{"id":1597707,"url":"https://alion.io/job/svitla-systems-senior-machine-learning-engineer-2","title":"Senior Machine Learning Engineer","company":{"id":2216,"name":"Svitla Systems","domain":"svitla.com","url":"https://alion.io/company/svitla-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":93,"open_postings":7,"ghost_share":0,"stale_share":0.286,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-04T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["TR","UA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":111000,"max_usd":245000,"period":"year","method":"global_role_seniority_cell","sample_n":1507},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Hugging Face","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-05-29T15:18:52Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-04T23:40:49Z","board_verified":true,"closed_at":null,"days_open":128,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":127},"description":"Svitla Systems Inc. is looking for a Senior ML Engineer for a full-time position (40 hours per week) in Europe or Ukraine\nOur client is an American mobile computing company. They provide AI innovation and acceleration for the company's Business Units and are working on CV and GenAI solutions with an emphasis on device inference (Mostly Qualcomm chipsets). Researchers create/fine-tune models and hand them over to the engineering team to optimize, quantize, etc. The team then builds an application solution with customers to demonstrate value.\nThe perfect candidate should have strong Python programming skills, hands-on experience with data manipulation, and a solid background in machine learning, particularly in classification and retrieval tasks. This role requires practical experience with large language models, NLP, retrieval-augmented generation, prompt engineering, and modern ML development tools.\nRequirements\nA solid background in machine learning, particularly in classification and retrieval tasks, as well as hands-on experience with large language models (LLMs), including fine-tuning for specific use cases, retrieval-augmented generation (RAG), foundation models APIs, and prompt engineering.\nStrong understanding of programming with Python.\nExperience with: LLM fine-tuning, retrieval-augmented generation, foundation model APIs, prompt engineering.\nSolid knowledge of machine learning and artificial intelligence.\nExperience with classification and retrieval tasks.\nHands-on experience with large language models.\nKnowledge of Pandas and NumPy.\nGood understanding of NLP concepts.\nFamiliarity with Faiss or similar nearest-neighbor search tools.\nExperience with Hydra for configuration management.\nExperience with Weights & Biases for experiment tracking.\nExperience with Git and GitHub.\nExpertise in data management and manipulation.\nStrong problem-solving and analytical abilities.\nExperience working with shared codebases, remote teams, and remote servers.\nNice to have\nUnderstanding of vector search and embedding-based retrieval. \nFamiliarity with LLM evaluation and optimization. \nKnowledge of MLOps practices. \nExperience deploying ML models in production environments. \nExperience with cloud-based ML infrastructure. \nFamiliarity with LangChain, LlamaIndex, or similar LLM frameworks. \nResponsibilities\nDevelop, train, evaluate, and deploy machine learning models. \nWork on classification, retrieval, NLP, and LLM-based tasks. \nBuild and optimize retrieval-augmented generation workflows. \nCreate fine-tuned large language models for specific use cases. \nUse foundation model APIs and apply prompt engineering techniques. \nPrepare, clean, manage, and manipulate datasets for ML model development. \nUse Python libraries such as Pandas and NumPy for data analysis and preprocessing. \nWork with Hugging Face Transformers and Datasets libraries. \nApply Faiss or similar tools for efficient nearest-neighbor search and retrieval tasks. \nUse Hydra for configuration management. \nUse Weights & Biases or similar tools for experiment tracking. \nCollaborate with team members on shared codebases and remote projects. \nUse Git and GitHub for version control and collaborative development. \nWork on remote servers to develop, test, and deploy machine learning models.","description_format":"text","description_chars":3289,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Turkey","iso":"TR","kind":"country"},{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["DevOps & Platform Engineering","IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-01T18:20:02Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.516,"p_room":0.28,"age_days":127,"expected_fill_days":55,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/svitla-systems-senior-machine-learning-engineer-2","json_url":"https://alion.io/job/svitla-systems-senior-machine-learning-engineer-2.json","meta":{"generated_at":"2026-10-05T00:56:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1209,"day_limit":5000,"remaining_today":3791,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}