{"id":3151810,"url":"https://alion.io/job/convegenius-machine-learning-engineer-2","title":"Machine Learning Engineer","company":{"id":1281,"name":"ConveGenius","domain":"convegenius.com","url":"https://alion.io/company/convegenius","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"A","score":95,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-10-24T06:02:35Z"}},"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":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DeepSpeed","optional":false},{"name":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FSDP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Megatron-LM","optional":false},{"name":"PEFT","optional":false},{"name":"Perplexity","optional":false},{"name":"PPO","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"Reward Modeling","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false},{"name":"Transformers","optional":false},{"name":"TRL","optional":false}],"status":"live","first_seen_at":"2026-10-23T12:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T12:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"As the ML Engineer, you will adapt and optimise foundation models for personalised learning in Indian languages and educational contexts. You own the complete fine-tuning lifecycle: data curation, training runs, evaluation, and deployment of customised LLMs that power the learning experience.\n\nResponsibilities: \nFine-tune foundation models for education-specific tasks: question answering, content generation, adaptive feedback, and curriculum alignment.\nOwn end-to-end fine-tuning workflows: dataset curation, training runs, hyperparameter tuning, evaluation, and model versioning.\nImplement efficient fine-tuning methods (LoRA, QLoRA, DoRA, adapters) appropriate to available compute budgets.\nBuild RLHF and preference optimisation pipelines: DPO, PPO, reward modelling for aligning models to learning outcomes.\nOptimise GPU training efficiency: DeepSpeed, FSDP, gradient checkpointing, mixed precision, multi-GPU setups.\nEvaluate fine-tuned models rigorously: perplexity, task-specific benchmarks, human eval, and regression testing.\nBuild data pipelines for instruction tuning datasets including multilingual and Indic language data.\nAssess new open-source model releases for domain applicability and adoption readiness.\nDefine and track model performance metrics, evaluation benchmarks, and optimisation targets across all fine-tuned model versions.\nWork with open-source and sovereign LLMs, owning the full model adaptation lifecycle using proven, industry-standard frameworks.\n\nRequirements: \nStrong experience in fine-tuning and optimising Large Language Models (LLMs).\nHands-on experience with LoRA, QLoRA, SFT, DPO, RLHF, or similar fine-tuning techniques.\nProficiency in PyTorch and Hugging Face ecosystem (Transformers, PEFT, TRL).\nExperience with distributed and multi-GPU model training.\nStrong understanding of model performance, evaluation, and optimisation.\nKnowledge of DeepSpeed, Megatron-LM, and large-scale training frameworks.\nUnderstanding of AI/ML pipelines, data preparation, and model deployment.\nExperience working with open-source and sovereign LLMs; focus on standard, production-proven frameworks.\nSkills\nLLM, ML, PyTorch, large language model, large language models, machine learning","description_format":"text","description_chars":2216,"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":["EdTech Platforms","Primary Education"],"lifecycle":[{"event":"open","at":"2026-10-23T12:35:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":69,"reasons":["seen:0","velocity","win:early"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/convegenius-machine-learning-engineer-2","json_url":"https://alion.io/job/convegenius-machine-learning-engineer-2.json","meta":{"generated_at":"2026-10-24T11:31:22Z","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":16410,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":1281},"rest":"https://alion.io/mcp/rest/get_company?id=1281"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fconvegenius-machine-learning-engineer-2"},{"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%2Fconvegenius-machine-learning-engineer-2"},{"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%2Fconvegenius-machine-learning-engineer-2"},{"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/convegenius-machine-learning-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fconvegenius-machine-learning-engineer-2"}]}