{"id":2975120,"url":"https://alion.io/job/fugentex-solutions-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":3806667,"name":"FuGenTex Solutions","domain":"fugentex.com","url":"https://alion.io/company/fugentex-solutions","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"WP Job Openings","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"freelance","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":49000,"period":"year","method":"role_seniority_country_cell","sample_n":45},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"CI/CD","optional":true},{"name":"Embeddings","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Search","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-14T06:25:17Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-22T03:02:03Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":6},"description":"Role Overview\nWe are looking for a Senior Machine Learning Engineer with strong hands-on experience in MLOps, production ML systems, PySpark, and Databricks.\nThe role is focused more on deploying, operationalizing, monitoring, and maintaining ML/DL models in production than on pure research or model development.\nKey Responsibilities\nDesign, deploy, and operationalize Machine Learning and Deep Learning models in production.\nBuild and maintain end-to-end MLOps workflows, covering model training, validation, deployment, monitoring, versioning, and retraining.\nDevelop scalable data and ML pipelines using PySpark and Databricks.\nProductionize Deep Learning models and support scalable model inference.\nWork with multimodal data, combining Computer Vision, textual data, metadata, and other signals to build ML solutions.\nImplement model monitoring, performance tracking, drift detection, experiment tracking, and lifecycle management.\nWork with cloud-based ML infrastructure and deployment platforms.\nCollaborate with Data Scientists, ML Engineers, Data Engineers, and business stakeholders to deliver production-ready ML solutions.\nEnsure ML systems are scalable, reliable, maintainable, and suitable for production environments.\nMandatory Skills\n5+ years of experience in Machine Learning / ML Engineering.\nStrong hands-on MLOps and production ML deployment experience.\nPySpark - mandatory.\nDatabricks - mandatory.\nExperience deploying Deep Learning models into production.\nStrong understanding of the end-to-end MLOps lifecycle.\nExperience working with Computer Vision + textual data + metadata or other multimodal data.\nExperience with at least one cloud platform such as AWS, Azure, or GCP.\nStrong Python programming skills.\nGood to Have\nStrong understanding of Deep Learning architectures.\nExperience building Deep Learning models using PyTorch or TensorFlow.\nExperience with Generative AI / RAG.\nUnderstanding and practical experience with embeddings, vector databases, and semantic search.\nExperience with MLflow or similar ML lifecycle/experiment tracking tools.\nExperience with Kubernetes, CI/CD, model serving, or ML monitoring platforms.\nWhat We’re Looking For\nThe ideal candidate is someone who can take an ML/DL solution beyond experimentation and make it production-ready - including deployment, monitoring, scaling, versioning, and ongoing lifecycle management.","description_format":"text","description_chars":2380,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["DevOps & Platform Engineering","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-21T04:22:20Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":6,"expected_fill_days":30,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/fugentex-solutions-senior-machine-learning-engineer","json_url":"https://alion.io/job/fugentex-solutions-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-22T05:35:07Z","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":64,"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":3806667},"rest":"https://alion.io/mcp/rest/get_company?id=3806667"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffugentex-solutions-senior-machine-learning-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%2Ffugentex-solutions-senior-machine-learning-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%2Ffugentex-solutions-senior-machine-learning-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/fugentex-solutions-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffugentex-solutions-senior-machine-learning-engineer"}]}