AI Engineer

Job Description:

Key Responsibilities:

Hands-on Development:

• Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques.
• Build generative AI solutions using Retrieval-Augmented Generation (RAG), Vector Databases, LangChain, and Hugging Face.
• Utilize AI/ML frameworks and libraries like TensorFlow, PyTorch, and scikit-learn for model development.
• Design and deploy NLP models, including text classification, CNNs, RNNs, and Transformer-based models like BERT.
• Ensure robust end-to-end AI/ML pipelines, covering data preprocessing, feature engineering, model deployment, and monitoring.

Technical Proficiency:

• Strong programming skills in Python, with experience in data science and ML applications.
• Expertise in cloud-based AI/ML deployments, particularly on AWS (Sagemaker, Lambda, DynamoDB, S3, etc.).
• Knowledge of MLOps best practices, including model lifecycle management, CI/CD, and monitoring.

Mentorship & Leadership:

• Mentor and guide a team of data scientists and ML engineers, fostering a culture of innovation and continuous learning.
• Provide technical leadership to help resolve challenges and ensure best practices in AI/ML development.
• Define and drive AI/ML strategy, aligning technical initiatives with business goals.

Strategic Advisory:

• Collaborate with cross-functional teams to integrate AI/ML solutions into business workflows and products.
• Provide strategic insights and recommendations to optimize AI-driven decision-making.
• Communicate complex AI concepts to both technical and non-technical stakeholders.

Required Skills & Qualifications:

• 5+ years of hands-on experience in AI/ML model development and deployment.
• Strong expertise in Python and AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn.
• Experience with Generative AI, RAG, LangChain, Vector DBs, and NLP techniques.
• Hands-on experience with AWS AI/ML services, including Sagemaker, Lambda, DynamoDB, and S3.
• Proven ability to mentor and lead AI/ML teams, setting technical direction.
• Strong communication skills with the ability to present AI-driven insights to stakeholders.
• Experience managing end-to-end AI/ML projects from conception to deployment.

Preferred Qualifications:

• Knowledge of MLOps, CI/CD for ML, and AI model optimization techniques.
• Experience working with large-scale AI solutions in production environments.
• Understanding of AI ethics, bias mitigation, and responsible AI principles.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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