{"id":36771,"url":"https://alion.io/job/hotstar-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":8901,"name":"JioStar","domain":"jiostar.com","url":"https://alion.io/company/jio-star","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":40,"ghost_share":0,"stale_share":0.925,"repost_share":0.025,"time_to_fill_p50_days":44,"computed_at":"2026-10-22T06:10:10Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-02T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-22T01:08:11Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":81},"description":"Job Title: Senior Machine Learning Engineer\nLocation: Bangalore\nWork Type: Full time\nJOB SUMMARY:\nAs a Sr. ML Engineer, you will play a pivotal role in building end to end ML lifecycle with scale. Our recommendation engine creates personalized home page experiences for millions globally, adapting to user interests in real-time. Leveraging ML algorithms and A/B testing, we continuously refine our recommendations. If you're passionate about tackling complex technical challenges using big data, ML models, and building scalable services, you'll thrive here.\nAbout the team:\nAt JioHotstar, the Viewer Experience (VX) org is at the heart of how millions discover, engage with, and fall in love with our platform. We own the end-to-end user journey-from first app launch to daily habit loops-across Search, Personalization, Watch Experience, Interactivity, and more. We blend world-class engineering, ML, design, and data to deliver a seamless, personalized, and engaging OTT experience at massive scale. If you're passionate about building immersive, intelligent, and performant user experiences that delight a billion users, join us in shaping the future of streaming.\nKEY RESPONSIBILITIES:\nPossess deep knowledge of core systems and takes full responsibility for the code, design, and project delivery, ensuring high quality and on-time completion\nResponsible for end to end Machine Learning Lifecycle and work with a diverse range of frameworks & technologies from Big data frameworks like Spark, Flink, Kafka, etc to ML frameworks like TensorFlow serving\nDesign and implement low-latency caching and storage solutions\nBuild stream processing pipelines to compute near real-time features that will help us serve real-time recommendations for our users\nYou will continuously evaluate relevant technologies, influence and drive architecture and design\ndiscussions\nTackles complex technical challenges independently for complex systems, demonstrating technical depth and proficiency\nCollaborate with Product Managers and cross-functional teams to understand requirements and deploy high-quality software solutions that meet business objectives\nSKILLS & ATTRIBUTES FOR SUCCESS:\nStrong coding skills in Python, Java, Golang, or Scala\nExperience with Big Data frameworks like Spark and Kubernetes for data and ML workloads\nProficient in implementing API performance monitoring solutions using tools such as Grafana, Prometheus, and Cloudwatch\nSkilled in developing end-to-end machine learning pipelines ensuring consistency between development and production environments\nAbility to design scalable ML architectures tailored to site traffic and feature complexity for predictive algorithms\nFamiliar with model and data versioning, resource allocation and scaling, and logging to build optimal systems\nExperienced in creating systems that monitor and react to faults in resources, data streams, and model responses\nExpertise with MLOps tools for scalable, production-level deployment, including feature stores, model hosting and versioning, data versioning, prediction and drift monitoring, and automated remediation\nStrong problem-solving skills and the ability to work effectively in a fast-paced environment\nCommitment to continuous learning and professional development\nPREFERRED EDUCATION & EXPERIENCE:\nB.Tech/B.E/ Masters or equivalent degree. At least 4+ years of professional experience in software engineering roles, with a track record of delivering high-quality projects independently.\nABOUT US:\nJioStar is a leading media & entertainment company in India that reaches over 700 million viewers a month in nine different languages. Our entertainment portfolio which cuts across general entertainment, movies, sports, infotainment, kids, and lifestyle content generates over 20,000 hours of original content every year.\nJioStar, India’s leading streaming platform, enables us to reach and entertain audiences anywhere, anytime. 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