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Key responsibilities:
• • Design and develop AI/ML Proof of Concepts (POCs) to validate new business use cases
• Build and deploy LLM-based applications using modern frameworks and custom pipelines
• Rapidly evaluate feasibility across ML, NLP, and Generative AI domains
• Develop APIs, microservices, and pipelines to integrate AI solutions
• Conduct experiments on model fine-tuning, embeddings, and vector search optimization
• Stay updated with the latest advancements in AI (transformers, RAG, agentic workflows, multimodal models)
• Collaborate with business stakeholders to convert requirements into technical solutions
• Present POC outcomes, insights, and recommendations to leadership
• Apply lightweight MLOps practices such as versioning, monitoring, and evaluation
Experience Required: 6-8 ( 4+ relevant)
Bangalore, Hyderabad only
Job ID: 151287033
Skills:
Tensorflow, Pytorch, Docker, Spark, Databricks, Kubernetes, Python, AWS, experiment tracking, scikit-learn, MLflow, CI CD, gRPC APIs, model registries, MLOps tools, model lifecycle management
Skills:
Pyspark, Tensorflow, Numpy, Git, Pandas, XGBoost, Keras, Python, LightGBM, TensorFlow Serving, TensorRT, MLflow, ONNX, Kubeflow, TorchServe, AWS ML pipelines
Skills:
Databricks, Java, Microservices, Golang, Machine Learning, AWS, Python, Scala, Spark, Statistics, GenAI, MLFlow, LangChain, distributed data processing frameworks, LangGraph
Skills:
Data Cleaning, Tensorflow, Numpy, Google Cloud, Pandas, Pytorch, Python, Gcp, Nlp, Exploratory Data Analysis, XGBoost, Vision AI, Conversational AI, machine learning pipelines, Gen AI, Scikit-learn, Document extraction using AI, LangChain, model training, feature selection
Skills:
Java, Tensorflow, Grafana, Pytorch, Terraform, Scala, CDK, AWS, Prometheus, Kubernetes, Python, Azure, Docker, LangChain, LLMs, Semantic Kernel, Hugging Face, orchestration frameworks, OpenTelemetry, RAG, Harness, CrewAI, LangGraph, GitHub Actions, autonomous agents, distributed AI systems, agentic architectures, multi-agent AI systems, AutoGen