{"id":2037619,"url":"https://alion.io/job/infosys-aiml-engineer-with-databricks-cloud-skills","title":"AI/ML Engineer (with Databricks Cloud Skills)","company":{"id":223,"name":"Infosys","domain":"infosys.com","url":"https://alion.io/company/infosys","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":95,"open_postings":232,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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":{"min_usd":10000,"max_usd":26000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-01T07:22:55Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-29T11:06:54Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"We are seeking an enthusiastic AI/ML Engineer with 2-3 years of experience in Machine Learning, Generative AI, and Databricks-based development. The ideal candidate should have hands-on experience building, training, deploying, and monitoring ML models using Databricks Lakehouse Platform, Python, PySpark, and modern AI frameworks.\nResponsibilities\nDevelop, train, validate, and deploy Machine Learning models.\nBuild predictive analytics, classification, recommendation, and NLP solutions.\nPerform feature engineering, model evaluation, and model optimization.\nWork with structured and unstructured datasets to solve business problems.\nDevelop data processing and ML workflows using Databricks.\nUtilize Delta Lake, Databricks Notebooks, and Databricks Workflows.\nBuild scalable ETL/ELT pipelines using PySpark.\nCollaborate with data engineers to prepare AI-ready datasets.\nTechnical requirements\n2-3 years of experience in AI/ML Development\nStrong programming skills in Python\nHands-on experience with Databricks and PySpark\nExperience building and deploying ML models\nGood understanding of Machine Learning lifecycle\nExposure to GenAI/LLM use cases preferred\nAdditional responsibilities\nExperience with RAG, LangChain, or AI Agents.\nKnowledge of LLMOps and MLOps practices.\nExposure to Delta Live Tables and Unity Catalog.\nExperience working with Snowflake or cloud data platforms.\nDatabricks Certified Associate/Data Engineer certification is a plus.\nPreferred skills\nTechnology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - 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