Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.
To be successful as a Machine Learning/Artificial Intelligence Engineer you should have experience with:
Good years of experience in IT with background in Development, Machine Learning and/or Data analysis.
Should have hands-on experience of NLP/AI/ML tool & technologies - GPT, BERT or other language models.
Should have experience in building GenAI applications, RAG based architectures.
Experience in Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems.
Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training.
Deployment: Build and deploy Al/ML solutions into production environments using appropriate tools and frameworks.
Knowledge of one of the cloud platforms is must : AWS/AZURE.
Collaboration: Work closely with product managers, data engineers, and software developers to integrate Al capabilities into products and ensure alignment with business objectives.
Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed.
Strong Affinity to stay informed on the latest trends, tools and research in Al and machine learning space .
Support and contribute to data collection efforts, as needed.
Verify data quality to ensure accurate analysis and reporting.
Help identify the business data needed to produce the most useful insights and future analytics.
Utilize data to make actionable recommendations at all levels.
Monitor data management processes to ensure data quality and consistency.
Monitor system performance, data integrity and usage metrics.
Contribute to data dictionary, standards, training, and ongoing updates.
Some other highly valued skills may include:
Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms.
Experience in setting up DevOps pipelines.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in Pune.
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