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Two95 International

Senior AI/ML Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • At least 5 years of experience in AI/ML development and deployment.
  • Experience building and deploying production-grade AI solutions.
  • Proficiency in Python and SQL.
  • Knowledge of machine learning and deep learning.
  • Experience with TensorFlow, PyTorch, and Scikit-Learn.
  • Experience with Generative AI, large language models, and prompt engineering.
  • Experience with LangChain, LlamaIndex, and Retrieval-Augmented Generation.
  • Experience with Apache Spark or PySpark.
  • Experience with Docker and Kubernetes.
  • Experience with MLflow and Kubeflow.
  • Experience with AWS or Azure cloud platforms.
  • Experience with Git and CI/CD pipelines.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently and collaboratively.
  • Strong ownership mindset and attention to detail.

Responsibilities

  • Develop, train, evaluate, and deploy machine learning models for business use cases.
  • Build predictive analytics, recommendation systems, forecasting models, and anomaly detection solutions.
  • Design and implement Generative AI applications using large language models.
  • Develop Retrieval-Augmented Generation solutions and AI-powered chatbots.
  • Perform data preprocessing, feature engineering, model tuning, and performance optimization.
  • Build scalable data pipelines for AI and machine learning workloads.
  • Deploy and manage machine learning models in production environments.
  • Implement MLOps best practices, including model monitoring, versioning, and CI/CD automation.
  • Collaborate with cross-functional teams to gather requirements and deliver AI solutions.
  • Ensure model reliability, scalability, security, and compliance with organizational standards.

Desired Qualifications

  • Experience with OpenAI, Llama, Claude, or similar large language models.
  • Experience with vector databases such as Pinecone, ChromaDB, Weaviate, or FAISS.
  • Experience with MLOps and model monitoring.
  • Experience with data engineering and ETL pipelines.
  • Knowledge of AI governance and Responsible AI.

About the Company

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