71 Cloud Environments Jobs - Page 3

About NCR VOYIX NCR VOYIX Corporation (NYSE: VYX) is a leading global provider of digital commerce solutions for the retail, restaurant, and banking industries. Headquartered in Atlanta, Georgia, with approximately 16,000 employees in 35 countries worldwide, NCR VOYIX has been the global leader in consumer transaction technologies for nearly 140 years. The company focuses on transforming everyday consumer interactions into meaningful moments by revolutionizing stores, restaurants, and digital banking experiences through cloud-based, platform-led SaaS, and services capabilities. NCR VOYIX partners with the world's leading retailers, restaurants, and financial institutions to create exceptional consumer experiences. Leveraging expertise, R&D capabilities, and a unique platform, NCR VOYIX helps businesses navigate, simplify, and run their technology systems. The company's mission is centered around enabling stores, restaurants, and financial institutions to exceed their goals, from customer satisfaction to revenue growth, operational excellence, reduced costs, and profit growth, empowering customers to succeed in today's competitive landscape. Position Title: UNIX Systems Administrator I Location: Gurugram, India Working hours: 24x7 on a rotation basis Summary Description: (L2) Join the UNIX Support team at NCR VOYIX and play a crucial role in maintaining the company's infrastructure. Collaborate with various teams to create and sustain a robust hardware and software solution for the NCR VOYIX UNIX environment. Support architectural development and deployment of new installations and solutions in an expanding UNIX environment within a continuous improvement organization. Provide second/third level technical consultancy for day-to-day operations and off-hours support on a rotational basis. The role demands exceptional teaming and communication skills to work within a global organization and with individuals of varying technical experience levels. You will offer support and mentoring to level 1 and 2 teams while engaging with people from diverse global locations and cultures. A keen aptitude for all technologies is essential, along with the ability to understand and operate within NCR's overall infrastructure architecture. Summary Description: (L3) As a member of the UNIX Support team, you will collaborate closely with various Architects to maintain a robust hardware and software solution for the NCR VOYIX UNIX environment. Support architectural development and deployment of new installations and solutions in an expanding UNIX environment within a continuous improvement organization. Provide second/third level technical consultancy for day-to-day operations and off-hours support on a rotational basis, emphasizing the importance of team collaboration and communication across global teams. Key Areas of Responsibility: - Develop and implement UNIX releases and solutions within the NCR VOYIX environment. - Maintain the UNIX environment to meet defined availability targets. - Diagnose technical and operational software problems on installed systems within defined SLAs. - Plan and execute installations of new server hardware and peripherals. - Test new UNIX releases and software products, coordinating upgrade projects. - Monitor system performance and provide technical information to varied audiences. - Contribute to procedural documentation and provide technical input regularly. Basic Requirements: - Strong analytical skills and the ability to communicate results effectively. - Creativity, innovation, and problem-solving abilities. - Project management skills with the capacity to enhance work effectiveness. - Quick learning ability and adaptability to new technologies. - Effective oral and written communication skills. - Independent work capability with a focus on meeting objectives. - Proficiency in Unix scripting and writing ansible playbooks. Preferred Skills: - Experience supporting UNIX environments including Linux, Solaris, Suse, Redhat. - Server hardware installation and troubleshooting skills. - Configuring complex server architectures on virtualized platforms such as OVM, Solaris, and VMware. - Supporting UNIX Architects in architecture design and solution deployment. - Familiarity with VMWare, Oracle Engineered servers, and Cloud environments. Education Requirements: - Bachelor's degree in Computer Science, Computer Engineering, Management Information Systems, or related field. - Equivalent job experience may substitute for formal education requirements. EEO Statement: NCR VOYIX is an equal opportunity employer and is committed to diversity in the workplace. We encourage applications from all qualified individuals, regardless of race, gender, age, religion, disability, or any other protected status. Statement to Third Party Agencies: NCR VOYIX only accepts resumes from agencies on the preferred supplier list. Please refrain from forwarding resumes to our applicant tracking system or NCR VOYIX employees. NCR VOYIX is not liable for any fees associated with unsolicited resumes. Ensure to open emails during the application process that are from a @ncrvoyix.com email domain.,

As a Pre-Sales Technical Consultant in our team, you will play a vital role in providing product knowledge and technical support to our channel partners and internal teams. Your responsibilities will include adjusting existing training materials or creating new ones to educate our partners on Antivirus solutions. Working closely with the channel team, you will identify technical education gaps and deliver presentations on Antivirus product solutions at webinars and events. Additionally, you will engage in business and technical discovery with customer prospects, architecting and proposing solutions, as well as leading proof of concept activities from start to finish. Staying updated on cybersecurity trends and industry reports, you will leverage this knowledge to drive technical sales wins. To qualify for this role, you should hold a degree in Computer Science or equivalent education, with a minimum of 3 years of experience in pre-sales within IT or Cloud environments. A strong mix of business, sales, and technical skills is essential, along with preferred certifications in IT and Cybersecurity. Excellent presentation and communication abilities, both verbal and written, are required. Proficiency in security technologies such as Anti-Virus, Malware Detection, IDS/IPS, and Firewalls is necessary, as is familiarity with Kaspersky solutions and competitive alternatives. Knowledge of virtualization, public cloud technologies, and fluency in English are expected, while additional language skills are advantageous. A profound enthusiasm for cybersecurity will drive your success in this role.,

As a Senior Technical Lead in Full Stack Development, you will be responsible for overseeing a team of skilled developers, providing strategic guidance on architecture, task estimation, code quality, and project delivery. Your role involves collaborating with stakeholders to align technical solutions with business goals and driving innovation and collaboration within the team. You will lead, mentor, and inspire a team of full-stack developers, fostering a culture of learning, collaboration, and continuous improvement. By conducting regular code reviews, providing constructive feedback, and facilitating team development through training and performance evaluations, you will maintain high-quality standards and encourage best practices in both front-end and backend development. Collaborating with project managers and product teams, you will translate business needs into scalable technical solutions, define and implement development strategies, estimate task duration and complexity, and oversee the development of client-side and server-side architecture to ensure robustness, responsiveness, and security. Your role will also involve driving the technical architecture, guiding best practices in code structure, database management, and API design, as well as identifying areas for process improvement to optimize workflows and enhance team productivity. You will ensure that all applications meet high standards for security and data protection, implementing best practices in risk management and compliance. Working closely with cross-functional team members, including data scientists and analysts, you will enhance software solutions and user experiences. As a bridge between development teams and stakeholders, you will ensure clear communication of technical solutions, project progress, and time estimates. In addition to leading troubleshooting and debugging efforts, identifying and resolving complex issues efficiently, you will drive rigorous testing and quality assurance processes to ensure high application performance and stability. Staying up-to-date with emerging technologies and industry trends, you will evaluate their relevance to ongoing and future projects. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, or a related field, with a minimum of 8 years in full-stack development and at least 3 years in a technical leadership or team management role. You should have a proven track record in designing, building, and optimizing end-to-end web applications, as well as extensive experience with PHP, back-end languages (e.g., Python, Java, C#), and front-end frameworks (e.g., Angular, React, or Vue.js). Deep knowledge of front-end languages and frameworks (HTML, CSS, JavaScript) and back-end technologies, proficiency in database management, familiarity with web servers and cloud environments, and a strong understanding of security best practices and data protection measures are also required. Additionally, you should have excellent communication skills, problem-solving abilities, and organizational skills to manage multiple priorities in a fast-paced environment. Preferred skills for this role include experience working in Agile/Scrum environments, familiarity with DevOps practices and tools, and experience in mobile development.,

About HashiCorp HashiCorp solves development, operations, and security challenges in infrastructure so organizations can focus on business-critical tasks. We build products to give organizations a consistent way to manage their move to cloud-based IT infrastructures for running their applications. Our products enable companies large and small to mix and match AWS, Microsoft Azure, Google Cloud, and other clouds as well as on-premises environments, easing their ability to deliver new applications. We use the Tao of HashiCorp as our guiding principles for product development and operate according to a strong set of company principles for how we interact with each other. We value top-notch collaboration and communication skills, both among internal teams and in how we interact with our users. Our Team The HashiCorp Incident Excellence team is responsible for improving HashiCorps incident response while maximizing learning from incidents. Our focus is on helping all engineers feel confident when they are on-call and improving communication to efficiently resolve incidents and build trust in our brand. We partner closely with teams to drive a holistic incident management strategy and share learnings to help our business continuously improve. About This Role This engineering role is on a nascent engineering team. The team is responsible for products that touch many areas of engineering organizations at HashiCorp, so applicants will need to excel at collaboration, have product-focused mindsets, and be comfortable iterating in an agile manner towards solutions. You will provide expert execution of the incident command process, including running and managing high-severity incident bridges and driving transparent communication that promotes maximum levels of internal and external customer satisfaction. Collaborate with an array of technical stakeholders and executives to drive resolution during incidents and improve overall response for future incidents and technical escalations. Utilize top-notch troubleshooting techniques to identify, organize, and advocate for novel solutions to remediate customer impact on complex interconnected systems. Participate in a closed-loop post-incident learning process driving insights and meaningful action Iterative improvements in response through consistent drills, tabletops, and game-day exercises Push the boundaries of innovation in incident management to deliver best-in-class incident response. In This Role, You Can Expect To Be responsible for and drive incident management capabilities and culture. Contribute to incident command on-call Build technical skills and relationships within a team of engineers and SREs. Lead and refine our incident response strategy, ensuring rapid and effective response to operational disruptions. Analyze incident trends and root causes to drive continuous improvements in system reliability and response processes. Develop and maintain tools for incident detection, analysis, and resolution, automating responses where possible to minimize human intervention. Create comprehensive incident response documentation and conduct training sessions to prepare all relevant teams for effective incident handling. Work closely with development, operations, and security teams to coordinate incident response efforts and post-incident analyses. You may be a good fit for our team if: 5+ years of experience in site reliability engineering, systems administration, or software engineering, with a significant focus on incident response and operational reliability. 1+ years managing, coordinating, and ensuring resolution of major incidents. Professional experience with incident management in cloud environments. Enjoy working on a variety of scopes spanning software engineering, cloud infrastructure, and SRE. Proven track record of managing and resolving incidents in cloud-based environments, with expertise in major public cloud platforms (AWS, GCP, Azure). Understanding of fundamental network technologies like DNS, Load Balancing, SSL, TCP/IP, HTTP Strong understanding of monitoring and alerting systems, with the ability to develop metrics and alarms that accurately reflect system health and operational risks. Experience with incident management tools and practices, including post-mortem analysis and root cause investigation. Passion for consistently responding to and leading complex incidents in a 24x7x365 environment utilizing a globalized follow-the-sun model. Customer-centric attitude with a focus on providing best-in-class incident response for customers and stakeholders Familiarity with HashiCorps product suite and infrastructure automation tools is a plus. Demonstrate strong leadership skills during periods of significant business impact, remaining calm and professional during high-pressure situations A strong desire to drive customer success with partner teams and management on high-profile issues critical to the long-term success of the business Outstanding verbal and written communication skills with the ability to convey information in a meaningful way to both engineers and executive-level management, during and outside of incidents Adaptable to a wide variety of technologies and capable of incident response and troubleshooting activities in complex interconnected environments,

We are seeking an accomplished and hands-on Technical QA Lead to drive quality assurance for FlytBases cloud-native autonomous robotics platform. This role offers a rare opportunity to work on cutting-edge QA challenges in the emerging field of drone autonomy, testing systems that interact seamlessly across both real and simulated drone environments. As a Technical QA Lead, youll establish and evolve QA processes, frameworks, and standards that ensure our platform meets the highest standards of reliability for mission-critical applications. Youll tackle complex problems involving automation, performance, and security testing in an environment where your work directly impacts the future of autonomous technology. Collaborating closely with cross-functional teams, youll develop advanced automation frameworks, integrate QA into CI/CD pipelines, and ensure our products excel in both lab and real-world conditions. This role is perfect for someone who thrives on hands-on technical challenges and wants to make a meaningful impact without the constraints of traditional people management. About FlytBase At FlytBase, were not just creating a productwere on a zero-to-one journey, building a whole new global category thats never existed before. What does that mean Were on a mission to unlock the worlds third dimension with fully autonomous drones. Its the first of its kind. Therefore, everything we do requires first-principle thinking, bold experimentation, and a willingness to push boundaries. If youre bored of cookie-cutter playbooks and ready for something fresh, exciting (and yes, involving drones), this is your place. Dont believe it Challenge usWed be more than happy to tell you why were so confident in what were building! Role and Responsibilities:Strategic QA Ownership: Define and implement QA strategies and frameworks specifically tailored to autonomous drone technology, addressing the unique challenges of testing both real and simulated drone systems. Identify and address gaps in current QA practices by establishing industry-standard methodologies and processes for quality assurance in enterprise-grade deployments, focusing on mission-critical workflows. Technical QA Leadership: Act as the technical authority in QA, possessing expertise across manual, automation, performance, and security testing domains. Serve as a hands-on resource in automation, building and enhancing frameworks and ensuring best practices. Engage directly in test case development, execution planning, and code review, providing technical guidance and mentoring as needed. Automation and Framework Development: Design, develop, and maintain automated test frameworks and scripts for web based systems that interact with real-world hardware, including drones, sensors, crewed aviation, etc. Implement robust test harnesses and acceptance test suites for different components (e.g., connectors, APIs) and integrate them within the CI/CD pipeline. Leverage advanced tools and frameworks (e.g., Cypress, Jmeter) to scale and optimize automated testing processes. Performance & Security Testing: Lead the implementation of performance testing strategies to ensure our systems meet load, scalability, and stability requirements. Develop and maintain test suites for regression, stress, and security testing. Collaborate with DevOps and development teams to establish monitoring protocols, analyzing results to identify potential optimizations and risks. Cloud Infrastructure & Compliance Validation: Develop, implement, and maintain robust test frameworks to validate complex cloud configurations, including resource creation, access controls, and policy implementations across multi-cloud environments (AWS, Azure, GCP). Collaborate closely with engineering and product teams to proactively identify potential vulnerabilities and enhance system reliability. Ensure compliance with stringent security and regulatory standards through rigorous validation processes. Integrate automated tests within CI/CD pipelines to enable seamless execution and support high-quality releases in cloud-based systems. Process and Standards Development: Build and enforce testing standards, establishing metrics to measure and improve product quality. Document QA processes, test plans, and strategies, ensuring that these standards are applied consistently. Foster a proactive quality mindset within the product development lifecycle, from requirements analysis to release. Cross-Functional Collaboration: Collaborate closely with Product Management, Product Design and Engineering teams to align quality objectives with product requirements and business goals. Participate in design and code reviews, providing quality-focused feedback to enhance testability and robustness. Act as an advocate for the end-user experience, ensuring that the team prioritizes user needs and real-world scenarios in the QA process. Talent Acquisition and Team Building: Identify talent gaps within the QA function and lead the hiring process for QA roles. Conduct technical interviews and assessments to select top talent that aligns with FlytBases quality standards and culture. Onboard new team members and set them up for success by establishing clear expectations and providing necessary resources and mentorship. Mentorship and Thought Leadership: Lead by example, inspiring a culture of continuous improvement and technical excellence in QA. Mentor engineers across various QA domains (automation, performance, security) to enhance the teams capabilities and technical expertise. Promote knowledge-sharing practices, encouraging the adoption of new tools, technologies, and methodologies within the QA team. Best suited for candidates who Educational Background: Bachelors or Masters degree in Computer Science, Engineering, or a related technical field. Experience: 5+ years of QA experience, including significant hands-on expertise in automation, performance, and security testing. Proven experience leading QA initiatives in complex, high-scale environments, particularly in SaaS, multi-tenant, multi-region setups. Strong history of implementing and managing end-to-end QA processes and frameworks, with an emphasis on quality, speed, and scalability. Technical Skills: Proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and scripting for test automation. Advanced skills in one or more QA tools and frameworks (e.g., Cypress, Selenium, Playwright, JUnit, TestNG, Appium) and CI/CD tools (e.g., Jenkins, GitLab CI). Strong understanding of performance testing tools (e.g., JMeter, Gatling) and security testing methodologies. Solid knowledge of RESTful API testing, cloud environments, and tools related to containerization and orchestration (Docker, Kubernetes). Soft Skills: Strong analytical skills and an ability to dive deep into complex problems, with a focus on solutions that drive product quality. Excellent communication and collaboration skills, with the ability to work effectively across teams and influence without authority. Self-driven, highly organized, and able to thrive in a fast-paced, dynamic environment. Compensation: This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit and alignment with FlytBases long-term business strategy. Perks: Fast-paced startup culture Hacker mode environment Enthusiastic and approachable team Professional autonomy Company-wide sense of purpose Flexible work hours Informal dress code How to apply: To apply, send across your CV with a cover letter to careers@flytbase.com!,

As a Data Governance Engineer at Aviatrix, you will be playing a crucial role in establishing and maintaining our data governance framework. Your responsibilities will involve designing and implementing an efficient and scalable data governance framework to ensure data quality, security, and compliance. You will work towards promoting best practices, enhancing data transparency, and fostering seamless cross-functional collaboration within the organization. One of your key responsibilities will be to develop and enforce data quality and validation processes across various data sources, including MySQL, Snowflake, and other platforms, to maintain high standards of data reliability and usability. You will also be tasked with establishing and maintaining data cataloging practices to ensure complete data lineage across all sources. Collaboration will be a significant aspect of your role as you will be the central point of contact for data governance, working closely with teams such as Data Engineering, Product Innovation, and Security to implement effective data governance practices. Furthermore, you will collaborate with DevOps and Security teams to ensure data security and compliance with relevant regulations like GDPR and CCPA by implementing appropriate access controls and permissions. In addition to these responsibilities, you will be responsible for creating and maintaining comprehensive documentation on data governance policies, data lineage, and best practices. Proactive monitoring of data pipelines and recommending tools and technologies that support data cataloging, quality monitoring, and metadata management will also be part of your role. To excel in this position, you should have a strong knowledge of SQL and experience with data warehousing platforms like Snowflake, AWS Redshift, and MySQL. Proficiency in Python for data analysis, scripting, and automation of data processes is essential. Moreover, you should possess knowledge of data quality frameworks, experience working with large-scale data in cloud environments, and familiarity with data governance tools and metadata management platforms. Ideally, you should hold a Bachelor's degree in information systems, Computer Science, or a related field, along with at least 3 years of relevant experience in Data Governance, Data Engineering, or a similar role. Your total compensation package will be based on your job-related knowledge, education, certifications, and location, as per aligned ranges. Aviatrix is a cloud networking expert dedicated to simplifying cloud networking for enterprises. If you are passionate about making a difference, growing your career, and being part of a dynamic community, we encourage you to apply. At Aviatrix, we value diversity and welcome candidates who bring unique perspectives and skills to our team. Your journey and background matter to us, and we are committed to helping you achieve your goals and unleash your full potential.,

You will be joining our team as a full-time Software Engineer, dedicated to enhancing the security solutions we provide. Collaborating with engineers, designers, and product managers, you will contribute to the technical direction of our Duo product. Your responsibilities will include building, documenting, extending, and maintaining various components of the product, ensuring its overall success. To excel in this role, you should possess the following skills and qualities: - A proven track record as a professional software engineer, demonstrating successful project deliveries within a team environment. - 8-10 years of experience in site reliability engineering, systems engineering, or DevOps roles. - Proficiency in managing cloud environments, preferably AWS, GCP, or Azure. - Hands-on experience in creating and managing CI/CD pipelines. - Familiarity with containerization technologies such as Docker and Kubernetes. - Knowledge of infrastructure automation tools like Terraform, Ansible, or Chef. - Proficiency in using monitoring and observability tools like Prometheus, Grafana, Datadog, and Splunk. - Strong scripting skills in at least one language like Python, Go, or Bash. - Experience with load balancing, caching, and distributed systems architecture. - Understanding of version control tools such as Git, GitLab, or GitHub. - Expertise in troubleshooting production systems and networking protocols like DNS, HTTP, and TCP/IP. - Excellent written and verbal communication skills, catering to individuals with varying technical expertise. - Previous experience in running production deployments on AWS or similar IaaS platforms. - Proficiency in delivering software using agile methodologies. - Strong commitment to ensuring the quality of your work and a passion for innovating in the network security domain. Additionally, having domain knowledge in DLP (Data Loss Prevention) would be considered a significant advantage for this role. If you meet the above criteria and are excited about the prospect of contributing to our team, please send your resume to gita@laddersuphr.com.,

Role: Junior AI/ML Engineer Location: Ambattur, Chennai(Onsite) Fulltime Position Job Summary: We are looking for an AI/ML Engineer to develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, feature engineering, and model training. Work with TensorFlow, PyTorch, Scikit-learn, and Keras for model development. Deploy ML models in cloud environments (AWS, Azure, GCP) and work with Docker/Kubernetes for containerization. Perform model evaluation, hyperparameter tuning, and performance optimization . Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions. Stay up to date with the latest advancements in AI/ML and implement best practices. Write clean, scalable, and well-documented code in Python or R. Technical Skills: Programming Languages: Proficiency in languages like Python. Python is particularly popular for developing ML models and AI algorithms due to its simplicity and extensive libraries like NumPy, Pandas, and Scikit-learn. Machine Learning Algorithms: Should have a deep understanding of supervised learning (linear regression, decision trees, SVM), unsupervised learning, and reinforcement learning. Data Management and Analysis: Skills in data cleaning, feature engineering, and data transformation are crucial. Deep Learning: Familiarity with neural networks, CNNs, RNNs, and other architectures is important. Machine Learning Frameworks and Libraries: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn is valuable. Natural Language Processing (NLP): Familiarity with NLP techniques like word2vec, sentiment analysis, and summarization can be beneficial. Cloud Computing: Experience with cloud-based services like AWS SageMaker, Google Cloud AI Platform, or Microsoft Azure Machine Learning. Data Preprocessing: Skills in handling missing data, data normalization, feature scaling, and data transformation. Feature Engineering: Ability to create new features from existing data to improve model performance. Data Visualization: Familiarity with visualization tools like Matplotlib, Seaborn, Plotly, or Tableau. Containerization: Knowledge of containerization tools like Docker and Kubernetes. Databases : Understanding of relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB). Data Warehousing: Familiarity with data warehousing concepts and tools like Amazon Redshift or Google BigQuery. Computer Vision: Understanding of computer vision concepts and techniques like object detection, segmentation, and image classification.

Role: AI/ML Lead Engineer Location: Ambattur, Chennai(Onsite) Fulltime Position Job Summary: We are looking for an AI/ML Engineer to Lead, develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, feature engineering, and model training. Work with TensorFlow, PyTorch, Scikit-learn, and Keras for model development. Deploy ML models in cloud environments (AWS, Azure, GCP) and work with Docker/Kubernetes for containerization. Perform model evaluation, hyperparameter tuning, and performance optimization . Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions. Stay up to date with the latest advancements in AI/ML and implement best practices. Write clean, scalable, and well-documented code in Python or R. Technical Skills: Programming Languages: Proficiency in languages like Python. Python is particularly popular for developing ML models and AI algorithms due to its simplicity and extensive libraries like NumPy, Pandas, and Scikit-learn. Machine Learning Algorithms: Should have a deep understanding of supervised learning (linear regression, decision trees, SVM), unsupervised learning, and reinforcement learning. Data Management and Analysis: Skills in data cleaning, feature engineering, and data transformation are crucial. Deep Learning: Familiarity with neural networks, CNNs, RNNs, and other architectures is important. Machine Learning Frameworks and Libraries: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn is valuable. Natural Language Processing (NLP): Familiarity with NLP techniques like word2vec, sentiment analysis, and summarization can be beneficial. Cloud Computing: Experience with cloud-based services like AWS SageMaker, Google Cloud AI Platform, or Microsoft Azure Machine Learning. Data Preprocessing: Skills in handling missing data, data normalization, feature scaling, and data transformation. Feature Engineering: Ability to create new features from existing data to improve model performance. Data Visualization: Familiarity with visualization tools like Matplotlib, Seaborn, Plotly, or Tableau. Containerization: Knowledge of containerization tools like Docker and Kubernetes. Databases : Understanding of relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB). Data Warehousing: Familiarity with data warehousing concepts and tools like Amazon Redshift or Google BigQuery. Computer Vision: Understanding of computer vision concepts and techniques like object detection, segmentation, and image classification.

Role: Midlevel AI/ML Engineer Location: Ambattur, Chennai(Onsite) Fulltime Position Job Summary: We are looking for an AI/ML Engineer to develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, feature engineering, and model training. Work with TensorFlow, PyTorch, Scikit-learn, and Keras for model development. Deploy ML models in cloud environments (AWS, Azure, GCP) and work with Docker/Kubernetes for containerization. Perform model evaluation, hyperparameter tuning, and performance optimization . Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions. Stay up to date with the latest advancements in AI/ML and implement best practices. Write clean, scalable, and well-documented code in Python or R.

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential! The Opportunity - VP, Software Engineering. What You'll Contribute Work closely with product managers to understand priorities and usage scenarios of product features. Collaborate with user experience personnel to understand personas within usage scenarios. Work with architects to drive the design for your software platform capability. Collaborate within working groups of software engineers to follow software engineering standards, guidance, and processes. Continuously improve engineering practices for the software platform to support efficiency, reliability, and serviceability goals. Assist research, case studies and prototypes on technologies to ensure the software platform remains the leading analytic decisioning platform. Coach other software engineers on creating their domain designs. Collaborate with QA engineers to design and implement non-functional tests. What We're Seeking Bachelor's/Master's degree in Computer Science or related discipline. 8+ years of experience in designing, building, deploying, and operating commercial software that integrates sophisticated AI & ML stateful algorithms executing in low milliseconds. Experience with commercial software that covers the entire life cycle of intelligence execution, from authoring to execution to observing. 8+ years of experience in building sophisticated runtimes in C++. Ability to define and drive design transformation to an end state that is based on simplicity, modern software design patterns, open-source software, and cloud environments. Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure. Experience creating, documenting, and communicating software designs for complex products. Skilled in domain-driven, event-driven, and microservice architectures. Proficient in building, tracking, and communicating plans within agile processes. Experience supporting production software deployments. Proficient with commercial software product processes. Experience with multiple public cloud technologies is a plus, e.g., AWS, Google, Azure. Experience with Kubernetes, including its control plane, ecosystem, and Docker is a plus. CMake experiences are beneficial. Preferred experience using artificial intelligence and machine learning technologies. Our Offer to You An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Why Make a Move to FICO At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today - Big Data analytics. You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: . Credit Scoring - FICO Scores are used by 90 of the top 100 US lenders. . Fraud Detection and Security - 4 billion payment cards globally are protected by FICO fraud systems. . Lending - 3/4 of US mortgages are approved using the FICO Score. Global trends toward digital transformation have created tremendous demand for FICO's solutions, placing us among the world's top 100 software companies by revenue. We help many of the world's largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people - just like you - who thrive on the collaboration and innovation that's nurtured by a diverse and inclusive environment. We'll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks! Learn more about how you can fulfil your potential at FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we're proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don't meet all stated qualifications. While our qualifications are clearly related to role success, each candidate's profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply. Information submitted with your application is subject to the FICO Privacy policy at

Let s do this. Let s change the world. This role supports the day-to-day operation and maintenance of server systems and infrastructure. The engineer will perform tasks such as system monitoring, security patching, automations, and troubleshooting under guidance from senior team members, contributing to uptime and compliance. The ideal candidate will have a consistent record in Compute (WINTEL) Infrastructure Operations and have a passion for fostering innovation and excellence in the biotechnology industry. Additionally, collaboration with multi-functional and global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in Windows Servers service delivery and operations. This role demands the ability to drive and deliver against key organizational pivotal initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Please note, this is an on-site role based in Hyderabad Administer, monitor, and support Windows Server Maintain and monitor server security and compliance standards Monitor server health and generate routine reports Perform patching, updates and backups to ensure compliance Support in incident resolution and troubleshooting Document changes and standard operating procedures What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: Bachelors degree with 2-4 years of experience OR Master s degree with 1-2 years of experience OR Diploma with 5+ years of relevant experience Functional Skills: Must-Have Skills: Experience with Windows server operations Experience with virtualization (VMware, Acropolis) Basic scripting knowledge (PowerShell, Ansible, Python) Familiarity with ITIL or incident management workflows Change management expertise Excellent troubleshooting and problem solving skills Good-to-Have Skills: Exposure to cloud environments (AWS, Azure) Interest in automation tools and infrastructure-as-code Exposure to monitoring tools (Dynatrace) Knowledge of configuration management tools (Ansible, SSM or MECM) Professional Certifications: CompTIA Server+ or Microsoft Fundamentals (preferred) Soft Skills: Meticulous and organized Effective communicator Ability to follow procedures accurately Willingness to learn and grow

This is an urgent and fast filling position - Need immediate joiners OR l1 month notice period We are Looking for 1)Junior AI/ML Engineer - Positions 2 open 2)Mid-level AI/ML Engineer -1 position open 3)Lead AI/ML Engineer - 1 position open Location: Ambattur, Chennai Fulltime position Job Summary: We are looking for a AI/ML Engineer to develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, feature engineering, and model training. Work with TensorFlow, PyTorch, Scikit-learn, and Keras for model development. Deploy ML models in cloud environments (AWS, Azure, GCP) and work with Docker/Kubernetes for containerization. Perform model evaluation, hyperparameter tuning, and performance optimization . Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions. Stay up to date with the latest advancements in AI/ML and implement best practices. Write clean, scalable, and well-documented code in Python or R. Technical Skills: Programming Languages: Proficiency in languages like Python. Python is particularly popular for developing ML models and AI algorithms due to its simplicity and extensive libraries like NumPy, Pandas, and Scikit-learn. Machine Learning Algorithms: Should have a deep understanding of supervised learning (linear regression, decision trees, SVM), unsupervised learning, and reinforcement learning. Data Management and Analysis: Skills in data cleaning, feature engineering, and data transformation are crucial. Deep Learning: Familiarity with neural networks, CNNs, RNNs, and other architectures is important. Machine Learning Frameworks and Libraries: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn is valuable. Natural Language Processing (NLP): Familiarity with NLP techniques like word2vec, sentiment analysis, and summarization can be beneficial. Cloud Computing: Experience with cloud-based services like AWS SageMaker, Google Cloud AI Platform, or Microsoft Azure Machine Learning. Data Preprocessing: Skills in handling missing data, data normalization, feature scaling, and data transformation. Feature Engineering: Ability to create new features from existing data to improve model performance. Data Visualization: Familiarity with visualization tools like Matplotlib, Seaborn, Plotly, or Tableau. Containerization: Knowledge of containerization tools like Docker and Kubernetes. Databases : Understanding of relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB). Data Warehousing: Familiarity with data warehousing concepts and tools like Amazon Redshift or Google BigQuery. Computer Vision: Understanding of computer vision concepts and techniques like object detection, segmentation, and image classification. Reinforcement Learning: Knowledge of reinforcement learning concepts and techniques like Q-learning and policy gradients.

Job Description : 2-5 years of hands-on software engineering experience Excellent hands on experience in Java(17+, 21 preferred) Experience in developing Spring Boot and REST services. Experience in unit test frameworks. Ability to provide solutions based on the business requirements. Ability to collaborate with cross-functional teams. Ability to work with global teams and a flexible work schedule. Must have excellent problem-solving skills and be customer-centric. Excellent communication skills. Job Description: Education: Bachelor's/Master's degree in computer science or equivalent. Mandatory Skills: 2-5 years of hands-on software engineering experience Excellent hands on experience in Java(17+, 21 preferred) Experience in developing Spring Boot and REST services. Experience in unit test frameworks. Ability to provide solutions based on the business requirements. Ability to collaborate with cross-functional teams. Ability to work with global teams and a flexible work schedule. Must have excellent problem-solving skills and be customer-centric. Excellent communication skills. Preferred Skills: Experience with Microservices, CI/CD, Event Oriented Architectures and Distributed Systems Experience with cloud environments (e.g., Google Cloud Platform, Azure, Amazon Web Services, etc.) Familiarity with web technologies (e,g,, JavaScript, HTML, CSS), data manipulation (e.g., SQL), and version control systems (e.g., GitHub/GitLab) Familiarity with DevOps practices/principles, Agile/Scrum methodologies, CI/CD pipelines and the product development lifecycle Familiarity with modern web APIs and full stack frameworks. Experience with Kubernetes, Kafka, Postgresql Experience developing eCommerce systems - especially B2B eCommerce - is a plus. 2-5 years of hands-on software engineering experience Excellent hands on experience in Java(17+, 21 preferred) Experience in developing Spring Boot and REST services. Experience in unit test frameworks. Ability to provide solutions based on the business requirements. Ability to collaborate with cross-functional teams. Ability to work with global teams and a flexible work schedule. Must have excellent problem-solving skills and be customer-centric. Excellent communication skills.

AI Model Deployment & Integration: Deploy and manage AI/ML models, including traditional machine learning and GenAI solutions (e.g., LLMs, RAG systems). Implement automated CI/CD pipelines for seamless deployment and scaling of AI models. Ensure efficient model integration into existing enterprise applications and workflows in collaboration with AI Engineers. Optimize AI infrastructure for performance and cost efficiency in cloud environments (AWS, Azure, GCP). Monitoring & Performance Management: Develop and implement monitoring solutions to track model performance, latency, drift, and cost metrics. Set up alerts and automated workflows to manage performance degradation and retraining triggers. Ensure responsible AI by monitoring for issues such as bias, hallucinations, and security vulnerabilities in GenAI outputs. Collaborate with Data Scientists to establish feedback loops for continuous model improvement. Automation & MLOps Best Practices: Establish scalable MLOps practices to support the continuous deployment and maintenance of AI models. Automate model retraining, versioning, and rollback strategies to ensure reliability and compliance. Utilize infrastructure-as-code (Terraform, CloudFormation) to manage AI pipelines. Security & Compliance: Implement security measures to prevent prompt injections, data leakage, and unauthorized model access. Work closely with compliance teams to ensure AI solutions adhere to privacy and regulatory standards (HIPAA, GDPR). Regularly audit AI pipelines for ethical AI practices and data governance. Collaboration & Process Improvement: Work closely with AI Engineers, Product Managers, and IT teams to align AI operational processes with business needs. Contribute to the development of AI Ops documentation, playbooks, and best practices. Continuously evaluate emerging GenAI operational tools and processes to drive innovation. Qualifications & Skills: Education: Bachelor's or Master's degree in Computer Science, Data Engineering, AI, or a related field. Relevant certifications in cloud platforms (AWS, Azure, GCP) or MLOps frameworks are a plus. Experience: 3+ years of experience in AI/ML operations, MLOps, or DevOps for AI-driven solutions. Hands-on experience deploying and managing AI models, including LLMs and GenAI solutions, in production environments. Experience working with cloud AI platforms such as Azure AI, AWS SageMaker, or Google Vertex AI. Technical Skills: Proficiency in MLOps tools and frameworks such as MLflow, Kubeflow, or Airflow. Hands-on experience with monitoring tools (Prometheus, Grafana, ELK Stack) for AI performance tracking. Experience with containerization and orchestration tools (Docker, Kubernetes) to support AI workloads. Familiarity with automation scripting using Python, Bash, or PowerShell. Understanding of GenAI-specific operational challenges such as response monitoring, token management, and prompt optimization. Knowledge of CI/CD pipelines (Jenkins, GitHub Actions) for AI model deployment. Strong understanding of AI security principles, including data privacy and governance considerations.

Roles and Responsibilities: Technical Skills: Good knowledge of Linux and Cloud environments (AWS, Azure) Able to write scripts in Python, Shell, Ruby etc Should be aware of Docker, Kubernetes, Terraform, or similar technologies(Nice to have) Ability to use version control tools(Git, Gitlab) Knowledge of monitoring tools like Nginx, Instana, AppDynamics etc Able to document every action so findings turn into repeatable actions and then into automation Keep the production environment up and running Design, build and maintain core infrastructure pieces Able to debug and fix issues in case of failures within SLA Passionate about learning new technologies as per project requirements Excellent thinking and problem solving skills Closely working with customers and internal teams to follow the processes Ready to work in 24*7 operational environment(rotational bases) Qualification: B.E, B.Tech, MCA, Diploma Computer/IT Azure/AWS/Linux certification(nice to have)

This is an urgent and fast filling position - Need immediate joiners OR less than 1 month notice period AI/ML Engineer Location: Chennai Job Summary: We are looking for a Senior AI/ML Engineer to develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Role & responsibilities Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, feature engineering, and model training. Work with TensorFlow, PyTorch, Scikit-learn, and Keras for model development. Deploy ML models in cloud environments (AWS, Azure, GCP) and work with Docker/Kubernetes for containerization. Perform model evaluation, hyperparameter tuning, and performance optimization . Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions. Stay up to date with the latest advancements in AI/ML and implement best practices. Write clean, scalable, and well-documented code in Python or R. Technical Skills: Programming Languages: Proficiency in languages like Python. Python is particularly popular for developing ML models and AI algorithms due to its simplicity and extensive libraries like NumPy, Pandas, and Scikit-learn. Machine Learning Algorithms: Should have a deep understanding of supervised learning (linear regression, decision trees, SVM), unsupervised learning, and reinforcement learning. Data Management and Analysis: Skills in data cleaning, feature engineering, and data transformation are crucial. Deep Learning: Familiarity with neural networks, CNNs, RNNs, and other architectures is important. Machine Learning Frameworks and Libraries: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn is valuable. Natural Language Processing (NLP): Familiarity with NLP techniques like word2vec, sentiment analysis, and summarization can be beneficial. Cloud Computing: Experience with cloud-based services like AWS SageMaker, Google Cloud AI Platform, or Microsoft Azure Machine Learning. Data Preprocessing: Skills in handling missing data, data normalization, feature scaling, and data transformation. Feature Engineering: Ability to create new features from existing data to improve model performance. Data Visualization: Familiarity with visualization tools like Matplotlib, Seaborn, Plotly, or Tableau. Containerization: Knowledge of containerization tools like Docker and Kubernetes. Databases : Understanding of relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB). Data Warehousing: Familiarity with data warehousing concepts and tools like Amazon Redshift or Google BigQuery. Computer Vision: Understanding of computer vision concepts and techniques like object detection, segmentation, and image classification. Reinforcement Learning: Knowledge of reinforcement learning concepts and techniques like Q-learning and policy gradients.

Job Summary What will you enjoy in this role Will focus on designing, developing, and supporting all our online data solutions This person will work closely with business Managers to design and build innovative solutions What you ll do We seek Software Engineers with experience building and scaling services in on-premises and cloud environments As a Lead Engineer in the Epsilon Attribution/Forecasting Product Development team, you will play a key role in implementing and optimizing advanced data processing solutions using Scala, Spark, and Hadoop You will collaborate with cross-functional teams to deploy scalable big data solutions on our on-premises and cloud infrastructure Your responsibilities will include building, scheduling, and maintaining complex workflows, as well as performing data integration and transformation tasks You will troubleshoot issues, document processes, and communicate technical concepts clearly to both technical and non-technical stakeholders Additionally, you will focus on continuously enhancing our attribution and forecasting engines, ensuring they effectively meet evolving business needs Strong written and verbal communication skills (in English) are required to facilitate work across multiple countries and time zones Good understanding of Agile Methodologies - SCRUM Qualifications Over 8 years of strong experience in Scala programming and extensive use of Apache Spark for developing and maintaining scalable big data solutions on both on-premises and cloud environments, particularly AWS and GCP Proficient in performance tuning of Spark jobs, optimizing resource usage, shuffling, partitioning, and caching for maximum efficiency Skilled in implementing scalable, fault-tolerant data pipelines with comprehensive monitoring and alerting Hands-on experience with Python for developing infrastructure modules Deep understanding of the Hadoop ecosystem, including HDFS, YARN, and MapReduce Proficient in writing efficient SQL queries for handling large volumes of data in various database systems Experienced in building, scheduling, and maintaining DAG workflows Familiar with data warehousing concepts and technologies Capable of taking end-to-end ownership in defining, developing, and documenting software objectives and requirements in collaboration with stakeholders Experienced with GIT or equivalent source control systems Proficient in developing and implementing unit test cases to ensure code quality and reliability and experienced in utilizing integration testing frameworks to validate system interactions Effective collaborator with stakeholders and teams to understand requirements and develop solutions Ability to work within tight deadlines, prioritize tasks effectively, and perform under pressure Experience in mentoring junior staff Advantageous to have experience on below: Hands-on with Databricks for unified data analytics, including Databricks Notebooks, Delta Lake, and Catalogues Proficiency in using the ELK (Elasticsearch, Logstash, Kibana) stack for real-time search, log analysis, and visualization Strong background in analytics, including the ability to derive actionable insights from large datasets and support data-driven decision-making Experience with data visualization tools like Tableau, Power BI, or Grafana Familiarity with Docker for containerization and Kubernetes for orchestratio

Key Responsibilities AI Model Deployment & Integration: Deploy and manage AI/ML models, including traditional machine learning and GenAI solutions (e.g., LLMs, RAG systems). Implement automated CI/CD pipelines for seamless deployment and scaling of AI models. Ensure efficient model integration into existing enterprise applications and workflows in collaboration with AI Engineers. Optimize AI infrastructure for performance and cost efficiency in cloud environments (AWS, Azure, GCP). Monitoring & Performance Management: Develop and implement monitoring solutions to track model performance, latency, drift, and cost metrics. Set up alerts and automated workflows to manage performance degradation and retraining triggers. Ensure responsible AI by monitoring for issues such as bias, hallucinations, and security vulnerabilities in GenAI outputs. Collaborate with Data Scientists to establish feedback loops for continuous model improvement. Automation & MLOps Best Practices: Establish scalable MLOps practices to support the continuous deployment and maintenance of AI models. Automate model retraining, versioning, and rollback strategies to ensure reliability and compliance. Utilize infrastructure-as-code (Terraform, CloudFormation) to manage AI pipelines. Security & Compliance: Implement security measures to prevent prompt injections, data leakage, and unauthorized model access. Work closely with compliance teams to ensure AI solutions adhere to privacy and regulatory standards (HIPAA, GDPR). Regularly audit AI pipelines for ethical AI practices and data governance. Collaboration & Process Improvement: Work closely with AI Engineers, Product Managers, and IT teams to align AI operational processes with business needs. Contribute to the development of AI Ops documentation, playbooks, and best practices. Continuously evaluate emerging GenAI operational tools and processes to drive innovation. Qualifications & Skills Education: Bachelors or Masters degree in Computer Science, Data Engineering, AI, or a related field. Relevant certifications in cloud platforms (AWS, Azure, GCP) or MLOps frameworks are a plus. Experience: 3+ years of experience in AI/ML operations, MLOps, or DevOps for AI-driven solutions. Hands-on experience deploying and managing AI models, including LLMs and GenAI solutions, in production environments. Experience working with cloud AI platforms such as Azure AI, AWS SageMaker, or Google Vertex AI. Technical Skills: Proficiency in MLOps tools and frameworks such as MLflow, Kubeflow, or Airflow. Hands-on experience with monitoring tools (Prometheus, Grafana, ELK Stack) for AI performance tracking. Experience with containerization and orchestration tools (Docker, Kubernetes) to support AI workloads. Familiarity with automation scripting using Python, Bash, or PowerShell. Understanding of GenAI-specific operational challenges such as response monitoring, token management, and prompt optimization. Knowledge of CI/CD pipelines (Jenkins, GitHub Actions) for AI model deployment. Strong understanding of AI security principles, including data privacy and governance considerations.

Are you an expert at optimizing Cassandra for speed, reliability, and resilience? Do you excel at designing and scaling high-performance distributed databases? Were seeking a seasoned architect to play a key role in designing and maintaining robust database environments and leading integration initiatives across platforms. In this role, youll be at the forefront of building high-performing, scalable, and secure systems that support seamless data exchange leveraging APIs, event-driven flows, and real-time messaging. Your contributions will power automation, performance, and data-driven decision-making across the enterprise. What You'll Do Database Architecture & Operations: Architect, deploy, and monitor distributed database clusters (MySQL, Cassandra, MongoDB, PostgreSQL), ensuring high availability and performance. Perform advanced tuning, query optimization, and proactive issue resolution. Design and implement strategies for database backup, replication, disaster recovery, and data lifecycle management. Support MySQL systems for operational scalability and enterprise-level performance. Enterprise Integration & EDI Framework: Lead and support a robust EDI/EI framework to integrate backend systems through real-time APIs and asynchronous data pipelines. Standardize data contracts, routing logic, transformation processes, and messaging patterns across systems and partners. Replace legacy batch processing with scalable, event-based integrations using messaging frameworks (e.g., Kafka). API & Event-Driven Architecture: Design and optimize RESTful APIs and event-based services to enable real-time data exchange across internal and third-party systems. Build and manage ETL data flows into microservices or message queues abstracting from underlying source technologies. Data Pipeline Optimization & Automation: Identify bottlenecks in data pipelines and drive performance improvements through modeling and intelligent automation. Use AI/ML where applicable to structure unstructured data and enhance automation in transformation, reporting, and alerting workflows. Cloud & DevOps Enablement: Architect and manage cloud-native database deployments on AWS, Azure, or GCP using automation tools (Terraform, Ansible). Collaborate with DevOps teams to integrate database schema/version control and data integration into CI/CD pipelines. Ensure secure, compliant, and cost-optimized cloud architecture. Enterprise Programs & Collaboration: Contribute to strategic initiatives such as the NexGen Program, ensuring that database and integration designs align with performance, scalability, and long-term architectural goals. Work closely with application architects, developers, and QA teams to co-design and review data-driven solutions. What Youll Need Bachelors Degree in Computer Science or a related field. 8–10 years of experience in database architecture, administration, and integrations. Proven hands-on experience with Cassandra DB, MongoDB, MySQL, PostgreSQL. Certifications in database management or NoSQL databases are preferred. Expertise in database setup, performance tuning, and issue resolution. Strong knowledge of SQL/CQL, data modeling, and distributed systems architecture. Hands-on experience with multi-data-center deployments and monitoring tools such as New Relic. Experience in scripting and automation (Python, Java, Bash, Ansible). Experience managing Cassandra in cloud environments (AWS, GCP, or Azure). Familiarity with DevOps practices, containerization tools (Docker/Kubernetes), and data streaming platforms (Kafka, Spark). Experience standardizing enterprise integration approaches across business units. Solid understanding of data privacy, security, and regulatory compliance. Fluency in English (written and spoken) is required, as it is the corporate language across our global teams. Here’s What We Offer At Scan-IT, we pride ourselves on our vibrant and supportive culture. Join our dynamic, international team and take on meaningful responsibilities from day one. Innovative Environment : Explore new technologies in the transportation and logistics industry. Collaborative Culture : Work with some of the industry’s best in an open and creative environment. Professional Growth : Benefit from continuous learning, mentorship, and career advancement. Impactful Work : Enhance efficiency and drive global success. Inclusive Workplace : Thrive in a diverse and supportive environment. Competitive Compensation : Receive a salary that reflects your expertise. Growth Opportunities : Achieve your full potential with ample professional and personal development opportunities. Join Scan-IT and be part of a team that’s shaping the future of the transportation and logistics industry. Visit www.scan-it.com.sg and follow us on LinkedIn, Facebook and X.

This is an urgent and fast filling position - Need immediate joiners OR less than 1 month notice period Senior AI/ML Engineer Location: Chennai Experience: 7+ years Job Summary: We are looking for a Senior AI/ML Engineer to develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Role & responsibilities Preferred candidate profile Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, feature engineering, and model training. Work with TensorFlow, PyTorch, Scikit-learn, and Keras for model development. Deploy ML models in cloud environments (AWS, Azure, GCP) and work with Docker/Kubernetes for containerization. Perform model evaluation, hyperparameter tuning, and performance optimization . Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions. Stay up to date with the latest advancements in AI/ML and implement best practices. Write clean, scalable, and well-documented code in Python or R.