69000 Deployment Jobs - Page 44

Role: Automation Engineer - Ansible playbooks Mode of work: Remote Work experience: 7 years - 11 years Type of employment: Contract role / Permanent role About the Role : We are seeking a highly motivated and technically proficient Automation Engineer to drive innovation and reliability across our Dedicated Instance platform. In this role, you will design and implement automation solutions that streamline operations, increase observability, and accelerate the delivery of reliable, scalable collaboration services to our enterprise customers. You will collaborate with cross-functional teams and apply modern DevOps principles to improve deployment efficiency, system visibility, and incident response across the Cisco Dedicated Instance environment. Cisco Unified Communications, Collaboration, or Dedicated Instance platforms Key Responsibility: Develop Ansible playbooks to automate the configuration and management of Cisco collaboration infrastructure. Design , configure, and maintain Grafana dashboards for real-time infrastructure, application, and business metric visualization. Create and tune alerting rules to proactively detect performance degradation and operational anomalies. Build advanced Splunk queries , dashboards, and reports to support incident detection and operational troubleshooting. Build, deploy, and manage containerized applications using Docker and maintain orchestration via Kubernetes manifests. Develop and manage CI/CD pipelines to automate build, test, and deployment processes using tools such as Jenkins , GitLab CI , or GitHub Actions . Implement infrastructure as code (IaC) best practices, driving automation, testing, and continuous delivery throughout the engineering lifecycle. Partner with engineers, SREs, and product teams to integrate automation into all phases of the Dedicated Instance service lifecycle. Qualification: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Hands-on experience in automation, DevOps, or infrastructure engineering roles. Strong proficiency with Ansible , Grafana , Splunk , Docker , Kubernetes , and CI/CD pipelines . Demonstrated ability to develop scalable automation and monitoring solutions in enterprise environments. Excellent troubleshooting and scripting skills (e.g., Python, Bash, or similar). Effective communication skills and ability to work across teams in a fast-paced, agile environment. Preferred Qualifications: Experience with Cisco Unified Communications, Collaboration, or Dedicated Instance platforms. Familiarity with infrastructure monitoring, logging, and observability tools. Experience integrating security and compliance into automation pipelines. Certifications in DevOps, cloud platforms (e.g., AWS, Azure), or Cisco technologies are a plus.

It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world. Job Description Yahoo is a global media and tech company. We reach nearly 900M people around the world, bringing them closer to what they love—from finance and sports, to shopping, gaming and news—with the trusted products, content and tech that fuel their day. For partners, we provide a full-stack platform for businesses to amplify growth and drive more meaningful connections across advertising, search and media. About The Team Yahoo’s Global Network Infrastructure team (GNIS) is responsible for the core Network Infrastructure and shared services required to support all Yahoo services globally, including our CDN, Sports, News, Finance and Weather media channels, advertising engines, video and search. We design and build scalable, high-performance networks, provide long-term storage strategy and automation, manage global name resolution and routing, provide capacity and performance consultation for Yahoo properties, manage Yahoo-wide UNIX distributions & components and connectivity to large scale public cloud providers. About The Role Work on projects of diverse scope and complexity while focusing on the availability, performance, scalability and resiliency of Yahoo’s production network environments, as well as the theoretical and practical application of industry defined networking standards. Skills/Knowledge/Abilities: -3+ years of experience -Experience with large scale global network (production, backbone and corporate) environments. -Experience maintaining enterprise LAN/WAN, wireless, authentication, and VPN infrastructures -Knowledge of current networking systems including routers, switches, firewalls, VPNs, load-balancers and all IP-based protocols -Advanced level experience with Juniper, Cisco and Ciena required -Strong knowledge in TCP/IP, L2/L3 protocols, LAN, Spanning-tree, WAN, Metro, IPv4, IPv6, BGP, ISIS, OSPF, MPLS, QoS/CoS, MACSec -Strong hands on knowledge and experience in layer 1 - Fiber Optic, OTDR, BERT, WDM, ROADM, etc. -Strong working knowledge of all OSI Layers focusing on the network stack - TCP/IP, HTTP, DNS, MPLS-TE, VXLAN/EVPN, and Anycast concepts -Experience writing automation code in at least one of the following: Python, Perl, Javascript, JS/web frameworks and XML+xpath -Excellent communication and written skills, along with network diagramming and network documentation knowledge -Create the SOP’s and automate repeatable operational work Responsibilities: -Help resolve complex network infrastructure issues in a tier 2-3 engineering capacity. -Support network up-time and health; which is the monitoring, troubleshooting, and maintaining of network hardware and software required to operate complex production networks -Support network delivery; which is the design, deployment, scaling, and evolution of complex production networks. -Work at each tier of the network OSI model, scripting and designing advanced tools and automations to support the deployment and operation of the network, connecting disparate network architectures using multiple routing protocols, and network and application monitoring. -Apply knowledge of IP routing protocols including BGP, IS-IS, OSPF, IP Multicast, MPLS, etc. -Implement and support complex network solutions in a hybrid O&O datacenter and public cloud environment -Conduct network capacity management, performance tuning, and troubleshooting. -Collaborate with architecture, design, tools, and infrastructure teams to develop sound automation solutions -Participate and drive postmortem discovery to help troubleshoot design issues and find practical solutions to address barriers, enabling forward movement in the evolution of the network. -Perform hardware and software refreshes -Document and update policies and procedures -Mentor junior staff members on day-to-day operations, analytic skills, and network technologies Important notes for your attention Applications: All applicants must apply for Yahoo openings direct with Yahoo. We do not authorize any external agencies in India to handle candidates’ applications. No agency nor individual may charge candidates for any efforts they make on an applicant’s behalf in the hiring process. Our internal recruiters will reach out to you directly to discuss the next steps if we determine that the role is a good fit for you. Selected candidates will go through formal interviews and assessments arranged by Yahoo direct. Offer Distributions: Our electronic offer letter and documents will be issued through our system for e-signatures, not via individual emails. Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response. Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements. If you’re curious about how this factors into this role, please discuss with the recruiter. Currently work for Yahoo? Please apply on our internal career site.

Skills Sets: Knowledge of software testing theory. Comfortable in developing test automation frameworks from scratch and maintaining existing frameworks. 6+ years of experience in software testing , manual and automated Strong experience in different testing practices (from unit to load to endurance to cross-platform) specifically integrated within CI/CD. Experience working with CI/CD pipelines and monitoring tools (e.g. Jenkins, TeamCity, Kibana, Grafana, etc.). Knowledge with Bitbucket, K8s, Docker Knowledge of UI testing, REST protocol and microservice architecture Mobile QA Engineering requirements Espresso, XCUITest Testrail Bitrise, Jenkins Charles Proxy Postman and API testing (e.g., Rest Assured) BrowserStack Strong experience in Java/Kotlin, Swift , as well as its usage under a CI/CD pipeline. Ability to work in an agile environment, engaged in Scrum Ability to work in an autonomous, self-responsible and self-organised way. Able to effectively communicate in English . Responsibilities: Take ownership and responsibility for the design and development of all aspects of testing. Work on acceptance criteria and test scenarios with the Product Owner and development team. Design, execute, and maintain test scenarios and automation capabilities for all test levels and types (e.g., automated, regression, exploratory, etc.). Create and optimise test frameworks and integrate them into deployment pipelines. Participate in the code review process for both production and test code to ensure all critical cases are covered. Monitoring test runs, application errors and performance. Making information flow, keeping the team informed and being a stakeholder in releases and defect tracking. Share the best testing and quality practices and processes across the project. Promote and coach the team towards a quality-focused mindset. Influence and lead the team towards continuous improvement and best testing practices. Be the reference of the QA Center of Practice , promoting their practices and influencing their strategy, bringing your team experience into their plan.

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Azure CI/CD Engineer (Linux) Location: Bangalore/Hyderabad Type: Contract / Full-Time Experience: 6+ Years We are looking for an Azure CI/CD Engineer with strong expertise in Linux-based environments to design, implement, and maintain CI/CD pipelines for cloud-based applications. Key Responsibilities: Design, configure, and manage Azure DevOps CI/CD pipelines for Linux environments. Build, deploy, and automate application releases using Azure Pipelines , YAML , and Linux shell scripting . Integrate automated testing, security scans, and monitoring tools into CI/CD workflows. Manage infrastructure as code (IaC) using tools like Terraform or ARM templates . Collaborate with development teams to streamline builds, deployments, and environment provisioning. Troubleshoot and resolve build, deployment, and pipeline issues in production and staging environments. Required Skills: 6+ years of experience in CI/CD, DevOps, and automation. Strong hands-on experience with Azure DevOps in Linux environments. Proficiency in Shell scripting, Bash, and YAML . Knowledge of containerization (Docker, Kubernetes) and deployment best practices. Experience with monitoring tools ( Prometheus, Grafana , or similar). Familiarity with Git and branching strategies. Nice to Have: Azure certifications (AZ-400, AZ-104). Knowledge of security best practices in CI/CD pipelines. Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: ₹110,000.00 - ₹120,000.00 per month Experience: Azure: 6 years (Required) CI/CD: 4 years (Required) Linux: 6 years (Preferred) Location: Bangalore, Karnataka (Required) Work Location: In person

Position: AWS Solution Architect Experience: 14+ years Location: Pune Role Summary: We are seeking an experienced and customer-facing AWS Solution Architect to lead end-to-end AWS and DevOps solution design, development, and delivery. This role will act as the primary interface with AWS (OEM) to co-create solution offerings, stay aligned with the AWS partner ecosystem, and ensure seamless project execution for customers. The ideal candidate will combine deep technical expertise with strong customer relationship skills and project delivery ownership . Key Responsibilities: 1. Solution Design & Architecture Lead the architecture, design, and implementation of scalable, secure, and high-performance AWS cloud solutions for diverse customer needs. Design DevOps-enabled architectures , incorporating CI/CD pipelines, infrastructure as code, automation, and monitoring solutions. Translate customer business requirements into detailed technical architectures, roadmaps, and implementation plans. Select optimal AWS services for use cases, balancing cost, performance, security, and scalability. 2. AWS OEM Engagement Act as the primary point of contact with AWS partner and OEM teams to co-create joint go-to-market solution offerings. Participate in AWS partner programs, competency assessments, and co-sell initiatives. Stay updated on AWS product releases, services, and partner incentives to incorporate into solution offerings. Collaborate with AWS Partner Development Managers and Solution Architects to align on technology roadmaps and certifications. 3. Customer Engagement & Technical Leadership Serve as the go-to technical advisor for AWS and DevOps engagements with customers. Lead technical discovery workshops, solution presentations, and proof-of-concepts (POCs). Build trusted advisor relationships with customer CXOs, architects, and technical leads. Provide thought leadership to customers on AWS best practices, cloud transformation strategies, and cost optimization. 4. Pre-sales and Delivery Ownership Interface with Customers for pre-sales activities, solutioning with conviction, own pre-contract engagement cycle and expert level interface with OEM/ Customers Take end-to-end ownership of AWS and DevOps project delivery — from requirements gathering and design to deployment and handover. Collaborate with delivery teams to ensure solutions are implemented as designed, on time, and within budget. Define and enforce delivery governance practices, ensuring quality, performance, and compliance with SLAs. Manage delivery escalations, risks, and change requests. 5. Best Practices, Standards & Enablement Define and evangelize AWS and DevOps best practices internally and for customers. Develop reusable solution blueprints, reference architectures, and technical assets. Mentor engineering teams, guiding them in implementing AWS and DevOps solutions effectively. Contribute to capability building, including certifications, training programs, and practice growth. Required Skills & Experience: 14+ years of IT experience, with at least 5+ years in AWS architecture & solution delivery . Proven experience in customer-facing solution architecture and project delivery leadership . Strong knowledge of AWS core services: EC2, S3, VPC, RDS, Lambda, ECS/EKS, CloudFormation/Terraform, IAM, CloudFront, and related services. Experience with DevOps tools & practices : Jenkins, GitLab CI/CD, Docker, Kubernetes, Ansible, Terraform, and monitoring tools like CloudWatch, Prometheus, Grafana. Demonstrated ability to interface with OEMs (preferably AWS) for joint solutioning, co-sell programs, and go-to-market strategies. Excellent communication, presentation, and stakeholder management skills. AWS Certification(s) required: AWS Certified Solutions Architect – Professional (mandatory) AWS Certified DevOps Engineer – Professional (preferred) Familiarity with multi-cloud and hybrid cloud strategies. Experience with security and compliance frameworks (ISO 27001, SOC 2, HIPAA, GDPR). Exposure to container orchestration, serverless architectures, and AI/ML services on AWS. Success Measures: Positive customer satisfaction (CSAT) scores and repeat business from AWS engagements. Increased AWS OEM alignment through co-branded solutions and partner program milestones. Successful end-to-end delivery of AWS and DevOps projects with minimal variances in cost, scope, and schedule. Team enablement and growth in AWS certifications and delivery capabilities.

Role Summary The Enterprise Cloud Analyst L2 will manage and optimize AWS and Azure cloud environments, ensuring high availability, security, and cost efficiency. The role involves provisioning, monitoring, and supporting both public and private cloud infrastructure, working closely with cross-functional teams to deliver reliable, scalable solutions. The position is part of the Infrastructure Services Team, supporting business objectives through world-class infrastructure operations. Responsibilities Manage AWS/Azure VM environments, applying best practices for deployment and maintenance. Provision, monitor, and automate using Terraform, CloudFormation, Docker, Puppet, and Python scripts. Support public/private cloud migrations and optimize system performance. Implement security policies, capacity planning, and cost optimization strategies. Use monitoring tools (Nagios, New Relic, AWS CloudWatch, and Grafana) for proactive issue resolution. Collaborate with internal teams to ensure timely project delivery. Maintain system documentation and participate in on-call rotations. Skills Experience 5+ years in cloud infrastructure management (AWS Azure). Strong knowledge of Microsoft services (AD, DNS, DHCP, Azure AD) and Linux administration. Database experience (MSSQL, MySQL) with monitoring and maintenance skills. Proficiency in Python, Shell, and PowerShell scripting. Familiarity with DevOps tools, automation, and middleware technologies. Experience with on-premise to cloud migrations and data center infrastructure. Strong communication, teamwork, and problem-solving abilities. Certifications Required: RedHat Certification, AWS Certified Solutions Architect Desirable: AZ-104 Microsoft Azure Administrator, MCSE Cloud Platform Infrastructure This job is provided by Shine.com

Sr. Forward Deployed Engineer (Voice AI Agents) About Our Client: Our client is a tech-enabled outsourcing platform that integrates AI with human expertise to deliver exceptional customer experiences. Their services—ranging from telecalling to sales and support—leverage automation and trained professionals to drive efficiency, reduce costs, and scale business growth across industries. Job Description: Sr. Forward Deployed Engineer (Voice AI Agents) Location: Sec 3, Noida Experience: 2-4 Years Qualification: Bachelor's degree in engineering or a related field About the role: As a Sr. Forward Deployed Engineer you’ll work on delivering world class Voice AI Agents for our customers. You will work in AI-native teams & will be expected to move at the speed of thought. You’ll leverage the company's platform to configure, fine-tune & architect state of the art AI Agents. You will act as a conduit between product, customer success & engineering teams. You’ll work very closely with customers to make AI Agents a BIG success for them. Responsibilities: Partner with sales to engage clients to gather requirements, rapidly prototype demos, and present system designs. Become go-to experts on building voice AI solutions, especially LLM prompting tips & tricks. Own full life cycle of building agents. Customer collaboration > Defining Agent outcomes > Agent Config & Prompt design > Testing > Deployment & data pipelining > Monitoring > Iterate. Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g. CRMs, ERPs, scheduling tools). Travel & work from customer office to fastrack AI Agent deployments. Act as a technical conduit between customers needs & Company’s platform. Codify reusable patterns into tools or platform components. Translate field feedback into actionable product and GTM recommendations. Develop runbooks, code templates, and training sessions for customer facing teams, ensuring self-sufficiency post-handoff. Requirements: AI-native mindset. Strong demand side thinker (JTBD) with product taste. You are not merely implementation focussed. 2-4 years of experience in software development & AI applications. Strong hold over at least one programming language. Solid understanding of prompt engineering patterns. Strong communication and presentation skills. Ability to understand and communicate technical concepts to both technical and non-technical audiences. Comfortable working fullstack. Self-starter with the ability to work independently and as part of a team. You possess a T-shaped breadth and depth skill set required to dive deep into any subject and coordinate between Sales, Customer Success, Operations, Product and Engineering to figure out solutions. Familiarity with the relevant domains would be a plus (AI Agents, RAGs, Python, data security etc). About Hireginie: Hireginie is a prominent talent search company specializing in connecting top talent with leading organizations. We are committed to excellence and offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.

Company Description Intellect Design Arena Ltd is a leading financial technology company that provides advanced solutions for financial institutions in 57 countries. With three decades of domain expertise, Intellect offers a comprehensive range of banking and insurance technology products. Their innovative enterprise platform, eMACH.ai, supports over 325+ customers worldwide. Intellect has a strong focus on Design Thinking, underscored by their 8012 FinTech Design Center, and is committed to driving digital transformation in the financial sector. Role Description This is a full-time on-site role for a Senior DevOps Engineer based in Noida. The Senior DevOps Engineer will be responsible for the design, development, and maintenance of the company’s CI/CD pipelines, managing cloud infrastructure, automating deployment processes, monitoring systems, and ensuring security protocols are meticulously followed. They will collaborate closely with software development and IT operations teams to streamline operations and improve overall system reliability and performance. Qualifications Experience with CI/CD tools and processes, such as Jenkins, GitLab, or Travis CI Strong knowledge of cloud services and infrastructure, with a focus on AWS, Azure, or Google Cloud Platform Proficiency in scripting languages, such as Python, Bash, or PowerShell Experience with configuration management and infrastructure-as-code tools like Ansible, Terraform, or Chef Strong understanding of monitoring and logging tools, such as Prometheus, Grafana, or ELK Stack Excellent problem-solving skills and the ability to troubleshoot complex issues Strong communication skills and the ability to work collaboratively in a team environment Bachelor's degree in Computer Science, Engineering, or a related field Experience in the financial technology sector is a plus

Job Title: AI/Conversational Agent Specialist Location: Delhi Experience: 1–3 years (or as suitable) Job Overview: We are looking for an AI/Conversational Agent Specialist to design, implement, and manage intelligent virtual agents and conversational AI solutions. The candidate will work with cutting-edge Agentic AI platforms and tools to create advanced, automated conversational workflows. Key Responsibilities: • Develop, configure, and maintain conversational AI agents using platforms such as Cognigy, Dialogflow, VAPI etc. • Research and evaluate access to Agentic AI resources, APIs, and relevant integrations. • Design and implement AI-driven workflows and automations for customer support, lead generation, and internal processes. • Test, optimize, and monitor AI agent performance, ensuring high accuracy and user satisfaction. • Collaborate with stakeholders to gather requirements and translate them into AI/agent solutions. • Stay updated with the latest advancements in conversational AI and agentic AI technologies. • Provide technical guidance on integration of AI agents with existing systems or third-party platforms. Required Skills & Qualifications: • Hands-on experience with tools like Cognigy, Dialogflow, VAPI (or similar conversational AI platforms and tools). • Strong understanding of AI, NLP (Natural Language Processing), and conversational design principles. • Knowledge of APIs, webhooks, and integrating AI agents with third-party applications. • Experience in designing chatbots, voice bots, and other AI-driven agent workflows. • Strong problem-solving skills and attention to detail. • Good communication skills to document workflows and interact with stakeholders. Preferred: • Prior experience in Agentic AI concepts and implementation. • Understanding of advanced AI models, prompts, and agent orchestration. • Familiarity with cloud platforms and deployment of AI solutions.

CodelogicX is a forward-thinking tech company dedicated to pushing the boundaries of innovation and delivering cutting-edge solutions. We are seeking a Senior DevOps Engineer with at least 5 years of hands-on experience in building, managing, and optimizing scalable infrastructure and CI/CD pipelines. The ideal candidate will play a crucial role in automating deployment workflows, securing cloud environments and managing container orchestration platforms. You will leverage your expertise in AWS, Kubernetes, ArgoCD, and CI/CD to streamline our development processes, ensure the reliability and scalability of our systems, and drive the adoption of best practices across the team. Key Responsibilities Design, implement, and maintain CI/CD pipelines using GitHub Actions and Bitbucket Pipelines. Develop and manage Infrastructure as Code (IaC) using Terraform for AWS-based infrastructure. Setup and administer SFTP servers on cloud-based VMs using chroot configurations and automate file transfers to S3-backed Glacier. Manage SNS for alerting and notification integration. Ensure cost optimization of AWS services through billing reviews and usage audits. Implement and maintain secure secrets management using AWS KMS, Parameter Store, and Secrets Manager. Configure, deploy, and maintain a wide range of AWS services, including but not limited to: Compute Services Provision and manage compute resources using EC2, EKS, AWS Lambda, and EventBridge for compute-driven, serverless and event-driven architectures. Storage & Content Delivery Manage data storage and archival solutions using S3, Glacier, and content delivery through CloudFront. Networking & Connectivity Design and manage secure network architectures with VPCs, Load Balancers, Security Groups, VPNs, and Route 53 for DNS routing and failover. Ensure proper functioning of Network Services like TCP/IP, reverse proxies (e.g., NGINX). Monitoring & Observability Implement monitoring, logging, and tracing solutions using CloudWatch, Prometheus, Grafana, ArgoCD, and OpenTelemetry to ensure system health and performance visibility. Database Services Deploy and manage relational databases via RDS for MySQL, PostgreSQL, Aurora, and healthcare-specific FHIR database configurations. Security & Compliance Enforce security best practices using IAM (roles, policies), AWS WAF, Amazon Inspector, GuardDuty, Security Hub, and Trusted Advisor to monitor, detect, and mitigate risks. GitOps Apply excellent knowledge of GitOps practices, ensuring all infrastructure and application configuration changes are tracked and versioned through Git commits. Architect and manage Kubernetes environments (EKS), implementing Helm charts, ingress controllers, autoscaling (HPA/VPA), and service meshes (Istio), troubleshoot advanced issues related to pods, services, DNS, and kubelets. Apply best practices in Git workflows (trunk-based, feature branching) in both monorepo and multi-repo environments. Maintain, troubleshoot, and optimize Linux-based systems (Ubuntu, CentOS, Amazon Linux). Support the engineering and compliance teams by addressing requirements for HIPAA, GDPR, ISO 27001, SOC 2, and ensuring infrastructure readiness. Perform rollback and hotfix procedures with minimal downtime. Collaborate with developers to define release and deployment processes. Manage and standardize build environments across dev, staging, and production.Manage release and deployment processes across dev, staging, and production. Work cross-functionally with development and QA teams. Lead incident postmortems and drive continuous improvement. Perform root cause analysis and implement corrective/preventive actions for system incidents. Set up automated backups/snapshots, disaster recovery plans, and incident response strategies. Ensure on-time patching. Mentor junior DevOps engineers. Experience: 5-10 Years Working Mode: Hybrid Job Type: Full-Time Location: Kolkata Requirements Required Qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 5+ years of proven DevOps engineering experience in cloud-based environments. Advanced knowledge of AWS, Terraform, CI/CD tools, and Kubernetes (EKS). Strong scripting and automation mindset. Solid experience with Linux system administration and networking. Excellent communication and documentation skills. Ability to collaborate across teams and lead DevOps initiatives independently. Preferred Qualifications Experience with infrastructure as code tools such as Terraform or CloudFormation. Experience with GitHub Actions is a plus. Certifications in AWS (e.g., AWS DevOps Engineer, AWS SysOps Administrator) or Kubernetes (CKA/CKAD). Experience working in regulated environments (e.g., healthcare or fintech). Exposure to container security tools and cloud compliance scanners. Benefits Perks and benefits: Health insurance Hybrid working mode Provident Fund Parental leave Yearly Bonus Gratuity