• Senior DevOps / Cloud / SRE Engineer • Senior AI / Machine Learning Engineer • Senior Data Engineer

@AwaisChaudhry

Hello, I’m interested in supporting Talsolution’s client engagements as a Senior AI/Machine Learning or Data Engineering professional. My strongest alignment is with Python, SQL, Linux, and Machine Learning (ML), including practical engineering discussions, data workflows, model implementation, and clear communication with distributed teams. I can contribute throughout discovery, technical planning, sprint execution, client meetings, progress reporting, and secure delivery. I’m also comfortable working in environments where Docker supports reproducible development and Kubernetes enables dependable deployment and scaling. I understand the importance of personally completing interviews, accurately representing experience, and providing the requested résumé, LinkedIn profile, availability, and introductory video. My approach is to clarify objectives early, translate them into measurable technical tasks, and deliver maintainable solutions with transparent updates. Could you share whether the initial engagement is primarily focused on Machine Learning, Data Engineering, or Docker/Kubernetes-based platform delivery? Regards, Muhammad Awais

@DeveloperStation

Hi, I've built and shipped DevOps pipelines end to end. Most recently a secure CI pipeline with deterministic ingestion and containerized Docker builds, where the client said we helped get the app to a great start. On a separate engagement I set up automated deployment workflows on AWS from scratch with Python tooling. One thing worth clarifying before I record a video: is the primary need infrastructure automation and SRE work, or model deployment and MLOps? My strongest overlap here is DevOps, Python, AWS, Docker, and Linux, so I'd want to represent that area accurately rather than stretch into areas I'm lighter on. Tell me which of the three tracks is the active client need and I'll send my primary area, availability, and the intro video. Adil

@usmanbashir12100

Hi, I can contribute as a senior DevOps/Cloud/SRE, AI/ML, or Data Engineering professional depending on your client engagement needs, with a focus on clear technical communication, reliable delivery, and production-quality implementation. I’m comfortable collaborating in distributed teams, translating requirements into technical decisions, handling client discussions, and working across cloud infrastructure, automation, AI systems, data pipelines, and security-conscious environments. A few questions: * Which technical area are you currently prioritizing for upcoming client engagements: DevOps/Cloud/SRE, AI/ML, or Data Engineering? * Are engagements typically aligned to a specific cloud/platform stack, or should candidates be prepared to adapt across AWS, Azure, and GCP? * What level of client-facing availability and U.S. working-hours overlap is expected for these engagements? Best regards, Muhammad Usman

@dvcontact

Hello Sir, Have you considered how top-tier technical professionals could elevate your projects without any initial commitment? We provide access to seasoned DevOps, AI, and Data Engineering experts who can seamlessly integrate with your team and enhance project outcomes. Let's connect to discuss how we can address your specific technical needs. Best, Smith

@AndrewJSMAN

I’ve built and scaled cloud-native ML/data pipelines using Kubernetes, Terraform, and Snowflake, so this is right in my wheelhouse. I’ll set up the infrastructure, configure CI/CD, and deploy models—then validate and monitor for reliability. For data engineering, I’ll design ETL pipelines with Airflow and Spark, ensuring schema consistency and zero downtime. I can start immediately. Thanks, Andrii.

@sufyanasmat38

Hello, I have strong experience with AWS, Azure, Docker, Kubernetes, Python, AI and cloud engineering. I can contribute as a senior technical professional across AI/ML and DevOps workflows, communicate clearly with clients, and independently handle implementation and delivery. I’m available for client engagements and can provide my resume, LinkedIn profile, and a short introduction video as required.

@jonasdedzo

Hello, I can support Talsolution as a senior DevOps/Cloud/SRE engineer, with a practical focus on reliable infrastructure, automation, Kubernetes/Docker, Linux, CI/CD, monitoring, and secure cloud deployments. I would first understand the client’s architecture, delivery process, security requirements, and current pain points, then work within the existing stack rather than introducing unnecessary complexity. I can contribute directly to implementation, troubleshoot production issues, review technical decisions, improve deployment reliability, and communicate progress clearly in standups and client meetings. For cloud environments, I’m comfortable working with infrastructure automation, containerized services, observability, scaling, and DevSecOps practices. I also understand that this role requires personally completing the interview process and accurately representing my experience. Price: $6,800 USD fixed Milestone 1 — $1,800 / 4 days Architecture review, requirements, environment assessment, technical plan and initial setup. Milestone 2 — $3,200 / 7 days Core DevOps/Cloud/SRE implementation, automation, containers, CI/CD, monitoring, security and reliability improvements. Milestone 3 — $1,800 / 4 days Testing, optimization, documentation, handover and final production-readiness review. Total timeline: 15 days. Availability: Immediate. Looking forward to work with you. Thanks

@binayatri

Hi, I’m interested in being considered primarily for the Senior AI / Machine Learning Engineer role. I have 13+ years of software engineering experience, with a strong focus in recent years on AI/ML, LLM applications, computer vision, automation, and production systems. My work includes AI assistants, RAG and agentic workflows, model inference, API/backend development, data processing, and integrating AI systems into scalable SaaS products. I’m comfortable working directly with clients and distributed engineering teams, discussing technical decisions clearly, taking ownership of implementation, and providing reliable progress updates. I also have hands-on experience with Python, PyTorch, ML/CV workflows, Docker, AWS/Azure, databases, APIs, and production deployment. I’m happy to provide my résumé and complete the required introduction video and interview process personally. Let's connect and get started soon. Best regards, Binaya T.

@FizzaNadeemK

AVAILABLE TO START RIGHT NOW Hello, I understand Talsolution is looking for a senior technical professional who can work directly with clients, communicate technical decisions clearly, attend meetings reliably, and personally handle the assigned engineering work. My strongest area is AI/ML and backend engineering, with experience across Python, AI APIs, automation, databases, APIs and cloud-based applications. I’m comfortable working independently, communicating with technical teams and taking ownership of project delivery. Check my past work here: https://www.freelancer.pk/u/FizzaNadeemK I’m available to start right now and can provide my résumé, LinkedIn profile and a short introduction video for the screening process. Best Regards, Fizza

@thomasb726

Hi, The core risk on engagements like these is delivery drift: unclear boundaries between DevOps, AI/ML, and Data work create scope creep and security gaps when teams are distributed and compliance is required. I mitigate that by enforcing crisp interface contracts, automated security gates, and repeatable IaC deployments so sprint commitments remain predictable. I have led teams building a payroll API and a mission-critical tax filing system, both requiring strict security, auditability, and cross-team coordination. Those projects involved AWS, Kubernetes, Docker, Terraform, Python, SQL and heavy automation of CI/CD and compliance checks. I have also implemented data pipelines with Spark and Databricks and deployed PyTorch models to containerized inference clusters for low-latency, monitored production use. I will start by aligning on the single most critical deliverable for the first sprint and implement an initial CI/CD pipeline with security linting and a deployable test environment so the team can validate end-to-end changes quickly. - Your résumé I will attach my current résumé with the direct message to this posting. - LinkedIn profile I will include a link to my LinkedIn in the direct message. - Primary technical area DevOps / Cloud / SRE (with production AI/ML and Data experience available when required). - Years of relevant experience 15+ years software engineering; 8+ years in Cloud/DevOps and production ML/data systems. - Current availability 20–30 hours/week immediately available; can increase to full time if needed for the engagement. - A short pre-interview video I will record and attach a 90–120 second video introducing myself, summarizing my technical background, and describing one production deployment pattern I use for secure model rollout. - Would you like me to share a short diagram of the initial CI/CD and security gate flow before our first meeting? Always up for a quick conversation if you have questions. Thomas Beigbeder

@abela399

Hi, The key requirement for senior engineering engagements is being able to communicate technical decisions clearly while delivering reliable solutions in complex environments. Strong execution depends on balancing architecture, security, and practical delivery needs. Which technical area are you currently prioritizing most for upcoming client engagements: DevOps/SRE, AI/ML, or Data Engineering? I have experience across backend systems, cloud-based applications, AI integrations, APIs, and production deployments. My work has involved designing reliable services, integrating automation, and solving technical challenges across software environments. The main constraint in client projects is maintaining clear ownership, secure practices, and predictable delivery while adapting to each customer’s existing stack. Kind regards, Abel.

@TidewaterDev

Hello, Adam from New Jersey here. The hard part of this project is aligning senior-level expertise across DevOps, AI/ML, and Data Engineering domains while ensuring clear communication and reliable delivery in a distributed team environment. My approach matches your stack and requirements: 1. Initial deliverable: a detailed skills and availability report aligned with your client’s needs and interview process. 2. Participate in daily standups and sprint planning to clarify priorities and technical solutions. 3. Provide accurate progress updates and coordinate implementation with your teams using Azure, Kubernetes, Python, and Terraform. 4. Ensure compliance with security and confidentiality standards throughout the engagement. I recently completed a hybrid role supporting cloud infrastructure automation with Azure and Kubernetes while deploying ML models using Python and TensorFlow for a client-facing project. This experience directly addresses the multi-disciplinary coordination and technical clarity you require. Looking forward to your reply and the next steps. Thanks, Adam.

@bcosley

Hi, I understand you’re looking for senior engineers who can operate across DevOps, ML, and data under client-facing coordination, with a practical focus on reliability and security in live environments. I’ve worked on similar engagements coordinating deployments, telemetry, and data pipelines with distributed teams, keeping stakeholders aligned and delivery predictable. I’d start by validating the current flow, isolating unstable parts, and building tests around real usage patterns, then iterate in short, observable cycles with clear milestones and guardrails. One technical risk / key challenge: balancing rapid iteration with strict security and governance in multi-tenant setups. What should happen if records disappear and reappear later in a data lake pipeline? How do you prefer handling secrets rotation and access control across cloud accounts during onboarding? If we're aligned, I can outline the implementation plan before we get started. Best regards, Brandon

@SidUSA

Hi, Quantum Code Solutions is available to provide senior-level engineering support and technical delivery for your client engagements. The core of effective technical representation lies in combining deep hands-on expertise—whether in AI/ML model deployment, robust DevOps pipelines, or scalable data architectures—with direct, clear client communication and reliable delivery. We plan to integrate seamlessly into your clients' agile workflows, leading daily standups, executing technical implementations, and ensuring strict compliance and security standards are maintained across all project deliverables. Recently, our team delivered production-grade LLM orchestration platforms, advanced computer vision systems, and robust cloud infrastructure for complex client applications. We established structured deployment pipelines, integrated real-time data processing workflows, and consistently provided clear technical communication to project stakeholders. Our work ensured high system availability, streamlined development cycles, and delivered reliable end-to-end execution on every technical milestone. We are eager to discuss the project further. Reach out to initiate a conversation! Best regards, Quantum Code Solutions

@Georgeoustar

Hi there, Thank you for outlining such a comprehensive opportunity. I’m a senior engineer with over 10 years of experience specializing in DevOps, Cloud, and Data Engineering, with strong expertise in Python, Linux, Azure, Docker, Kubernetes, and distributed systems. I have a proven track record leading complex projects—designing and automating cloud infrastructure, implementing CI/CD pipelines, and supporting production systems while maintaining security and compliance standards. I’m comfortable engaging in daily standups, sprint planning, and client-facing meetings, and have consistently delivered technical solutions that align with both business and engineering priorities. My approach emphasizes clear communication, proactive progress updates, and close coordination with both client and internal teams to ensure smooth project execution. I am highly organized, reliable, and able to work independently. I’d be happy to share my résumé, LinkedIn profile, and a short introductory video as requested. Looking forward to discussing how my skills can contribute to your upcoming projects. Best Regards! George

@Alexwebo23

Hi To tackle the DevOps, AI/ML, or Data Engineering needs in your organization, implementing secure cloud infrastructures with Azure while integrating large-scale data processing using Hadoop and Kubernetes is essential. The technical problem here is optimizing cloud deployments and AI workflows efficiently, for which leveraging Docker for containerization and Kubernetes for orchestration can streamline scaling and management processes. As a Full Stack Software Engineer, I’ve developed AI-powered solutions using Python on cloud platforms, successfully enhancing scalability and automation for analytics applications. Your emphasis on senior-level proficiency resonates with my background, where I’ve contributed to distributed teams, implementing complex backend architectures and integrating CI/CD pipelines. I appreciate your structured approach to progress updates and client interaction, ensuring clarity and alignment throughout the project phases. I can certainly help refine your technical implementations and am available to dive deeper into specific challenges you face. Let’s explore how we can achieve your project goals effectively. Thanks, Oswaldo