
Job Overview
Location
Chennai
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
March 19, 2026
Full Job Description
š Description
- ⢠As a Gen AI Engineer at PDI Technologies Inc., you will play a pivotal role in advancing the companyās mission to āConnect Convenienceā by designing, building, and validating intelligent AI-driven platform capabilities that empower leading convenience retail and petroleum brands with real-time market intelligence, loyalty programs, and shopper insights through innovative solutions like GasBuddy. Your work will directly contribute to scalable, reliable, and safe AI systems that enhance decision-making and operational efficiency for global clients.
- ⢠You will design, develop, and deploy generative AI solutions including large language models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and vector-based systems, integrating them into scalable platform services that enable automation, contextual insights, and intelligent decision-making across PDIās technology stack.
- ⢠You will establish rigorous evaluation frameworks for AI models, implementing automated testing strategies to assess accuracy, reliability, bias, and safety of AI-generated outputs, ensuring compliance with quality and ethical standards before deployment.
- ⢠You will build and maintain CI/CD pipelines with embedded continuous testing for AI components, leveraging QA automation expertise to validate model performance, data drift, and integration stability across development, staging, and production environments.
- ⢠You will collaborate closely with data scientists, software engineers, product managers, and DevOps teams to translate AI prototypes into production-ready features, ensuring seamless integration with existing platforms and adherence to architectural best practices.
- ⢠You will monitor and optimize AI system performance in production, tracking key metrics such as latency, hallucination rates, retrieval relevance, and user feedback, and initiating retraining or fine-tuning cycles based on empirical evidence.
- ⢠You will contribute to internal knowledge sharing by documenting AI model architectures, evaluation protocols, and testing methodologies, fostering a culture of transparency, reproducibility, and continuous learning within the AI engineering team.
- ⢠You will stay current with emerging trends in generative AI, including multimodal models, agentic systems, and prompt engineering techniques, evaluating their applicability to PDIās use cases and recommending innovation pathways.
šÆ Requirements
- ⢠Bachelorās or Masterās degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, with strong foundational knowledge in deep learning, natural language processing, and statistical modeling.
- ⢠Proven experience in designing, implementing, and deploying generative AI systems, including hands-on work with LLMs (e.g., GPT, Llama, Claude), RAG pipelines, and vector databases (e.g., FAISS, Pinecone, Weaviate).
- ⢠Solid background in Quality Engineering or QA automation, with expertise in designing test frameworks, writing automated tests (unit, integration, end-to-end), and integrating testing into CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
- ⢠Proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, and LlamaIndex for model development and experimentation.
- ⢠Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and microservices architecture for deploying scalable AI services.
- ⢠Strong analytical mindset with the ability to evaluate AI model outputs critically, define meaningful evaluation metrics (e.g., BLEU, ROUGE, faithfulness, relevance), and iterate based on quantitative and qualitative feedback.
šļø Benefits
- ⢠Competitive salary commensurate with experience, supplemented by performance-based bonuses tied to individual and company goals.
- ⢠Comprehensive health, dental, and vision insurance plans for employees and their dependents, including mental health wellness resources.
- ⢠Generous paid time off (PTO) policy, including vacation, sick leave, and company-observed holidays, promoting work-life balance.
- ⢠Opportunities for professional development through access to online learning platforms, conference sponsorships, and internal tech talks focused on AI innovation.
- ⢠Collaborative, inclusive work environment that values diversity, integrity, and continuous growth, with regular team-building activities and cross-functional projects.
- ⢠Remote-friendly work options with flexible hours, enabling employees to maintain productivity while managing personal commitments.
- ⢠Equity or stock-based compensation opportunities for eligible employees, aligning individual success with long-term company growth.
Skills & Technologies
About PDI Technologies Inc.
PDI Technologies Inc. provides enterprise software and cybersecurity solutions for the convenience retail and petroleum wholesale sectors. Its cloud platform integrates point-of-sale, back-office, loyalty, mobile payments, and fuel pricing, while its cybersecurity division delivers managed security, threat detection, and compliance services. Headquartered in Atlanta, Georgia, PDI serves more than 200,000 sites across 70 countries, processing over 30 billion transactions annually. The company was formed in 2021 through the merger of PDI and Cybera, continuing a legacy that began in 1983.
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