Job Title      : AI Engineer
Experience  : 2-4 Years
Location      : Remote

Job Description :
Responsibilities:
 
1. Model Development:
 
 - Design and implement state-of-the-art AI models, particularly focusing on NLP tasks, using frameworks such as PyTorch, Tensorflow, Scikit-Learn.
 - Fine-tune and adapt pre-trained models to specific applications and domains.
 - At least 1 Year of Experience in working with Gen AI, LLM's, Prompt Engineering, Fine tuning LLM's.
 - Must have experience and contribution in developing custom models, Large language models, fine tuning LLM's and must have open source contributions.
 
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.