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Artificial Intelligence Engineer

3 weeks ago

Thiruvananthapuram, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Data Specialist Role

This role involves working with complex data sets and developing innovative solutions using machine learning and deep learning algorithms.

Key Responsibilities:

  • Design, develop, and deploy advanced machine learning models to solve business problems.
  • Implement and optimize Large Language Models (LLMs) for real-world applications.
  • Build agent-based AI systems with autonomous decision-making capabilities.
  • Conduct research on emerging AI technologies and explore their practical applications.
  • Perform model evaluation, validation, and continuous optimization to ensure high performance.
    • Cloud Infrastructure & Full-Stack Development:
    • Architect scalable, cloud-native ML/AI solutions using cloud platforms.
    • Develop full-stack applications that integrate AI models with web technologies.
    • Build robust ML pipelines using cloud services.
    • Implement CI/CD pipelines to streamline ML model deployment and monitoring.
    • Design optimized cloud infrastructure to support high-performance computing workloads.
      • Data Engineering & Database Management:
      • Design data pipelines for large-scale data processing and real-time analytics.
      • Work with both SQL and NoSQL databases to manage structured and unstructured data.
      • Optimize database performance to support machine learning workloads and real-time applications.
      • Implement data governance frameworks and ensure data quality assurance practices.
      • Manage streaming data to enable real-time decision-making.
        • Leadership & Collaboration:
        • Mentor junior data scientists and drive technical innovation.
        • Collaborate with cross-functional teams to develop solutions aligned with organizational goals.
        • Presentation of findings and insights to technical and non-technical audiences.
        • Lead proof-of-concept projects and innovation initiatives.

Required Qualifications:

  • Education & Experience:
  • Master's 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 - Core AI/ML:
    • Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
    • Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
    • Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
    • Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
    • Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.
      • Technical Skills - Development & Infrastructure:
      • Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.
      • 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.
      • MLOps: Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks.
      • Big Data: Expertise in Spark, Hadoop, Kafka, and streaming data processing.

Non-Negotiables:

  • Cloud Infrastructure - ML/AI solutions on cloud platforms.
  • Build and maintain ML pipelines using cloud services.
  • Implement CI/CD pipelines for ML model deployment and monitoring.
  • Work with both SQL and NoSQL databases.
  • Machine Learning: Scikit-learn.
  • Deep Learning: TensorFlow.
  • Programming: Python.
  • Cloud Platforms: AWS.
  • Vector databases and embeddings.
  • Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.

If you are interested, please submit your resume.