{"id":2630483,"url":"https://alion.io/job/clanx-senior-applied-ai-engineer-fine-tuning-remote","title":"Senior Applied AI Engineer (Fine Tuning) - Remote","company":{"id":4417402,"name":"2025 Kocoa Technologies Private Limited","domain":"clanx.ai","url":"https://alion.io/company/clanx-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"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":24000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"PEFT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-07-11T12:00:32Z","employer_posted_date":"2026-07-11","last_verified_at":"2026-10-31T13:27:50Z","board_verified":true,"closed_at":null,"days_open":112,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":111},"description":"Applied AI Engineer with 3+ years of experience in core machine learning, model training, fine-tuning, and production deployment, building scalable AI systems and LLM-powered applications.\nCompany Details\nConqr AI is an early-stage startup building AI solutions for regulated, document-heavy professional workflows. The company focuses on privacy, security, reliability, and delivering high-impact AI products for enterprise users.\nWebsite: https://www.conqr.ai/\nRequirements\n3+ years of overall experience as an AI Engineer\n\nStrong hands-on experience with fine-tuning AI/ML models for production use cases.\n\nExperience with LLM fine-tuning, including model selection, dataset preparation, training, evaluation, and optimization.\n\nProficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn.\n\nExperience deploying and maintaining fine-tuned models in production environments.\n\nFamiliarity with techniques such as LoRA, QLoRA, PEFT, and parameter-efficient fine-tuning.\n\nExperience working with model evaluation, monitoring, and performance optimization.\n\nHands-on experience with AWS, GCP, or Azure cloud platforms.\n\nExperience with Docker, Kubernetes, CI/CD, and MLOps practices.\n\nStrong understanding of APIs and distributed system architecture.\n\nKnowledge of 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performance.\n\nResearch and evaluate emerging AI techniques, tools, and frameworks.\n\nJob Details\nLocation: Remote\nInterview Process\nRecruiter Screening\n\nHiring Manager Discussion\n\nApplied AI Technical Assessment\n\nFounder Round\n\nFinal HR Discussion\n\nImportant Note\nClanX is a recruitment partner, helping Conqr AI hire an Applied AI Engineer.","description_format":"text","description_chars":2602,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Blockchain & Crypto","Commerce"],"lifecycle":[{"event":"open","at":"2026-10-15T16:01:21Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long 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