{"id":1908329,"url":"https://alion.io/job/koch-industries-ml-engineer","title":"ML Engineer","company":{"id":13911,"name":"Koch Industries","domain":"kochinc.com","url":"https://alion.io/company/kochinc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":17,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-06T05:45:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":22000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"GitLab CI","optional":false},{"name":"Interpretability","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SHAP","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-05T13:39:16Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-07T00:22:18Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Your Job\nAs a Machine Learning Engineer at Koch Capabilities India, you will ensure production machine learning solutions remain reliable, scalable, and trusted by the business teams who depend on them every day. You will partner closely with data scientists, data engineers, and business stakeholders to operationalize machine learning models, maintain healthy data pipelines, and drive adoption of AI-enabled solutions across manufacturing, procurement, supply chain, and research functions.\nIn this role, you will bridge the gap between model development and business value by owning deployment, monitoring, troubleshooting, and continuous improvement of production machine learning systems.\nOur Team\nYou will be part of the Data & Analytics capability supporting INVISTA and other Koch companies through Koch Capabilities India. Our team partners with business and technology stakeholders to build, deploy, and support data-driven solutions that improve decision-making and create long-term value. We combine analytics, engineering, and domain expertise to deliver reliable and scalable AI and machine learning capabilities across global operations.\nWhat You Will Do\nMonitor production data pipelines and resolve issues before they impact downstream models or business users.\nMaintain the reliability, performance, and availability of machine learning solutions in production environments.\nIdentify model drift, data quality issues, and performance degradation, and implement corrective actions.\nTroubleshoot production incidents including failed pipelines, model retraining failures, stale datasets, and API or endpoint issues.\nPartner with stakeholders to understand business problems, evaluate available data, and define solution requirements.\nAssess whether business challenges are best addressed through machine learning, analytics, automation, reporting, or process improvements.\nPrepare and transform data, engineer features, and validate outputs to support advanced analytical and machine learning solutions.\nDeploy, monitor, and manage machine learning models using modern MLOps practices.\nIntegrate model outputs into business processes and applications to drive adoption and measurable business outcomes.\nContribute to the development of foundational machine learning solutions including regression, classification, clustering, anomaly detection, and forecasting models.\nCollaborate with cross-functional teams to continuously improve data, analytics, and AI capabilities.\nWho You Are (Basic Qualifications)\nBachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field.\n3+ years of experience deploying and supporting machine learning models in production environments.\nExperience deploying and supporting machine learning models in production environments.\nStrong Python programming skills with experience using libraries such as pandas, NumPy, scikit-learn, and visualization frameworks.\nExperience with machine learning techniques such as classification, regression, anomaly detection, time-series forecasting, natural language processing, or computer vision.\nUnderstanding of feature engineering, model evaluation, validation methodologies, and hyperparameter tuning.\nStrong SQL skills for data extraction, transformation, and analysis.\nExperience building and maintaining automated data pipelines.\nKnowledge of containerization, CI/CD practices, and model lifecycle management.\nExperience deploying solutions on cloud platforms such as AWS, Azure, or GCP.\nStrong problem-solving skills and ability to communicate effectively with technical and non-technical stakeholders.\nDemonstrated ownership mindset with the ability to proactively identify, communicate, and resolve issues.\nWhat Will Put You Ahead\nExperience with Snowflake, including Snowpark ML, Tasks, Streams, Dynamic Tables, Stored Procedures, or UDTFs.\nExperience with Kubernetes, AWS Lambda, Step Functions, GitLab CI, ArgoCD, JFrog, or similar modern platform technologies.\nFamiliarity with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or deep learning frameworks such as PyTorch.\nExperience with model explainability and interpretability techniques such as SHAP.\nKnowledge of manufacturing, chemical processes, supply chain operations, or industrial data systems such as OSI PI or SAP.\nExperience building analytical applications and visualizations using Streamlit, Power BI, Sigma Computing, or similar platforms.\nExposure to MLOps frameworks, model monitoring, and responsible AI practices.\nAt Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.\n\nWho We Are\nAt Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.\nAdditionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.","description_format":"text","description_chars":5515,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Manufacturing","Glass & Ceramics Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-05T13:39:16Z"},{"event":"close","at":"2026-10-06T11:38:04Z"},{"event":"reopen","at":"2026-10-06T14:36:45Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":12,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/koch-industries-ml-engineer","json_url":"https://alion.io/job/koch-industries-ml-engineer.json","meta":{"generated_at":"2026-10-07T01:07:02Z","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","counted_by":"address","units_charged":1,"used_today":1901,"day_limit":5000,"remaining_today":3099,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"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":13911},"rest":"https://alion.io/mcp/rest/get_company?id=13911"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkoch-industries-ml-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%2Fkoch-industries-ml-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%2Fkoch-industries-ml-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/koch-industries-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkoch-industries-ml-engineer"}]}