Job
Description
As an AI/ML Engineer at our client's company in Bengaluru, you will be responsible for designing, building, and deploying cutting-edge machine learning models and AI-driven applications that have a direct impact on business outcomes. You will collaborate with cross-functional teams, experiment with the latest advancements in AI, and bring innovative ideas to life through scalable solutions. **Key Responsibilities:** - **Model Development:** Design and implement machine learning models and algorithms for real-world applications. - **Prototyping:** Build Proof-of-Concept (POC) applications to validate new ideas and demonstrate business value. - **Data Engineering:** Preprocess, clean, and transform datasets using tools such as Pandas and NumPy to ensure high-quality inputs for models. - **Model Deployment:** Deploy, monitor, and scale ML models on Google Cloud Platform (GCP), leveraging Vertex AI for lifecycle management. - **AI Integration:** Experiment with and integrate advanced AI capabilities, including Google Gemini, for specialized use cases. - **Collaboration:** Work closely with data engineers, product teams, and senior ML scientists to translate requirements into robust technical solutions. - **Code Quality:** Write clean, maintainable, and well-documented code in Python. - **Continuous Learning:** Stay up to date with the latest trends, tools, and research in AI/ML and bring fresh ideas into the team. **Qualifications & Skills:** - **Education:** Bachelors degree in Computer Science, Artificial Intelligence, Data Science, or a related field (Masters degree is a plus). - **Experience:** 3+ years of hands-on experience in developing and deploying ML/AI solutions. - **Programming:** Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, or Scikit-learn. - **ML Expertise:** Solid understanding of core ML techniques (classification, regression, clustering, deep learning, NLP, etc.). - **Cloud Skills:** Prior experience working with Google Cloud Platform (GCP); familiarity with Vertex AI preferred. - **Problem-Solving:** Strong analytical and debugging skills with a structured, data-driven approach. - **Collaboration:** Excellent communication and teamwork skills to thrive in cross-functional environments. In addition, exposure to large-scale data pipelines and distributed training, familiarity with MLOps practices for CI/CD of ML models, prior experience integrating advanced AI/LLMs into production systems, and contributions to open-source ML projects or published research would be considered nice-to-have for this role.,
