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• Design, develop, and deploy machine learning and deep learning systems for scalable applications.
• Implement appropriate ML algorithms based on business and technical requirements.
• Conduct machine learning experiments, model training, validation, and performance tuning.
• Work extensively with Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, OpenCV, and NumPy.
• Build self-learning systems that continuously improve using data-driven approaches.
• Apply statistical and data science principles to solve complex business problems.
• Collaborate with data engineers and software teams to integrate ML models into production systems.
• Stay updated with latest advancements in AI, ML, and deep learning technologies.
• Optimize models for accuracy, scalability, and performance in production environments.
• Analyze large datasets to extract meaningful insights and patterns.
Logicplanet IT Services (India) Pvt. Ltd., incorporated in 2007 and headquartered in Hyderabad, operates as a software publishing, consulting, and IT solutions provider. The company delivers enterprise technology services including software development, digital transformation, and IT staffing solutions. With expertise in areas such as embedded systems, QA automation, ERP, and cloud technologies, Logicplanet supports global clients by combining technical innovation with workforce solutions, positioning itself as both a technology partner and a recruitment facilitator.
Job ID: 147444005
Skills:
snowflake , Github, Sql, Pytorch, Docker, Testing, Python, Config-driven scalable architecture, Dataiku DSS, LightGBM, Optimization methodologies, MLflow, CI CD, Machine Learning applications and pipelines, Snowpark
Skills:
ELT, Tensorflow, Git, Gcp, Pytorch, Docker, Azure, Kubernetes, Python, Etl, AWS, Scikit-learn, MLflow, Kubeflow
Skills:
data engineering , Machine Learning, Data Science, programming, agentic workflows, Data Analysis, LLMs, ML modeling, Statistical Modeling
Skills:
Machine Learning, Azure ML, Data Science, MLops, Azure Functions, Docker, Terraform, Nestjs, Kubernetes, Python, LangChain, Applied AI, Azure OpenAI, CI CD, LLM Integration, Recommendation Systems, RAG Retrieval-Augmented Generation, API-based Integrations, Scalable ML Pipelines, OpenAI
Skills:
triton , Jax, Tensorflow, Pytorch, Docker, FastAPI, Python, Kubernetes, ASR, audio ML, Signal Processing, vLLM, Speech Recognition, ONNX Runtime, telephony audio pipelines, TorchServe
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