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Iris Software Inc.

Gen AI - Engineer

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  • Posted 23 days ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Why Join Iris

Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions

Join Iris Software one of the fastest-growing IT services companies where you own and shape your success story.

About Us

At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us

At Iris, every role is more than a job it's a launchpad for growth.

Our Employee Value Proposition, Build Your Future. Own Your Journey. reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best both personally and professionally.

Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description

Must-Have Skills

  • Generative AI & ML: Machine Learning, Deep learning, LLMs, fine-tuning, prompt engineering.
  • Programming & Data: Python, PyTorch/TensorFlow, data preprocessing, API integration, data visualization.
  • MLOps & Deployment: MLflow, cloud AI platforms (Databricks/AWS/GCP/Azure).
  • Communication & Problem-Solving: Translating logistics challenges into AI solutions, cross-team collaboration.

Good-to-Have Skills

  • Advanced GenAI: Multi-modal and agentic AI, synthetic data generation.
  • Domain Knowledge: Logistics operations (routing, forecasting, warehouse & fleet management).
  • Optimization & Simulation: Reinforcement learning, digital twins, operations research.
  • Data Engineering: ETL pipelines, data lakes, Spark/Databricks.
  • Cloud & DevOps: CI/CD for ML, data security, and compliance.
  • Soft Skills: Innovation mindset, stakeholder engagement, clear documentation.

Required Skills & Experience

  • 5 years of hands-on experience with Python, Cloud AI Platform (Databricks / AWS / GCP / Azure).
  • Proven experience in building MLflow
  • Expertise in Machine Learning, Deep learning, LLMs, fine-tuning, prompt engineering
  • Strong analytical and problem-solving skills.
  • Good communication and documentation abilities.

Mandatory Competencies

Data Science and Machine Learning - Data Science and Machine Learning - Gen AI

Data Science and Machine Learning - Data Science and Machine Learning - AI/ML

Data Science and Machine Learning - Data Science and Machine Learning - Python

DevOps/Configuration Mgmt - Cloud Platforms - AWS

DevOps/Configuration Mgmt - Cloud Platforms - GCP

Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight

Data Science and Machine Learning - Data Science and Machine Learning - LLM

Data Science and Machine Learning - Data Science and Machine Learning - Pytorch

Artificial Intelligence - AI Tools - TensorFlow

Beh - Communication and collaboration

Perks And Benefits For Irisians

Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.

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About Company

Job ID: 132129957

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