Q
GenAI Developer
Navi Mumbai, Maharashtra, India · À temps plein
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- Expérience
- N'importe lequel
- Salaire
- —
- Ouvertures
- 1
- Publié
- il y a 2 heures
- Mode de travail
- Au bureau
- Éducation
- B.Tech / B.E.
- Admissibilité
- Applicants should possess a B.Tech or B.E. degree in any specialization.
- CV
- Candidature requise
Votre lieu de travail
Description de l'emploi
Job Overview
Qloron Technology, a custom software development company with offices in Nagpur, Hyderabad, Bangalore, and Pune, is seeking an experienced AI Engineer specializing in High-Performance Computing (HPC), Apache Spark, Databricks, and Generative AI. The candidate will be responsible for designing and implementing scalable AI and machine learning solutions, optimizing large-scale data workflows, and creating advanced Generative AI applications using Large Language Models (LLMs).
Key Responsibilities
- Design and implement AI and ML solutions tailored for enterprise-scale applications.
- Develop and enhance distributed data processing frameworks leveraging Apache Spark and Databricks technologies.
- Create and deploy Generative AI applications utilizing LLMs such as GPT, Llama, Claude, and Mistral.
- Apply Retrieval-Augmented Generation (RAG) techniques and manage vector databases to improve AI outputs.
- Leverage HPC environments to speed up AI model training and inference tasks.
- Fine-tune foundational AI models to maximize performance in production settings.
- Build scalable data engineering solutions and MLOps pipelines for seamless AI deployment.
- Work closely with data scientists, engineers, and business stakeholders to deliver AI-powered business solutions.
- Continuously monitor and troubleshoot AI systems to ensure optimal performance post-deployment.
Essential Skills and Expertise
- Proficiency in Generative AI and Large Language Models (LLMs), including prompt engineering.
- Experience with RAG frameworks and tools like LangChain and LlamaIndex.
- Strong background in distributed computing environments using Apache Spark (PySpark) and Databricks, including Delta Lake.
- Expertise in data modeling, ETL/ELT pipeline design, SQL and NoSQL databases.
- Advanced programming skills in Python, SQL, and REST API development.
- Knowledge of HPC technologies, including cluster computing, parallel processing, and GPU computing (preferably NVIDIA CUDA).
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Experience with MLOps tools including MLflow, Docker, Kubernetes, continuous integration/delivery (CI/CD) pipelines, and version control with Git.
Eligibility
Candidates must hold a B.Tech or B.E. degree in any specialization to apply.