AI Engineer - Mid Level
- Pragma Edge Software
- 4 - 6 years
- Hyderabad
- 1 month ago
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Job Description
AI Engineer - Mid Level
- Job Category - IT
- Job Type - Full Time
- No of openings: 01
- Experience - 4 to 6 Years
- Job Location - Hyderabad
- Preferred Candidate Location - Telangana, Andhra Pradesh
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Job Overview
As an AI Engineer, 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.
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.
Roles & Responsibilities
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.
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.
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.
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.
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.
Documentation and Communication:
- Maintain clear documentation for code, models, and processes.
- Communicate findings and updates to both technical and non-technical stakeholders.
Qualifications
- Bachelors 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.
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.
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.
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.
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.
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.
Documentation and Communication:
- Maintain clear documentation for code, models, and processes.
- Communicate findings and updates to both technical and non-technical stakeholders.
Qualifications
- Bachelors 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full timeContact Details:
Company: Pragma Edge SoftwareLocation(s): Hyderabad+ View Contact
Keyskills: Computer science deep learning Automation Usage Artificial Intelligence Machine learning Data processing Natural language processing Open source Python
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Pragma Edge is a Data and Cloud Company. Pragma Edge has specialization in Data Transfer / Transformation, Data Injections / Correlation / Analysis/ Extraction and Optimization, AI, RPA, Cloud capabilities. Pragma Edge has experience working with fortune 100 companies in Digital transformation. We...
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