Senior Consultant- Machine Learning

Job Summary We are looking for a Machine Learning Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and modern AI application development. The ideal candidate will have hands-on experience building, fine-tuning, deploying, and optimizing AI/ML solutions, with a focus on GenAI-powered products and <services.You> will work closely with product managers, software engineers, data scientists, and business stakeholders to design and implement scalable AI systems that solve real-world business problems. Key Responsibilities Design, develop, and deploy machine learning and Generative AI solutions in production environments. Build applications leveraging Large Language Models (LLMs) for tasks such as: o Conversational AI o Question answering systems o Knowledge assistants o Content Generation o Document intelligence Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources. Fine-tune, evaluate, and optimize foundation models for domain-specific use cases. Develop prompt engineering strategies and agentic AI workflows. Build scalable ML pipelines for model training, inference, monitoring, and evaluation. Collaborate with data engineering teams to prepare and manage datasets for model development. Optimize model performance, latency, cost, and reliability. Core Competencies Understanding of Snowflake architecture, SQL optimization, and data modeling techniques Accuracy in data handling, coding, and documentation Comfortable working in dynamic environments and adapting to evolving technologies and business needs Ability to communicate technical concepts clearly and concisely to non-technical audiences Strong interpersonal skills to work effectively with cross-functional teams, including data analysts, scientists, and business stakeholders Proactive in identifying issues and implementing effective solutions in data workflows and pipelines Ability to analyze complex data problems and develop efficient, scalable solutions Required Qualifications Bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related field. 4+ years of experience in Machine Learning Engineering or AI development. Strong programming skills in Python. Experience with machine learning frameworks such as: PyTorch o TensorFlow o Scikit-learn Hands-on experience working with Large Language Models. Leadership Perspectives Pallab Kumar Deb, CEO “Most enterprises are navigating AI with one eye open. Nobody has both eyes open yet, and that is exactly the opportunity. At Evalueserve, we are on that journey with our clients, helping them get there through focus, simplicity, speed, creativity, and a spirit of collaboration and appreciation. The organizations that will lead tomorrow are the ones building that capability today, and we are proud to be the partner making it possible.” Sanjoy Roy Choudhary, Executive Vice President for Data Analytics “We are trusted by some of the largest and most complex businesses in the world and that trust is earned every day through expertise, technology, and a genuine hunger to innovate. The intersection of AI, analytics, and insights is creating possibilities that simply did not exist before, and we are right in the middle of it. We seek out hard problems, we push forward, and we are looking for ambitious people who want to help discover new avenues of growth with us.” Why Join Evalueserve? Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cuttingedge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work and today we are pushing the frontier further with generative and agentic AI. We foster a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work® across four continents and ranks among the top 5% of global companies for diversity—alongside numerous awards across its solution lines. Follow Us Stay connected and learn more about life at Evalueserve: Follow up on LinkedIn for the latest updates and career opportunities. Discover how our leaders are driving innovation through AI-powered supply chain optimization solution built on Google Cloud . Read how Evalueserve climbed 16 places on the “50 Best Firms for Data Scientists in 2024.” Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances . Please Note : We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.