{"id":2081668,"url":"https://alion.io/job/neemtree-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":3800233,"name":"Neemtree","domain":"neemtree.in","url":"https://alion.io/company/neemtree-3","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CatBoost","optional":false},{"name":"Interpretability","optional":false},{"name":"LightGBM","optional":false},{"name":"LIME","optional":false},{"name":"Machine Learning","optional":false},{"name":"Optuna","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SHAP","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-08T09:28:26Z","employer_posted_date":null,"last_verified_at":"2026-10-08T09:28:26Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Key Responsibilities : \n\nRisk Modeling & Business Impact : \n\n- Build and deploy models for : Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and Fraud detection and capture rate optimization.\n\n- Translate business problems into measurable ML objectives and target variables.\n\n- Drive improvements in risk decisioning, underwriting, and collections strategies.\n\nMachine Learning & Model Development : \n\n- Develop scalable ML models using : LightGBM, XGBoost, CatBoost, Random Forest, CART, and Logistic Regression.\n\n- Work extensively on tabular datasets (structured financial data).\n\n- Build ensemble and stacking models for improved performance.\n\nFeature Engineering & Model Evaluation : \n\n- Perform advanced feature engineering using : Weight of Evidence (WoE), Information Value (IV), and Variable Clustering (VarClus).\n\n- Evaluate models using : AUC-ROC / Gini coefficient and F1 Score, Precision, Recall.\n\n- Handle class imbalance using : SMOTE, Class weighting, and Threshold tuning.\n\nModel Optimization & Explainability : \n\n- Optimize models using : Grid Search / Random Search and Bayesian Optimization (Optuna preferred).\n\n- Ensure model interpretability using : SHAP values, LIME, and Partial dependence plots.\n\n- Communicate model insights effectively to business and risk stakeholders.\n\nData Engineering & Pipeline Development : \n\n- Process large-scale datasets using : SQL (advanced level mandatory) and PySpark / Hive / distributed systems.\n\n- Build robust data pipelines for model training and deployment.\n\n- Work with large transactional or bureau datasets.\n\nRequired Skills & Experience : \n\nMust-Have : \n\n- 2 - 5 years of relevant experience in credit risk / fraud analytics.\n\n- Strong hands-on experience with : Python (Pandas, Scikit-learn) and SQL (complex queries, optimization).\n\n- Expertise in tree-based models (XGBoost/LightGBM).\n\n- Experience with imbalanced datasets in financial use cases.\n\n- Strong understanding of model evaluation metrics beyond accuracy.\n\nGood to Have : \n\n- Experience with : PySpark / distributed computing, Credit bureau / transactional datasets, and Fintech / NBFC / banking domain.\n\nSkills\nMachine Learning, Data Science, Python, SQL, Pandas, Scikit-Learn, PySpark, Data Scientist, Fraud Analytics, Quantitative Risk Management","description_format":"text","description_chars":2314,"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":["Professional Services","Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-10-08T10:29:15Z"}],"visa":[],"liveness":{"score":78,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.872,"p_room":0.9,"age_days":7,"expected_fill_days":17,"reasons":["seen:7","velocity","win:mid","comp:junior"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/neemtree-machine-learning-engineer","json_url":"https://alion.io/job/neemtree-machine-learning-engineer.json","meta":{"generated_at":"2026-10-16T23:56:38Z","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":6132,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":3800233},"rest":"https://alion.io/mcp/rest/get_company?id=3800233"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fneemtree-machine-learning-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%2Fneemtree-machine-learning-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%2Fneemtree-machine-learning-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/neemtree-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fneemtree-machine-learning-engineer"}]}