{"id":3269194,"url":"https://alion.io/job/antino-ai-ml-engineer","title":"AI / ML Engineer","company":{"id":9454,"name":"Antino","domain":"antino.com","url":"https://alion.io/company/antino","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":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI 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Outputs","optional":false},{"name":"TensorFlow","optional":false},{"name":"Weaviate","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-10-26T10:35:46Z","employer_posted_date":null,"last_verified_at":"2026-10-26T10:35:46Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"The core responsibilities for the job include the following:\n\nCore ML and Engineering: \nWrite clean, efficient, and well-documented Python code following OOP principles (encapsulation, inheritance, polymorphism, abstraction).\nBuild and manage end-to-end ML pipelines: data ingestion, preprocessing, model training, evaluation, and deployment.\nDevelop scalable ML systems using frameworks like PyTorch, TensorFlow, and Scikit-learn.\n\nGenerative AI (GenAI) and LLM Systems: \nDesign and implement LLM-based applications (chatbots, copilots, automation tools).\nBuild and optimize RAG pipelines using vector databases (e. g., FAISS, Pinecone, Weaviate).\nDevelop agentic workflows using frameworks like LangChain, LlamaIndex, or similar.\nImplement prompt engineering, structured output generation, and tool/function calling.\nFine-tune or optimize LLMs using techniques like LoRA, QLoRA, or instruction tuning.\nWork with open-source and proprietary LLMs (e. g., LLaMA, Mistral, GPT, Qwen).\n\nSoftware Design and Architecture: \nDesign modular, scalable, and maintainable ML and GenAI systems.\nBuild APIs and microservices for model serving and GenAI applications.\nContribute to architectural decisions for AI platforms and products.\n\nData Engineering for AI: \nBuild data pipelines for feature engineering, transformation, and dataset versioning.\nManage structured and unstructured data (documents, embeddings, logs).\n\nMLOps and LLMOps: \nImplement CI/CD pipelines for ML and GenAI systems.\nManage model and prompt versioning, experiment tracking, and reproducibility.\n\nRequirements: \nBachelor's or Master's degree in Computer Science, AI, ML, Data Science, or a related field.\n5 years of experience in AI/ML engineering, with 2-3 years in a lead role.\nStrong expertise in Python, system design, and scalable AI/ML architecture.\nHands-on experience with TensorFlow, PyTorch, and Scikit-learn.\nStrong knowledge of NLP, Computer Vision, Generative AI, LLMs, and deep learning models.\nExperience with Docker, Kubernetes, MLOps, CI/CD, and cloud platforms like Amazon Web Services, Google Cloud Platform, or Microsoft Azure.\nStrong leadership, stakeholder management, and team mentoring skills.\nSkills\ngenai, generative ai, large language model, llm, python, pytorch, scikit-learn, 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