Senior AI ML Engineer with Python, AI Transformation Platform

DataArt·India·Офис·сегодня

About the Position

We are looking for a Senior AI ML Engineer to design, develop, and deploy AI and machine learning solutions that support business transformation and automation. You will work across the full lifecycle of AI systems, including data preparation, model development, deployment, monitoring, and continuous optimization in production environments.

About the Project

You will contribute to an AI Transformation Platform focused on building intelligent capabilities that enhance business processes and digital experiences. The project emphasizes scalable machine learning, generative AI, and enterprise grade large language model integrations across modern cloud environments.

About the Team

You will work in a small and collaborative team of 1 to 10 specialists. The team is expanding and works closely with data engineers, product stakeholders, and cloud specialists to deliver production ready AI solutions.

Responsibilities

Design, develop, and deploy machine learning and generative AI models including large language model based solutions and retrieval augmented generation pipelines
Develop scalable AI services and microservices using Python and cloud native technologies
Optimize models to improve performance, accuracy, and cost efficiency
Work with structured and unstructured datasets for feature engineering, vectorization, and model training
Build and maintain data pipelines for training, validation, and inference processes
Collaborate with data engineering teams on data ingestion, storage, and governance practices
Implement CI and CD pipelines for machine learning models and manage model lifecycle processes
Monitor model performance, identify drift, and apply retraining strategies
Integrate AI systems with enterprise applications, APIs, and cloud platforms
Design and implement retrieval augmented generation architectures using vector databases
Ensure solutions align with security, compliance, and responsible AI standards
Collaborate with product and business teams to translate requirements into technical solutions
Prepare proofs of concept, demonstrations, and conceptual designs

Requirements

Strong proficiency in Python and experience with NumPy and Pandas
Experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow
Hands on experience with large language models and generative AI platforms
Knowledge of machine learning concepts including natural language processing, embeddings, and model evaluation
Experience working with cloud platforms such as AWS
Experience with MLOps tools such as SageMaker or similar platforms
Understanding of REST APIs and microservices architecture
Experience with Docker and Kubernetes
Experience working with structured and unstructured data
Experience integrating AI solutions into enterprise systems

Nice to Have

Experience designing retrieval augmented generation architectures
Familiarity with serverless computing services
Experience with monitoring and observability tools for AI systems
Knowledge of data governance and compliance practices
Experience building proofs of concept and presenting technical solutions to stakeholders