SIP telephony, and orchestration frameworks like Pipecat or LiveKit Agents for client deployments end-to-end.
Founding Engineer
Founding engineer at early-stage AI startup Ember AI, building its Enterprise Intelligence platform from 0-to-1. Owns core AI-agent platform development across the full stack, including triggers, tools, LLM/RAG, orchestration, evaluations, and customer-facing workflows.
Applied Ai Engineer
Applied AI Engineer role focused on developing and deploying advanced AI solutions (LLMs, computer vision, GANs) end-to-end. Day-to-day work involves Python/TensorFlow model development, NLP, data analysis, and collaboration with product managers onsite in Los Angeles.
AI/ML Intern
Onsite AI/ML internship in Pune, India building and fine-tuning LLMs and NLP/CV models with Python, PyTorch, Hugging Face, and supporting REST API deployment.
AI/ML Engineer
Designs and implements ML models for NLP and computer vision using Python, PyTorch, Keras, Hugging Face, and related AI frameworks. Develops RESTful APIs for model deployment and collaborates with cross-functional teams on model training, fine-tuning, and optimization.
AI Engineer
AI Engineer in Bangalore designing, developing, and deploying machine learning and deep learning models with PyTorch and TensorFlow, collaborating with cross-functional teams to integrate AI solutions into products.
AI/ML Intern
An AI/ML internship building and fine-tuning generative AI models (LLMs, NLP, computer vision) using Python, PyTorch, and Hugging Face, with deployment via REST APIs.