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Model Development:
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Design, build, train, and optimize machine learning and deep learning models.
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Research and prototype new algorithms and approaches.
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Data Engineering Support:
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Work with large structured and unstructured datasets; perform data cleaning,transformation, and feature engineering.
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Productionization
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Deploy models to production environments, ensuring scalability, performance, andmaintainability.
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Build APIs, pipelines, and automation to integrate models into products andworkflows.
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Collaboration
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Collaborate cross-functionally with product managers, data scientists, and softwareengineers.
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Translate business needs into technical solutions with clear impact.
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Monitoring and Maintenance:
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Monitor model performance post-deployment and implement retraining strategiesas needed.
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Innovation:
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Stay current with the latest research in AI/ML and suggest improvements to existingsolutions.
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Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering,Mathematics, or a related field.
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Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch,scikit-learn, etc.).
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Proficiency with data handling tools like SQL, Pandas, Spark, etc.
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Experience with cloud platforms (AWS, Azure, or GCP) and deploying models at scale.
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Knowledge of MLOps practices (CI/CD for ML, model versioning, monitoring tools).
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Familiarity with REST APIs, microservices, and containerization (Docker, Kubernetes).
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Strong problem-solving skills and ability to work independently.
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Experience with Generative AI models (e.g., LLMs, diffusion models).
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Knowledge of NLP, Computer Vision, or Time-Series Analysis.
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Exposure to ML frameworks like MLflow, Kubeflow, or SageMaker.
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Understanding of AI governance, fairness, and ethical AI practices.
Avaali offers a high degree of autonomy and control to employees to execute your responsibilities.We offer each employee significant opportunities for advancement and growth as we engage senioraudiences in customer organizations to transform their business via emerging technologies. We offergreat job stability – several of our employees have been with us for over 5+ years.
