{"id":2727457,"url":"https://alion.io/job/rockwell-automation-aiml-engineer","title":"AI/ML Engineer","company":{"id":12129,"name":"Rockwell Automation","domain":"rockwellautomation.com","url":"https://alion.io/company/rockwell-automation","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":74,"ghost_share":0.014,"stale_share":0.378,"repost_share":0.108,"time_to_fill_p50_days":27,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Dagster","optional":false},{"name":"Dask","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Evidently AI","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Flink","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Grafana","optional":false},{"name":"Hugging Face","optional":false},{"name":"Interpretability","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LightGBM","optional":false},{"name":"LIME","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Mistral","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"PEFT","optional":false},{"name":"Pinecone","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Ray","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"SHAP","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"TorchServe","optional":false},{"name":"Transformers","optional":false},{"name":"Triton Inference Server","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-16T16:47:41Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-22T04:25:12Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.\nWe welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!\nJob Description\nPosition Summary\nWe are looking for a experienced AI/ML Engineer to design, build, and deploy machine learning models and intelligent systems that solve real business problems at scale. This role has a strong focus on modern generative AI - building LLM-powered applications, RAG pipelines, and agentic AI systems - alongside classical ML. You will work across the full ML/AI lifecycle, from data exploration and model development to production deployment and monitoring, partnering closely with Data Science, Product, and Platform Engineering teams. This role suits someone who enjoys turning research and prototypes into reliable, production-grade systems.\nYou will be reporting to Team Lead-IT\nYour Responsibilities\nDesign and build LLM-powered applications, RAG pipelines, and agentic AI workflows to automate and augment business processes.\nStay current with the latest ML/AI research (including LLMs, RAG, and agentic systems) and evaluate applicability to company use cases.\nDocument architectures, experiments, and decisions; contribute to internal ML standards, code reviews, and knowledge sharing.\nEnsure responsible AI practices - fairness, explainability, privacy, and security - are embedded throughout model development\nBuild and maintain robust, scalable data pipelines for feature engineering, model training, and inference (batch and real-time).\nDeploy models into production using MLOps best practices - CI/CD for ML, containerization, model versioning, and automated retraining pipelines.\nMonitor deployed models for drift, performance degradation, bias, and data quality issues; implement retraining and alerting strategies.\nCollaborate with Data Engineers to ensure clean, reliable, and well-governed data is available for model development.\nPartner with Product Managers and stakeholders to translate business requirements into ML solutions and model capabilities, limitations, and trade-offs.\nConduct experiments (A/B tests, offline evaluation) to validate model performance and business impact.\nOptimize models for latency, throughput, and cost (quantization, distillation, pruning, efficient inference serving).\nThe Essentials - You Will Have\nBachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Machine Learning, or a related field (or equivalent practical experience).\n2-5+ years of hands-on experience building and deploying machine learning models in production (adjust based on seniority: 5-8+ years for Senior/Staff level).\nTechnical Skills\nStrong programming skills in Python; familiarity with SQL\nProficiency with ML/DL frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost/LightGBM.\n5+ years of experience with the ML lifecycle: data preprocessing, feature engineering, model training, hyperparameter tuning, evaluation, and deployment.\nHands-on experience with MLOps tooling: MLflow, Kubeflow, SageMaker, Vertex AI, Airflow, or similar for experiment tracking, orchestration, and deployment.\nSolid understanding of statistics, probability, linear algebra, and core ML/DL algorithms.\nExperience with cloud platforms (Azure) and containerization/orchestration (Docker, Kubernetes).\nFamiliarity with distributed data processing (Spark, Ray, Dask) and data pipeline/orchestration tools (Airflow, Dagster).\n5+ years of experience with model serving and APIs (FastAPI/Flask, TorchServe, Triton Inference Server, or similar).\nVersion control (Git) and CI/CD practices for ML systems.\nGenerative AI, LLMs & Agentic Applications (Essential)\nHands-on experience building applications powered by Large Language Models (LLMs) - e.g., OpenAI, Anthropic Claude, Llama, Mistral, or Gemini APIs.\nPractical experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, embeddings, and retrieval evaluation.\nExperience building agentic AI systems / multi-step autonomous workflows (tool use, function calling, planning, orchestration) using frameworks such as LangChain, LlamaIndex, or similar.\nWorking knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus, Chroma) for semantic search and retrieval at scale.\nExperience with prompt engineering, evaluation, and fine-tuning/adapting LLMs (LoRA, PEFT) for domain-specific use cases.\nUnderstanding of the trade-offs, latency, cost, and safety considerations of deploying LLM- and agent-based applications in production.\nThe Preferred - You Might Also Have\nExperience deploying and scaling multi-agent systems in production (orchestration, memory, guardrails, observability for agentic workflows).\nContributions to open-source LLM/RAG tooling, or published work on GenAI applications.\nPublications, open-source contributions, or Kaggle competition experience.\nExperience with real-time/streaming ML systems (Kafka, Flink, Spark Streaming).\nDomain experience relevant to the business (e.g., fintech, healthcare, e-commerce, cybersecurity).\nUnderstanding of responsible AI, model interpretability (SHAP, LIME), and privacy-preserving ML techniques.\nTools & Technology (Representative)\nLanguages: Python, SQL\nML/DL: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers\nGenAI / LLM: OpenAI, Anthropic Claude, LangChain, LlamaIndex, RAG pipelines, vector DBs (Pinecone/Weaviate/FAISS)\nMLOps: MLflow, Kubeflow, SageMaker/Vertex AI/Azure ML, Airflow\nData: Spark, Pandas, Snowflake/BigQuery/Redshift\nInfra: Docker, Kubernetes, AWS/GCP/Azure, Terraform\nMonitoring: Prometheus/Grafana, Evidently AI, WhyLabs\nWhat We Offer:\nOur benefits package includes:\nComprehensive mindfulness programmed with a premium membership to Calm\nVolunteer Paid Time Off available after 6 months of employment\nCompany volunteer and donation matching programme\nEmployee Assistance Program\nPersonalised wellbeing programmed through our OnTrack programmed\nOn-demand digital course library for professional development\n... and other local benefits!\nAt Rockwell Automation, we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply. You may be just the right person for this or other roles.\n#LI-Hybrid\n#LI-KV1\nRockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.","description_format":"text","description_chars":7084,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Manufacturing","Motors, Drives & Motion Control","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-10-16T16:47:41Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.898,"p_room":1,"age_days":5,"expected_fill_days":27,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/rockwell-automation-aiml-engineer","json_url":"https://alion.io/job/rockwell-automation-aiml-engineer.json","meta":{"generated_at":"2026-10-22T08:30:35Z","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":4738,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":12129},"rest":"https://alion.io/mcp/rest/get_company?id=12129"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frockwell-automation-aiml-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%2Frockwell-automation-aiml-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%2Frockwell-automation-aiml-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/rockwell-automation-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frockwell-automation-aiml-engineer"}]}