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 its 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:

Senior AI Engineer

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 ..