
AI/ML Visionary
5 days ago
Are you a seasoned expert in artificial intelligence and machine learning? Do you have a passion for building and deploying cutting-edge data-driven systems?
Job Summary- We are seeking a highly skilled Senior AI/ML Engineer to join our team.
- Design and develop innovative machine learning models to drive business growth and improve operational efficiency.
- Build and manage complex data pipelines to support training and inference workflows.
- Evaluate and optimize models for accuracy and performance, leveraging expertise in statistical analysis and computational techniques.
- Deploy models in production environments using containerized solutions, ensuring scalability and reliability.
- Collaborate with cross-functional teams to integrate AI/ML capabilities into existing systems and processes.
- Stay up-to-date with emerging AI trends and technologies, applying knowledge to deliver innovative solutions that meet business objectives.
- 4+ years of hands-on experience delivering ML solutions in production environments.
- Proven track record across multiple AI subdomains, including NLP, computer vision, and signal/audio processing.
- Strong programming skills in Python, with deep understanding of ML fundamentals and ability to apply theoretical concepts to practical problems.
- Experience in supervised and unsupervised learning, regression, classification, clustering, and feature engineering.
- Practical expertise in open-source model handling, fine-tuning, optimization, and deployment.
- Solid knowledge of data preprocessing, model evaluation, and API design.
- Experience with cloud platforms (AWS/GCP/Azure), containers, and CI/CD workflows.
- Familiarity with version control (Git) and agile project management methodologies.
- Self-driven and technically curious, with excellent communication skills and ability to work effectively in fast-paced environments.
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
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