
Intelligent Machine Learning Specialist
2 days ago
Immediate hiring for a leading tech company.
Role: AI/ML Engineer
Job Overview:This position involves designing, building, and deploying machine learning models. Our focus is on practical implementation of AI solutions in the real world.
Required Skills and Qualifications:- Technical Competencies:
- Proficiency in programming languages, particularly Python, with a strong understanding of its ecosystem for data science and machine learning (e.g., NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn).
- AI/ML Frameworks and Libraries:
- Deep understanding and hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch)
- Solid understanding and practical experience with classical machine learning algorithms and Predictive Analytics.
- Generative AI:
- Hands-on experience with developing and deploying generative AI models using services like AWS Bedrock (e.g., for text generation, image generation, embeddings, Function Calling, AI Agents, MCP Server, LLMs like OpenAI).
- Understanding of prompt engineering techniques for large language models.
- Software Development Practices:
- Proficiency in writing clean, well-documented, and testable code.
- Experience with version control systems (e.g., Git).
- Education and Professional Experience:
- Bachelor's degree in a related field like Computer Science, Engineering, or Data Science.
- Candidates should have a total of 5-7 years of experience.
- Worked on 3 to 5 AI/ML projects and should be involved in design, development & deploying learning models and systems.
- Designed and implemented a scalable machine learning pipeline for systems that deal with huge volumes of data.
Job Responsibilities:Model Development:
- Design and develop machine learning systems and models.
- Research and implement appropriate machine learning algorithms and tools.
- Select and prepare datasets for training and testing.
- Train and retrain models as needed.
- Analyse and preprocess data for model training.
- Build and maintain data pipelines for efficient data flow.
- Identify and address data quality issues.
- Deploy models to production environments.
- Monitor model performance and identify areas for improvement.
- Manage and maintain deployed models.
- Evaluate potential risks of AI/ML use cases and implement appropriate safeguards.
- Work with data scientists, software engineers, and other stakeholders.
- Communicate technical findings and recommendations clearly.
- Understand business needs and translate them into technical solutions.
- Build and maintain the infrastructure required for machine learning model deployment.
- Stay up-to-date with the latest machine learning tools and technologies.
- Identify and solve technical challenges related to machine learning model development and deployment.
- Analyse model errors and design strategies to overcome them.
- Ensure that AI/ML systems are developed and deployed responsibly and ethically.
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