{"id":1272365,"url":"https://alion.io/job/hr-hai-ai-engineer","title":"AI Engineer","company":{"id":3800277,"name":"HR Hai","domain":"hrhai.com","url":"https://alion.io/company/hr-hai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-02T12:06:35Z","employer_posted_date":null,"last_verified_at":"2026-09-02T12:06:35Z","board_verified":false,"closed_at":null,"days_open":43,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":43},"description":"Experience : 4+ Years\n\nEmployment Type : Full-Time\n\nLocation : Gurugram\n\nRole Overview :\n\nWe are looking for an experienced AI Engineer to design, develop, deploy, and maintain AI and Machine Learning solutions that enable data-driven decision-making and business innovation.\n\nThe role involves a combination of Machine Learning, Data Science, Software Engineering, Cloud Technologies, and MLOps to develop scalable AI models and production-ready ML pipelines.\n\nThe ideal candidate will work closely with data engineers, business stakeholders, business analysts, and technology teams to translate complex business challenges into impactful AI-driven solutions while ensuring model performance, reliability, governance, and continuous improvement.\n\nKey Responsibilities :\n\n- Design, develop, test, and deploy Machine Learning and AI models for advanced analytics and business intelligence initiatives.\n\n- Build and optimize end-to-end ML pipelines, including data preprocessing, feature engineering, model training, validation, and evaluation.\n\n- Collaborate with data engineering teams to ensure data quality, scalability, and efficient data access for AI/ML workloads.\n\n- Work with business analysts and stakeholders to understand business requirements and translate them into effective AI/ML solutions.\n\n- Implement model monitoring, validation, governance, and performance management practices for production ML models.\n\n- Conduct experimentation, Proofs of Concept (POCs), and feasibility studies for emerging AI/ML capabilities.\n\n- Deploy and maintain machine learning solutions across cloud environments.\n\n- Follow MLOps best practices, including model versioning, CI/CD, deployment automation, and lifecycle management.\n\n- Stay updated with emerging AI/ML technologies, frameworks, tools, and industry best practices.\n\n- Document models, algorithms, technical implementations, and deployment processes to support knowledge transfer and audit requirements.\n\nRequired Skills & Qualifications :\n\n- Strong hands-on proficiency in Python, R, or similar programming languages.\n\n- Good understanding of Machine Learning algorithms, statistical modeling, and Data Science fundamentals.\n\n- Hands-on experience with ML frameworks such as :\n\n1. TensorFlow\n\n2. PyTorch\n\n3. Scikit-learn\n\n- Experience with cloud-based ML platforms such as:\n\n1. Azure Machine Learning\n\n2. AWS SageMaker\n\n3. Google Vertex AI\n\n- Experience with ML model deployment and production pipelines.\n\n- Strong knowledge of SQL and data warehouse/data lake architectures.\n\n- Understanding of MLOps practices, model versioning, CI/CD, and ML lifecycle management.\n\n- Strong analytical and problem-solving abilities.\n\n- Ability to translate business requirements into scalable technical solutions.\n\n- Good communication and stakeholder management skills.\n\nPreferred Profile :\n\n- Experience working on end-to-end AI/ML projects from experimentation through production deployment.\n\n- Exposure to cloud-based AI/ML ecosystems and scalable ML architectures.\n\n- Strong understanding of production model monitoring and governance.\n\n- Ability to work collaboratively with data engineers, analysts, business stakeholders, and technology teams.\n\nWhat We Offer :\n\n- Opportunity to work on AI/ML and data-driven business solutions.\n\n- Exposure to cloud technologies, MLOps, and production-grade machine learning environments.\n\n- Growth opportunities in a rapidly evolving AI/ML domain.\nSkills\nArtificial Intelligence, Python, R, Machine Learning, Statistical Modeling, Tensorflow, AWS SageMaker","description_format":"text","description_chars":3545,"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":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.528,"p_room":0.35,"age_days":42,"expected_fill_days":20,"reasons":["seen:42","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/hr-hai-ai-engineer","json_url":"https://alion.io/job/hr-hai-ai-engineer.json","meta":{"generated_at":"2026-10-16T04:11:13Z","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":884,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":3800277},"rest":"https://alion.io/mcp/rest/get_company?id=3800277"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhr-hai-ai-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%2Fhr-hai-ai-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%2Fhr-hai-ai-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/hr-hai-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhr-hai-ai-engineer"}]}