{"id":4280722,"url":"https://alion.io/job/crowe-junior-machine-learning-engineer","title":"Junior Machine Learning Engineer","company":{"id":8861,"name":"Crowe","domain":"crowe.com","url":"https://alion.io/company/crowe-tac","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Claude Code","optional":true},{"name":"Embeddings","optional":true},{"name":"GitHub","optional":true},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenAI Codex","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-13T20:29:07Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T20:29:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Your Journey at Crowe Starts Here:\nAt Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.\nJob Description:\nJob Overview\nThe Junior Machine Learning Engineer works within an Applied AI and Machine Learning delivery team to develop, test, deploy, and support AI and machine learning solutions. This early-career role is designed for candidates with strong programming and analytical foundations who want to build scalable, production-ready AI products under the guidance of senior engineers, data scientists, and technical leads.\nKey Responsibilities\nAssist in collecting, cleaning, transforming, profiling, and validating structured and unstructured data.\nPerform exploratory data analysis to identify patterns, anomalies, trends, data quality issues, and potential features.\nDevelop and evaluate baseline machine learning models under guidance using appropriate algorithms and metrics.\nSupport use cases involving classification, regression, clustering, anomaly detection, forecasting, natural language processing, and Generative AI.\nWrite reusable, readable, secure, and testable Python code aligned with team coding standards.\nHelp convert notebooks and experiments into modular code, repeatable pipelines, APIs, or scheduled workloads.\nAssist with feature engineering, model comparison, hyperparameter tuning, error analysis, and experiment tracking.\nSupport deployment of models through APIs, containers, batch jobs, or approved cloud services.\nHelp monitor model quality, data drift, model drift, latency, failures, and operational performance.\nParticipate in code reviews, pair programming, Agile ceremonies, technical discussions, and knowledge-sharing sessions.\nDocument datasets, experiments, assumptions, model results, dependencies, limitations, and implementation decisions.\nIdentify and escalate data privacy, security, compliance, responsible AI, and model-performance risks.\nEssential Job Functions\nData Preparation and Exploration\nPerform data cleaning, feature preparation, validation, and exploratory analysis.\nUse Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.\nDocument data quality findings and support corrective actions.\nModel Development\nBuild baseline machine learning models and compare performance using suitable evaluation metrics.\nSupport feature engineering, error analysis, and hyperparameter tuning.\nAssist with consumption of foundation models and Large Language Models.\nMachine Learning Engineering\nUse Git for source control and collaboration.\nPackage basic applications or models using Docker.\nSupport APIs, pipelines, experiment tracking, and introductory MLOps practices.\nTesting and Monitoring\nWrite unit tests and data validation checks.\nAssist in testing model behavior and production performance.\nSupport logging, monitoring, troubleshooting, and incident documentation.\nRequired Qualifications and Skills\nBachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related area.\n0 to 2 years of relevant experience, including internships, academic projects, research, hackathons, or personal projects.\nWorking knowledge of Python and SQL.\nUnderstanding of statistics, probability, linear algebra, supervised learning, and unsupervised learning.\nAbility to communicate technical findings clearly and work effectively in a collaborative Agile environment.\nStrong analytical, problem-solving, documentation, and continuous-learning abilities.\nPreferred Skills\nExposure to Azure Machine Learning, Azure AI services, or Azure AI Foundry.\nFamiliarity with PyTorch, TensorFlow, or similar frameworks.\nExposure to Large Language Models, prompt engineering, embeddings, vector databases, or retrieval-augmented generation.\nFamiliarity with Claude Code, Codex, or similar agents, used to speed up your own development and to deliver AI-native solutions, with the judgment to review and own what they produce. \nFamiliarity with Docker, Kubernetes, REST APIs, Linux, GitHub, and MLflow or similar experiment tracking.\nAwareness of responsible AI, privacy, explainability, and AI governance.\nMandatory Pre-Joining Technology Training\nSelected candidates must complete the assigned role-specific learning plan, hands-on exercises, knowledge checks, and readiness assessment before joining or deployment.\nPython programming and object-oriented programming\nNumPy, Pandas, data visualization, and SQL\nStatistics and probability for machine learning\nSupervised and unsupervised machine learning\nModel evaluation, feature engineering, and error analysis\nIntroduction to deep learning and natural language processing\nGenerative AI, Large Language Models, prompt engineering, embeddings, vector databases, and RAG\nAzure Machine Learning, Azure AI services, and Azure AI Foundry\nGit, GitHub, Linux, Docker, REST APIs, and testing fundamentals\nMLOps, experiment tracking, model monitoring, responsible AI, Agile, and Azure DevOps\nPre-Joining Capstone\nBuild and demonstrate an end-to-end machine learning solution covering data preparation, model development, evaluation, packaging, documentation, and basic deployment or inference.\nWe expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.\nOur Benefits:\nAt Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you!\nHow You Can Grow:\nWe will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!\nMore about Crowe:\nCrowe Capability Center - India, operating under the legal entity C3 India Delivery Centre LLP (formerly known as Crowe Horwath IT Services LLP) is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world.\nCrowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.\nWe are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role’s responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.","description_format":"text","description_chars":7787,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Audit & Assurance Firms","Accounting & Bookkeeping Services"],"lifecycle":[{"event":"open","at":"2026-11-13T20:29:07Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":19,"reasons":["conf:1","win:early","comp:junior,brand"],"computed_at":"2026-11-13T22:06:16Z"},"pay":null,"html_url":"https://alion.io/job/crowe-junior-machine-learning-engineer","json_url":"https://alion.io/job/crowe-junior-machine-learning-engineer.json","meta":{"generated_at":"2026-11-13T22:06:16Z","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":44078,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":8861},"rest":"https://alion.io/mcp/rest/get_company?id=8861"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcrowe-junior-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fcrowe-junior-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fcrowe-junior-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/crowe-junior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcrowe-junior-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4280722}},{"tool":"search_jobs","arguments":{"company":"crowe.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4280722},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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