{"id":3954089,"url":"https://alion.io/job/ivoyant-aiml-engineer","title":"AI/ML Engineer","company":{"id":4527769,"name":"iVoyant","domain":"ivoyant.com","url":"https://alion.io/company/ivoyant","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":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NLTK","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-11-09T06:35:30Z","employer_posted_date":null,"last_verified_at":"2026-11-09T06:35:30Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary:\n\nWe are looking for an AI/ML Engineer with 3-4 years of hands-on experience in developing, implementing, and deploying machine learning solutions. The ideal candidate should have a strong foundation in Python programming, machine learning algorithms, data processing, and model development, along with exposure to Natural Language Processing (NLP) and Generative AI technologies.\n\nThe candidate will be responsible for building and optimizing AI/ML models, working with data pipelines, and integrating intelligent solutions into business applications.\n\nKey Responsibilities:\nDesign, develop, train, and implement machine learning models to solve business problems.\nApply supervised and unsupervised learning algorithms to real-world use cases.\nPerform data preprocessing, cleaning, feature engineering, and analysis.\nEvaluate, optimize, and fine-tune ML models to improve accuracy and performance.\nDevelop and implement NLP solutions such as text classification, sentiment analysis, and information extraction.\nWork with pre-trained models and explore Generative AI and Large Language Model (LLM) applications.\nImplement prompt engineering techniques and integrate LLM APIs into AI-powered applications.\nWork with tools and frameworks such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face.\nDeploy, monitor, and maintain machine learning models in production environments.\nDevelop and maintain data pipelines to support machine learning workflows.\nCollaborate with data engineers and software developers to integrate AI/ML solutions into business applications.\nResearch emerging AI/ML technologies and identify opportunities to improve existing models and solutions.\n\nRequired Qualifications & Skills:\n\nEducation:\n\nBachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field\n\nExperience:\n3-4 years of hands-on experience in AI/ML engineering or machine learning development.\nStrong experience in Python programming and machine learning model development.\nPractical experience with machine learning algorithms and model evaluation techniques.\nExperience working with data preprocessing, feature engineering, and data analysis.\nExposure to NLP and Generative AI/LLM-based applications.\n\nTechnical Skills:\nStrong proficiency in Python.\nHands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.\nGood understanding of supervised and unsupervised machine learning algorithms.\nExperience with NLP libraries such as NLTK, SpaCy, or Hugging Face Transformers.\nBasic understanding of Generative AI, LLMs, and prompt engineering.\nExposure to OpenAI APIs or open-source LLM implementations.\nGood knowledge of SQL and data manipulation techniques.\nFamiliarity with REST APIs, Git, and software development practices.\nExposure to cloud platforms such as Microsoft Azure or AWS.\nSkills\nGenerative AI, LLM, ML, Machine Learning, NLP, Natural Language Processing, 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