Join our AI Services Consulting team for an immersive threemonth internship. Youll work with senior engineers to develop and deploy AI/ML solutions support client engagements and gain handson experience across the software development lifecycle cloud deployment and business application integration.
Key Responsibilities
AI/ML Development & MLOps
Build data pipelines: preprocessing feature engineering model training
Implement supervised/unsupervised learning models
Develop basic NLP and computervision solutions
Participate in model versioning monitoring deployment and performance tuning
Technical Integration & Software Engineering
Translate business requirements into development tasks
Integrate AI/ML services via API development and testing
Write dataprocessing scripts and automate workflows
Contribute to web applications database operations and system maintenance
Participate in code reviews and apply best practices
Cloud & Business Application Configuration
Deploy projects on AWS Azure or GCP
Configure and customize CRM/ERP platforms (e.g. HubSpot Salesforce)
Support IT initiatives: system integrations data migrations workflow automation
Data Engineering & Operations
Develop Python/SQL pipelines for data preparation
Implement dataquality checks and validation
Assist with CI/CD testing and deployment workflows
Contribute to data governance and security protocols
Learning & Collaboration
Attend AI/ML workshops and training sessions
Engage in team meetings project planning and client presentations
Document processes share knowledge and present project outcomes
Qualifications
Education & Fundamentals
Pursuing or recently completed B.S./M.S. in Computer Science Data Science Engineering or related
Coursework or projects in machine learning statistics and data analysis
Proficiency in Python and experience with Pandas/NumPy
Technical Skills & Curiosity
Familiarity with scikitlearn TensorFlow or PyTorch
Basic SQL knowledge and datavisualization experience (Matplotlib Seaborn Plotly)
Understanding of Git and software development workflows
Exposure to cloud platforms and eagerness to learn MLOps
Communication & Problem Solving
Strong analytical and debugging skills
Clear written and verbal communication for technical documentation
Ability to manage multiple tasks and learn quickly in a fastpaced environment
Enthusiasm for AI/ML and its business applications
Nothing in this job description restricts managements right to assign or reassign duties and responsibilities to this job at any time. This description reflects managements assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. This job description is subject to change at any time.
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