Senior Machine Learning Engineer

2 weeks ago

TrivandrumThiruvananthapuram, India Ellow Full time
Job Title: Senior Machine Learning Engineer

We are seeking a highly experienced Senior Machine Learning Engineer to join our team at Ellow. As a core member of our team, you will design and implement scalable machine learning solutions in the Health Care Sector while working closely with stakeholders to deliver impactful AI-driven strategies.

Key Responsibilities:
  • Collaborate with stakeholders to gather requirements and design machine learning solutions tailored to business needs.
  • Architect and implement end-to-end AI/ML solutions leveraging GCP services like Vertex AI, AutoML, Dataflow, Pub/Sub, and BigQuery.
  • Design and develop scalable data pipelines and orchestration frameworks using Apache Airflow and other big data technologies (e.g., Hadoop, Spark).
  • Handle streaming data processing using Kafka and optimize real-time data models for AI systems.
  • Implement feature engineering, model training, evaluation, and deployment with state-of-the-art ML frameworks such as TensorFlow and scikit-learn.
  • Apply deep learning architectures such as CNNs, RNNs, and Transformers, with a particular focus on Natural Language Processing (NLP).
  • Ensure robust version control and continuous integration/continuous deployment (CI/CD) for data projects, following MLOps best practices.
  • Optimize data modeling, schema design, and warehousing strategies to manage large-scale datasets.
  • Work on data extraction, transformation, and loading (ETL) processes, ensuring data accuracy and availability for ML models.
Key Skills and Expertise:
  • ML Frameworks: Proficiency in TensorFlow and scikit-learn for developing machine learning models.
  • GCP ML Services: Expertise in Vertex AI, AutoML, Dataflow, BigQuery, Pub/Sub, Kubernetes, Kafka, and Dataproc.
  • Big Data Technologies: Hands-on experience with Hadoop and Spark for processing and managing large datasets.
  • Feature Engineering and Selection: Skilled in creating optimized features to improve model performance.
  • Deep Learning: Strong understanding of deep learning architectures, including CNNs, RNNs, and Transformers.
  • NLP Expertise: Experience in applying Natural Language Processing techniques.
  • Data Pipeline Design: Knowledge of data pipeline orchestration tools like Apache Airflow and streaming data frameworks.

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