We are based in Gurgaon and looking for a Senior AI(NLP) Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which help in assessment grading, new age cheating prevention and other areas in online assessments. If you're a seasoned AI(NLP) expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you.
Role: Senior AI(NLP) Engineer
Functional Area: AI
Educational Qualification:
BTech/MS/MTech/PhD in Computer Science/Artificial Intelligence/Machine Learning/Deep Learning/Natural Language Processing or equivalent. Should have worked in an academic or professional setting in the field of AI/NLP.
Experience: 3-6 years
Location: Gurgaon
Key Responsibilities:
Review and analyze existing NLP models and how it can help to solve a problem.
Modify and finetune existing state of the art pre trained generic NLP models for specific tasks.
Create new/modify model architectures and train them from scratch.
Test and refine models and systems based on real-world data and feedback.
Evaluate project requirements, plan and manage the roadmap of a project.
Present findings and insights in a clear and concise manner to stakeholders.
Collaborate and help to integrate and deploy AI systems into broader product architecture.
Conduct research to stay updated on emerging NLP and AI technologies and trends.
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Automate data preprocessing and annotation processes to streamline workflow efficiency.
Maintain comprehensive documentation for algorithms, implementations, and evaluations.
Mentor junior engineers and provide strategic guidance on project development.
Requirements and skills:
Proficiency in Python and knowledge of C++, Java and JS is plus.
Solid understanding of neural networks, especially RNN’s, LSTM, Transformers and Large Language Models.
Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras.
Understanding of fundamental NLP related techniques like text cleaning and preprocessing, word embeddings, NER etc.
Experience in evaluating NLP models using relevant metrics and performance indicators.
Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc.
Familiarity with Python libraries such as Spacy, NLTK, NumPy, Pandas and scikit-learn etc.
Basic knowledge of linear algebra, calculus, and statistics.
Strong critical thinking, analytical, and problem-solving skills
Self-motivated, quick learner and strong team player with ability to work with minimal supervision.
What makes you stand out:
Excellent verbal and written communication skills, comfortable interfacing with business users
Good client management skills
Able to work independently
Why join our team:
We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com , or follow on LinkedIn and X.
Mercer Assessments business, one of the fastest-growing verticals within the Mercer brand, is a leading global provider of talent measurement and assessment solutions. As part of Mercer, the world’s largest HR consulting firm and a wholly owned subsidiary of Marsh McLennan—we are dedicated to delivering talent foresight that empowers organizations to make informed, critical people decisions. Leveraging a robust, cloud-based assessment platform, Mercer Assessments partners with over 6,000 corporations, 31 sector skill councils, government agencies, and more than 700 educational institutions across 140 countries. Our mission is to help organizations build high-performing teams through effective talent acquisition, development, and workforce transformation strategies. Our research-backed assessments, advanced technology, and comprehensive analytics deliver transformative outcomes for both clients and their employees. We specialize in designing tailored assessment solutions across the employee lifecycle, including pre-hire evaluations, skills assessments, training and development, certification exams, competitions and more. At Mercer Assessments, we are committed to enhancing the way organizations identify, assess, and develop talent. By providing actionable talent foresight, we enable our clients to anticipate future workforce needs and make strategic decisions that drive sustainable growth and innovation
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
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