{"id":2738557,"url":"https://alion.io/job/hcltech-senior-erp-specialist-6","title":"Senior ERP Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":205000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":737},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pandas","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":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Google GKE","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-16T19:53:36Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-28T23:54:52Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Job Summary\nJob Title: Machine Learning Engineer (Generative AI & Cloud)Work Location: \"Remote - US/Canada\"The Opportunity We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work with a modern tech stack centered on Python, Google Cloud Platform, and the latest in LLM technology. Responsibilities Generative AI Development:Design, develop, and fine-tune Generative AI solutions using models like Google's Gemini for tasks such as information extraction, document summarization, and report generation.Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.Research and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems. End-to-End Machine Learning:Design and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.Build and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI, BigQuery. etc.Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.Collaboration & Strategy:Partner closely with data scientists, software engineers, and other business stakeholders to frame problem statements, define technical requirements and deliver integrated AI/ML solutions.Champion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of our machine learning systems.Continuously evaluate and stay current with the latest advancements in the ML and GenAI landscape. Required Qualifications Experience: 3+ years of professional experience building and deploying machine learning models in a production environment.Education: Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative field.Programming: Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).Data & SQL: Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.Generative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).Cloud Platform: Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).MLOps: Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD). Preferred Qualifications (Nice-to-Haves):Master’s or PhD in a relevant field.Specific experience with GCP services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.Experience building RAG systems from the ground up.Proven ability to lead technical projects and mentor other engineers.\nKey Responsibilities\nJob Title: Machine Learning Engineer (Generative AI & Cloud)Work Location: \"Remote - US/Canada\"The Opportunity We are seeking a talented and experienced Machine Learning Engineer. In this role, you will be at the forefront of applying Generative AI and traditional machine learning to solve complex business challenges. You will bridge the gap between data science and software engineering, taking models from concept to production and ensuring they are robust, scalable, and impactful. You'll work with a modern tech stack centered on Python, Google Cloud Platform, and the latest in LLM technology. Responsibilities Generative AI Development:Design, develop, and fine-tune Generative AI solutions using models like Google's Gemini for tasks such as information extraction, document summarization, and report generation.Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.Research and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems. End-to-End Machine Learning:Design and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.Build and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI, BigQuery. etc.Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.Collaboration & Strategy:Partner closely with data scientists, software engineers, and other business stakeholders to frame problem statements, define technical requirements and deliver integrated AI/ML solutions.Champion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of our machine learning systems.Continuously evaluate and stay current with the latest advancements in the ML and GenAI landscape. Required Qualifications Experience: 3+ years of professional experience building and deploying machine learning models in a production environment.Education: Bachelor's degree in Computer Science, Data Science, Statistics, or a related quantitative field.Programming: Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).Data & SQL: Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.Generative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).Cloud Platform: Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).MLOps: Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD). Preferred Qualifications (Nice-to-Haves):Master’s or PhD in a relevant field.Specific experience with GCP services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.Experience building RAG systems from the ground up.Proven ability to lead technical projects and mentor other engineers.\nSkill Requirements\nOther Requirements","description_format":"text","description_chars":6330,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-16T19:53:36Z"}],"visa":[],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.973,"p_room":0.9,"age_days":11,"expected_fill_days":27,"reasons":["conf:3","wave","velocity","win:mid","comp:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-senior-erp-specialist-6","json_url":"https://alion.io/job/hcltech-senior-erp-specialist-6.json","meta":{"generated_at":"2026-10-29T03:35:35Z","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":5548,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":225},"rest":"https://alion.io/mcp/rest/get_company?id=225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhcltech-senior-erp-specialist-6"},{"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%2Fhcltech-senior-erp-specialist-6"},{"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%2Fhcltech-senior-erp-specialist-6"},{"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/hcltech-senior-erp-specialist-6\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhcltech-senior-erp-specialist-6"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2738557}},{"tool":"search_jobs","arguments":{"company":"hcltech.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2738557},"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); https://alion.io/mcp with an Alion account has everything. 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