AI and Machine Learning Expert

17 hours ago


Mangalore, Karnataka, India beBeeDataEngineer Full time ₹ 15,60,000 - ₹ 25,18,000

Job Title: Senior Data Engineer

Description:

  • We are seeking an accomplished data engineer to spearhead the design and implementation of scalable, cloud-native ML/AI solutions.
  • The ideal candidate will have extensive experience in machine learning, deep learning, and full-stack development.

Responsibilities:

  • Design and architect ML pipelines using cloud services (e.g., SageMaker, ML Engine).
  • Develop and maintain robust ML/AI systems on AWS, Azure, or GCP.
  • Implement CI/CD pipelines for ML model deployment and monitoring.
  • Work with both SQL and NoSQL databases to manage structured and unstructured data.

Requirements:

  • Education & Experience:
  • Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 5+ years of hands-on experience in data science and machine learning.
  • 3+ years of experience working with deep learning frameworks and neural networks.
  • 2+ years of experience with cloud platforms and full-stack development.

Technical Skills:

  • Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
  • Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
  • Cloud Platforms: Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.
  • Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).
  • Full-Stack Development: Experience with React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes.

Non-Negotiables:

  • Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP.
  • Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.).
  • Implement CI/CD pipelines for ML model deployment and monitoring.
  • Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.).
  • Machine Learning: Scikit-learn.
  • Deep Learning: TensorFlow.
  • Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript.
  • Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda).
  • Vector databases and embeddings (Pinecone, Weaviate, Chroma).
  • Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.


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