Machine Learning Engineer
1 week ago
ML Engineer (Studio Applications)Location: Remote (India) Level: Mid/Senior (5–10+ years)About the role The ML Engineer (Studio Applications) focuses on deploying and maintaining machine learning models that support LoglineAI’s production workflows. The role is primarily applied and production-focused rather than research-oriented. The engineer will integrate third-party and open-source models for image and video generation, enhancement, and quality control into the platform. They will fine-tune models where necessary, manage inference services, and work with pipeline engineers and any research staff to ensure models perform reliably in real use cases. Responsibilities:Integrate third-party and open-source models (image/video generation, super-resolution, artifact detection) into LoglineAI’s platform. Fine-tune or adapt models for specific needs such as style preservation, character identity, motion and camera control, and cleanup. Design and operate inference services, including model serving, autoscaling, A/B testing, and performance monitoring. Collaborate with Pipeline Engineers on model selection, parameter choices, and trade-offs between cost and quality. Work with research-oriented staff to convert prototypes into stable, monitored production services. Requirements:5–10+ years of experience in machine learning or computer vision, with strong Python and PyTorch/TensorFlow skills. Proven experience deploying models to production (batch or real-time inference). Experience with diffusion or other generative models, ideally including video or sequence-aware work. Familiarity with Docker/Kubernetes, experiment tracking (e.g., Weights & Biases, MLflow), and ML observability practices. Ability to read and implement methods from research papers at a practical level. Ideal Candidate comes from applied CV/ML product teams or ML platform/MLOps environments, working in Machine Learning Engineer, Computer Vision Engineer, Applied Scientist, or Senior Data Scientist focused on ML-heavy, GPU-driven systems.
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Machine Learning Engineer
1 week ago
Kurnool, India Torry Harris Integration Solutions Full timeJob Description:We are seeking a talented and motivated Machine Learning Engineer with a focus on Generative AI and MLOps to join our dynamic team. The ideal candidate will design, develop, and deploy machine learning models, leveraging generative AI techniques and operational best practices. You will collaborate closely with data scientists, software...
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Machine Learning Engineer
2 weeks ago
kurnool, India beBeeDataScientist Full timeData Scientist Role OverviewWe are seeking a highly skilled professional to develop and deploy machine learning models. The ideal candidate has a solid foundation in classification, anomaly detection, and time-series modeling.Design, train, and evaluate ML models for tasks such as classification, anomaly detection, forecasting, and natural language...
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Advanced Machine Learning Engineer Position
2 weeks ago
kurnool, India beBeeMachineLearning Full timeMachine Learning Engineer Role OverviewThis is a high-profile position within the industry where you will play a pivotal role in developing and deploying cutting-edge machine learning models.Key Responsibilities:Create, train, and deploy large-scale machine learning models for search relevance, retrieval, personalization, and conversational AI...
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Advanced Machine Learning Specialist
2 weeks ago
kurnool, India beBeeComputerVision Full timeMachine Learning EngineerWe are seeking a highly skilled individual to fill the role of Machine Learning Engineer. The ideal candidate will have expertise in designing and implementing machine learning, deep learning, and computer vision algorithms for liveness detection.Key Responsibilities:Design and implement machine learning, deep learning, and computer...
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Chief Machine Learning Specialist
1 week ago
kurnool, India beBeeMachine Full timeJob Description:The Machine Learning Engineer (Studio Applications) is a crucial role within our production workflows. The engineer will be responsible for deploying and maintaining machine learning models that support the platform's image and video generation, enhancement, and quality control.Key responsibilities include integrating third-party and...
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Machine Learning Engineer
1 week ago
Kurnool, India BayOne Solutions Full timeResponsibilities: Machine Learning Development & Implementation (40%) - Design and implement end-to-end ML pipelines for recommendation systems, search ranking, and classification problems - Build and optimize traditional ML models using techniques such as ensemble methods, SVMs, gradient boosting, and neural networks - Develop time series forecasting models...
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Machine Learning Pipeline Developer
1 week ago
kurnool, India beBeeModeler Full timeJob Overview:The MLOps Engineer will play a pivotal role in designing, deploying, and maintaining robust machine learning pipelines using AWS SageMaker and associated cloud services.Key Responsibilities:Design, deploy, and maintain machine learning models using AWS SageMaker (Pipelines, Endpoints, Model Registry)Develop automated continuous integration and...
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Data-Driven Machine Learning Specialist
3 days ago
kurnool, India beBeeMachineLearning Full timeAbout Our AI CompanyWe are an innovative healthcare technology firm that utilizes artificial intelligence to address referral disruptions and streamline patient journeys across the healthcare system.Our team is comprised of industry leaders who are committed to developing a high-performance product team to support upcoming deployments.Job Position...
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Machine Learning Specialist
1 week ago
kurnool, India beBeeMachineLearning Full timeJob Opportunity in Machine LearningWe are seeking a skilled Machine Learning professional to join our team.About the Role:The ideal candidate will have experience in Python programming, including proficiency in libraries such as NumPy and pandas. Additionally, they should be familiar with AIML frameworks like TensorFlow and PyTorch.We are looking for someone...
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Technical Leader
2 weeks ago
kurnool, India beBeeMachineLearning Full timeAt the forefront of AI innovation in fintech, you'll play a pivotal role in shaping our machine learning ecosystem. As a senior technical leader, you will spearhead the design and architecture of robust systems, enhance productivity through infrastructure and tools, tackle complex infrastructure and ML problems, drive model evaluation and optimization, apply...
