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Greetings from TAO Digital!!
We are currently looking for AI/ML Engineer for Bangalore location.
Interested candidates can share your updated CV to [Confidential Information]
5+ years of professional experience in full-stack or backend development, with at least 5 years of recent hands-on experience working with Python and AI/ML-powered applications.
• Strong understanding of ML/NLP concepts, especially in areas such as text classification, summarization, and conversational AI.
• Proficiency working with Langchain, AWS Bedrock, OpenAI APIs, Hugging Face, and Vector Databases (e.g., Pinecone, FAISS, Weaviate, etc.).
• Experience with AWS services (especially Lambda, S3, Bedrock, Transcribe) in a SaaS or cloud-native environment.
• Solid experience in integrating AI features with frontend applications (React or similar).
• Ability to design clean, scalable APIs and integrate ML models into production systems.
• Exposure to data pipelines and unstructured text processing is a plus.
• Strong problem-solving, communication, and collaboration skills.
• Bachelor's or Master's degree in Computer Science or related field.
Job ID: 141068897
Skills:
AWS AI Services, Image processing applications, Generative AI, Python Programming Language, Cloud computing platforms and services
Skills:
Machine Learning, Tensorflow, Pytorch, Docker, Distributed Systems, Python, AWS, Sql, Deep Learning, Gcp, MLops, Keras, Rest Apis, Azure, Kubernetes, Airflow, vector databases, MLflow, AI concepts, Kubeflow, LangChain, Generative AI, LLMs, Scikit-learn, SageMaker, microservices architecture, RAG, Prompt Engineering
Skills:
Java, Cassandra, PostgreSQL, Dynamodb, Kafka, Sql, Redis, Nosql, Tensorflow, Pytorch, Docker, MySQL, Spark, Kubernetes, Python, Go
Skills:
Machine Learning, Python, Sql, Statistical Analysis, Generative AI, R, observability monitoring tools, full-stack development
Skills:
Rust, Cloudformation, Jenkins, Git, Gcp, Terraform, Spark, FastAPI, Azure, Kubernetes, Python, AWS, LangChain, Hugging Face Transformers, Go, MLflow, TF Serving, vLLM, GitHub Actions, CI CD pipelines, TorchServe
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