Job Description
Job Title : AI / ML Engineer
Experience : 4+ Years
Location : Bengaluru, Karnataka
Notice Period : Immediate Joiner or Max 15days preferred
About the Role
We are looking for a passionate and experienced AI / ML Engineer to join our team and contribute to the design, development, and deployment of next-generation AI-driven applications. The ideal candidate will have deep expertise in Generative AI , Large Language Models (LLMs) , and Retrieval-Augmented Generation (RAG) frameworks, with hands-on experience in building scalable AI / ML solutions using modern technologies.
Key Responsibilities
- Design, develop, and implement Generative AI solutions leveraging LLMs, RAG, LangChain, and related frameworks.
- Build, fine-tune, and optimize models using TensorFlow , PyTorch , and Keras for various business use cases.
- Develop and maintain end-to-end AI / ML pipelines including data ingestion, preprocessing, model training, deployment, and monitoring.
- Implement Prompt Engineering techniques to improve LLM-based solutions.
- Work with Vector Databases for retrieval and contextual memory integration.
- Collaborate with cross-functional teams to integrate AI models into production environments via APIs (FastAPI / Python) .
- Leverage cloud platforms (AWS, GCP, Azure) for scalable AI solution deployment and MLOps implementation.
- Utilize big data technologies such as Hadoop , Spark , or Apache Flink to build efficient data pipelines.
- Apply Deep Learning and Machine Learning techniques to solve complex business challenges.
- Contribute to MLOps practices including containerization (Docker / Kubernetes) and continuous model lifecycle management.
- Participate in model evaluation, optimization, and performance tuning.
Mandatory Skills
Generative AI (Gen AI), LLMs, RAG, LangChain, LlamaAI / ML, Deep Learning, PythonTensorFlow, PyTorch, PandasPrompt Engineering, Vector DatabasesMLOpsPreferred Skills
Cloud Platforms : AWS, GCP, or AzureGPT-4 or similar LLMsSQL, FastAPI / API DevelopmentDocker, KubernetesHadoop, Spark, or Apache Flink (Data Pipeline)Banking or Financial Domain ExposureEducational Qualifications
Bachelor’s or Master’s degree in Computer Science , Artificial Intelligence , Data Science , or a related field.Required Expertise
Strong proficiency in Python (and optionally R ).Hands-on experience with AI / ML frameworks : TensorFlow , PyTorch , Keras .Solid understanding of Machine Learning algorithms and Deep Learning architectures .Experience in data analysis , data visualization , and statistical modeling .Familiarity with applied statistics , algorithm development , and model evaluation techniques.Awareness of containerization and deployment automation using Docker / Kubernetes .Soft Skills
Strong analytical and problem-solving skills with the ability to think critically and creatively.Excellent verbal and written communication skills with the ability to explain complex technical concepts clearly.Collaborative mindset with the ability to work effectively in cross-functional teams.Requirements
Gen AI