We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy scalable machine learning and artificial intelligence solutions. The ideal candidate will have strong expertise in machine learning, MLOps, data engineering, and Generative AI technologies, with a proven track record of deploying production\-grade AI systems.
Key Responsibilities
Design, develop, and implement machine learning models and AI\-driven solutions to address business challenges.
Build and maintain scalable ML pipelines for model training, validation, deployment, and monitoring.
Develop and optimize predictive models using statistical and machine learning techniques.
Collaborate with cross\-functional teams, including data engineers, product managers, and business stakeholders, to deliver AI\-powered solutions.
Deploy, monitor, and maintain machine learning models in production environments.
Work with structured and unstructured datasets to extract insights and improve model performance.
Implement MLOps best practices to streamline model lifecycle management and ensure operational efficiency.
Develop and integrate NLP, Large Language Model (LLM), and Generative AI applications.
Create dashboards and reports to communicate model performance and business insights.
Stay updated on emerging AI, ML, and Generative AI technologies and recommend innovative solutions.
Required Skills \& QualificationsTechnical Skills
7\+ years of experience in Artificial Intelligence, Machine Learning, or related roles.
Strong proficiency in Python and experience developing scalable AI/ML applications.
Expertise in traditional and modern machine learning techniques, including:
Regression
Classification
Clustering
Ensemble Methods
Deep Learning
Hands\-on experience deploying machine learning models into production environments.
Experience with MLOps platforms such as:
DataRobot
Azure ML
Abacus.AI
Similar MLOps tools
Strong SQL skills and understanding of database design and data structures.
Preferred Qualifications
Experience with model monitoring, model governance, and AI deployment frameworks.
Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
Exposure to distributed computing frameworks and big data technologies.
Strong analytical, problem\-solving, and communication skills.
Pay: ₹2,500,000\.00 \- ₹3,500,000\.00 per year
Work Location: Hybrid remote in Bengaluru, Karnataka