Job Title: Systems Engineer Department: Information Systems Experience : Min 5 years Job Summary : The Systems Engineer is responsible for the administration, and troubleshooting of IT infrastructure, and other core enterprise information systems, including planning, capacity management, patching, and reliability testing. The Systems Engineer has a thorough knowledge of virtual system design, implementation and administration of virtualized infrastructure, operating system hardening, user profile management, application virtualization, and storage administration. The engineer also acts as a mentor to the ITSD team and supports regional teams across subsidiaries. This role is a blend of technical proficiency, analytical skills, and proactive problem-solving to maintain optimal uptime and service delivery. Main Responsibilities ? Conduct, analyze, recommend, and present performance and/or capacity analysis to assure systems reliability for current and/or future use. ? Support day-to-day operations and technical issues related to IT systems, networking, virtualization, and cloud platforms. ? Perform advanced troubleshooting, analysis, and maintenance on IT infrastructure hardware/software. ? Prepare technical documentation of all implemented projects/systems and maintain the documentation of existing IT infrastructure up to date. ? Participate in the DR activation of infrastructure and applications to carry out DR drills as per procedures laid down in the Business Continuity Plan. ? Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems, and key processes, reviewing system and application logs, and verifying completion of scheduled jobs such as backups. ? Upgrade systems and processes as required for enhanced functionality and security issue resolution. ? Provide technical expertise in researching, identifying, evaluating, and recommending new technology solutions to optimize the IT infrastructure. ? Install, configure, and maintain core IT infrastructure components such as Virtual server environment, Virtual desktop infrastructure, IP telephony systems, backup systems and Microsoft/Unix/Linux servers. ? Ensure that all IT infrastructure components adhere to the company's information security policy and procedures. ? Support cloud migration and hybrid infrastructure initiatives ? Act as L2/L3 escalation for technical issues, collaborating with ITSD and regional teams. Job Requirements ? Bachelor's degree in IT. ? A minimum of 5 years experience across Windows and Citrix infrastructure. ? Good knowledge of virtualization technologies. ? At least MCSA or Microsoft Certified Engineer. ? Familiarity with networking concepts ? Experience of backup and replication technologies ? Familiarity with system automation (Ansible, Puppet or equivalent) will be an advantage ? Experience with Azure and O365 platforms will be a definite advantage. ? Good knowledge of system and network monitoring ? Good communication, organizational and negotiation skills. ? Self-motivated, able to deliver consistent results through problem solving. ? Ability to work collaboratively with others and excellent team working skills. ? A high sense of responsibility and service ownership ? A can-do attitude.
Job Summary: We are looking for a talented and passionate 3D Modeling and Character Artist to join our team. You will be responsible for creating compelling and visually stunning 3D characters, creatures, and props that dene the aesthetic of our games. This role requires a strong understanding of anatomy, form, and storytelling through character design. Responsibilities: ? Model, sculpt, and texture high-quality 3D characters, creatures, and props from concept art or design briefs. ? Create ecient and clean topology for animation and game engine integration. ? Develop realistic or stylized textures using Substance Painter and Adobe Photoshop, adhering to the game's art direction. ? Utilize Blender, 3ds Max, Maya, and ZBrush to produce detailed and optimized models. ? Collaborate closely with concept artists, animators, and technical artists to ensure character models meet all requirements. ? Ensure character assets are optimized for performance while maintaining visual delity. ? Participate in art reviews and incorporate feedback eectively
Job Title: Senior Full Stack Developer (.NET Core + Angular) Location: [Remote / On-site / Hybrid City, Country] Experience: 7+ Years Employment Type: [Full-time / Contract / Permanent] Job Summary: We are looking for a highly experienced Senior Full Stack Developer with strong expertise in .NET Core and Angular to join our growing technology team. The ideal candidate should have at least 7 years of hands-on experience in building scalable, secure, and high-performance web applications. This role demands deep technical knowledge, leadership capabilities, and a passion for modern software development. Key Responsibilities: Design, develop, and maintain full-stack applications using .NET Core (C#) for backend and Angular (v10+) for frontend. Build and consume RESTful APIs and integrate third-party services. Ensure high performance, quality, and responsiveness of applications. Write clean, modular, and well-documented code. Participate in technical design discussions and architectural decisions. Lead code reviews, mentor junior developers, and enforce coding standards. Collaborate with cross-functional teams including Product, QA, and DevOps. Perform unit testing, integration testing, and support deployment pipelines. Monitor and optimize application performance and troubleshoot production issues. Required Skills & Qualifications: 7+ years of professional experience in software development. Proficient in .NET Core (C#) with solid knowledge of object-oriented programming and design patterns. Expertise in Angular 10+, TypeScript, HTML5, CSS3, and responsive design. Strong experience with Entity Framework Core, LINQ, and relational databases (SQL Server preferred). Solid understanding of RESTful API design and development. Experience with version control systems like Git. Familiarity with Agile/Scrum methodologies. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications: Experience with Azure or other cloud platforms. Familiarity with Docker, Kubernetes, or container-based deployment. Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, etc.). Experience with unit testing and test-driven development (TDD). Exposure to Microservices architecture and Domain-Driven Design (DDD). Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Job Overview: We are looking for a QA Engineer to ensure the quality and reliability of AI-powered applications running on AWS. The role involves testing data pipelines, AI/ML workflows, and cloud-native applications, while also developing automated test frameworks and supporting continuous integration. Key Responsibilities: Develop and execute test plans, test cases, and automation scripts for AI applications on AWS. Test data pipelines (ETL/ELT, streaming, batch) to ensure data is correct, complete, and performs well. Validate AI/ML workflows including model training, inference, fine-tuning, and retraining processes. Perform functional, regression, integration, performance, and security testing of cloud applications. Build automated test frameworks for APIs, microservices, and AWS Lambda functions. Integrate testing into CI/CD pipelines to enable continuous testing. Work closely with data engineers, ML engineers, and architects to ensure overall system quality. Monitor production systems and check that results meet expected business or AI outcomes. Document test results, report defects, and suggest process improvements. Required Skills & Qualifications: 3+ years of QA or software testing experience. Experience in both manual and automated testing practices. Good programming skills in Python, Java, or JavaScript for automation purposes. Experience testing cloud-native applications using AWS services like S3, Lambda, Step Functions, API Gateway, ECS, and DynamoDB. Familiar with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or AWS CodePipeline. Knowledge of data validation and quality frameworks (e.g., Great Expectations, Deequ).
We are seeking talented AWS AI Engineers / Developers to join our team in building innovative agentic AI solutions. This role focuses on implementing intelligent, automated workflows that enhance clinical data processing and decision-making, leveraging the power of AWS services and cutting-edge open-source AI frameworks. Experience in healthcare or Life Sciences, with a strong focus on regulatory compliance, is highly desirable. Key Responsibilities: Design, develop, and implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation to enhance data quality and reliability. Build and integrate LLM-powered agents using AWS Bedrock in combination with open-source frameworks like LangChain and AutoGen. Create robust, event-driven pipelines leveraging AWS Lambda, Step Functions, and EventBridge for seamless orchestration of data and processes. Optimize prompt engineering techniques, implement retrieval-augmented generation (RAG), and facilitate efficient multi-agent communication. Integrate AI agents securely with external applications and services through well-defined, secure APIs. Collaborate with Data Engineering teams to design and maintain PHI/PII-safe data ingestion pipelines, ensuring compliance with privacy regulations. Continuously monitor, test, and fine-tune AI workflows focusing on improving accuracy, reducing latency, and ensuring compliance with industry standards. Document solutions and contribute to the establishment of best practices and governance frameworks. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field. 36 years of hands-on experience in AI/ML engineering, with specific expertise in LLM-based or agentic AI development and deployment. Strong programming skills in Python and/or TypeScript. Practical experience with agentic AI frameworks such as LangChain, LlamaIndex, or AutoGen. Solid understanding of AWS AI services including Bedrock, SageMaker, Textract, and Comprehend Medical. Proven experience in API development and integration, as well as designing event-driven system architectures. Knowledge of healthcare or Life Sciences domains, including regulatory compliance requirements (HIPAA, GDPR, etc.), is preferred. Strong problem-solving mindset, with a focus on experimentation, iteration, and delivering innovative solutions rapidly. Preferred Skills: Effective communication and collaboration skills, with the ability to work closely with cross-functional teams. Passion for emerging AI technologies and cloud innovations. Prior exposure to clinical or life sciences data workflows is a strong advantage.
We are seeking skilled Machine Learning Engineers to design, develop, and deploy advanced ML models focused on Agentic AI use cases, utilizing the AWS ecosystem. The role emphasizes end-to-end ML solutions, from data preprocessing and model development to deployment and ongoing monitoring, with a strong focus on scalability, performance, and cost-efficiency in production environments. Key Responsibilities: Design, develop, and deploy machine learning models tailored for Agentic AI applications in clinical and enterprise domains. Work extensively with the AWS AI/ML ecosystem, including SageMaker, Bedrock, Lambda, Step Functions, S3, DynamoDB, and Kinesis, to build scalable solutions. Perform data preprocessing and feature engineering on structured, unstructured, and streaming data to build high-quality training datasets. Collaborate with Data Engineering teams to ensure robust, well-curated datasets while maintaining PHI/PII safety and compliance. Implement fine-tuning of large language models (LLMs), embeddings, and retrieval-augmented generation (RAG) pipelines. Evaluate and optimize models focusing on accuracy, performance, scalability, and operational cost-effectiveness. Integrate ML models into production applications and expose them via APIs for seamless consumption. Work closely with MLOps teams to automate workflows for model training, testing, deployment, and continuous monitoring. Conduct experimentation, A/B testing, and rigorous model validation to guarantee performance and reliability. Document experiments, data pipelines, model architectures, and best practices to ensure reproducibility and knowledge sharing. Required Skills & Qualifications: 3+ years of hands-on experience in machine learning engineering, model development, and production deployment. Strong proficiency in Python, with expertise in libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and TensorFlow. Solid understanding of the full ML lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring. Experience working with AWS services for machine learning: SageMaker, Lambda, ECS/EKS, Step Functions, Bedrock, S3, and DynamoDB. Practical knowledge of large language models (LLMs), natural language processing (NLP), and vector embeddings. Proficient in developing APIs and deploying ML models as microservices in production environments. Experience in orchestrating ML pipelines using tools such as Airflow, Kubeflow, or MLflow. Familiarity with data versioning, experiment tracking, and model registry best practices. Strong SQL and NoSQL database skills, including experience with vector databases like Weaviate, Pinecone, or FAISS. Preferred Attributes: Experience in healthcare or regulated domains, ensuring compliance with industry standards. Excellent problem-solving skills, with a passion for experimentation, iteration, and delivering innovative AI solutions. Strong communication skills, capable of collaborating with cross-functional teams. Self-driven, with a focus on automating and improving ML workflows and processes.
About the Role: We are seeking an AWS DevOps / MLOps Engineer to support our Agentic AI projects. The role involves building, automating, and managing cloud infrastructure and machine learning workflows on AWS, ensuring smooth deployment and operation of AI solutions. Key Responsibilities: Design, deploy, and manage AWS infrastructure (VPC, EC2, ECS/EKS, S3, IAM, Lambda, Step Functions). Build and maintain CI/CD pipelines for deploying applications, data pipelines, and ML models. Apply MLOps practices to automate model versioning, training, testing, deployment, and monitoring. Use AWS SageMaker to manage model training, deployment, monitoring, and drift detection. Automate data and ML workflows using Airflow, Step Functions, or Kubeflow. Set up monitoring and alerting using tools like CloudWatch, Prometheus, or Grafana. Required Skills & Qualifications: 3+ years of experience in DevOps, Cloud Engineering, or MLOps. Strong knowledge of AWS services: SageMaker, S3, EKS/ECS, Lambda, API Gateway, Redshift, DynamoDB, Step Functions. Experience with CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, or AWS CodePipeline. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK). Good scripting skills in Python, Bash, or Go. Familiarity with Docker, Kubernetes, and container orchestration. Understanding of ML model lifecycle: data ingestion, training, deployment, monitoring, retraining. Experience with monitoring and logging tools (CloudWatch, ELK, Prometheus, Datadog). Knowledge of GitOps practices to manage infrastructure and ML models.
Role Overview: We are seeking a highly skilled Senior AWS Solutions / AI Architect to lead the design and implementation of advanced agentic AI solutions within cloud environments, specifically leveraging AWS services. The ideal candidate will combine deep technical expertise in AI/ML, cloud-native architectures, and healthcare domain experience to deliver scalable, compliant, and innovative solutions that drive business outcomes. Key Responsibilities: Architect and lead the design of agentic AI systems utilizing AWS services such as Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, and DynamoDB. Design and implement multi-agent orchestration frameworks for clinical data workflows, including source verification, discrepancy resolution, and data integration. Evaluate architectural trade-offs between LLM-based reasoning, rules engines, and hybrid AI solutions to determine the best approach per use case. Provide thought leadership in healthcare and Life Sciences AI solutions, ensuring compliance with relevant regulatory frameworks. Mentor and guide AI engineers, developers, and DevOps teams on best practices for building agent-based architectures. Collaborate closely with clinical Subject Matter Experts (SMEs), compliance teams, and project sponsors to ensure that technical solutions align with strategic business objectives. Required Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (PhD is a strong advantage). 3+ years of industry experience in AI/ML engineering, including 35 years focused on cloud-native AI architecture and solution design. Hands-on experience with AWS AI services: Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, and Lex. Strong knowledge of agentic AI frameworks such as LangChain, LlamaIndex, Haystack, CrewAI, or AutoGen. Proven expertise in workflow orchestration tools like AWS Step Functions, Apache Airflow, or Temporal. Deep understanding of multi-agent pipeline design, data processing, and automation in regulated environments. Demonstrated experience in delivering AI solutions for healthcare and Life Sciences domains, with a strong focus on regulatory compliance. Excellent leadership skills, with the ability to influence stakeholders, provide technical governance, and deliver high-impact solutions. Preferred Attributes: Strong problem-solving aptitude with an analytical mindset. Effective communication skills, both written and verbal, especially when engaging with cross-functional teams. Passion for cutting-edge AI technologies and cloud innovations.
Job Summary: We are seeking a highly motivated and experienced SOC Analyst to join our dynamic cybersecurity team. The ideal candidate will have hands-on experience with a variety of security technologies, including Splunk for SIEM, Cofense for email security monitoring, Exabeam for UEBA, and a leading SOAR platform. This role is responsible for monitoring, detecting, analyzing, and responding to cybersecurity threats and incidents to protect our organization's assets. Responsibilities: Monitor and analyze security alerts from Splunk, Cofense, Exabeam, and other security tools to identify and investigate potential security incidents. Utilize Splunk Search Processing Language (SPL) to perform in-depth analysis of log data and create custom alerts, dashboards, and reports. Analyze and respond to user-reported phishing emails using the Cofense platform, and contribute to the continuous improvement of our email security posture. Leverage Exabeam to detect and investigate anomalous user and entity behavior, including insider threats and compromised accounts. Develop and maintain automated incident response playbooks in our SOAR platform to streamline response efforts and reduce manual tasks. Conduct incident response activities, including containment, eradication, and recovery, in accordance with established procedures. Perform threat hunting activities to proactively identify and mitigate potential threats that may have bypassed existing security controls. Collaborate with other IT and security teams to resolve security incidents and implement preventative measures. Stay up-to-date with the latest cybersecurity threats, vulnerabilities, and industry best practices. Contribute to the development and maintenance of SOC documentation, including standard operating procedures (SOPs) and incident response plans. Qualifications: Education: Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field. Experience: 3+ years of experience in a Security Operations Center (SOC) or a similar cybersecurity role. Technical Skills: Proven experience with Splunk, including SPL and the Enterprise Security (ES) app. Hands-on experience with Cofense or a similar email security solution. Demonstrated experience with Exabeam or another UEBA platform. Proficiency with a SOAR platform such as Palo Alto Cortex XSOAR, IBM SOAR, or Splunk SOAR, including playbook development. Strong understanding of networking, operating systems, and security principles. Scripting experience (e.g., Python) is highly desirable. Certifications (Preferred): Splunk Core Certified User / Power User GIAC Certified Incident Handler (GCIH) Certified Ethical Hacker (CEH) Other relevant security certifications. Soft Skills: Excellent analytical and problem-solving skills. Strong written and verbal communication skills. Ability to work effectively in a fast-paced, team-oriented environment.
About the Role We are looking for a highly motivated and experienced SOC Analyst to join our cybersecurity team. You will be responsible for monitoring, detecting, analyzing, and responding to security threats and incidents, using leading tools such as Splunk Enterprise Security (ES) , Cofense , Exabeam , and SOAR platforms . Key Responsibilities Monitor and investigate security alerts using Splunk, Cofense, Exabeam, and SOAR tools . Perform log analysis with Splunk SPL ; build custom alerts, dashboards, and reports. Respond to phishing incidents and enhance email security with Cofense . Detect and investigate insider threats/compromised accounts via Exabeam UEBA . Develop and automate SOAR playbooks to streamline response actions. Execute incident response (containment, eradication, recovery) as per SOPs. Conduct threat hunting to identify potential risks. Collaborate with IT/security teams to prevent future incidents. Maintain SOC documentation and stay updated on the latest threats. Qualifications Bachelor's degree in Cybersecurity / Computer Science / IT or related field. 3+ years of SOC / Cybersecurity experience. Strong expertise in: Splunk (SPL, Enterprise Security app) Cofense or other email security solutions Exabeam or other UEBA tools SOAR platforms (Cortex XSOAR, IBM SOAR, Splunk SOAR) Knowledge of networking, operating systems, and security principles . Python scripting is a plus. Preferred Certifications Splunk Core Certified User / Power User GIAC Certified Incident Handler (GCIH) Certified Ethical Hacker (CEH) Other relevant certifications Soft Skills Strong analytical & problem-solving skills Excellent communication skills Ability to work in a fast-paced, team-oriented environment
We are looking for a Senior .NET Core Developer with a strong background in building scalable, high-quality, and high-performance applications. As a key member of our development team, you will be responsible for designing, developing, and maintaining enterprise-level applications using .NET Core, C#, and related technologies.