Senior AI/ML Engineer

• We are seeking a Senior AI/ML Engineer to design, develop, and deploy machine learning models and intelligent applications.
• The role involves building scalable AI solutions, contributing to transformation initiatives, and collaborating with cross-functional teams to deliver high-quality systems.

Requirement/Must Have:

• 1 to 3 years of experience in AI or machine learning engineering or related roles.
• Strong programming skills in at least one language such as Python, Java, C#, or Go.
• Good understanding of machine learning concepts and lifecycle.
• Hands-on experience with machine learning frameworks and libraries.
• Experience with DevOps practices including CI/CD and automation.
• Familiarity with tools such as Git and CI/CD platforms.
• Experience with containerization tools such as Docker.
• Understanding of REST APIs and microservices architecture.
• Exposure to cloud platforms such as AWS or Azure.
• Understanding of software development lifecycle processes.
• Experience working in Agile environments.
• Strong analytical and problem-solving skills.
• Good communication and collaboration skills.
• Ability to work in fast-paced environments with a continuous learning mindset.

Responsibilities:

• Design, develop, and deploy AI and machine learning models and applications.
• Build and maintain end-to-end machine learning pipelines including data ingestion, training, validation, and deployment.
• Evaluate and improve model performance through experimentation and tuning.
• Integrate AI models into enterprise applications, APIs, and workflows.
• Deploy models into production using CI/CD pipelines.
• Collaborate with DevOps teams to ensure scalability, monitoring, and reliability.
• Work with engineering and QA teams to identify automation opportunities.
• Develop and expose AI services through APIs and microservices.
• Monitor model performance and implement retraining strategies.
• Ensure version control of models, datasets, and code.
• Participate in system design, code reviews, and release processes.
• Contribute to AI initiatives, proof-of-concepts, and pilot projects.

Should Have:

• Experience with MLOps tools and platforms.
• Exposure to generative AI and large language models.
• Familiarity with infrastructure as code tools.
• Experience with monitoring and logging tools.
• Knowledge of data pipelines and streaming technologies.

Skills:

• Machine learning and AI development.
• Programming and software engineering.
• DevOps and CI/CD practices.
• Cloud computing and microservices.
• Data processing and pipeline development.

Qualification And Education:

• Bachelor s degree in Computer Science, Data Science, Engineering, or a related field.