{ "url": "https://www.spotsalary.com/salary/machine-learning-engineer/vadodara-in-1356705249", "canonical": "https://www.spotsalary.com/salary/machine-learning-engineer/vadodara-in-1356705249", "headline": "Machine Learning Engineer Salary in Vadodara, India", "description": "Median Machine Learning Engineer salary in Vadodara, India is ₹81.9L per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook.", "occupation": { "name": "Machine Learning Engineer", "slug": "machine-learning-engineer", "family": "technology", "soc_code": "15-2051", "aliases": [ "ML Engineer", "AI Engineer" ], "description": null }, "location": { "name": "Vadodara, India", "slug": "vadodara-in-1356705249", "type": "city", "iso2": "IN", "currency": "INR" }, "period": 2026, "confidence": 50, "status": "published", "method": "nearest_neighbor", "updated_at": "2026-10-30T03:53:01+00:00", "salary_bands": [ { "level": "entry", "years_experience": [ 0, 2 ], "p10": 2612604.14, "p25": 3172447.99, "p50": 3732291.85, "p75": 4292135.7, "p90": 5038594.07, "base_share": 95, "bonus_share": 5, "equity_share": 0 }, { "level": "mid", "years_experience": [ 3, 5 ], "p10": 4164715.66, "p25": 5884638.57, "p50": 8188377.68, "p75": 10180032.02, "p90": 11415346.31, "base_share": 88, "bonus_share": 8, "equity_share": 4 }, { "level": "senior", "years_experience": [ 6, 9 ], "p10": 9457575.6, "p25": 11484199.07, "p50": 13510823.17, "p75": 15537446.65, "p90": 18239610.66, "base_share": 80, "bonus_share": 10, "equity_share": 10 }, { "level": "executive", "years_experience": [ 10, 15 ], "p10": 11254295.32, "p25": 13665930.07, "p50": 16077564.52, "p75": 18489199.27, "p90": 21704712.17, "base_share": 65, "bonus_share": 15, "equity_share": 20 } ], "take_home": { "currency": "INR", "tax_rate": 24.595999143019498, "top_rate": null, "method": "progressive", "label": "progressive brackets", "standard_deduction": 75000, "rebate": 0, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled", "bands": [ { "level": "entry", "gross": 3732291.85, "taxable": 3657291.85, "tax": 677187.5549999999, "effective_rate": 18.14401397897112, "net_annual": 3055104.295, "net_monthly": 254592.02458333332, "method": "progressive", "top_rate": null, "standard_deduction": 75000, "rebate": 0, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled" }, { "level": "mid", "gross": 8188377.68, "taxable": 8113377.68, "tax": 2014013.3039999998, "effective_rate": 24.595999143019498, "net_annual": 6174364.376, "net_monthly": 514530.36466666666, "method": "progressive", "top_rate": null, "standard_deduction": 75000, "rebate": 0, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled" }, { "level": "senior", "gross": 13510823.17, "taxable": 13435823.17, "tax": 3610746.951, "effective_rate": 26.724847964981546, "net_annual": 9900076.219, "net_monthly": 825006.3515833333, "method": "progressive", "top_rate": null, "standard_deduction": 75000, "rebate": 0, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled" }, { "level": "executive", "gross": 16077564.52, "taxable": 16002564.52, "tax": 4380769.356, "effective_rate": 27.247717467098052, "net_annual": 11696795.164, "net_monthly": 974732.9303333334, "method": "progressive", "top_rate": null, "standard_deduction": 75000, "rebate": 0, "source": "Income Tax Department (new regime FY 2025-26)", "source_url": "https://www.incometax.gov.in/", "retrieved_at": "2026-10-23T00:00:00.000000Z", "verified": true, "notes": "New regime; 87A rebate modelled" } ] }, "outlook": { "direction": "growing", "inflation_pct": 4.5, "real_growth_pct": 15.5, "forecasts": [ { "year": 2027, "scenario": "base", "p25": 9197185.81, "p50": 9826053.22, "p75": 10454920.62, "confidence": 44, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "15.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "20.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "conservative", "p25": 9082220.99, "p50": 9703227.55, "p75": 10324234.11, "confidence": 44, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "15.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "20.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2027, "scenario": "optimistic", "p25": 9312150.63, "p50": 9948878.88, "p75": 10585607.13, "confidence": 44, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "15.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "20.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "base", "p25": 13130751.43, "p50": 14149516.63, "p75": 15168281.83, "confidence": 32, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "15.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "20.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "conservative", "p25": 12644477.65, "p50": 13625514.71, "p75": 14606551.77, "confidence": 32, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "15.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "20.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2029, "scenario": "optimistic", "p25": 13629335.3, "p50": 14686783.73, "p75": 15744232.15, "confidence": 32, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "15.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "20.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "base", "p25": 18745279.63, "p50": 20375303.95, "p75": 22005328.26, "confidence": 30, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "15.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "20.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "conservative", "p25": 17602625.32, "p50": 19133288.39, "p75": 20663951.46, "confidence": 30, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "15.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "20.0% modelled nominal growth", "weight": "high", "direction": "up" } ] }, { "year": 2031, "scenario": "optimistic", "p25": 19946517.52, "p50": 21680997.31, "p75": 23415477.09, "confidence": 30, "drivers": [ { "name": "Inflation (CPI)", "note": "4.5% annual price growth", "weight": "high", "direction": "up" }, { "name": "Wage growth", "note": "7.5% nominal wage trend", "weight": "high", "direction": "up" }, { "name": "Role demand trend", "note": "10.0% annual role demand", "weight": "high", "direction": "up" }, { "name": "Hiring demand", "note": "Demand index 65/100", "weight": "medium", "direction": "up" }, { "name": "Automation exposure", "note": "20% exposure", "weight": "high", "direction": "steady" }, { "name": "Real wage growth", "note": "15.5% after 4.5% inflation", "weight": "high", "direction": "up" }, { "name": "Scenario growth", "note": "20.0% modelled nominal growth", "weight": "high", "direction": "up" } ] } ] }, "skills": [], "sources": [ { "name": "Iran", "url": null, "type": "nearest_donor", "tier": "derived" } ], "faqs": [ { "question": "What is the average salary of a Machine Learning Engineer in Vadodara, India?", "answer": "SpotSalary models a median annual salary of ₹81.9L for a Machine Learning Engineer in Vadodara, India, or about ₹682,365 per month before tax. The middle 50% of the estimate ranges from ₹58.8L to ₹1Cr, with a full P10–P90 range of ₹41.6L to ₹1.1Cr. This is a modelled estimate, not a job offer." }, { "question": "How much does an entry-level Machine Learning Engineer earn in Vadodara, India?", "answer": "The entry-level band for a Machine Learning Engineer in Vadodara, India centres on ₹37.3L per year (P25–P75: ₹31.7L–₹42.9L). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities." }, { "question": "How much does a senior or executive Machine Learning Engineer earn in Vadodara, India?", "answer": "The executive band for a Machine Learning Engineer in Vadodara, India has a median of ₹1.6Cr per year and a P75 of ₹1.8Cr. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level." }, { "question": "What is the salary outlook for a Machine Learning Engineer in Vadodara, India?", "answer": "The outlook is growing. In the base scenario, median pay reaches ₹2Cr by 2031, about 148.8% above today before inflation and 15.5% per year in real terms after 4.5% inflation. Scenario bands widen over time and are not guarantees." }, { "question": "What is the take-home pay for a Machine Learning Engineer in Vadodara, India?", "answer": "After an effective income tax rate of 24.6%, the mid-level Machine Learning Engineer in Vadodara, India takes home about ₹6,174,364 per year, or ₹514,530 per month. The estimate uses imported national tax brackets and does not include social contributions or local levies." }, { "question": "How does SpotSalary calculate these salary estimates?", "answer": "Estimates are anchored to external market signals — GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure — and synthesised with AI. Deterministic validation rejects implausible outputs. This report carries 50% confidence and draws on 6 salary observations." } ], "related": { "occupation_locations": [ { "headline": "Machine Learning Engineer Salary in Belgium", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/belgium-be" }, { "headline": "Machine Learning Engineer Salary in Mexico", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/mexico-mx" }, { "headline": "Machine Learning Engineer Salary in Pristina, Kosovo", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/pristina-xk-1901760068" }, { "headline": "Machine Learning Engineer Salary in Iceland", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/iceland-is" }, { "headline": "Machine Learning Engineer Salary in Kuala Lumpur, Malaysia", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/kuala-lumpur-my-1458988644" }, { "headline": "Machine Learning Engineer Salary in Cuba", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/cuba-cu" }, { "headline": "Machine Learning Engineer Salary in Guinea", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/guinea-gn" }, { "headline": "Machine Learning Engineer Salary in Iran", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/iran-ir" }, { "headline": "Machine Learning Engineer Salary in Singapore", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/singapore-sg" }, { "headline": "Machine Learning Engineer Salary in Canada", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/canada-ca" }, { "headline": "Machine Learning Engineer Salary in Malaysia", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/malaysia-my" }, { "headline": "Machine Learning Engineer Salary in Indonesia", "url": "https://www.spotsalary.com/salary/machine-learning-engineer/indonesia-id" } ], "occupation_hub": "https://www.spotsalary.com/occupations/machine-learning-engineer", "location_hub": "https://www.spotsalary.com/locations/vadodara-in-1356705249", "all_salaries": "https://www.spotsalary.com/salaries" }, "citation": { "plain": "Machine Learning Engineer Salary in Vadodara, India. SpotSalary. https://www.spotsalary.com/salary/machine-learning-engineer/vadodara-in-1356705249", "updated_at": "2026-10-30T03:53:01+00:00" } }