{"id":499659,"url":"https://alion.io/job/apparelgroup-ai-ml-engineer","title":"AI ML Engineer","company":{"id":446519,"name":"Apparel Group","domain":"apparelgroup.com","url":"https://alion.io/company/apparelgroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"C","score":68,"open_postings":177,"ghost_share":0.61,"stale_share":0,"repost_share":0.011,"time_to_fill_p50_days":20,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Distillation","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tokenization","optional":false}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-26T19:41:19Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":1,"flags":["company_stale"],"days_open":73},"description":"Key responsibilities\n1) Model & Solution Engineering  Translate business problems into ML formulations; select suitable architectures (e.g., gradient boosting, transformers) with clear success metrics.  Build end-to-end pipelines: feature extraction, training, hyperparameter tuning, and packaging models as reproducible artifacts.  Optimize inference (quantization, distillation, mixed precision) for latency and throughput on CPU/GPU.  Conduct evaluation beyond accuracy (calibration, fairness, cost-sensitive metrics, PR/ROC under imbalance).\n2) MLOps, Deployment & Observability  Implement model versioning, lineage, and experiment tracking; manage rollbacks and canary releases.  Build real-time and batch inference services; integrate with message buses and vector databases.  Monitor for schema checks, data drift, performance regression, and cost observability.  Create alerting and autoscaling policies tied to SLAs, maintain incident runbooks for model services\n3) Data Engineering, Quality & Governance  Design data contracts; implement ETL/ELT pipelines (e.g., Spark/Databricks) with testing and backfills.  Enforce data quality gates and schema evolution strategies to prevent mismatches.  Apply privacy-by-design: PII handling, tokenization, and secure secrets management.  Collaborate on cost-efficient data architectures (tiering, caching, Parquet/Delta formats)\n4) Experimentation, Product Integration & Stakeholder Enablement  Design experiments (A/B, counterfactual evaluation); define guardrails and success criteria with product teams.  Integrate models via APIs/SDKs with business rules and fallbacks for graceful degradation.  Produce clear documentation (model cards, decision logs) and present trade-offs to stakeholders.\nQualifications & Skills\n Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.\n Proven experience in designing, training, and deploying machine learning models and AI solutions.\n Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).\n Hands-on experience with MLOps tools and practices (Docker, Kubernetes, MLflow, CI/CD pipelines).\n Proficiency in data processing and ETL tools (Spark, Databricks) and working with large datasets.\n Knowledge of model optimization techniques (quantization, distillation) and performance tuning for production environments.\n Familiarity with cloud platforms (Azure, AWS, or GCP) and scalable architecture design.\n Understanding of data governance, privacy standards, and compliance requirements.\n Strong analytical and problem-solving skills with attention to detail.\n Excellent communication skills to collaborate with cross-functional teams and present technical concepts clearly.","description_format":"text","description_chars":2778,"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":["Commerce"],"lifecycle":[{"event":"open","at":"2026-09-07T09:06:17Z"},{"event":"close","at":"2026-09-16T09:13:44Z"},{"event":"reopen","at":"2026-10-08T13:01:22Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.137,"p_room":0.28,"age_days":73,"expected_fill_days":20,"reasons":["conf:1","stale_co","win:tail","crowd:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/apparelgroup-ai-ml-engineer","json_url":"https://alion.io/job/apparelgroup-ai-ml-engineer.json","meta":{"generated_at":"2026-10-26T23:04:47Z","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":31329,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":446519},"rest":"https://alion.io/mcp/rest/get_company?id=446519"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapparelgroup-ai-ml-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fapparelgroup-ai-ml-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fapparelgroup-ai-ml-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/apparelgroup-ai-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapparelgroup-ai-ml-engineer"}]}