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AI Engineer @ IBM

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 AI Engineer

Job Description


 AI Engineer Partner EcosystemRoles and Responsibilities 
An  AI Engineer  focused on the  partner ecosystem  works at the intersection of artificial intelligence (AI), business partnerships, and technical enablement. This role is responsible for driving AI adoption, enabling partners with AI tools, and collaborating on AI-driven solutions. Below are the key responsibilities:
 1. Partner Enablement & AI Adoption 
  • Educate partners on AI technologies, frameworks, and best practices.
  • Conduct workshops, webinars, and training sessions to upskill partners on AI models and tools.
  • Provide technical guidance and resources to help partners integrate AI into their solutions.
  • Support partners in understanding AI/ML development, deployment, and optimization.
    •  2. AI Solution Development & Integration 
  • Collaborate with partners to design, develop, and implement AI-powered solutions.
  • Assist partners in integrating AI models (e.g., machine learning, NLP, computer vision) into their products.
  • Support the customization of AI models for partner use cases.
  • Ensure scalability, security, and efficiency in AI deployments within partner ecosystems.
    •  3. Technical Support & Troubleshooting 
  • Provide hands-on technical support for partners during AI development and deployment.
  • Troubleshoot AI-related issues, ensuring smooth integration with partner platforms.
  • Work closely with internal AI teams to address partner challenges.
    •  4. Collaboration & Relationship Management 
  • Build and maintain strong relationships with technology and business partners.
  • Act as a bridge between internal AI teams and external partners.
  • Gather feedback from partners and relay insights to improve AI offerings.
  • Align AI solutions with partner business objectives and industry trends.
    •  5. AI Research & Innovation 
  • Stay updated on the latest AI trends, tools, and best practices.
  • Experiment with emerging AI models and frameworks to provide innovative solutions for partners.
  • Collaborate with AI researchers and developers to enhance AI capabilities.
    •  6. Compliance, Ethics & Responsible AI 
  • Ensure AI solutions comply with ethical AI principles and industry regulations.
  • Advise partners on AI governance, data privacy, and compliance requirements.
  • Promote fairness, transparency, and accountability in AI deployments.
    • Required education
    Bachelor's Degree Preferred education
    Bachelor's Degree Required technical and professional expertise
     AI & Machine Learning Frameworks 
    Proficiency in AI/ML libraries
    Experience working with large-scale AI models  (e.g., LLMs, generative AI, reinforcement learning).
    Knowledge of  edge AI and AI model optimization  for different deployment environments.
     Programming & Development Skills 
    Strong coding skills in  Python 
    Experience with AI-driven APIs and SDKs for partner integrations. Knowledge of  DevOps/MLOps  pipelines, CI/CD for AI, and automation tools.Experience with AI/ML services from major cloud providers:Familiarity with Kubernetes, Docker, and serverless AI deployments.
     4. Data Engineering & AI Infrastructure 
    Knowledge of big data processing  frameworks (Apache Spark, Hadoop, Databricks).
    Experience with data pipelines, feature engineering, and model training at scale .
    Understanding of  database technologies  (SQL, NoSQL, GraphDBs).
     5. AI Analytics & Monitoring 
    Familiarity with AI observability and monitoring tools (
    Experience in model explainability and AI performance tuning. Preferred technical and professional experience
  • Strong experience in AI/ML, deep learning, and data science including Generative AI
  • Proficiency in Python, TensorFlow, PyTorch, or other AI frameworks.
  • Knowledge of cloud AI services
  • Experience with MLOps, AI deployment, and model optimization.
  • Excellent communication and technical enablement skills.
  • Ability to work cross-functionally with internal teams and external partners.

    • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Machine Learning Engineer
    Employement Type: Full time

    Contact Details:

    Company: IBM
    Location(s): Hyderabad

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    Keyskills:   python aiml deep learning tensorflow ml continuous integration kubernetes natural language processing graphdbs ci/cd machine learning artificial intelligence sql docker nosql data bricks data science spark devops computer vision pytorch hadoop

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