{"id":1238921,"url":"https://alion.io/job/mamaearth-ai-engineer","title":"AI Engineer","company":{"id":2267422,"name":"Mamaearth","domain":"mamaearth.in","url":"https://alion.io/company/mamaearth-in","size_band":null,"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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"LangChain","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-09-17T05:45:13Z","employer_posted_date":null,"last_verified_at":"2026-09-17T05:45:13Z","board_verified":false,"closed_at":null,"days_open":25,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":25},"description":"We are looking for an experienced AI Engineer with 5-7 years of hands-on experience in developing, implementing, and deploying AI-driven solutions.\n\n The ideal candidate should have strong expertise in Python, machine learning, deep learning, NLP, Generative AI, and AI application development.\n\nThe role involves working on end-to-end AI solutions, from understanding business requirements and preparing data to model development, evaluation, deployment, and optimization.\n\nKey Responsibilities\n\nDesign, develop, and implement AI and machine learning solutions for business and product requirements.\n\nDevelop and optimize machine learning and deep learning models.\n\nWork with structured and unstructured data for AI/ML applications.\n\nDevelop AI-powered applications using Python and relevant ML/AI frameworks.\n\nBuild and integrate Generative AI solutions, including LLM-based applications where applicable.\n\nDevelop solutions using techniques such as NLP, text classification, information extraction, recommendation, and predictive modeling.\n\nPerform data preprocessing, feature engineering, model training, validation, and performance optimization.\n\nEvaluate models using appropriate performance metrics and continuously improve model accuracy and reliability.\n\nDevelop APIs and services to integrate AI/ML models with enterprise applications.\n\nCollaborate with software engineers, data engineers, product teams, and business stakeholders.\n\nDeploy and monitor AI/ML models in development and production environments.\n\nTroubleshoot model, data, and application issues and implement appropriate solutions.\n\nMaintain technical documentation covering models, experiments, APIs, and deployment processes.\n\nStay updated with emerging AI/ML technologies, frameworks, and industry practices.\n\nRequired Technical Skills\n\n5-7 years of experience in AI/ML or related software engineering roles.\n\nStrong programming experience in Python.\n\nStrong understanding of Machine Learning algorithms and concepts.\n\nExperience with supervised and unsupervised learning techniques.\n\nHands-on experience with deep learning frameworks such as TensorFlow or PyTorch.\n\nGood understanding of NLP and text-processing techniques.\n\nExperience with data preprocessing, feature engineering, model training, and evaluation.\n\nExperience working with ML libraries such as Scikit-learn, Pandas, and NumPy.\n\nExperience developing and integrating REST APIs for AI/ML solutions.\n\nGood understanding of software engineering principles and version control using Git.\n\nGenerative AI - Good to Have\n\nExperience working with Large Language Models (LLMs).\n\nUnderstanding of Generative AI application development.\n\nExperience with prompt engineering and LLM integration.\n\nKnowledge of Retrieval-Augmented Generation (RAG) architectures.\n\nExposure to vector databases and semantic search.\n\nExperience with frameworks such as LangChain or similar AI application frameworks.\n\nUnderstanding of model evaluation, monitoring, and responsible AI practices.\n\nCloud & MLOps - Good to Have\n\nExposure to AWS, Azure, or Google Cloud.\n\nExperience deploying models using cloud platforms.\n\nUnderstanding of Docker and containerization.\n\nExposure to CI/CD and MLOps practices.\n\nKnowledge of model monitoring and production deployment.\n\nKey Competencies\n\nStrong analytical and problem-solving skills.\n\nAbility to translate business problems into practical AI solutions.\n\nStrong programming and debugging skills.\n\nAbility to work on end-to-end AI projects.\n\nGood communication and collaboration skills.\n\nAbility to work effectively with cross-functional teams\n\n- - 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