Machine Learning Engineer Devi Technologies

✔️ Build large-scale machine learning solutions for classification, regression, clustering, and recommendation tasks.✔️ Develop automated training pipelines, feature stores, and data transformations.✔️ Implement ML systems capable of handling high-volume real-time data.✔️ Create reusable libraries and frameworks for ML model development.✔️ Perform model training, validation, and performance tuning using cloud GPU/TPU resources.✔️ Collaborate with Data Scientists to transform prototypes into production systems.✔️ Deploy ML models through REST APIs, streaming services, or serverless functions.✔️ Implement monitoring tools to track model health, latency, and production failures.✔️ Build robust data validation, testing, and quality control checks.✔️ Maintain and optimize ML infrastructure for scalability and cost efficiency.✔️ Use version control and experiment tracking tools like MLflow or Weights & Biases.✔️ Incorporate responsible AI frameworks for fairness, transparency, and explainability.✔️ Collaborate with business teams to integrate ML predictions into workflows.✔️ Optimize models for edge devices, mobile platforms, or low-latency environments.✔️ Troubleshoot production ML issues and perform root-cause analysis.✔️ Benchmark model performance using industry-standard datasets and metrics.✔️ Explore and implement deep learning, transformers, and generative AI solutions.✔️ Document ML architectures, workflows, and project implementation details.✔️ Participate in code reviews and mentoring of junior engineers.✔️ Drive innovation by proposing new ML methodologies and tools.#J-18808-Ljbffr