Cloud AI

4 days ago

Bengaluru, Karnataka, India Acesoft Labs Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Cloud, Artificial Intelligence, Data Engineering

Skill to Evaluate :

Cloud, Artificial Intelligence, Data Engineering

Experience :

6 to 10 Years

Location :

Bengaluru

Job Description :

Job Summary:

We are looking for an experienced Cloud AI and Data Engineer with a strong background in cloud-native data solutions, AI/ML engineering, and emerging Generative AI (GenAI) technologies. The ideal candidate will have 68 years of hands-on experience in building robust data platforms, deploying scalable ML models, and integrating GenAI solutions across cloud environments.

Key Responsibilities:

  • Build and maintain scalable data pipelines and infrastructure for AI and analytics using cloud-native tools (e.g., AWS Glue, Azure Data Factory, GCP Dataflow)
  • Design and implement production-ready GenAI applications using services like Amazon Bedrock, Azure OpenAI, or Google Vertex AI
  • Develop and deploy AI/ML models including transformer-based and LLM (Large Language Model) solutions
  • Integrate GenAI with enterprise workflows using APIs, orchestration layers, and retrieval-augmented generation (RAG) patterns
  • Collaborate with data scientists, product managers, and platform teams to operationalize AI-driven insights and GenAI capabilities
  • Build prompt engineering frameworks, evaluate output quality, and optimize token usage and latency for GenAI deployments
  • Set up monitoring, drift detection, and governance mechanisms for both traditional and GenAI models
  • Implement CI/CD pipelines for data and AI solutions with automated testing and rollback strategies
  • Ensure cloud solutions adhere to data privacy, security, and regulatory compliance standards

Required Skills & Qualifications:

  • 68 years of experience in data engineering or machine learning engineering in cloud environments (AWS, Azure, or GCP)
  • Proficiency in Python and SQL; familiarity with PySpark, Java, or Scala is a plus
  • Experience working with GenAI models such as GPT, Claude, or custom LLMs via cloud services (e.g., Bedrock, Azure OpenAI, HuggingFace)
  • Hands-on with prompt design, fine-tuning, vector stores (e.g., FAISS, Pinecone), and knowledge base integrations
  • Experience with MLOps and LLMOps tools (e.g., MLflow, LangChain, SageMaker Pipelines, Weights & Biases)
  • Solid understanding of containerization (Docker), orchestration (Kubernetes), and microservices
  • Knowledge of data lake/warehouse platforms such as S3, Snowflake, BigQuery, or Redshift
  • Familiar with governance frameworks, access control, and responsible AI practices

Preferred Qualifications:

  • Certifications in Cloud AI/ML platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer)
  • Experience building RAG systems, vector database search, and multi-turn conversational agents
  • Exposure to real-world GenAI use cases like code generation, chatbots, document summarization, or knowledge extraction
  • Knowledge of OpenAPI, JSON schema validation, and API lifecycle tools

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