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Machine Learning Engineer Job Description
Company: Codvo
Job Title: Machine Learning Engineer
Experience: 5+ years
About the Role
We are looking for a hands-on Machine Learning Engineer to join our analytics team and collaborate closely with Data Science. The ideal candidate will have strong Python development skills, apply best practices in design and coding, and ensure performance and scalability in production environments.
Key Responsibilities
• Work closely with the Data Science team to develop and implement ML algorithms into production code.
• Apply design and coding best practices, including vectorization and object-oriented programming in Python.
• Ensure algorithms cover different scenarios with a focus on performance and scalability.
• Rapid ramp-up to work on deliverables within Scrum teams.
• Collaborate with cross-functional teams to integrate ML solutions into production systems.
• Utilize CI/CD, version control (Git), and automated testing in ML projects.
Required Skills & Qualifications
• Hands-on development expertise for analytics teams working with Data Science.
• Experience with Python and libraries such as NumPy, Pandas, etc.
• Strong understanding of object-oriented programming and its application in Python.
• Ability to develop algorithms into production code with emphasis on performance and scalability.
• Experience in applying design and coding best practices, including vectorization.
• 4-7 years of experience in software and/or Python development.
Job ID: 149171313
Skills:
Video Codecs, Cuda, Git, Computer Vision, Pytorch, Python, Weights Biases, PEFT, model evaluation frameworks, video processing pipelines, attention mechanisms, GPU-based training, deep learning frameworks, MLflow, CNNs, streaming technologies, inference optimization, LoRA, continuous experimentation infrastructure, Transformers, MLOps tools
Skills:
anylogic , snowflake , Tensorflow, Numpy, Pytorch, Docker, Microsoft Azure, Simio, Python, Power Bi, Sql, Pandas, Azure Data Factory, Azure Machine Learning, scikit-learn, MLflow, OR-Tools, Pulp, Gurobi, Detectron2, SimPy, Generative AI, LLMs, CPLEX, Mask R-CNN, YOLO, Azure AI Computer Vision
Skills:
C, shell scripting, Python, AI model inference, accuracy-performance tradeoffs, debugging performance issues, AI deployment stacks, quantization
Skills:
Video Codecs, Cuda, Git, Computer Vision, Pytorch, Python, Weights Biases, PEFT, model evaluation frameworks, video processing pipelines, attention mechanisms, GPU-based training, MLflow, CNNs, streaming technologies, inference optimization, LoRA, continuous experimentation infrastructure, Transformers, MLOps tools, deep learning fundamentals
Skills:
Java, Python, Hana, Postgres, Kafka, GRPC, AI ML frameworks, Go
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