AI / ML Engineer

Project Role :AI / ML Engineer


Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Java Enterprise Edition, DNS,DFS,ADFS

Good to have skills :NA
Minimum 5 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:The Microservices / APIs Engineers are responsible for designing, developing, and maintaining microservices and APIs that form the backbone of the EDA.
Roles & Responsibilities:

Expected to be an SME, collaborate and manage the team to perform.

Responsible for team decisions.

Design and develop microservices and APIs.

Ensure seamless integration and communication between services.

Maintain high availability and scalability of the microservices.

Implement security and data protection measures.

Collaborate with other engineers to ensure cohesive development practices.

Engage with multiple teams and contribute on key decisions.

Expected to provide solutions to problems that apply across multiple teams.

Create a proper cloud or on-prem application pipeline with production-ready quality. Professional & Technical Skills:

Must To Have Skills:Proficiency in Java Enterprise Edition.

Strong understanding of statistical analysis and machine learning algorithms.

Experience with data visualization tools such as Tableau or Power BI.

Experience in designing and developing microservices.

Proficiency in RESTful APIs and related frameworks.

Strong programming skills in relevant languages (Java, Python, Node.js, etc.).

Knowledge of containerization (Docker, Kubernetes).

Understanding of cloud platforms (AWS, Azure, GCP).

Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.

Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:

A 15 years full-time education is required.Qualifications15 years full time education