{"id":3144995,"url":"https://alion.io/job/aara-tech-private-limited-ai-ml-developer","title":"AI / ML Developer","company":{"id":4442856,"name":"Aara Tech Private Limited","domain":"aaratech.com","url":"https://alion.io/company/aara-tech-private-limited","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":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LightGBM","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"MySQL","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false},{"name":"XGBoost","optional":false},{"name":"OCR","optional":true}],"status":"live","first_seen_at":"2026-10-23T09:35:15Z","employer_posted_date":null,"last_verified_at":"2026-10-23T09:35:15Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"We are looking for an experienced AI/ML Developer with a strong background in designing, developing, and deploying Artificial Intelligence and Machine Learning solutions into existing enterprise applications. This is not a research-only role; we need someone who has successfully integrated AI capabilities into production systems and understands how AI can solve real business problems. Candidates with experience in the Banking, Financial Services, Lending, or FinTech domain will be highly preferred. The ideal candidate should have a solid foundation in Machine Learning, Mathematics, Statistics, and Software Engineering, with hands-on experience building AI-powered features, workflow automation, intelligent decision-making systems, and predictive models.\n\nResponsibilities: \nDesign, develop, and deploy AI/ML solutions for enterprise applications.\nIntegrate AI capabilities into existing banking or financial software products.\nBuild intelligent business workflows using AI and automation.\nDevelop ML models for prediction, classification, recommendation, anomaly detection, and decision support.\nConvert business problems into AI-driven solutions using appropriate algorithms.\nWork closely with Product Owners, Business Analysts, and Engineering teams to understand business requirements.\nBuild and optimise end-to-end ML pipelines from data collection to model deployment.\nImplement Retrieval-Augmented Generation (RAG) and LLM-based solutions where applicable.\nDevelop AI agents and workflow automation using modern AI frameworks.\nBuild APIs for integrating AI services into existing applications.\nMonitor, evaluate, retrain, and optimise machine learning models in production.\nEnsure model performance, scalability, explainability, and security.\nWrite clean, reusable, and production-quality code following engineering best practices.\nCollaborate with DevOps teams for CI/CD and MLOps deployment.\nStay updated with the latest AI, ML, and Generative AI advancements.\n\nRequirements: \nTechnical Skills: Programming, Python (Advanced), SQL, REST APIs, Object-Oriented Programming.\nMachine Learning: Strong hands-on experience in: Supervised Learning, Unsupervised Learning, Classification, Regression, Clustering, Time Series Forecasting, Recommendation Systems, NLP, Deep Learning, Feature Engineering, Model Evaluation, Hyperparameter Tuning.\nAI and Generative AI: Experience with: Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, Embedding Models, AI Workflow Automation, Multi-Agent Systems (Preferred).\nFrameworks: Scikit-learn, TensorFlow or PyTorch, XGBoost, LightGBM, Hugging Face Transformers, LangChain / LlamaIndex (Preferred).\nData Engineering: Pandas, NumPy, Data Cleaning, Data Transformation, ETL Pipelines.\nDatabases: PostgreSQL / MySQL, MongoDB (Preferred), Vector Databases (Pinecone, Chroma, Weaviate, Milvus, FAISS).\nCloud and Deployment: Experience in one or more: Azure AI, AWS AI Services, Google Cloud AI, Knowledge of Docker, Kubernetes, CI/CD, MLOps, Model Monitoring.\nBanking Domain Experience (Preferred): Candidates with implementation experience in Banking, Financial Services, NBFCs, or FinTech products will be preferred.\nExperience in one or more of the following is highly desirable: Loan Origination Systems (LOS), Loan Management Systems (LMS), Collections, Credit Risk, Assessment, Fraud Detection, Customer Risk Scoring, KYC Automation, AML Monitoring, Document Intelligence, OCR-based Data Extraction, Banking Workflow, Automation, Lending Decision Engines, Credit Underwriting Automation.\nMathematics and Analytical Skills: The candidate should have a strong understanding of: Linear Algebra, Probability, Statistics, Calculus, Optimisation Techniques, Numerical Methods, Matrix Operations, Data Analysis, Statistical Inference.\nShould be capable of selecting appropriate algorithms based on business requirements rather than relying solely on pre-built AI tools.\n\nRequired Experience: \nMinimum 4 years of hands-on AI/ML development experience.\nProven experience implementing AI features in live production applications.\nExperience integrating AI into existing enterprise software products.\nExperience building complete ML pipelines from development to deployment.\nExperience working with structured and unstructured datasets.\nExperience deploying ML models into production environments.\nStrong understanding of software architecture and scalable application development.\nExperience with workflow automation and intelligent process automation.\nAbility to optimise AI solutions for performance, accuracy, and scalability.\n\nPreferred Qualifications: \nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related field.\nAI/ML certifications from Microsoft, AWS, Google, or equivalent are an advantage.\nExperience with Banking or Financial domain projects is highly preferred.\n\nSoft Skills: \nStrong analytical and problem-solving abilities.\nExcellent mathematical reasoning.\nAbility to translate business requirements into AI solutions.\nGood communication and stakeholder management skills.\nOwnership mindset with attention to quality and scalability.\nAbility to work independently and collaboratively in cross-functional teams.\nSkills\nLLM, LangChain, ML, RAG, large language models, machine learning, python, retrieval-augmented 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