Senior Machine Learning Engineer
2 months ago
Job Description :
We are looking for Machine Learning Engineers.
Role : Machine Learning Engineer.
Location : Trivandrum (WFO).
Years of Experience : 7+ years.
Notice Period : Immediate to 15days.
Mandatory Skills : Machine learning, GCP.
Job Description :
We are seeking a highly experienced Senior Machine Learning Engineer with more than 7 years of experience in AI/ML and strong expertise in Google Cloud Platform (GCP) services.
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.
The ideal candidate will possess deep knowledge of machine learning frameworks, GCP services, and MLOps practices, ensuring seamless deployment and management of models in production environments.
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 ProcessingTechniques.
- Data Pipeline Design: Knowledge of data pipeline orchestration tools like Apache Airflow and streaming data frameworks.
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