0 Negotiable or Not Mentioned
Remote
122 days ago
riseuplabs.com
5 Applied 4 Pro Applied
Focuses on designing, implementing, and optimizing AI-driven workflows. This junior role involves working closely with senior engineers to automate repetitive tasks and integrate AI models into business processes, ensuring scalability and efficiency. The ideal candidate will be driven by innovation and keen to work on impactful products within our growing global tech team. This position is suitable for entry-level professionals looking to specialize in artificial intelligence and automation. This role is remote, allowing collaboration across various time zones and regions.
Key Requirements
Bachelor's degree in Computer Science, Engineering, or a related field.
Understanding of AI/ML concepts and automation principles.
Proficiency in at least one scripting language (e.g., Python).
Experience with workflow orchestration tools (e.g., Apache Airflow, Prefect).
Ability to design and implement robust automation pipelines.
0 Negotiable or Not Mentioned
Remote
86 days ago
earlyjobs.ai
14 Applied 10 Pro Applied
EarlyJobs is hiring a Sr AIOps Engineer specializing in AWS to lead our efforts in intelligent cloud operations. The primary focus of this role is to apply machine learning and advanced analytics to IT operations data to automate processes and ensure the highest levels of service availability. You will design and deploy scalable AIOps solutions that integrate seamlessly with our existing AWS infrastructure.
The ideal candidate will possess a strong engineering background and a deep understanding of AWS services. You will be tasked with identifying opportunities for automation and proactive monitoring, helping to transform traditional operations into a data-driven, automated environment. This is an excellent opportunity for a technical leader who wants to work at the intersection of cloud computing and AI.
Key Requirements
Extensive hands-on experience with Amazon Web Services (AWS).
Demonstrated experience in AIOps or advanced automation for IT operations.
High level of proficiency in Python scripting for automation.
Expertise in AWS monitoring and observability tools like CloudWatch.
Experience with containerization technologies such as Docker and Kubernetes.
0 Negotiable or Not Mentioned
Remote
86 days ago
earlyjobs.ai
15 Applied 11 Pro Applied
We are seeking a Sr AIOps Engineer with a focus on Azure to enhance our cloud operations and automation capabilities. In this role, you will be instrumental in implementing AI-driven operations to improve system reliability and performance. You will be responsible for building automated workflows, monitoring complex cloud environments, and leveraging data to predict and resolve operational issues before they impact the business.
This role requires a candidate who is deeply familiar with the Azure ecosystem and has a strong background in DevOps and SRE principles. You will be joining a team of innovators dedicated to pushing the boundaries of what is possible in cloud management. If you are passionate about automation, artificial intelligence, and cloud infrastructure, this is the perfect opportunity for you to make a significant impact.
Key Requirements
Deep expertise in Microsoft Azure cloud platform and services.
Proven experience in implementing AIOps strategies and tools.
Strong proficiency in scripting languages such as Python or PowerShell.
Experience with Azure Monitor, Log Analytics, and App Insights.
Knowledge of Infrastructure as Code (IaC) tools like Terraform or Bicep.
0 Negotiable or Not Mentioned
Remote
81 days ago
lucasgroupglobal.com
11 Applied 8 Pro Applied
Lucas Group is actively seeking experienced professionals in Artificial Intelligence, Machine Learning, and Intelligent Automation to connect with innovative organizations globally. These opportunities involve working on cutting-edge initiatives such as AI strategy, machine learning engineering, prompt engineering, and the development of LLM applications. Candidates will have the chance to explore roles in one of the fastest-growing sectors, contributing to enterprise AI transformations and data science projects. The positions are available across various regions including North America, Europe, Asia, the Middle East, Africa, and Oceania, with flexible work arrangements such as remote, hybrid, or on-site options.
As a candidate, you will be responsible for building, deploying, and supporting intelligent systems and AI workflows that solve real-world problems. Successful applicants will work across engineering, product, business, and executive teams to integrate AI models and optimize performance for production deployment. Lucas Group offers competitive compensation and significant long-term career growth potential. By submitting a single application, you gain access to multiple relevant opportunities within a network of companies leading the future of technology and digital transformation. Early applicants will receive priority consideration for these immediate hiring needs.
Key Requirements
Hands-on experience in AI, machine learning, deep learning, NLP, or automation.
Proficiency with tools and platforms such as Python, TensorFlow, and PyTorch.
Experience with LangChain, OpenAI, Gemini, Copilot, or Hugging Face.
Strong knowledge of SQL and various cloud AI services.
Ability to build, deploy, or support LLM-powered applications and AI workflows.
0 Negotiable or Not Mentioned
Remote
85 days ago
pragyuv.com
14 Applied 10 Pro Applied
We are seeking a highly experienced Senior R/Python Developer to join our team in a fully remote capacity. This role is ideal for a seasoned professional with over 8 years of experience who excels in both R and Python environments. You will be responsible for developing high-quality code, analyzing complex data sets, and contributing to our data science and engineering initiatives. The successful candidate will have the opportunity to work on cutting-edge projects while maintaining a flexible work-life balance from any location.
As a Senior Developer, you will play a pivotal role in the technical design and implementation of our software solutions. You will be expected to utilize your expertise in open-source technologies to build scalable and efficient applications. We require candidates to possess valid work authorization, such as H4 EAD, H1B with a valid I-94, or Green Card status. Your contributions will help drive innovation within our data engineering practices, ensuring high standards of performance and reliability across all development projects.
Key Requirements
8+ years of professional experience in software development and data analysis.
Expert-level proficiency in R programming for statistical modeling and visualization.
Advanced knowledge of Python for backend application development and automation.
Valid US work authorization such as H4 EAD, H1B (with valid I-94), or Green Card.
Strong background in Data Science principles and Data Engineering workflows.
0 Negotiable or Not Mentioned
Remote
91 days ago
infotreeservice.com
6 Applied 1 Casual Applied
We are seeking a dedicated Network Engineer I to join our technical team and manage sophisticated network infrastructures. The role involves working with TCP/IP, WAN/LAN systems, and providing high-level troubleshooting for routers, switches, and VPNs from vendors such as Cisco, Arista, and Palo Alto. You will also bridge the gap between networking and modern development by managing AWS and hybrid cloud environments. This position is ideal for a professional looking to leverage their technical skills in a flexible, remote setting. In addition to hardware management, you will drive efficiency through automation and scripting. By utilizing tools like Ansible, Puppet, and Chef, alongside scripting in Python or Perl, you will help automate repetitive tasks and optimize system performance. Successful candidates will have a Bachelor’s degree in Computer Science or a related field and a strong understanding of Linux/Unix environments. If you are passionate about network reliability and cutting-edge technology, we encourage you to apply.
Key Requirements
Bachelor’s degree in Computer Science, Electrical Engineering, or related field
Extensive experience with TCP/IP and WAN/LAN configurations
Expertise in troubleshooting Cisco, Arista, and Palo Alto hardware
Background in Cloud and DevOps specifically with AWS and hybrid environments
Proficiency in scripting using Python, Perl, and Unix shells
0 Negotiable or Not Mentioned
Remote
77 days ago
kanishkservices.com
11 Applied 8 Pro Applied
Kanishk Services Private Limited is seeking talented and motivated Python Developers to join our dynamic team. As a member of our engineering department, you will be responsible for building scalable backend systems, designing robust APIs, and developing innovative automation solutions. This role offers the opportunity to work in a fast-paced environment where you can contribute to high-impact projects and grow your technical skills alongside experienced professionals.
We are looking for candidates with 0 to 3 years of experience who have a solid foundation in Python and its associated frameworks like Django and Flask. The ideal candidate should be proficient in SQL, understand data structures, and have an interest in creating efficient code. Whether you prefer working remotely or in a hybrid model, this position provides the flexibility to perform your best while collaborating with a team dedicated to technological excellence.
Key Requirements
Proficient in Python programming language.
Hands-on experience with Django or Flask web frameworks.
Solid understanding of building and consuming RESTful APIs.
Strong knowledge of Data Structures and Algorithms.
Proficiency in SQL and relational database management.
~20,000 Mentioned
Remote
73 days ago
premagic.com
13 Applied 9 Pro Applied
Premagic is currently seeking a motivated and enthusiastic DevOps Intern to join their dynamic team. This remote role is designed for students or recent graduates from the 2025, 2026, or 2027 batches who are looking to kickstart their career in infrastructure and cloud automation. The successful candidate will work closely with the engineering team to support and improve software development lifecycles through modern DevOps practices. The role offers a great environment for learning and growth within the tech industry.
Candidates should possess a foundational knowledge of cloud environments, containerization tools like Docker, and continuous integration/continuous deployment (CI/CD) workflows. The stipend for this position ranges from ₹20,000 to ₹30,000 per month. This is an excellent opportunity to gain hands-on experience in a fast-paced tech environment while developing professional skills in Linux scripting and problem-solving. Apply today by sending your resume to the designated email to join our innovative workforce.
Key Requirements
Basic understanding of DevOps principles and methodologies.
Knowledge of cloud platforms such as AWS, Azure, or GCP.
Familiarity with CI/CD tools and pipeline automation processes.
Basic experience with Docker or other containerization technologies.
Proficiency in Linux environments and shell scripting basics.
0 Negotiable or Not Mentioned
Remote
63 days ago
fresherjobs.ai
5 Applied 4 Pro Applied
INFOX Consulting Inc. is seeking an experienced AI Engineering Leader to oversee advanced artificial intelligence initiatives. This role involves driving the technical vision, managing engineering teams, and ensuring the successful deployment of scalable AI solutions across global markets including North America and China. The ideal candidate will have a proven track record of innovation in the AI space and the ability to navigate complex engineering challenges while mentoring a diverse team of engineers.
As a leader, you will be responsible for defining technical strategies, optimizing model performance, and collaborating with business leaders to integrate AI capabilities into the company's product suite. You will play a pivotal role in maintaining the company's competitive edge in the evolving tech landscape. This position offers the flexibility of remote work while requiring high-level coordination with various international branches to deliver cutting-edge technology solutions.
Key Requirements
Proficiency in Python and machine learning frameworks
Extensive experience in AI/ML project leadership
Deep understanding of Large Language Models (LLMs) and Generative AI
Strong software architecture skills and design patterns
Experience in scaling AI models in production environments
0 Negotiable or Not Mentioned
Remote
74 days ago
intellyk.com
13 Applied 4 Ultra Applied
The Engineering AI/ML Manager is a hands-on technical leader responsible for delivering AI/ML solutions from design through production while managing a small team of engineers. This role balances people leadership, technical depth, and delivery accountability, making it ideal for a manager who still codes, reviews designs, and actively guides implementation. The role supports enterprise AI initiatives across machine learning, generative AI, LLM-based solutions, and data-driven automation, specifically aligned with healthcare and regulated industry standards.
Key responsibilities include leading the design, development, and deployment of AI/ML solutions in production environments and guiding architecture decisions for ML pipelines. The manager will mentor a team of AI/ML engineers both onshore and offshore, support sprint planning, and foster strong collaboration across engineering, data, and business teams. Additionally, the role involves overseeing the development of Generative AI, RAG pipelines, and promoting MLOps best practices such as CI/CD and model monitoring to ensure compliance with data governance and privacy regulations.
Key Requirements
7–10 years of overall engineering experience with 3+ years in AI/ML engineering.
2+ years of people or technical team leadership experience.
Strong hands-on experience with Python and ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Experience with cloud platforms, with a preference for Azure-based AI implementations.
Proven experience in ML model deployment and productionization within enterprise environments.