Evnek - Artificial Intelligence/Machine Learning Engineer - LLM Models

<p><p><b>Description :</b><br/><br/>Job Title : AI/ML Engineer<br/><br/>Experience : 4+ Years<br/><br/>Location : Bengaluru, Karnataka<br/><br/>Notice Period : Immediate Joiner or Max 15days preferred<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design, develop, and implement Generative AI solutions leveraging LLMs, RAG, LangChain, and related frameworks.<br/><br/></p><p>- Build, fine-tune, and optimize models using TensorFlow, PyTorch, and Keras for various business use cases.<br/><br/></p><p>- Develop and maintain end-to-end AI/ML pipelines including data ingestion, preprocessing, model training, deployment, and monitoring.<br/><br/></p><p>- Implement Prompt Engineering techniques to improve LLM-based solutions.<br/><br/></p><p>- Work with Vector Databases for retrieval and contextual memory integration.<br/><br/></p><p>- Collaborate with cross-functional teams to integrate AI models into production environments via APIs (FastAPI/Python).<br/><br/></p><p>- Leverage cloud platforms (AWS, GCP, Azure) for scalable AI solution deployment and MLOps implementation.<br/><br/></p><p>- Utilize big data technologies such as Hadoop, Spark, or Apache Flink to build efficient data pipelines.<br/><br/></p><p>- Apply Deep Learning and Machine Learning techniques to solve complex business challenges.<br/><br/></p><p>- Contribute to MLOps practices including containerization (Docker/Kubernetes) and continuous model lifecycle management.<br/><br/></p><p>- Participate in model evaluation, optimization, and performance tuning.<br/><br/><b>Required Expertise :</b><br/><br/></p><p>- Strong proficiency in Python (and optionally R).<br/><br/></p><p>- Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, Keras.<br/><br/></p><p>- Solid understanding of Machine Learning algorithms and Deep Learning architectures.<br/><br/></p><p>- Experience in data analysis, data visualization, and statistical modeling.<br/><br/></p><p>- Familiarity with applied statistics, algorithm development, and model evaluation techniques.<br/><br/></p><p>- Awareness of containerization and deployment automation using Docker/Kubernetes.</p><br/></p> (ref:hirist.tech)