Company Overview :

Devlats Pvt Ltd is a technology-driven firm specializing in building scalable data architectures and intelligent automation solutions. We operate at the intersection of advanced data engineering and artificial intelligence, helping enterprises modernize their digital infrastructure. Our culture is rooted in technical excellence and agility, providing a collaborative environment where engineers solve complex problems for global clients across diverse sectors including finance, retail, and logistics. We leverage cutting-edge cloud and AI stacks to deliver high-impact, data-centric products that drive operational efficiency at scale.

Role Overview :

As an AI/ML Engineer + Data Engineer, you will bridge the gap between raw data infrastructure and intelligent model deployment. You will work closely with cross-functional teams, including data scientists, product managers, and cloud architects, to design end-to-end pipelines that feed high-quality data into sophisticated machine learning models. Your work will directly influence how our clients harness predictive analytics and agentic AI to solve real-world business challenges, ensuring our solutions are robust, scalable, and production-ready.

Key Responsibilities :

- Architect and maintain scalable data pipelines using PySpark and SQL to ensure seamless data flow from source systems to Snowflake DB.

- Design and implement advanced machine learning models and agentic AI workflows to automate complex decision-making processes for our clients.

- Develop and optimize prompt engineering strategies to enhance the performance and accuracy of Large Language Model (LLM) integrations.

- Manage the end-to-end MLOps lifecycle, including model versioning, deployment, and monitoring, to ensure high availability and performance in production environments.

- Collaborate with stakeholders to translate business requirements into technical specifications, ensuring that data solutions align with long-term organizational goals.

- Implement robust data governance and security practices within Azure cloud environments to maintain data integrity and compliance.

Tech Stack & Requirements :

- Demonstrated expertise in Python programming for both data engineering tasks and the development of machine learning algorithms.

- Proven ability to build and manage large-scale data warehouses using Snowflake DB and perform complex data transformations with PySpark.

- Hands-on experience in MLOps practices, including CI/CD for machine learning, to streamline the transition from experimentation to production.

- Strong proficiency in Azure cloud services, with the ability to architect and deploy cloud-native data and AI solutions.

- Advanced knowledge of Agentic AI frameworks and prompt engineering techniques to build intelligent, autonomous systems.

- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders in a remote-first, collaborative environment.

- Minimum of 4 to 7 years of professional experience in data engineering or machine learning roles, demonstrating a track record of delivering production-grade systems.

- A degree in Computer Science, Engineering, or a related quantitative field, reflecting a strong foundation in algorithmic thinking and data structures.