AI/ML Engineer
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Role - AI Ops
Location - Bangalore/ Pune
Duration - Fulltime
Scope and Responsibilities:
Looking for lead level engineer who will be 100% hands on, has the engineering maturity to discuss with Stakeholders in the Infrastructure Engineering team who are Principal Engineers, Directors or Sr. Directors to understand opportunities for AI based automation , propose solutions per existing AIOps framework and best practices and implement solutions. The Infrastructure Domain includes Cloud Infrastructure across AWS, Azure, GCP and Physical infrastructure includes Firewalls, DNS and AD. The engineer would be discussing directly with technical stakeholders who are operating and managing these infrastructure to identify automation opportunities and come up with AI/ Agentic based solutions standard AI Ops framework and best practices. Hence require a high level of engineering maturity and self motivation to have these conversations and come up with proposals and implement the solution.
Required Skills:
Programing languages (must) – Python Programing languages (preferred ) - Java Script, Java, Scala, R
AI/ML platform experience – Databricks,
Framework and tools – LangChain, Langraph, MLFlow, DBRX instruct, Llama, Cohere,
Additionally working knowledge on the following : Google ADK, A2A, MCP, Argo
Cloud Exposure - working knowledge : AWS, GCP, Azure
Job ID: 151740221
Skills:
Java, Machine Learning, Linear Regression, Data Cleaning, Sql, Tensorflow, Deep Learning, Git, Pytorch, Version Control Systems, Keras, Python, data pre-processing, support vector machines, scikit-learn, random forests, cross-validation, software engineering principles, R, feature engineering, hyperparameter tuning
Skills:
Machine Learning, Natural Language Processing, Kafka, Tensorflow, Django, Gcp, Pytorch, Docker, Flask, Azure, Kubernetes, Python, AWS, GenAI, Scikit-learn
Skills:
Gitlab, Sql, Tensorflow, Pandas, Pytorch, Gcp, Git, XGBoost, Github, Numpy, AWS, Kubernetes, Python, Azure, Docker, Jenkins, Airflow, GitLab CI, scikit-learn, CoreML, Neptune.ai, TensorRT, GitHub Actions, MLflow, LightGBM, TensorBoard, TFLite
Skills:
RAG, Python programming language, AWS AI ML services ecosystem, FAST APIs, Machine Learning architectures
Skills:
text classification , MLops, Python, AWS, multi-agent systems, cloud-based AI deployments, Llm, RAG, AI frameworks, retrieval systems, embeddings, Evaluation, model fine-tuning, Optimization, NLP models, semantic search
