Manager Of Machine Learning

About Business Unit: As part of the Digital Integration Services team, you’ll be at the forefront of modernizing marketing and delivering ground-breaking solutions. From crafting data-driven, personalized experiences that customers truly value to turning marketing visions into reality - we empower brands to achieve their goals. Our team of 1,200 experts in strategy, analytics, creative, and digital experience uses innovative technology and data-driven insights to craft relevant, customer-centric strategies for the world’s leading brands. Organization Objective/Purpose: - This position is in the Engineering team under the Digital Experience organization. We drive the first mile of customer experience through personalization of offers and content. We are currently on the lookout for a smart, highly driven individual. - Our organization is focused on driving business transformation through the strategic application of Artificial Intelligence, Data Science, and Automation. We help clients use innovative technologies like Generative AI (GenAI), Large Language Models (LLMs), and advanced machine learning to reimagine their products, operations, and customer engagement. - This role supports our mission to build scalable, ethical, and high-impact AI driven solutions that enhance business performance and create measurable value for clients. - The incumbent is also expected to partner with various collaborators, bring scientific rigor to design and develop high quality software. - She / He also must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, start-up environment within a larger company. Role Summary: The Senior Manager – ML Engineering will lead the design, development, and deployment of Generative AI solutions for clients across industries. This individual will serve as both a hands-on technical expert and a strategic consultant, bridging the gap between advanced AI capabilities and business value realization. The ideal candidate will have deep expertise in data science, machine learning, and deep learning, coupled with strong knowledge of LLMs (online/offline), prompt engineering, and reinforcement learning. They will be responsible for finding opportunities, architecting solutions, managing technical delivery, and guiding multi-functional teams to operationalize GenAI at scale.This role will require the candidate to be hands-on while guiding the team on GenAi protocols. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. Responsibilities - Technical Leadership - Design, develop, and implement scalable Generative AI applications using modern frameworks and platforms. - Evaluate and fine-tune online (API-based) and offline (open-source, self-hosted) LLMs such as GPT, Llama, Mistral, Claude, etc. - Lead experimentation and optimization efforts including fine-tuning, retrieval-augmented generation (RAG), and multi-agent systems. - Oversee data pipeline design, model training, and deployment using MLOps protocols. - Ensure model governance, performance monitoring, and compliance with ethical AI standards. - Solution Architecture & Design - Design and implement end-to-end Generative AI and LLM-based architectures, integrating with enterprise data and applications. - Define reference architectures, frameworks, and protocols for scalable AI driven applications. - Architect and operationalize RAG (Retrieval-Augmented Generation) and LLM-based workflows using cloud-native components (e.G., AWS Bedrock, SageMaker, Lambda, API Gateway). - Ensure scalability, reliability, and governance across AI, data, and ML pipelines. - Strategic & Consulting Responsibilities - Partner with clients to identify business problems that can be solved using Generative AI technologies. - Define AI solution architectures and roadmaps aligned with client objectives. - Evangelize GenAI capabilities within the organization and to external collaborators. - Contribute to thought leadership, innovation initiatives, and IP creation in the AI/ML space. - Innovation & Leadership - Stay ahead of advancements in AI/ML frameworks, LLM technologies, and Gen AI ecosystems. - Evaluate emerging tools, open-source models, and platforms for enterprise AI applications. - Mentor data scientists and engineers in building and scaling AI-powered systems. Qualification - Bachelor or Master in Computer Science, Artificial Intelligence, Data Science, or related field. - 15 years of total experience with at least 3–4 years in AI/ML and Generative AI solution development. - Experience working on AdTech or MarTech technologies is added advantage - Strong analytic thought process and ability to interpret findings Required Skills & Competencies - Deep understanding of LLMs, Diffusion models, Reinforcement Learning (RL / RLHF), and Deep Learning frameworks - Familiarity with MLOps practices — model lifecycle, CI/CD for ML, versioning, and monitoring. - Experience with vector databases and embedding pipelines for contextual retrieval. - Familiarity with RAG architectures, vector databases (e.G., FAISS, Pinecone, Chroma), LangChain, LlamaIndex, and model fine-tuning pipelines. - Experience with cloud-based AI platforms (AWS Sagemaker, Azure AI, GCP Vertex AI) and open-source model hosting. - Strong hands-on experience in Python, SQL, and data pipeline design (ETL/ELT, data orchestration, and transformation). - Solid understanding of data management, governance, and integration patterns for AI systems. - Excellent problem-solving and communication skills; ability to present technical concepts to non-technical audiences. - Consultative attitude with experience in client-facing roles, pre-sales, or solutioning. Preferred Skills - Exposure to AI Agents, multimodal systems (vision + text), and tool augmentation (function calling). - Familiarity with enterprise data architectures, data lakes, and knowledge graphs. - Experience with Databricks, AWS AI services, or cloud-native LLM hosting and orchestration. - Contributions to AI open-source projects or participation in technical communities. Additional Information Our pillars aren't just words. They're how we show up every day. - People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. - Collaboration: We work together, support one another and collectively achieve goals. - Growth: There are endless opportunities for growth through learning, development and career advancement. - Innovation: We drive progress through cutting-edge solutions and - forward-thinking approaches. - Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. - Act with integrity - Work together to win together - Innovate with purpose - Respect all voices - Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions and uniting us in common purpose.