Role Overview We are seeking a seasoned AI/ML Consultant with deep hands-on expertise and strategic leadership experience to guide our engineering teams and architect enterprise-grade AI systems. Unlike an execution-only role, you will act as a technical advisor and principal architect—helping us define our AI roadmap, make critical build-vs-buy and infrastructure decisions, review model architectures, and establish production-grade MLOps, security, and Generative AI guardrails across our Trading and WealthTech platforms. Key Responsibilities • AI Strategy & Architecture: Define end-to-end AI/ML and Generative AI system architectures tailored to high-throughput trading, wealth management, and financial analytics products. • Technical Advisory & Audits: Conduct architecture reviews, code and model audits, and bottleneck assessments to optimize model accuracy, inference latency, and cloud infrastructure costs. • GenAI & Agentic Systems Design: Architect advanced LLM applications, Retrieval-Augmented Generation (RAG) pipelines, multi-turn conversational assistants, and agentic workflows with strict hallucination controls and output auditing. • Production Readiness & MLOps: Establish scalable standards for model deployment, CI/CD, drift detection, automated retraining, and observability in production environments. • Data & Quantitative Modeling Guidance: Advise on feature engineering, time-series forecasting, portfolio optimization, risk modeling, and anomaly detection using structured and unstructured financial datasets. • Team Mentorship & Upskilling: Mentor and guide our internal AI/ML and backend engineers (1–3 years experience) on best practices, experimental rigor, and system design. • Compliance, Security & Governance: Ensure all AI/ML pipelines adhere to financial-grade data privacy, regulatory compliance, explainability,



and API security standards. Required Experience & Qualifications • Experience: 4+ years of progressive industry experience in Data Science, Machine Learning, and AI Engineering, with at least 2–3 years in a Principal, Lead, or Consulting capacity. • Proven Production Track Record: Demonstrated history of taking complex ML, Deep Learning, and LLM solutions from prototype to scalable, low-latency production. • Deep Expertise in GenAI & LLMs: Mastery of LLM orchestration (LangChain, LlamaIndex, or custom frameworks), vector databases (Pinecone, Milvus, Weaviate, FAISS), embeddings, semantic caching, and qualitative/quantitative evaluation frameworks. • Core ML & Deep Learning Mastery: Strong command of Python, PyTorch/TensorFlow, scikit-learn, NLP, time-series modeling, and distributed data processing. • Cloud & MLOps Proficiency: Extensive experience architecting cloud-native AI workloads on AWS, GCP, or Azure using Docker, Kubernetes, and contemporary MLOps toolchains. Domain Experience (Strongly Preferred) • Prior consulting or engineering experience within FinTech, Wealth Management, Capital Markets, Algorithmic Trading, or Banking. • Strong understanding of Equity Markets, Mutual Funds, ETFs, Portfolio Analytics, Account Aggregator ecosystems, and real-time market data feeds. • Experience navigating regulatory, auditability, and explainability constraints specific to financial services. What We Offer • High-impact advisory role shaping the core AI architecture of next-generation FinTech and WealthTech products. • Direct collaboration with founders and senior technical leadership with fast decision-making cycles. • Flexible consulting engagement structure (retainer, milestone-based, or fractional leadership) with competitive compensation

Pay: ₹20,000.00 - ₹25,000.00 per year

Work Location: In person

📌 AL-ML CONSULTANT (Surat)
🏢 Minds Mapper
📍 Surat