Lead Engineer - AI/NLP
- Evalueserve
- 7 - 12 years
- Bengaluru
- 15 hours ago
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Job Description
Job Summary
We are looking for a skilled and detail-oriented Lead Engineer NLP Solutions to join our team.
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 by 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 maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time.
Required Qualifications
- At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field.
- Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to deployment and enhancement.
- About 8-12 years of experience in NLP, ML, and DL.
- More than one year of experience in generative AI application development at the production level.
- Demonstrated ability in developing NLP / ML / DL / generative AI project solutions
- Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO
- Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc
- In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Huggingface Transformers
- Expert-level programming experience in Python / C++
- Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices.
- Experience in analyzing large amounts of user-generated content and processing data in large-scale environments by using cloud infrastructure.
- Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights.
- Experience in contributing to open-source software projects.
- Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements.
- Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely.
- Understanding of the cultural differences and work styles in a global environment.
Leadership Perspectives
Mark Vollenweider, Co-Founder and 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.
Satyajit Saha, Senior Vice President for Innovation Technology Centre
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.
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 cutting-edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they workand 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 Workacross four continents and ranks among the top 5% of global companies for diversityalongside numerous awards across its solution lines.
Recent Awards and Recognitions
AIM Research 2025: Top 10 of the 20 Best Firms for Women in Tech
Forrester Wave 2024: Leader in Market Competitive Intelligence Platforms
Chartis Research 2024: Category Leader in Credit Portfolio Management
Credit Strategy Lending Awards 2024: Winner, Best Technology Partner
Banking Tech Awards 2024: Highly Commended, Best LendTech
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Discover how our leaders are driving innovation through AI-powered supply chain optimization solution built on Google Cloud.
Know 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: EvalueserveLocation(s): Bengaluru+ View Contact
Keyskills: algorithms python c++ data scraping natural language processing bot information retrieval dl machine learning artificial intelligence application development deep learning tensorflow data science pytorch programming architecture ml statistics
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