{"id":1273030,"url":"https://alion.io/job/petals-careers-ai-engineer","title":"AI Engineer","company":{"id":3808990,"name":"Petals Tech","domain":"petalstech.com","url":"https://alion.io/company/petals-careers","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":"junior","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","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"XGBoost","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"GitHub","optional":true},{"name":"Machine Learning","optional":true},{"name":"MLFlow","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-08-29T08:39:24Z","employer_posted_date":null,"last_verified_at":"2026-08-29T08:39:24Z","board_verified":false,"closed_at":null,"days_open":52,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":52},"description":"Job Description :\n\nRequirements :\n\n- 0 - 2 years of industry or project experience in AI/ML engineering (internships and academic projects strongly count).\n\n- Bachelor's OR master's degree in statistics, computer science, Engineering, Mathematics, or a related technical field.\n\nRole & Responsibilities :\n\nAI and LLM Skills (Must Have) :\n\n- Hands-on experience or strong project exposure to LLMs, prompt engineering, and RAG pipelines.\n\n- Familiarity with Hugging Face Transformers, OpenAI API, or equivalent LLM frameworks.\n\n- Understanding of vector embeddings, semantic search, and knowledge retrieval concepts.\n\n- Awareness of GenAI and Agentic AI methodologies and their practical applications.\n\nProgramming / Cloud / Data Skills (Must Have) :\n\n- Strong Python programming skills; clean, maintainable, production-ready code.\n\n- Proficient in ML libraries : scikit-learn, TensorFlow or PyTorch, XGBoost, pandas, NumPy.\n\n- Solid SQL skills for data querying, transformation, and mining structured datasets.\n\n- Experience normalising and preprocessing data for consistency, quality, and model readiness.\n\n- Working knowledge of at least one major cloud platform : AWS, GCP, or Azure.\n\n- Understanding of cloud storage, compute, and containerization basics (Docker, Kubernetes).\n\n- Exposure to big data tools such as Spark or Hadoop (MapReduce, Hive, Pig) is a plus.\n\nMachine Learning Algorithms (Good to Have) :\n\n- Clear understanding, coding, implementation, error analysis, and model tuning across :\n\n1. Supervised Learning : Linear Regression, Logistic Regression, SVM, Decision Trees, Random Forest, XGBoost.\n\n2. Neural Networks : Shallow Neural Networks and familiarity with deep learning architectures.\n\n3. Unsupervised Learning : Clustering (K-Means, DBSCAN), Recommender Systems.\n\n4. Time Series and Anomaly Detection : ARIMA, Isolation Forest, statistical anomaly methods.\n\n5. Strong command of model selection, cross-validation, feature selection, and ensemble methods (boosting, bagging, stacking).\n\n6. Ability to perform hyperparameter tuning using Grid Search, Random Search, or Bayesian optimisation.\n\nNice to Have :\n\n- Experience in fintech, credit scoring, risk analytics, or financial inclusion domains.\n\n- Contributions to open-source ML/AI projects or a strong personal project portfolio on GitHub.\n\n- Familiarity with MCP (Model Context Protocol) or building AI tool integrations.\n\n- Experience with MLflow, Weights and Biases, or other experiment tracking tools.\n\nSoft Skills :\n\n- Genuine curiosity about AI/ML and eagerness to learn in a fast-moving field.\n\n- Strong problem-solving mindset, able to break down complex challenges into actionable steps.\n\n- Clear communication skills to present model results and insights to non-technical stakeholders.\n\n- Collaborative team player who thrives in a cross-functional, mission-driven environment.\nSkills\nArtificial Intelligence, Machine Learning, LLM, Prompt Engineering, RAG, Python, Tensorflow, PyTorch, AWS, Regression Modeling, Neural Networks","description_format":"text","description_chars":3018,"description_truncated":false,"requirements":{"experience_years_min":2,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.414,"p_room":0.28,"age_days":51,"expected_fill_days":20,"reasons":["seen:51","win:tail","crowd:junior"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/petals-careers-ai-engineer","json_url":"https://alion.io/job/petals-careers-ai-engineer.json","meta":{"generated_at":"2026-10-21T03:44:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5439,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3808990},"rest":"https://alion.io/mcp/rest/get_company?id=3808990"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpetals-careers-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpetals-careers-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpetals-careers-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/petals-careers-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpetals-careers-ai-engineer"}]}