{"id":1170355,"url":"https://alion.io/job/kantar-consultant-1","title":"Consultant-1","company":{"id":1526,"name":"Kantar","domain":"kantar.com","url":"https://alion.io/company/kantar","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":9,"ghost_share":0,"stale_share":0.444,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-09-25T05:45:01Z"}},"role":"Data Science","role_family":"Data Science","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":51000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":276},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"LightGBM","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"NLP","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"Flowise","optional":true},{"name":"LangChain","optional":true},{"name":"Langflow","optional":true},{"name":"LangGraph","optional":true}],"status":"live","first_seen_at":"2026-09-24T07:07:50Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-26T02:37:58Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in.\nTo start a career that is out of the ordinary, please apply...\nJob Details\nRole Overview\nWe are seeking a skilled Data Scientist/ AI Engineer with 4+ years of relevant experience to design, develop, and deploy production-grade AI/ML systems within client environments. This role emphasizes strong Python engineering practices, scalable deployment pipelines, and end-to-end ownership of AI solutions in live enterprise ecosystems.\nYou will be responsible not only for building models, but for productionizing, optimizing, deploying, monitoring, and maintaining them across internal and client-controlled infrastructures.\nKey Responsibilities\nPython Engineering & System Development\nDevelop robust, scalable AI/ML applications using Python.\nBuild modular, production-ready code following strong software engineering practices (testing, linting, packaging, version control).\nDevelop and maintain APIs using FastAPI, Flask, or similar frameworks.\nDebug and optimize deployed systems across backend services, APIs, frontend integrations, and cloud dependencies.\nAI/ML & GenAI Development\nLead data discovery, feature engineering, experimentation, and model development.\nWork across classical ML, deep learning, and NLP/LLM-based systems (embeddings, fine-tuning, RAG).\nDesign rigorous evaluation strategies including offline metrics, regression testing, failure-mode analysis, and human-in-the-loop validation for GenAI systems.\nEnsure model reproducibility, documentation, versioning, and traceability.\nDeployment Pipelines & DevOps\nBuild and manage CI/CD pipelines for ML and AI workflows.\nContainerize applications using Docker and deploy via Kubernetes (preferred).\nImplement DevOps, MLOps, and LLMOps best practices.\nManage release cycles, change controls, and environment configurations.\nEnsure secure API integrations and scalable inference pipelines.\nCloud & Client Environment Deployment\nDeploy AI/ML solutions on Microsoft Azure (Function Apps, scaling, integrations).\nManage configuration, monitoring, and performance optimization in live environments.\nSupport deployments within client-controlled infrastructures.\nWork within client security, access control, and infrastructure constraints.\nOwn end-to-end troubleshooting and incident management in production systems.\nTechnical Requirements\nStrong proficiency in Python and ML/DS libraries (Pandas, scikit-learn, PyTorch/TensorFlow, XGBoost/LightGBM).\nStrong SQL and data wrangling skills; experience with Spark/Databricks is a plus.\nHands-on experience with API-based deployments and cloud-native architectures.\nExperience with CI/CD tools, containerization, and orchestration frameworks.\nFamiliarity with LLM orchestration tools (Langgraph, Langflow, Flowise) is a plus.\nSoft Skills\nStrong cross-functional collaboration skills.\nAbility to communicate technical solutions clearly to both technical and non-technical stakeholders.\nHigh ownership mindset with full lifecycle accountability.\nPositioning of This Role\nThis is a production-focused Python AI engineering role, ideal for someone who:\nWrites clean, scalable Python code\nUnderstands enterprise deployment pipelines\nHas experience working in client-facing or client-hosted environments\nCan independently own AI systems from development to live operations\nLocation\nBangalore, Prestige Technology ParkIndiaKantar Rewards Statement\nAt Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.\nWe go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us.\nWe want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration.\nWe want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.\nKantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.","description_format":"text","description_chars":4681,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Branding","Market Research","Management Consulting","Media & Audience Measurement"],"lifecycle":[{"event":"open","at":"2026-09-24T07:07:50Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":23,"reasons":["conf:2","velocity","win:early","comp:junior"],"computed_at":"2026-09-25T05:45:01Z"},"pay":null,"html_url":"https://alion.io/job/kantar-consultant-1","json_url":"https://alion.io/job/kantar-consultant-1.json","meta":{"generated_at":"2026-09-26T04:15:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4640,"day_limit":5000,"remaining_today":360,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}