Netscribes - Artificial Intelligence/Machine Learning Engineer - NLP/Computer Vision
4 weeks ago
Job Description :
As an AI/ML Engineer, you will be responsible for designing, developing, and deploying AI and ML models to address complex business challenges. You will collaborate with cross-functional teams, including Data Engineers and Data Scientists, to build scalable, production-grade AI/ML pipelines. Your work will ensure the deployed models are reliable, maintainable, and optimized for performance in real-world :
- Design, Develop, and Deploy AI/ML Models : Address complex business challenges through AI and ML solutions, ensuring production-grade deployments.
- Build Scalable AI/ML Pipelines : Work on data preprocessing, feature engineering, model training, validation, deployment, and ongoing monitoring of AI/ML models.
- Collaboration with Cross-functional Teams : Collaborate with Data Engineers, Data Scientists, and other stakeholders to implement end-to-end AI/ML solutions.
- Optimize AI/ML Models in Production : Ensure that deployed models are reliable, scalable, and continuously optimized for high performance in production environments.
- Develop APIs and Microservices : Build APIs or microservices to integrate AI/ML models into business solutions, making them usable across different platforms.
- Implement MLOps Practices : Optimize workflows using CI/CD pipelines, automated retraining of models, version control, and monitoring.
- Apply State-of-the-art AI/ML Techniques : Utilize deep learning, NLP, computer vision, and time-series analysis to develop innovative solutions.
- Ensure Ethical AI Practices : Adhere to data privacy, security, and ethical AI standards throughout the entire lifecycle of AI/ML models.
- Stay Up-to-date with Industry Trends : Continuously explore and implement the latest AI/ML techniques, tools, and best practices.
- Assist in Documentation and Best Practices : Help create and maintain standards, workflows, and documentation for data technology and AI/ML projects.
Requirements :
- Strong Expertise in AI/ML Frameworks : Proficiency with TensorFlow, PyTorch, or Scikit-learn for building and deploying models.
- Proficiency in Programming Languages : Strong command of Python or R, including libraries/tools for data science and machine learning.
- Experience with Cloud-based AI/ML Services : Hands-on experience with Microsoft Azure and Databricks.
- MLOps Experience : Expertise in implementing automated pipelines, model versioning, monitoring, and lifecycle management.
- Domain-Specific AI Expertise : Deep knowledge in NLP, computer vision, predictive analytics, or other specialized AI techniques.
- Excellent Problem-Solving Skills : Ability to identify and address technical challenges with innovative and efficient solutions.
- Effective Communication Skills : Strong ability to convey complex technical concepts to both technical and non-technical audiences.
- Attention to Detail : Ability to handle and execute highly specialized projects with a focus on quality.
Desired Skills and Qualifications :
- Familiarity with Distributed Computing : Knowledge of Apache Spark and scalable training techniques for large datasets.
- Experience with GenAI : Hands-on experience in developing enterprise-level Gen AI applications and models for business use cases.
- Knowledge of Data Privacy and Security Standards : Understanding of ethical AI principles and ensuring compliance with relevant privacy and security standards.
- Interpersonal Skills : Excellent collaboration and relationship-building skills with colleagues, stakeholders, and external partners.
(ref:hirist.tech)-
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