Annex India
Location
Mysore | India
Job description
Role : Large Language Models (LLM) Engineer/Developer- Job Open for Karnataka Candidates only- Senior Role- 6+ Years Experience requiredJob Description :- Hands-on experience in developing LLM-based applications for both front-end and back-end development.- Hands-on experience on design, and optimizing LLM, natural language processing (NLP)systems, frameworks, and tools.- Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML.- Expertise in most of the following areas : supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.- Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.- Comfortable working in the cloud and high-performance computing environments (e.g.,AWS/Azure/ GCP, Databricks, Apache Spark).- Well-versed in software development and code quality best industry practices.- Experience working with Agile Development methodologies.- Experience in the energy sector preferred.Responsibilities :- LLM Developer/Engineer, your primary responsibility is to design, develop, and optimize large language models, NLP systems, frameworks, and tools for both front-end and back-end development.- Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL(Deep Learning), ML (Machine Learning), object detection / classification , tracking , etc.- Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.- You will work with a team of researchers and engineers to build state-of-the-art language models that can understand and generate human-like text.- Work with business users to translate functional requirements into data specifications- Collaborate with data scientists and business users to transform domain know-how into functional requirements.- Data Analysis and Preprocessing: Collect and preprocess large-scale text corpora to train and fine-tune language models. Conduct data analysis to identify patterns, trends, and insights that can inform model development and improvement.- Language Model Development: Utilize off-the-shelf LLM services, such as Azure Open AI, to integrate LLM capabilities into applications, and collaborate with the research team to design and develop state-of-the-art language models.- Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.- Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning. (ref:hirist.tech)
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