AI/ML Developer

2 days ago

ahmedabad, India Etech Global Services Full time

Role Description
This is a full-time remote role for an AI/ML Developer specializing in Application Integration & Workflow Development. The role involves developing and integrating artificial intelligence and machine learning solutions into applications, enhancing workflow processes for improved efficiency and performance.

WHAT WE EXPECT YOU TO HAVE:

Programming Languages:
Python:  Advanced proficiency in Python, particularly for integrating AI models into applications, automating workflows, and handling data processing tasks.
JavaScript/TypeScript:  Proficiency in JavaScript or TypeScript for developing and integrating frontend components that interact with AI models.
Software Development & Integration:
API Development:  Experience in developing RESTful APIs and microservices that enable AI models to interact with applications and other systems.
Containerization & Orchestration:  Proficiency in using Docker and Kubernetes for containerizing AI applications and managing scalable deployments.
Frontend Integration:  Ability to integrate AI models into frontend applications, ensuring smooth data flow and user interaction.

Data Engineering Skills:
Data Transformation & Processing:  Strong understanding of data transformation techniques, including ETL processes, data normalization, and handling large-scale data in distributed systems.
Database Management:  Experience with both SǪL and NoSǪL databases, particularly in optimizing queries and data structures for AI/ML tasks.
Data Pipeline Development:  Ability to design and implement data pipelines that facilitate seamless data flow from raw data to model-ready datasets.

Experience:
Model Integration & Deployment:  Proven experience in deploying AI models into production environments, ensuring that they are scalable, efficient, and reliable.
Workflow Automation:  Demonstrated ability in automating workflows for model training, validation, testing, and deployment, ensuring repeatability and consistency across development cycles.
Software Development Lifecycle:  Strong experience in the full software development lifecycle (SDLC), including requirements gathering, design, coding, testing, deployment, and maintenance.
Cross-functional Collaboration:  Experience working in cross-functional teams, including collaboration with data scientists, AI researchers, and software engineers to integrate AI solutions into production systems.

Education:
Academic Ǫualifications:  Bachelor’s degree in Computer Science, Software Engineering, or a related field. An advanced degree or relevant certifications in AI/ML or software development would be an advantage.
Certifications:  Relevant certifications in cloud computing (e.g., AWS Certified Solutions Architect), software development (e.g., Certified Kubernetes Administrator), or AI/ML (e.g., TensorFlow Developer) are a plus.

Other Skills:
Problem-Solving:  Strong analytical skills with the ability to troubleshoot and resolve complex infrastructure and deployment issues in a timely manner.
Collaboration:  Ability to work closely with AI Team and developers to understand infrastructure needs and provide robust technical support.
Documentation:  Experience in creating clear, detailed documentation for infrastructure setups, deployment pipelines, and operational procedures to facilitate knowledge sharing and reproducibility.

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