Freelance AI/ML Engineer

Looking for aFreelance AI/ML Engineerto join a team of rockstar developers. The candidate should have a minimum of4+ yrs. of experience.This role is ideal for professionals currently working in a 100% REMOTE setup and looking to take up a long-term freelance or part-time engagement alongside their primary role with competitive compensation and meaningful additional income.Company Background We are a product engineering firm partnering with top-tier global organizations across consulting, fintech, retail, and consumer tech. Our 750+ strong engineering team delivers high-impact solutions across Product and Data Engineering, with deep expertise in Agentic AI, GenAI, RPA, and Full-stack development.Key Responsibilities: Design, develop, and deploymachine learning and deep learning modelsusingPython Build and fine-tune models usingTensorFlow and/or PyTorch Work extensively withLLMs , transformer architectures, and NLP pipelines ImplementRetrieval-Augmented Generation (RAG)systems using embeddings and vector databases Develop and optimizetext embeddingsfor search, recommendation, and semantic understanding use cases Integrate ML models withcloud ML services(AWS, Azure, or GCP) Collaborate with product, backend, and data teams to productionize AI solutions Design and implementModel Context Protocol (MCP) servers and clientsto expose tools, APIs, and data sources to AI models. Definecontext schemas, capabilities, and permissionsaligned with MCP specifications. Establish best practices forcontext versioning, extensibility, and backward compatibility .Required Skills: Strong programming experience inPython Hands-on experience withTensorFlow and/or PyTorch Solid understanding ofLLMs , transformers, and attention mechanisms Practical experience withNLP techniquessuch as tokenization, NER, text classification, summarization, and sentiment analysis Experience working withembeddingsand vector search Hands-on implementation ofRAG architectures Experience withcloud ML services(AWS SageMaker, Azure ML, or GCP Vertex AI) Familiarity with REST APIs and model deployment pipelinesEngagement Details Commitment: ~35 hours per week with predictable workload and clear deliverables Work Model: 100% remote engagement from our side Compensation: Monthly payouts with a transparent pay cycle Tenure: Long-term engagement for high performers; continuity and stability assured Eligibility: Open only to professionals currently working in a full-time remote role (validated during screening) Growth: Opportunity to work on complex, high-impact products alongside senior engineering leadership

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