AIML Solutions Engineer
AIML Solutions Engineer
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Job Description
Job Title: AI/ML Solutions Engineer (Generative AI)
Experience Range: 57 Years
Location: Bangalore (Hybrid Mode)
Resillion a leading quality engineering and digital assurance company with offices in the UK Belgium Netherlands US China & India is seeking a highly skilled and experienced AI/ML Solutions Engineer with a specialization in Generative AI to join our innovative India team. This role will be instrumental in driving the development and implementation of cuttingedge generative AI solutions to address various quality assurance and cyber security use cases throughout the software development lifecycle.
Responsibilities:
Advise stakeholders on the potential and application of generative AI to address quality assurance and cyber security challenges across the software development lifecycle.
Architect and design scalable and robust generative AI solutions tailored to specific use cases in quality engineering and cyber security.
Lead the development and implementation of generative AI models and applications on both Microsoft Azure and Google Cloud Platform.
Develop and maintain efficient data pipelines and workflows for generative AI projects within Azure and GCP environments.
Collaborate with software development teams quality engineers and security experts to integrate generative AI solutions into existing processes and tools.
Design and implement experiments to evaluate the performance and effectiveness of generative AI models and applications.
Develop and deploy generative AI models into production environments on Azure and GCP ensuring scalability reliability and security.
Monitor and maintain deployed generative AI solutions addressing any issues and optimizing performance.
Research and evaluate new generative AI techniques and tools to identify opportunities for innovation and improvement.
Document generative AI solutions including architecture design and implementation details.
Contribute to knowledge sharing and best practices within the team regarding generative AI development and deployment.
Qualifications :
You possess a minimum of 5 years of proven experience in developing and deploying Machine Learning models with a strong emphasis on building and deploying Generative AI applications.
You have a deep understanding of generative AI techniques and models (e.g. GANs VAEs Transformers diffusion models) and their application in realworld scenarios.
You have handson experience in the entire lifecycle of AI/ML solution development with a focus on generative AI from data exploration and preprocessing to model training evaluation deployment and monitoring.
You have proven experience in designing architecting and implementing AI/ML solutions with a focus on generative AI within both the Microsoft Azure and Google Cloud Platform (GCP) ecosystems leveraging their respective AI/ML services (e.g. Azure Machine Learning Azure AI Services Vertex AI Google Cloud AI Platform).
You are proficient in programming languages relevant to generative AI development (e.g. Python) and deep learning frameworks (e.g. TensorFlow PyTorch Transformers).
You are adept at translating complex business requirements into innovative and practical generative AI solutions.
You possess excellent problemsolving skills and a passion for exploring and implementing the latest advancements in generative AI.
You are a strong communicator and collaborator capable of effectively articulating technical concepts related to generative AI to both technical and nontechnical stakeholders.
You are passionate about the potential of generative AI to revolutionize quality assurance and cyber security.
Bonus:
Experience with various Free and Open Source Software (FOSS) solutions relevant to AI/ML and generative AI development and deployment such as:
ML/DL Frameworks: TensorFlow PyTorch scikitlearn Keras Hugging Face Transformers.
Data Science Libraries: Pandas NumPy Matplotlib Seaborn.
MLOps Tools: MLflow Kubeflow Airflow.
Data Engineering Tools: Apache Spark Apache Kafka PostgreSQL MySQL.
Containerization & Orchestration: Docker Kubernetes.
Experience in applying generative AI to specific quality assurance domains (e.g. synthetic data generation for testing AIassisted test case generation).
Experience in applying generative AI to specific cyber security domains (e.g. AIdriven threat detection generation of adversarial examples for security testing).
Familiarity with prompt engineering techniques for large language models (LLMs).
Understanding of ethical considerations and responsible AI development practices related to generative AI.
Additional Information :
Why Join Us
- Work in a dynamic and rapidly evolving field.
- Competitive compensation benefits and growth opportunities.
- Make a significant impact on the organizations overall posture.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
