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    Job · 10754973

    FULLTIME

    AI/ML Engineer

    Technource logo

    Technource

    Not specified · onsite · Posted 71d ago

    Sourced fromLinkedIn
    Undisclosed1–2 yrsfulltimeNot specified

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Position AI/ML Engineer Industry Type IT Services

    Experience 1+ Years Salary As per industry standard Job Location Ahmedabad

    Job Description Technource is hiring a

    skilled AI/ML Engineer to build and deploy advanced

    machine learning and

    deep learning solutions across real-world systems. The ideal candidate will have hands-on experience with the

    full model lifecycle , be capable of working on

    face and object recognition , and integrate models into

    high-performance, real-time applications . Describe Skill and Experience

    • Design, develop, and deploy ML/DL models for classification, regression, clustering, recommendation, and real-time applications.
    • Manage end-to-end model lifecycle: data preparation, preprocessing, augmentation, training, validation, deployment, and monitoring.
    • Build and optimize RAG-based architectures by integrating LLMs (e.g., GPT, LLaMA) with vector databases and external data sources.
    • Develop and deploy accurate face recognition systems (e.g., FaceNet, ArcFace) and object detection with liveness detection.
    • Prepare custom datasets, apply data augmentation, and validate models for robustness and accuracy.
    • Deploy models using REST APIs, Docker, Kubernetes, and MLOps tools for scalable, production-grade solutions.
    • Ensure real-time performance of AI models in production systems, including edge deployment when required.
    • Strong skills in Python, OpenCV, NumPy, and either PyTorch or TensorFlow.
    • Excellent debugging, optimization, and problem-solving skills on real-world datasets.
    • Familiarity with model optimization techniques and performance scaling is a plus.

    Sourced from linkedin

    Section · 02

    Skills

    DockerKubernetesRetrieval Augmented GenerationLlamaMLOpsOpencvvector databasesFace RecognitionObject RecognitionPytorchTensorflowPythonNumpyREST APIDeep LearninggptMachine LearningLarge Language Models (LLMs)Data AugmentationFaceNetArcFaceLiveness DetectionObject DetectionRecommendation Systemsregression algorithmsClassification AlgorithmsClustering TechniquesML/DL ModelsModel OptimizationProblem SolvingModel DeploymentModel Monitoringdata preparationregressionclusteringoptimizationclassificationModel Validationdata preprocessingModel TrainingReal-time ApplicationsdebuggingModel lifecycle managementEdge DeploymentArtificial IntelligenceClustering Algorithms

    AI/ML Engineer · waiting for your command