2.0 years

12 - 18 Lacs

bengaluru

Work from Office

We are seeking a highly skilled AI/ML Engineer with expertise in Python/Java to design, develop, and deploy scalable AI and machine learning solutions. The ideal candidate will have strong problem-solving skills, hands-on experience with ML frameworks, and the ability to work closely with cross-functional teams to translate business problems into data-driven solutions. Location : Bangalore Experience Required: 2-8 years Key Responsibilities •Design, build, and deploy machine learning models and AI-driven solutions for complex business problems. •Collaborate with data scientists, product managers, and software engineers to integrate ML solutions into production systems. •Perform data preprocessing, feature engineering, and model optimization to improve accuracy and efficiency. •Develop and maintain scalable APIs and microservices for ML model serving using Python or Java . •Implement Lanserve for serving ML/AI models and manage monitoring/tracing using Langfuse . •Containerize and orchestrate ML applications using Docker and Kubernetes for scalable deployments. •Research, evaluate, and implement cutting-edge ML algorithms and deep learning techniques . •Work with cloud platforms (AWS/Azure/GCP) for ML pipelines and deployment. •Maintain clear documentation, reusable code, and best practices in ML engineering. Required Skills & Qualifications • 2-8 years of hands-on experience in AI/ML engineering, with strong coding proficiency in Python and/or Java . •Solid understanding of machine learning algorithms, deep learning, NLP, and computer vision concepts. •Experience with ML/DL frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn . •Strong knowledge of data structures, algorithms, and software engineering principles . •Hands-on experience with Lanserve (model serving) and Langfuse (observability/monitoring for LLMs/AI systems) . •Proficiency with containerization (Docker) and orchestration (Kubernetes) . •Exposure to big data technologies (Spark, Hadoop, Kafka) is a plus. •Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, CI/CD for ML) . •Experience working on cloud platforms (AWS SageMaker, Azure ML, or GCP AI Platform) . •Strong problem-solving and analytical skills with the ability to translate business requirements into ML solutions. Good to Have •Knowledge of LLMs (Large Language Models) and Generative AI . •Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) . •Contribution to open-source ML/AI projects . Education •Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field .

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