Senior AI Engineer

Job Title: Senior AI Engineer

Location: Bengaluru, India - (Hybrid)

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary:

As a Senior AI Engineer at Reltio, you will be a core part of the team responsible for building intelligent systems that enhance data quality, automate decision-making, and drive entity resolution at scale. You will work with cross-functional teams to design and deploy advanced AI/ML solutions that are production-ready, scalable, and embedded into our flagship data platform.

This is a high-impact engineering role with exposure to cutting-edge problems in entity resolution, deduplication, identity stitching, record linking, and metadata enrichment.

Job Duties and Responsibilities:

• Design, implement, and optimize state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
• Work with structured, semi-structured, and unstructured data to extract signals and engineer intelligent features for large-scale ML pipelines.
• Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
• Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
• Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
• Conduct deep dives into customer data challenges and apply innovative machine learning algorithms to address accuracy, speed, and bias.
• Actively contribute to research and experimentation efforts, staying updated with latest AI trends in graph learning, NLP, probabilistic modeling, etc.
• Document designs and present outcomes to both technical and non-technical stakeholders, fostering transparency and knowledge sharing.

Skills You Must Have:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field. PhD is a plus.
• 5+ years of hands-on experience in developing and deploying machine learning models in production environments.
• Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
• Strong understanding of ML fundamentals, including classification, clustering, feature selection, hyperparameter tuning, and evaluation metrics.
• Demonstrated experience working with entity resolution, identity graphs, or data deduplication.
• Familiarity with containerized environments (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)
• Strong debugging, analytical, and communication skills with a focus on delivery and impact.
• Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science

Skills Good to Have:

• Experience with knowledge graphs, graph-based ML, or embedding techniques.
• Exposure to deep learning applications in data quality, record matching, or information retrieval.
• Experience building explainable AI solutions in regulated domains.
• Prior work in SaaS, B2B enterprise platforms, or data infrastructure companies.

Why Join Reltio?*

• Health & Wellness:
  • Comprehensive Group medical insurance, including your parent,s with additional top-up options.
  • Accidental Insurance
  • Life insurance
  • Free online unlimited doctor consultations
  • An Employee Assistance Program (EAP)
• Work-Life Balance:
  • 36 annual leaves, which include Sick leaves – 18, Earned Leaves - 18
  • 26 weeks of maternity leave, 15 days of paternity leave
  • Very unique to Reltio - 01 week of additional off as recharge week every year globally
• Support for home office setup:
  • Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal. And many more…..

Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.