BriefCase
BriefCase

Genai And Open-source Llm Developer Job in Ltimindtree

Genai And Open-source Llm Developer

Ltimindtree 4+ weeks ago
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Job Summary Job Summary: We are seeking a talented and experienced Generative AI Engineer to design, develop, and deploy advanced AI models, with a focus on generative AI and open-source large language models (LLMs). The ideal candidate will have expertise in natural language processing (NLP), model fine-tuning, and building scalable, production-ready AI solutions. This role involves active collaboration with the open-source community, research and innovation in AI technologies, and driving technical excellence in model deployment and optimization. Key Responsibilities: 1. Model Development: Design, develop, and implement cutting-edge generative AI models and open-source LLMs to address specific business challenges. 2. NLP Expertise: Apply advanced NLP techniques for tasks like text generation, summarization, translation, and sentiment analysis to enhance model performance. 3. Open-Source Contribution: Actively participate in and contribute to the open-source community to innovate and improve existing LLMs. 4. Data Processing: Utilize frameworks and libraries like Apache Spark, PyTorch, Pandas, NumPy, Scikit-learn, and TensorFlow for data preparation and processing in machine learning workflows. 5. LLM Frameworks: Leverage frameworks such as LangChain and AutoGen to build scalable and efficient LLM-based solutions. 6. Model Fine-Tuning: Fine-tune pre-trained models for specific use cases, optimizing their performance for unique datasets and delivering high-quality results. 7. Production-Ready Applications: Use frameworks like FastAPI and Django to design, develop, and deploy machine learning models into production environments. 8. MLOps Integration: Develop and maintain robust MLOps pipelines for deployment, monitoring, and management of AI models in production. 9. Data Engineering Collaboration: Work closely with data engineers to ensure access to high-quality datasets for training and validation. 10. Research & Innovation: Conduct research on the latest advancements in generative AI, NLP, and open-source LLMs, integrating new techniques into workflows. 11. Performance Optimization: Optimize and fine-tune AI models for scalability, reliability, and production performance standards. 12. Technical Leadership: Mentor junior developers, provide technical guidance, and conduct code reviews to ensure adherence to best practices in software development. Required Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 4-5 years of hands-on experience in natural language processing and machine learning. Proficiency in programming languages such as Python, R, or Java. Strong expertise with NLP frameworks and libraries like Hugging Face Transformers, spaCy, NLTK, and OpenAI GPT. In-depth knowledge of algorithms, data structures, and software design principles. Proven experience deploying NLP models in production environments. Familiarity with MLOps tools and practices, including CI/CD pipelines, Docker, Kubernetes, and model monitoring. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred Qualifications: Experience with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of big data technologies like Hadoop, Spark, or Kafka. Familiarity with DevOps practices and tools. This role offers the opportunity to work at the forefront of AI innovation, contributing to impactful solutions that shape the future of generative AI and NLP.
Qualification :
Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Experience Required :

4 to 6 Years

Vacancy :

2 - 4 Hires

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