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Company Description
Founded in 2017 in Michigan, Giggso focuses on helping enterprises overcome challenges in digital transformation. As a Minority Business Enterprise (MBE), we provide innovative solutions driven by diverse perspectives and serve Fortune 500 clients globally by turning AI pilots into AI profit centers. Giggso specializes in the intersection of Governance, Risk, and Compliance (GRC) and Engineering to address governance challenges in AI. Our mission is to transform AI governance into a competitive advantage, enabling businesses to thrive in the era of AI. Learn more at www.giggso.com.
Role Description
This is a full-time on-site role for an AI/ML Engineer based in Chennai. The AI/ML Engineer will be responsible for developing, engineering, and optimizing machine learning models and algorithms to solve critical business problems. Daily responsibilities include working on pattern recognition, designing neural networks, analyzing data using advanced statistical techniques, and implementing algorithms to enhance AI systems. The engineer will collaborate with cross-functional teams to ensure alignment with AI-driven goals and governance standards.
Key Technical Requirements
Strong Python programming expertise
Advanced knowledge of AI/ML (Supervised, Unsupervised, GenAI, LLMs, NLP)
Experience with PyTorch, TensorFlow, Keras, NLTK, spaCy
Linux systems proficiency
API design for real-time, scalable applications
Cloud experience – AWS / Azure / GCP
End-to-end data pipelines (Docker, Kubernetes)
CI/CD, DevOps, test automation
Database experience – Postgres, Redshift, MSSQL
Data integration across logs, APIs, files, and databases
Strong statistical & quantitative skills
Education
What We're Looking For
If you're excited about applying GenAI, ML, DL, and NLP to solve business-critical challenges at scale, we'd love to connect!
Interested candidates can send in thier resume to [Confidential Information]
Job ID: 143292541
Skills:
Deep Learning, Spring Boot, Natural Language Processing, Java, DevSecOps, AI ML, Github, Image Processing, Scripting, Containers, Machine Learning, Kubernetes, Apis, GitHub Actions, Google BigQuery, cloud-native platforms, CI CD, reinforcement learning, generative AI, intelligent process automation
Skills:
Docker, Pyspark, Python Programming, Kubernetes, Deploying ML models into production, ML algorithms and statistics, AWS or GCP cloud
Skills:
Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Deep Learning, Python Programming, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks
Skills:
test automation, Tensorflow, Devops, Nltk, Pytorch, Docker, Python Programming, Keras, Kubernetes, Strong statistical quantitative skills, CI CD, Cloud experience – AWS Azure GCP, End-to-end data pipelines, spaCy, AI ML Supervised Unsupervised GenAI LLMs NLP, API design for real-time scalable applications, Linux systems, Database experience – Postgres Redshift MSSQL, Data integration across logs APIs files and databases
Skills:
Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Deep Learning, Python Programming, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks
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