Job Description
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.
Your Role and Responsibilities
- Data Preprocessing: Clean preprocess and curate large datasets to ensure high-quality data for training and validation of AI models.
- Model Training and Evaluation: Train and fine-tune AI models using appropriate techniques and frameworks. Evaluate model performance using relevant metrics and iterate on models to improve their accuracy and efficiency.
- Algorithm Development: Design implement and optimize machine learning algorithms and models that solve specific business problems such as natural language processing computer vision recommendation systems predictive analytics etc.
- Technology Evaluation: Stay updated with emerging AI technologies tools and frameworks and evaluate their suitability for solving specific business challenges.
- Collaboration: Work closely with cross-functional teams including data engineers software developers product managers and domain experts to align AI solutions with overall product development.
Required Technical and Professional Expertise
- Must have 7-8 years of experience in developing enterprise applications in AI and DataScience Domain.
- Must have minimum 2 years of experience in developing solutions using GenAI and related Frameworks.
- Very Strong in using Python and related technologies with 3+ years a focus on AIOps DataOps MLOps.
- Deep understanding of AI Models architecture and working principle.
- Deep understanding of the Machine Learning Algorithms
- Knowledge on Trending LLM’s and related Multi Modal Architecture
- Knowledge on Fine Tuning LLM’s to a specific use case and model serving.
- Hands on Experience on Prompt Engineering and its concepts.
- Hands on experience in EDA Data Preprocessing Post Processing Synthetic data generation concepts.
Preferred Technical and Professional Expertise
- Experience designing building and maintaining AI solutions in Cloud Standalone systems.
- Experience in Data Annotation and other data processing techniques.
- Experience in developing deploying in Cloud base Platforms.
Date Posted
07/19/2024
Views
1
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