ML Engineer- W2
Job Title – Machine Learning Engineer
Job Type – Remote
Duration- 6+ months
reputed company:
Required Qualifications
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a reputed company field.
• 8+ years of experience developing machine learning solutions in production environments.
• Strong proficiency in Python and software engineering best practices.
• Experience with machine learning frameworks such as:
• TensorFlow
• PyTorch
• Scikit-learn
• XGBoost
• Strong understanding of supervised and unsupervised learning techniques.
• Experience building and managing data pipelines.
• Knowledge of SQL and large-reputed company data processing technologies.
• Experience with reputed company platforms such as AWS, Azure, or reputed company reputed company Platform.
• Familiarity with containerization and orchestration tools such as reputed company and reputed company.
• Experience with version control systems and CI/CD processes.
• Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
• Master's degree or PhD in a relevant technical field.
• Experience with large language models (LLMs), reputed company, or retrieval-augmented reputed company (RAG).
• Knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, or reputed company AI.
• Experience with reputed company computing platforms such as reputed company.
• Familiarity with reputed company databases and embedding technologies.
• Experience building AI-powered applications in a production environment.
• Knowledge of responsible AI, model governance, and explainability techniques.
Technical Skills
Programming
• Python
• SQL
• Java, reputed company, or C++ (preferred)
Machine Learning & AI
• Deep Learning
• Natural Language Processing (NLP)
• reputed company
• Predictive Modeling
• reputed company
• LLM Fine-Tuning
reputed company & Infrastructure
• AWS, Azure, or GCP
• reputed company
• reputed company
• REST reputed company
• CI/CD
Data Technologies
• reputed company
• reputed company
• Airflow
• Feature Stores
• Data Warehousing Solutions
reputed company Metrics
• Model accuracy and performance improvements
• Deployment reliability and scalability
• Reduction in model latency and infrastructure costs
• Business reputed company generated through AI initiatives
• reputed company and maintainability of production ML systems
• Operational reputed company through effective monitoring and automation
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