{"id":4004324,"url":"https://alion.io/job/unison-group-machine-learning-manager-ai","title":"Machine Learning Manager (AI)","company":{"id":448684,"name":"Unison Group","domain":"unisongroup.com","url":"https://alion.io/company/unisongroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":76,"open_postings":72,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Management","role_family":"Management","seniority":null,"employment_type":"full_time","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Kubeflow","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenAI","optional":true},{"name":"Power BI","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-11-10T06:13:10Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T06:13:10Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Role Summary\nWe are seeking an AI & Machine Learning Manager with strong hands-on expertise in AI/ML engineering, Generative AI, data science and enterprise solution delivery. The role requires a techno-functional leader who can engage business stakeholders, identify high-value AI opportunities, shape solution architecture and guide engineering teams through development, deployment and adoption.\nThe candidate must combine sound technical judgement with business understanding. They will lead the end-to-end delivery of secure, scalable and production-ready AI solutions, while remaining close enough to the technology to review designs, challenge implementation choices and guide teams on engineering standards.\nKey Responsibilities\nAI Strategy & Business Alignment\nWork with business leaders and domain teams to identify, assess and prioritise AI/ML opportunities based on business value, feasibility, risk and expected return.\nTranslate business problems into clear AI use cases, functional requirements, solution options, delivery plans and measurable success criteria.\nDefine AI roadmaps and support business cases, proof-of-concept assessments and the transition of successful pilots into production solutions.\nAI/ML Solution Design & Delivery\nLead the design, development, testing and deployment of machine learning, deep learning, NLP, predictive analytics and Generative AI solutions.\nGuide the development of LLM-based applications, Retrieval-Augmented Generation (RAG), AI agents, conversational systems and intelligent automation solutions.\nProvide hands-on technical direction across the AI lifecycle, including data preparation, feature engineering, model selection, evaluation, integration and production release.\nReview solution designs, model approaches, code quality and deployment plans; resolve technical issues and guide teams on sound engineering practices.\nArchitecture, Platforms & MLOps\nDefine and govern scalable AI solution architectures across cloud and enterprise platforms, with attention to performance, reliability, security and cost.\nEstablish MLOps practices for model versioning, experiment tracking, CI/CD, deployment, monitoring, drift detection, retraining and lifecycle management.\nPromote reusable components, model-serving patterns, prompt templates, evaluation frameworks and AI accelerators to improve delivery quality and speed.\nWork with data engineering, cloud, application, security and infrastructure teams to ensure reliable integration with enterprise systems and data platforms.\nTechno-Functional & Stakeholder Leadership\nAct as the bridge between business stakeholders and technical teams, ensuring that business needs are reflected in solution design and delivery.\nLead discovery sessions, requirement workshops, solution walkthroughs, demonstrations and design discussions with business and technology stakeholders.\nExplain technical options, trade-offs, limitations, risks and expected outcomes in clear business terms, including to senior management.\nDrive user adoption, change management and the integration of AI solutions into business processes.\nTeam Leadership & Delivery Management\nLead, mentor and develop AI engineers, ML engineers, data scientists and solution architects; set clear technical and delivery expectations.\nOwn delivery planning, estimation, prioritisation, sprint execution, dependencies, risks and issue resolution across AI initiatives.\nTrack delivery milestones, model quality, system performance, user adoption and business impact; drive corrective action where required.\nBuild a culture of technical ownership, experimentation, documentation, knowledge sharing and continuous improvement.\nAI Governance, Risk & Responsible AI\nEmbed responsible AI principles, privacy, security, explainability, fairness and human oversight into AI solution design and delivery.\nEstablish controls for model validation, data usage, access, auditability, monitoring and change management in line with enterprise policies and applicable regulations.\nWork with risk, legal, compliance and information security teams to assess AI risks and support governance reviews before and after deployment.\nRequirements\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related discipline.\nSubstantial professional experience in AI/ML engineering, data science, Generative AI or enterprise technology delivery, including experience leading technical teams or complex initiatives.\nStrong hands-on knowledge of machine learning, deep learning, NLP, predictive modelling and Generative AI, with the ability to guide implementation decisions.\nStrong programming proficiency in Python and practical experience with relevant AI/ML libraries and frameworks such as PyTorch, TensorFlow or scikit-learn.\nPractical experience designing and delivering LLM-based applications, including prompt engineering, RAG, embeddings, vector search and AI agent patterns.\nWorking knowledge of model evaluation, validation, deployment, monitoring, model drift and lifecycle management.\nExperience with MLOps concepts and tools for experiment tracking, model registry, CI/CD, deployment and production monitoring.\nAbility to elicit and analyse business requirements, define functional and non-functional needs, and convert them into technical designs and delivery plans.\nExperience working with senior stakeholders and cross-functional teams, managing expectations, explaining technical trade-offs and presenting solution recommendations.\nStrong problem-solving, communication, documentation, delivery management and team leadership skills.\nPreferred Qualifications & Experience\nExperience with Microsoft Azure AI Services, Azure OpenAI, Azure Machine Learning, Azure AI Foundry, Databricks or Microsoft Fabric; equivalent AWS or Google Cloud experience is also relevant.\nHands-on exposure to LangChain, LlamaIndex, Semantic Kernel, vector databases and agentic AI frameworks.\nExperience with MLflow, Azure ML, Kubeflow, Databricks Model Serving or comparable MLOps platforms.\nExperience delivering enterprise solutions in BFSI, insurance, healthcare, retail, manufacturing or other regulated environments.\nKnowledge of Responsible AI frameworks, model risk management, explainability, fairness testing and AI governance.\nRelevant cloud, AI engineering, machine learning or Databricks certifications.\nCore Technology Landscape\nPython | PyTorch | TensorFlow | scikit-learn | NLP | Deep Learning | Predictive Analytics | Generative AI | LLMs | Azure OpenAI | Azure AI Foundry | Azure Machine Learning | Databricks | MLflow | RAG | Embeddings | Vector Databases | LangChain | LlamaIndex | Semantic Kernel | AI Agents | Prompt Engineering | MLOps | Model Serving | Git | CI/CD | Azure DevOps | Cloud Platforms | Power BI | Microsoft Fabric","description_format":"text","description_chars":6822,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Consulting & Digital Transformation","Cloud Consulting & Migration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-11-10T06:13:10Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":0,"expected_fill_days":33,"reasons":["conf:0","stale_co","win:early","comp:brand"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/unison-group-machine-learning-manager-ai","json_url":"https://alion.io/job/unison-group-machine-learning-manager-ai.json","meta":{"generated_at":"2026-11-10T07:25:34Z","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":17312,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"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":448684},"rest":"https://alion.io/mcp/rest/get_company?id=448684"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funison-group-machine-learning-manager-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Funison-group-machine-learning-manager-ai"},{"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%2Funison-group-machine-learning-manager-ai"},{"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/unison-group-machine-learning-manager-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funison-group-machine-learning-manager-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4004324}},{"tool":"search_jobs","arguments":{"company":"unisongroup.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4004324},"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); 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