{"id":3900004,"url":"https://alion.io/job/tekwissen-aiml-engineer-2","title":"AI/ML Engineer","company":{"id":3800775,"name":"Tekwissen","domain":"tekwissen.com","url":"https://alion.io/company/tekwissen","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":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60,"max":60,"currency":"USD","period":"hour","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"closed","first_seen_at":"2026-11-06T22:52:51Z","employer_posted_date":null,"last_verified_at":"2026-11-07T09:22:25Z","board_verified":false,"closed_at":"2026-11-07T09:22:25Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"TekWissen is recruiting for an unnamed client seeking an AI/ML Engineer to build and deploy AI and machine learning solutions for financial services platforms. The role focuses on financial analytics, risk management, fraud detection, investment research, and automation, in collaboration with technology, data science, and business teams.\n\nResponsibilities\nDesign, develop, and deploy machine learning models for enterprise financial applications\nDevelop AI/ML solutions using Python, TensorFlow, PyTorch, and Scikit-learn\nBuild and integrate Generative AI applications using Large Language Models (LLMs)\nImplement Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering\nDevelop predictive models for financial risk analysis, fraud detection, and business forecasting\nBuild scalable REST APIs and integrate AI models with enterprise applications\nImplement MLOps pipelines for model training, deployment, monitoring, and performance optimization\nWork with structured and unstructured datasets using SQL and Python\nCollaborate with software engineers, data scientists, product managers, and business stakeholders\nEnsure AI solutions meet enterprise security, data privacy, governance, and compliance requirements\n\nSkills\n5+ years of experience in AI/ML engineering or related software development\nStrong programming experience in Python\nHands-on experience with Machine Learning algorithms and statistical modeling\nExperience with TensorFlow, PyTorch, or Scikit-learn\nExperience with Generative AI, LLMs, and prompt engineering\nKnowledge of LangChain, LangGraph, or similar frameworks\nExperience with RAG, embeddings, and vector databases\nStrong SQL and database knowledge\nExperience developing REST APIs and microservices\nCloud experience with AWS, Azure, or GCP\nKnowledge of Docker, Kubernetes, Git, and CI/CD pipelines\nBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field\nFinancial services or banking domain experience\nExperience with fraud detection, risk modeling, or financial data analytics\nKnowledge of model governance, explainability, and responsible AI\nExperience with MLflow, Kubeflow, or similar MLOps platforms\nExperience with enterprise-scale AI deployments\n\nBenefits\nHybrid work, depending on team requirements\n\nCompany Overview\nTekWissen is a global technology, workforce, and business transformation partner helping organizations **build, scale, and optimize for the future**. It was founded in 2009, and is headquartered in Ann Arbor, Michigan, USA, with a workforce of 1001-5000 employees. Its website is http://tekwissen.com.\n\nCompany H1B Sponsorship\nTekWissen ® has a track record of offering H1B sponsorships, with 6 in 2026, 5 in 2025, 18 in 2024, 11 in 2023, 9 in 2022, 16 in 2021, 17 in 2020. 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