AI engineer Intern

Database Programmer / Developer (SQL, Python, Healthcare)

Job Summary

We are seeking a skilled and experienced Database Programmer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our database systems, with a strong focus on data integrity, performance, and security. The role requires expertise in SQL, strong programming skills in Python, and prior experience working within the healthcare domain to handle sensitive data and complex regulatory requirements.

Key Responsibilities

• Design, implement, and maintain scalable and efficient database schemas and systems.
• Develop and optimize complex SQL queries, stored procedures, and triggers for data manipulation and reporting.
• Write and maintain Python scripts to automate data pipelines, ETL processes, and database tasks.
• Collaborate with data analysts, software developers, and other stakeholders to understand data requirements and deliver robust solutions.
• Ensure data quality, integrity, and security, adhering to industry standards and regulations such as HIPAA.
• Troubleshoot and resolve database performance issues, including query tuning and indexing.
• Create and maintain technical documentation for database architecture, processes, and applications.

Required Qualifications

• Experience:
• Proven experience as a Database Programmer, SQL Developer, or a similar role.
• Demonstrable experience working with database systems, including data modeling and design.
• Strong background in developing and maintaining applications and scripts using Python.
• Direct experience within the healthcare domain is mandatory, including familiarity with medical data (e.g., patient records, claims data) and related regulatory compliance (e.g., HIPAA).
• Technical Skills:
• Expert-level proficiency in Structured Query Language (SQL) and relational databases (e.g., SQL Server, PostgreSQL, MySQL).
• Solid programming skills in Python, including experience with relevant libraries for data handling (e.g., Pandas, SQLAlchemy).
• Experience with data warehousing concepts and ETL (Extract, Transform, Load) processes.
• Familiarity with version control systems, such as Git.

Preferred Qualifications

• Experience with NoSQL databases (e.g., MongoDB, Cassandra).
• Knowledge of cloud-based data platforms (e.g., AWS, GCP, Azure).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with other programming languages relevant to data science or application development.

Education

• Bachelor’s degree in computer science, Information Technology, or a related field.

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CTC: up to 20 LPA

Exp: 4 to 7 Years

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)

Skills & Competencies

• Skills Java (Spring Boot, Spring Cloud, Spring Security)
•  
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience
• Developing ideas for new programs, products, or features by monitoring industry developments and trends
• Recording data and reporting it to proper parties, such as clients or

  • leadership

• Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members
• Taking lead on projects, as

• 3 years Willing to take efforts to advance in the technology or learn new technologies.
• Solid understanding of OOPs concepts.
• Willing to take efforts to advance in the technology or learn new technologies.
• Good communication skills and a continuous learner.
• Experience working on waterfall or Agile (Agile model preferred)
• Solid understanding of Python scripting and/or frameworks like Django, Flask Back up RRS.

Role- Software Development Engineer-2

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

• You write high quality, maintainable, and robust code, often in Java or C++ or C#
• You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
• Roles & Responsibilities
• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.

About Amazon.com

“Many of the problems we face have no textbook solution, and so we-happily-invent new ones.” – Jeff Bezos

Amazon.com – a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.

Technological innovation drives the growth of Amazon, offering our customers more selection, convenient shopping, and low prices. Amazon Web Services provides developers and small to large businesses access to the horizontally scalable state of the art cloud infrastructure like S3, EC2, AMI, CloudFront and SimpleDB, that powers Amazon.com. Developers can build any type of business on Amazon Web Services and scale their application with growing business needs.

We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.