{"id":4232553,"url":"https://alion.io/job/vwr-machine-learning-engineer-nlp","title":"Machine Learning Engineer - NLP","company":{"id":11686,"name":"Vwr","domain":"vwr.com","url":"https://alion.io/company/vwr","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"BERT","optional":false},{"name":"ChatGPT","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"ServiceNow","optional":false},{"name":"SharePoint","optional":false},{"name":"Tokenization","optional":false}],"status":"live","first_seen_at":"2026-11-13T10:01:59Z","employer_posted_date":null,"last_verified_at":"2026-11-13T10:01:59Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Major Job Duties & Responsibilities :\n\n- NLP Application Development: Design, develop, and deploy an intelligent chatbot/virtual assistant using state-of-the-art language models and NLP techniques.\n\n- Ensure the application responds accurately to user queries and maintains context throughout the interaction.\n\n- Working across client teams to develop and architect Generative AI solutions using ML and GenAI.\n\n- Developing and promoting standards across the community.\n\n- Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies.\n\n- Help democratize the AI building process while advancing the capabilities of autonomous and human-controlled agents.\n\n- Setup and train large language models (BERT, GPT-3, etc.) and other state-of-the-art neural networks.\n\n- Data Preprocessing: Clean, structure, and preprocess raw data to make it suitable for use with NLP models, including text normalization, tokenization, and other data transformation techniques.\n\n- Model Training and Validation: Train and fine-tune NLP models using appropriate datasets, validate model performance using suitable metrics and techniques, and adjust model parameters as necessary to optimize performance.\n\n- Integration: Work on integrating the NLP capabilities with various platforms including SAP, Salesforce, SharePoint, and ServiceNow to ensure smooth and efficient data exchange between systems.\n\n- Performance Optimization: Regularly monitor and evaluate the performance of the chatbot/virtual assistant and use analytics to identify areas for improvement and optimize the system for better user experience and accuracy.\n\n- Collaboration: Collaborate with other engineers, data scientists, and business analysts to understand requirements, refine models, and implement NLP solutions.\n\n- Keeping Current with Industry Trends: Stay up-to-date with the latest advancements in NLP, machine learning, and AI, and evaluate and adopt new technologies, tools, and methodologies as appropriate to improve our capabilities.\n\nQualifications :\n\n- Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Data Science, AI, Machine Learning, or a related field.\n\n- 7+ years of professional experience in NLP/LLM solutions, with a focus on developing chatbots/virtual assistants or similar applications.\n\n- 7 years of experience in programming Python/R Proficiency in industry-leading NLP tools, libraries, and frameworks.\n\nKnowledge Skills & Abilities :\n\n- Experience in deep learning and training LLMs.\n\n- Expertise in programming languages commonly used in NLP, such as Python.\n\n- Hands on experience with forecasting, predictive modelling, and classification.\n\n- Hands on experience with AWS services, such as S3, EC2, SageMaker.\n\n- Exposure to Generative AI/OpenAI ChatGPT/LangChain.\n\n- Hands-on experience integrating with platforms like SAP, Salesforce, SharePoint, and ServiceNow is a strong advantage.\n\n- Strong understanding of NLP concepts and techniques, such as tokenization, entity recognition, sentiment analysis, and language modelling.\n\n- Strong understanding in building and maintaining API solutions.\n\n- Excellent problem-solving skills, with the ability to troubleshoot technical challenges and develop effective solutions.\n\n- Strong communication skills, with the ability to explain complex NLP concepts to non-technical stakeholders.\n\n- A collaborative team player who can work effectively in cross-functional teams.\n\nSkills\nMachine Learning, Python, NLP, Generative AI, LLM, Conversational AI, Deep Learning, LangChain, AWS","description_format":"text","description_chars":3670,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Laboratory Equipment","CRO & CDMO 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