Engineer

Description:

Raas Infotek is seeking a highly skilled AI & ML Engineer / Architect to design, develop, and deploy next-generation artificial intelligence and machine learning solutions on Microsoft Azure and Amazon Web Services (AWS). This contract-based opportunity is ideal for professionals with extensive experience in cloud-native AI/ML services, MLOps automation, and production-scale deployment of intelligent systems. The role combines technical expertise with solution architecture, stakeholder engagement, and adherence to best practices in security and compliance.

Key Responsibilities:

AI/ML Solution Design & Development

• Build, train, and optimize ML/AI models using supervised, unsupervised, and deep learning techniques.

• Perform data preprocessing, feature engineering, and exploratory data analysis to ensure high-quality models.

• Select suitable algorithms, frameworks, and tools to address diverse business challenges.

Cloud Architecture & Integration

• Architect and implement scalable AI/ML solutions leveraging Azure Machine Learning, Cognitive Services, Azure Databricks, AWS SageMaker, AWS Rekognition, AWS Comprehend, and related platforms.

• Integrate AI/ML pipelines with data lakes, warehouses, and APIs for seamless data flow and decision-making.

• Ensure solutions comply with cloud security and governance standards.

MLOps & Automation

• Establish CI/CD pipelines for ML model training, testing, and deployment.

• Utilize Azure DevOps, GitHub Actions, AWS CodePipeline, Terraform, and CloudFormation for automation.

• Monitor and retrain models to maintain accuracy and performance at scale.

Collaboration & Stakeholder Engagement

• Partner with data engineers, scientists, DevOps engineers, and product managers to align solutions with business outcomes.

• Communicate solution designs, KPIs, and performance metrics to both technical and non-technical stakeholders.

Security, Compliance & Governance

• Implement GDPR, HIPAA, SOC 2 compliance measures for data governance.

• Apply responsible AI principles ensuring fairness, explainability, and transparency in AI models.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.

• 5+ years in AI/ML solution development and deployment.

• 3+ years of hands-on work with Azure & AWS AI/ML services.

• Proficiency in Python, R, TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers.

• Strong knowledge of Azure Data Lake, AWS S3, Synapse, Redshift, Kinesis, Event Hubs.

• Experience with Docker, Kubernetes (AKS/EKS) for ML workloads.

• Familiarity with Spark, Databricks, and big data frameworks.

Preferred / Nice-to-Have:

• Certifications such as:

  • Microsoft Certified: Azure AI Engineer Associate / Azure Solutions Architect Expert

  • AWS Certified Machine Learning – Specialty / AWS Solutions Architect – Professional

• Exposure to Generative AI, LLMs (OpenAI, Azure OpenAI, Amazon Bedrock).

• Knowledge of Edge AI deployment strategies.

Soft Skills:

• Strong problem-solving and analytical mindset.

• Excellent communication and presentation skills.

• Ability to thrive in a fast-paced, cross-functional environment.