DescriptionDevsinc is seeking an Associate AI Engineer who is passionate about building intelligent production-grade AI this role you will work across the full machine learning lifecycle from data pipelines to deploying scalable models and generative AI systems. You will have the opportunity to work on projects ranging from classic predictive models to cutting-edge LLM-powered applications. Passionate about MLOps and AI innovation This is your perfect career kickstart!
Responsibilities
- Design develop and productionize machine learning models for classification recommendation and forecasting.
- Build and deploy scalable APIs and containerized services using Docker.
- Explore and implement Generative AI solutions including RAG pipelines and agentic workflows with frameworks like LangChain/LangGraph.
- Engineer robust data pipelines to source process and feature-engineer data from SQL and NoSQL databases (e.g. PostgreSQL MongoDB).
- Contribute to MLOps infrastructure including CI/CD pipelines for training validation deployment and monitoring.
- Collaborate with cross-functional teams to integrate AI-driven solutions into production systems.
- Stay up-to-date with industry trends in traditional ML Generative AI and MLOps practices.
Requirements- Bachelors degree in Computer Science Artificial Intelligence Data Science or a related field.
- 6 months to 1 yearof relevant experience (freelancing or full-time).
- Proficiency in Python with a strong grasp of Object-Oriented Programming (OOP).
- Solid foundation in traditional ML concepts and libraries (e.g. scikit-learn pandas).
- Hands-on experience with the LLM ecosystem (LangChain LangGraph Hugging Face OpenAI APIs).
- Skilled in working with relational and non-relational databases (PostgreSQL MongoDB).
- Experience deploying applications via REST APIs and containerization tools like Docker.
- Understanding of the end-to-end ML lifecycle from data sourcing to monitoring.
- Strong problem-solving skills a production-first mindset and eagerness to learn emerging AI trends.
- Collaborative open to knowledge-sharing and teamwork.
- Team Player willing to support peers and contribute to collective success.
- Growth Minded eager to learn improve and adapt to emerging technologies.
- Adaptable flexible in dynamic fast-paced environments.
- Customer-Centric focused on delivering solutions that create real business value.
Required Experience:
IC
DescriptionDevsinc is seeking an Associate AI Engineer who is passionate about building intelligent production-grade AI this role you will work across the full machine learning lifecycle from data pipelines to deploying scalable models and generative AI systems. You will have the opportunity to wor...
DescriptionDevsinc is seeking an Associate AI Engineer who is passionate about building intelligent production-grade AI this role you will work across the full machine learning lifecycle from data pipelines to deploying scalable models and generative AI systems. You will have the opportunity to work on projects ranging from classic predictive models to cutting-edge LLM-powered applications. Passionate about MLOps and AI innovation This is your perfect career kickstart!
Responsibilities
- Design develop and productionize machine learning models for classification recommendation and forecasting.
- Build and deploy scalable APIs and containerized services using Docker.
- Explore and implement Generative AI solutions including RAG pipelines and agentic workflows with frameworks like LangChain/LangGraph.
- Engineer robust data pipelines to source process and feature-engineer data from SQL and NoSQL databases (e.g. PostgreSQL MongoDB).
- Contribute to MLOps infrastructure including CI/CD pipelines for training validation deployment and monitoring.
- Collaborate with cross-functional teams to integrate AI-driven solutions into production systems.
- Stay up-to-date with industry trends in traditional ML Generative AI and MLOps practices.
Requirements- Bachelors degree in Computer Science Artificial Intelligence Data Science or a related field.
- 6 months to 1 yearof relevant experience (freelancing or full-time).
- Proficiency in Python with a strong grasp of Object-Oriented Programming (OOP).
- Solid foundation in traditional ML concepts and libraries (e.g. scikit-learn pandas).
- Hands-on experience with the LLM ecosystem (LangChain LangGraph Hugging Face OpenAI APIs).
- Skilled in working with relational and non-relational databases (PostgreSQL MongoDB).
- Experience deploying applications via REST APIs and containerization tools like Docker.
- Understanding of the end-to-end ML lifecycle from data sourcing to monitoring.
- Strong problem-solving skills a production-first mindset and eagerness to learn emerging AI trends.
- Collaborative open to knowledge-sharing and teamwork.
- Team Player willing to support peers and contribute to collective success.
- Growth Minded eager to learn improve and adapt to emerging technologies.
- Adaptable flexible in dynamic fast-paced environments.
- Customer-Centric focused on delivering solutions that create real business value.
Required Experience:
IC
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