{"id":3349896,"url":"https://alion.io/job/weekday-ai-ml-engineer-senior","title":"AI ML Engineer (Senior)","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":91,"ghost_share":0,"stale_share":0.978,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":27000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"gRPC","optional":false},{"name":"Java","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Rest API","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-27T18:16:18Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T01:56:48Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"'\n: - ( - )\nExperience: 10+ yrs\nLocation: Bengaluru\nAs a Senior AI ML Engineer, you will architect and deploy advanced machine learning solutions that power intelligent, agentic systems, driving business value across diverse domains. Leveraging your deep expertise in model development, you will design scalable pipelines, implement state-of-the-art algorithms, and transform data into actionable predictions. You will collaborate closely with cross-functional teams to translate complex requirements into cloud-native applications, ensuring seamless integration with existing platforms and external APIs. Your role will also involve mentoring junior talent, championing best practices, and continuously optimizing model performance and system reliability in a fast-moving, high-impact environment.\nRequirements\nDesign, prototype, and validate end-to-end machine learning workflows from data ingestion to inference.\nDevelop and fine-tune agentic AI models that autonomously adapt to changing user contexts.\nBuild cloud-native microservices and APIs to expose ML capabilities for internal and external consumption.\nIntegrate ML models with enterprise platforms such as data lakes, Kubernetes clusters, and event-driven architectures.\nEnsure robust model governance, monitoring, and continuous improvement cycles.\nCollaborate with data engineering to optimize data pipelines and feature stores.\nMentor and guide junior engineers on best practices, coding standards, and model deployment strategies.\nConduct performance benchmarking, A/B testing, and scaling studies to meet SLAs.\nLead the selection and evaluation of cutting-edge ML frameworks and cloud services.\nDocument architecture, code, and operational procedures for maintainability and knowledge transfer.\n10+ years of experience in machine learning and data science with a proven track record of production deployments.\nDeep expertise in building agentic AI solutions using reinforcement learning, NLP, or multimodal models.\nProficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).\nStrong background in developing RESTful and gRPC APIs and integrating them with external systems.\nHands-on experience with CI/CD pipelines, automated testing, and model deployment tools.\nExcellent coding skills in Python, Java, or Go, with familiarity in scalable frameworks such as TensorFlow, PyTorch, or JAX.\nDemonstrated ability to translate business requirements into technical designs and measurable outcomes.\nExperience mentoring teams, conducting code reviews, and driving technical excellence.\nSolid understanding of data privacy, security, and compliance standards in a cloud environment.\nPassion for staying current with emerging AI technologies and a proactive approach to problem 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