Overview
Skills
Job Details
About PragmaEdge
We are IBM Gold Business Partners in North America and the Lead Company in US on b2bi space and One of fastest growing companies in the United States and is ranked 20th among I.T. Services companies. We do Consult Develop, Deliver and Support IT solutions that drive business innovation and business agility. We constantly innovate our solution, services, process, and tools to achieving this growth by helping our customers achieve their goals delivering innovation, collaboration and agility with solutions and services that improve their bottom line and business operations,We integrator delivers most advanced B2BI - MFT Solutions utilizing IBM Sterling B2B Integrator, ITXA, Sterling File Gateway SFG, Sterling Secure Proxy SSP, IBM Control Center & IBM Managed Services.
Job Description:
Overview:
As an AI Lead, you will be at the forefront of developing intelligent systems with a specialization in natural language processing (NLP). Your role involves designing, implementing, and optimizing AI models to process and Data.
Responsibilities:
1. Model Development:
- Design and implement state-of-the-art AI models, particularly focusing on NLP tasks, using frameworks such as PyTorch.
- Fine-tune and adapt pre-trained models to specific applications and domains.
2. Data Processing and Analysis:
- Preprocess and analyze large datasets to ensure high-quality input for training AI models.
- Collaborate with data engineers to build efficient pipelines for handling linguistic data.
3. Algorithmic Development:
- Develop algorithms for various NLP tasks, including text classification, sentiment analysis, named entity recognition, and language generation.
- Experiment with different machine learning techniques to enhance model performance.
4. Evaluation and Optimization:
- Implement robust evaluation metrics to assess the effectiveness of AI models.
- Optimize models for speed, memory usage, and scalability, ensuring efficient deployment in real-world applications.
5. Collaboration:
- Collaborate with cross-functional teams, including software engineers, data scientists, and domain experts.
- Work closely with researchers to integrate cutting-edge AI advancements into practical solutions.
6. Documentation and Communication:
- Maintain clear documentation for code, models, and processes.
- Communicate findings and updates to both technical and non-technical stakeholders.
Qualifications:
- Bachelor's in Computer Science, Artificial Intelligence, or a related field.
- Proficient programming skills in languages like Python
- Strong expertise in deep learning frameworks
- WatsonX Experience is a plus
- Solid understanding of machine learning principles, especially in the context of language models.
- Experience with large-scale data processing and distributed computing.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
As an AI Engineer specializing in NLP, your work will contribute to the development of advanced applications, including conversational AI, chatbots, Task Automation and language understanding systems. This role requires a blend of technical skills, creativity, and a commitment to staying abreast of the latest advancements in AI and NLP.