{"id":1278805,"url":"https://alion.io/job/algoshack-aiml-engineer","title":"AI/ML Engineer","company":{"id":3806672,"name":"AlgoShack","domain":"algoshack.com","url":"https://alion.io/company/algoshack","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":73,"open_postings":48,"ghost_share":0.458,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Keras","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2025-04-03T13:55:03Z","employer_posted_date":"2025-04-03","last_verified_at":"2026-10-29T09:05:01Z","board_verified":true,"closed_at":null,"days_open":573,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":573},"description":"Role: AI/ML Engineer\nQualification: B.E./B.Tech.\nExperience: 3 years of relevant experience\nJob Description:\nAs an AI/ML Engineer, you will focus on integrating and scaling GenAI and ML features within our cloud-based test automation platform. You’ll collaborate with the product and engineering teams to design, implement, and optimize AI-driven functionality, ensuring it enhances the customer experience while being reliable and scalable.\nResponsibilities:\nEnhance our platform by integrating generative AI and ML features for intelligent test automation.\nBuild, deploy, and manage ML models on cloud platforms.\nImprove and extend existing AI/ML capabilities already integrated into the product.\nCollaborate with engineering to ensure smooth integration of AI/ML features into the SDLC.\nMonitor performance of deployed models, troubleshoot issues, and optimize results.\nAutomate and streamline deployment workflows using CI/CD pipelines.\nStay current with advancements in GenAI, ML, and cloud tools to identify opportunities for the product.\nRequired Skills:\n3 years of experience building and deploying ML/AI solutions in production.\nProficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, or Keras).\nHands-on experience deploying ML solutions on cloud platforms.\nFamiliarity with generative AI models / LLMs and their use in applied business cases.\nExperience in LLM fine-tuning and integrating models into applications.\nStrong understanding of ML algorithms, deep learning, and data preprocessing.\nExperience with CI/CD pipelines and automation in a cloud environment.\nKnowledge of software testing practices (a plus for aligning with our platform).\nNice to have:\nExperience with AWS services (Bedrock, SageMaker, etc.)\nPrior experience in test automation or DevOps tooling\nHands-on work with LLM fine-tuning and prompt engineering\nExposure to test automation frameworks and related tools\n\nWhy AlgoShack?\nAlgoShack is a cutting-edge IT product-based company focused on software test automation. At AlgoShack, you'll work on innovative projects with the latest technologies in a collaborative environment. 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