- Develop and optimize LLM models using stateoftheart techniques, focusing on RAG (Retrieval-Augmented Generation).
- Implement content extraction methods to enhance the accuracy and relevance of generated responses.
- Collaborate with crossfunctional teams to identify and address LLM development and deployment challenges.
- Stay updated with the latest advancements in natural language processing (NLP) and machine learning research.
- Provide technical guidance and mentorship to junior team members.
- Implement RPA solutions to automate repetitive tasks and improve operational efficiency
- Collaborate with data scientists and business analysts to understand data requirements and translate them into technical solutions.
- Monitor performance, troubleshoot issues, and optimize data workflows for scalability and reliability
- Stay uptodate with the latest trends and technologies in data engineering, RPA, and AI/ML
- Bachelor's or higher degree in Computer Science, Engineering, or a related field.
- Proven experience in developing and finetuning LLM models, preferably with a focus on RAG.
- Handson experience with RPA tools such as UiPath, Automation Anywhere, Blue Prism, Power Automate
- Strong proficiency in Python programming and familiarity with relevant libraries/frameworks such as TensorFlow, PyTorch, scikitlearn.
- Solid understanding of natural language processing (NLP) fundamentals and machine learning principles.
- Experience with content extraction techniques such as Named Entity Recognition (NER), text summarization, and information retrieval.
- Familiarity with the concept of local LLMs and their applications in specific domains or languages.
- Excellent problemsolving skills and the ability to work effectively in a collaborative team environment.
- Strong communication skills with the ability to explain complex technical concepts to nontechnical stakeholders.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Prior working knowledge in implementing RPA and AI/ ML Methods.
- Certification in RPA or AI/ML technologies.
- Contributions to opensource projects related to natural language processing or machine learning.
- Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka)
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Data Engineer - kolkata, India - Mejoba Consulting
Description
Job description :
We seek a talented Data Engineer with expertise in Robotic Process Automation (RPA) and Artificial Intelligence/Machine Learning (AI/ML) to join our dynamic team.
As a Data Engineer with RPA and AI/ML expertise, you will play a crucial role in designing, implementing, and maintaining data pipelines, workflows, and automation solutions.
You will be responsible for developing and fine-tuning LLM models with expertise in RAG (Retrieval-Augmented Generation), content extraction, and familiarity with the concept of local LLMs.
You will work closely with our Data Engineering team to innovate and optimize LLM models and collaborate closely with cross-functional teams to integrate RPA infrastructure, enabling clients to automate existing processes.
Role & responsibilities :
Required Skill Sets :
Preferred Qualifications :