Cutting-Edge Machine Learning Expert Wanted

6 days ago


bangalore, India beBeeMachineLearning Full time

Senior AI/ML EngineerAbout the Role:We are seeking a skilled Senior AI/ML Engineer to join our client's AI team and contribute to the development of cutting-edge intelligent systems.In this role, you'll be responsible for designing, training, and deploying machine learning models that power innovative features across devices and services. This is an exciting opportunity to work with a global technology leader in the telecommunications sector, applying your expertise to real-world applications that impact millions of users.Contract: 12 months (with potential extension based on performance)Responsibilities:Develop and fine-tune machine learning algorithms.Conduct experiments, evaluate model performance, and suggest improvements.Lead and collaborate with engineers to implement production-ready AI solutions.Document processes and results for scalabilityRequirements:Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.5-7 years of experience in developing and deploying machine learning models.At least 3 years of experience leading a team.Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, and scikit-learn.Strong understanding of data preprocessing, model evaluation, and hyperparameter tuning.Experience with SQL, Pandas, NumPy, and working with structured and unstructured data.Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow) is a plus.Experience with cloud platforms (AWS, Azure, or GCP) preferred.Skills and Qualifications:Programming & ML Frameworks:PythonTensorFlowPyTorchscikit-learnXGBoost / LightGBMData & Analytics:NumPy, PandasSQLJupyter NotebooksCloud / Infrastructure:AWS (S3, SageMaker, Lambda, ECS)Azure (ML Studio, Blob Storage)GCP (AI Platform, BigQuery)Development & Experimentation Tools:TensorBoardWeights & Biases (W&B) or Neptune.aiONNXBenefits:12-month contract with potential extensionOther Requirements:Experience with edge AI model optimization



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