At https://jobeax.com/link/zZJkiqRMKprOecn8, we're redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and more. We're looking for a passionate Python Developer who's ready to work on cutting-edge, scalable, cloud-native platforms and help build the next generation of AI-driven products.
Your Responsibilities Design, develop, and maintain robust Python applications. Build & consume RESTful and GraphQL APIs using industry best practices. Containerize microservices with Docker and collaborate on Kubernetes-based deployments. Implement background task queues using Celery, with smart retry and alerting mechanisms. Set up WebSocket consumers via Django Channels for real-time updates. Configure infrastructure on AWS (EC2, S3, RDS), and manage monitoring via CloudWatch. Write automated tests using pytest or unittest with 80% coverage. Integrate external services using webhooks (Stripe, Razorpay, etc.). Contribute to CI/CD pipelines and follow Git best practices. Participate in tech-talks, team learning sessions, and regular code reviews.
Required Qualifications
Bachelor's degree in Computer Science or related field.
2–5 years of experience in Python development.
Strong grip on Python standard libraries and tools (NumPy, etc.).
Experience with API design and integration (REST/GraphQL).
Hands-on with Docker and one major cloud platform (AWS or Azure).
Skilled in automated testing, Git workflows, and CI/CD practices.
Excellent communication and analytical thinking.
Nice to Have Experience with Django and Celery. Familiarity with AI/ML tools (TensorFlow, Keras, PyTorch). Understanding of ML concepts like neural networks & computer vision. Background in data analysis, statistics, or applied mathematics. Contributions to open-source projects are a plus!
Why Join Us Competitive compensation and perks Work on impactful, innovative AI applications A collaborative and learning-focused work culture Opportunity to grow alongside a high-performing tech team
... orchestration techniques, and safety best practices. Contribute to internal documentation and playbooks for building AI agents. Bachelor's degree in Computer Science, AI/ML, or related field. - 1–3 years of experience in AI/ML, back-end engineering, or LLM-based application development. - Proficiency in Python; Understanding of ...
... Azure. Your primary focus will be on closing identified AI platform capability gaps by engineering production-ready, reusable GenAI components across the full AI stack - spanning the Decision & Orchestration Layer (RAG, Agent Orchestration, Semantic Router), the Execution Runtime Layer (LLM Gateway, ML Serving, Tool & Integration ...
... messaging protocols.- Experience with Kubernetes / Kubeflow for ML https://jobeax.com/link/iTdK4LCtrwE4D7Px We Offer:- Opportunity to work on cutting-edge edge AI and real-time vision products.- A collaborative, hands-on engineering culture based in Chennai.- Ownership of the full model lifecycle, from research to production. ...
... mapping, water stress, and biodiversity metrics. - Build Python-based EO pipelines for large-scale agricultural monitoring (raster processing, zonal statistics, ML classification, time-series modeling). - Integrate outputs with downstream systems (dashboards, APIs, ML models) to support digital agronomy and sustainability ...
... Matter Experts to deliver AI-driven features. Monitor model and agent performance and participate in troubleshooting and continuous improvements. Write clean, maintainable, and well-tested Python code following engineering best practices. Stay updated with the latest advancements in Machine Learning, LLMs, and Agentic AI technologies. ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
... Master's degree in Data Science, Computer Science, or a related field. - 3-5 years of experience in data science or a related discipline. - Proficiency in generative AI and large language models. - Strong programming skills in languages such as Python or R. - Experience with data visualization tools and techniques. Nice to have ...
... offerings. - This position offers a unique opportunity to shape the technical direction of our AI initiatives while working in a high-impact, hybrid https://jobeax.com/link/1eyrmHNst0oOnGC1 Skillset : - Python- AI tools- LLMs- AWS Bedrock/Azure Open AI- MCP servers- Agentcore or similar- LangChain/LangGraph (ref:hirist.tech)
... that AI-driven outputs align with specific industry requirements and regulatory standards.- Establish rigorous evaluation frameworks and monitoring protocols to maintain model accuracy, mitigate hallucinations, and ensure the ethical deployment of AI systems.- Mentor junior engineers and foster a culture of technical excellence ...
... business and technical requirements. Implement secure platforms with data governance in mind. Play a key role in automation and building industry leading solutions against architectural best practices. Deliver data migrations between legacy & modern platforms Design & deliver data warehousing solutions and key data engineering ...
... looking for an ML Engineer who cares as much about latency, reliability, and production performance as model quality, and who is comfortable working across both Python and Go . What You'll Do Design, train, and evaluate threat detectors using classifiers, embedding-based models, fine-tuned LLMs, and rule/ML hybrid approaches. ...
... experience in semiconductor engineering, ideally with exposure to EDA (Electronic Design Automation) tools, semiconductor design flows, or similar hardware-adjacent domains. - Strong software engineering fundamentals — Python and/or C++, with the ability to work in complex, long-lived codebases. - Experience with hardware description/design ...
... fair game — you reason about the feed, the geometry, and the physics behind it rather than any single product. You work shoulder-to-shoulder with Product, Engineering, and Solutions to certify device feeds for pilots before we commit to a client, and you keep scanning the market so we adopt new sensing hardware ahead of ...
... with the ability to build scalable, production-ready AI https://jobeax.com/link/iKfkA8JidHXTKcLW Skills & Experience : - 5 - 6 years of professional software engineering/full-stack development experience.- Strong hands-on programming experience in Python, preferably Django.- Strong experience with JavaScript/TypeScript and ...
... of Associate Director, Data and Analytics Specialist In this role, you will: - Design, develop and implement enterprise-grade full-stack applications using Python for backend services and React JS for frontend development, following coding standards and engineering best practices. - Build and deploy AI/ML solutions in ...
... in shaping the future of healthcare with AI Explore opportunities at https://jobeax.com/link/l2ilzLBJSLK6rA75 and drive innovation with #YouToThePowerOfAI. The AI Engineer is an ML engineer responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems ...
... analysis in compiler design. - Proficiency in C++, Python, or other programming languages commonly used in compiler development. - Open-source contributions to AI software frameworks and libraries is a plus - Demonstrated experience leading and mentoring engineering teams with successful project delivery skills MLIR Pytorch ...
... Python services to support model serving and data processing, ensuring low latency and high availability for end-users.- Collaborate with cross-functional engineering teams to troubleshoot production issues and refine MLOps best practices, driving continuous improvement in our development lifecycle.- Maintain comprehensive ...
... LLMs, SLMs, agentic AI, machine learning, AI safety, and responsible AI . WHAT MAKES YOU A GREAT FIT - 3+ years of professional experience in Machine Learning, AI/ML Engineering, Data Science, or a related field. - Strong hands-on experience with Machine Learning, LLMs, and SLMs . - Mandatory experience with LangChain and ...
... and deploy high-quality Java backend applications that processed millions of events on daily basis. Collaborate with product managers, designers, and backend engineers to deliver seamless mobile experiences. Write clean, modular, and testable code with a strong emphasis on maintainability and performance. Debug, troubleshoot, ...