{"id":1252854,"url":"https://alion.io/job/nobleedge-talent-advisory-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":3800222,"name":"NobleEdge Talent Advisory","domain":"nobleedgetalent.com","url":"https://alion.io/company/nobleedge-talent-advisory","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"Jenkins","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"TGI","optional":false},{"name":"vLLM","optional":false},{"name":"Kubeflow","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"MLFlow","optional":true},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-09-12T05:52:29Z","employer_posted_date":null,"last_verified_at":"2026-09-12T05:52:29Z","board_verified":false,"closed_at":null,"days_open":33,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":33},"description":"Looking for immediate Joiners or short notice period candidates\n\nRole Overview :\n\nWe are looking for a Senior ML Engineer with 5+ years of experience to build, productionize, and operate ML and Generative AI solutions for our AI-powered investing advisor and wealth management platform.\n\nThe role combines ML Engineering, financial ML, GenAI, and MLOps/LLMOps, with ownership across the ML lifecycle - from experimentation and evaluation to deployment, monitoring, optimization, and continuous improvement.\n\nKey Responsibilities :\n\n- Build and productionize ML and AI solutions for wealth management and investment use cases, including portfolio optimization, asset allocation, risk modeling, forecasting, investor personalization/recommendations, financial NLP, RAG, and AI agents.\n\n- Develop scalable ML/AI pipelines for training, evaluation, deployment, inference, monitoring, and retraining.\n\n- Own key aspects of MLOps/LLMOps, including CI/CD, automated testing, model/prompt versioning, deployment, monitoring, and lifecycle management.\n\n- Build LLM evaluation and observability capabilities covering quality, hallucination, reliability, latency, cost, and model/data drift.\n\n- Develop production-grade ML services, APIs, and inference systems using Python, FastAPI/Django, and LangGraph or similar frameworks.\n\n- Build and operate AI infrastructure using AWS, Hetzner, Docker, Terraform, and Jenkins.\n\n- Support self-hosted LLMs on GPU infrastructure, including model serving with vLLM/TGI and fine-tuning using LoRA/QLoRA.\n\n- Work closely with Data Scientists, Software Engineers, and Investment Domain Experts to take AI solutions from experimentation to production.\n\n- Ensure AI systems meet requirements for security, governance, privacy, model risk, reliability, and responsible AI.\n\nQualifications & Key Skills :\n\n- Bachelor's/Master's degree in Computer Science, Engineering, Data Science, or related field.\n\n- 5+ years of experience in ML Engineering, AI Engineering, MLOps, or related roles.\n\n- Strong Python and software engineering skills with experience building production ML/AI systems.\n\n- Hands-on experience with ML model development, deployment, monitoring, evaluation, and lifecycle management.\n\n- Experience applying ML to problems such as prediction/forecasting, classification, ranking/recommendation, risk modeling, optimization, or personalization.\n\n- Practical experience with LLMs, RAG, embeddings, vector databases, LLM evaluation, and AI agents.\n\n- Strong understanding of MLOps/LLMOps, CI/CD, Docker, Git, APIs, and automated testing.\n\n- Experience with AWS, Terraform, Jenkins, and production infrastructure.\n\n- Experience with GPU infrastructure and self-hosted LLM serving such as vLLM/TGI; exposure to LoRA/QLoRA is desirable.\n\n- Familiarity with MLflow, Langfuse, Airflow/Kubeflow, or similar tools.\n\n- Experience with FastAPI/Django and LangGraph is desirable.\n\n- Understanding of AI governance, security, data privacy, model risk, and responsible AI.\n\n- Experience in Banking & financial services, investment management, wealth management, or fintech is an advantage.\n\nTech Stack : Python, ML/GenAI, RAG, LLMs, AI Agents, LangGraph, MLflow, Langfuse, FastAPI/Django, Jenkins, AWS, Hetzner GPU, Docker, Terraform, vLLM/TGI, LoRA/QLoRA\n\nSkills\nPython, Machine Learning, AWS, FastAPI, LangGraph, Generative AI, MLOps, Data Science, LLM, RAG","description_format":"text","description_chars":3379,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.605,"p_room":0.55,"age_days":32,"expected_fill_days":23,"reasons":["seen:32","velocity","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/nobleedge-talent-advisory-senior-machine-learning-engineer","json_url":"https://alion.io/job/nobleedge-talent-advisory-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-15T19:31:09Z","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":29623,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":3800222},"rest":"https://alion.io/mcp/rest/get_company?id=3800222"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnobleedge-talent-advisory-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%2Fnobleedge-talent-advisory-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%2Fnobleedge-talent-advisory-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/nobleedge-talent-advisory-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnobleedge-talent-advisory-senior-machine-learning-engineer"}]}