AI Innovation Leader

1 day ago

Mangalore, Karnataka, India beBeeGenAi Full time ₹ 25,00,000 - ₹ 35,00,000
Lead AI Solutions Architect

About the Role:

We are seeking a highly skilled Lead AI Solutions Architect to drive business growth and innovation through cutting-edge AI solutions.

Key Responsibilities:

  1. AI Application Development Expertise: Develop expert-level skills in AI application development using programming languages such as Python, and development tools like LangChain, LlamaIndex, LangFlow, Langgraph, LangSmith, Flowise.
  2. Domain Model Fine-Tuning Capabilities: Fine-tune domain models using languages and libraries such as Python, Data Engineering, OSS LLMs (Llama2, Mixtral, GPT-Neo, GPT-J), and tokenization & frameworks like Tokenizers (SentencePiece, Hugging Face Tokenizers), Fine-tuning Frameworks (Hugging Face Transformers, PyTorch Lightning).
  3. LLMOps Proficiency: Demonstrate proficiency in LLMOps using infrastructure and CI/CD tools like DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions, and monitoring and management tools like Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana.
  4. Data Engineering for AI Applications: Develop expertise in data engineering for AI applications using data processing and management tools like Python, Apache Spark, Apache Kafka, AWS S3, Azure Data Lake Storage (ADLS), Delta Lake, and workflow automation tools like Apache Airflow, dbt, Apache NiFi, Fivetran, Airbyte, Great Expectations.
  5. AI-Ready Cybersecurity Knowledge: Possess knowledge of AI-ready cybersecurity using threat modeling and security tools like AI-Specific Threat Modeling Tools, Secure ML Pipeline Tools, API Security Tools, monitoring and prevention tools like AI Security Monitoring Tools, Prompt Injection Prevention Libraries, Adversarial Example Detection Libraries.
  6. AI Guardrails and Ethics: Develop expertise in AI guardrails and ethics using ethics and fairness tools like AI Ethics Frameworks and Tools, Bias Detection and Mitigation Tools, Fairness Metrics Libraries, privacy and security tools like Privacy-Preserving Machine Learning Libraries, Robustness and Security Tools, transparency and governance tools like Model Interpretability Libraries, AI Governance Frameworks and Tools.
  7. Model Evaluation: Monitor and evaluate AI models using metrics like Bleu, Rouge, Perplexity, BERT-Score etc.,

Benefits:

This role offers opportunities for professional growth and development in a dynamic and innovative environment.

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