Consultant-AI ML-Immediate Joiner Required

Job Description You are invited to join our team at Evalueserve as an AI Engineer where you will be responsible for designing and implementing cutting-edge ML/DL models, leveraging NLP techniques for text analytics and conversational AI, and developing enterprise-grade generative AI solutions such as RAG optimization, LLM evaluation, and fine-tuning. Your role will focus on ensuring scalability, data quality, and feasibility to deliver robust, high-performance AI applications. Key Responsibilities: - Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models. - Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots using traditional and generative AI techniques. - Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning. - Designing and developing a practical and analytical approach while focusing on aspects such as data quality and availability, feasibility, scalability, and turnaround time. Required Qualifications: - Bachelor's / master's degree in computer science, information systems, statistics, mathematics, or a related field. - Strong understanding of data science processes, including data investigation, cleaning, minimal viable models, and deployment nuances. - About 1-3 years of experience in NLP, ML, and DL. - More than one year of experience in generative AI application development at the production level. - Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures. - In-depth knowledge and experience with open-source frameworks like TensorFlow, PyTorch, and Hugging face Transformers. - Expert-level programming experience in Python / C++. - Familiarity with product development lifecycles, ML model deployment best practices, and cloud infrastructure. Additional Company Details: Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for over 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, the solutions are grounded in deep domain expertise and enhanced by cutting-edge AI and automation to boost productivity and scale client impact. Evalueserve fosters a merit-based and innovation-driven culture that encourages creativity, continuous learning, and professional growth. The company has been recognized as a Great Place to Work across four continents and ranks among the top 5% of global companies for diversity. With 25 years of experience in insight-driven solutions, Evalueserve is leading the charge in embedding domain-specific generative AI into how knowledge work gets doneat scale and with measurable impact. Job Description You are invited to join our team at Evalueserve as an AI Engineer where you will be responsible for designing and implementing cutting-edge ML/DL models, leveraging NLP techniques for text analytics and conversational AI, and developing enterprise-grade generative AI solutions such as RAG optimization, LLM evaluation, and fine-tuning. Your role will focus on ensuring scalability, data quality, and feasibility to deliver robust, high-performance AI applications. Key Responsibilities: - Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models. - Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots using traditional and generative AI techniques. - Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning. - Designing and developing a practical and analytical approach while focusing on aspects such as data quality and availability, feasibility, scalability, and turnaround time. Required Qualifications: - Bachelor's / master's degree in computer science, information systems, statistics, mathematics, or a related field. - Strong understanding of data science processes, including data investigation, cleaning, minimal viable models, and deployment nuances. - About 1-3 years of experience in NLP, ML, and DL. - More than one year of experience in generative AI application development at the production level. - Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures. - In-depth knowledge and experience with open-source frameworks like TensorFlow, PyTorch, and Hugging face Transformers. - Expert-level programming experience in Python / C++. - Familia