About Xenon7 At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. Job Description We are seeking an experienced Data Modeller with strong proficiency in Collibra to support enterprise-wide data governance and metadata management initiatives. This role will focus on designing and maintaining conceptual, logical, and physical data models, aligning with business requirements, regulatory standards, and metadata standards within Collibra. You will work in a collaborative environment alongside metadata specialists, developers, and business stakeholders to ensure high-quality data architecture and governance across the enterprise landscape. Key Responsibilities Design and maintain conceptual, logical, and physical data models to support enterprise data initiatives Map business terms and definitions to technical metadata within Collibra Define and enforce data modelling standards, naming conventions, and metadata lineage structures Collaborate with Data Governance and IT teams to implement data modeling best practices Contribute to the ingestion and enrichment of metadata in Collibra, including technical lineage and business context Support migration or integration of metadata from legacy or external systems into Collibra Validate model accuracy and alignment with business rules and downstream system requirements Propose improvements and automation strategies for metadata mapping, lineage documentation, and stewardship workflows Requirements Bachelor's degree in Computer Science, Engineering, or Information Technology Proven experience as a Data Modeller or Data Architect in enterprise environments Hands-on experience with Collibra, including data domains, business glossary, and lineage mapping Strong understanding of metadata management, data governance, and data cataloging practices Solid knowledge of SQL and data warehousing principles Experience working with relational databases and cloud data platforms (e.g., Snowflake, Redshift, BigQuery, etc.) is a plus Ability to communicate with both technical and business teams to capture data requirements and translate them into models Prior experience in pharmaceutical or highly regulated industries is a plus
Description Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional Data & AI Professionals ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process We ensure every member is aligned and empowered: Screening - We review your experience in Data & AI, ML engineering, and solution delivery Technical Discussion - Join a short problem-solving or use-case session Alignment Call - We explore how your skills align with ongoing projects and innovation tracks Requirements Who We're Looking For We're seeking senior Data & AI professionals (6+ years) who are excited to build, mentor, and lead in the evolving world of intelligent systems. At Xenon7, you won't just contribute—you'll help define what's next. You'll design and scale real-world AI/ML platforms, guide innovation sprints, mentor emerging talent, and co-create tools that solve complex data challenges across industries. Whether it's advising on enterprise AI strategy, leading technical roundtables, or contributing to open-source accelerators, your work will drive tangible impact. If you're driven by curiosity and eager to influence how AI shapes the future, this is your platform. Ideal candidates will have: Expertise in ML pipelines, AI integration, and data engineering Hands-on experience with cloud platforms like AWS, Azure, or GCP Familiarity with tools such as MLflow, Spark, orchestration frameworks, and lakehouse architectures A track record of innovation in domains like healthcare, telecom, or finance A collaborative mindset and eagerness to share knowledge Benefits Why You Should Join Us At Xenon7, we're not just building AI systems—we're building a community of talent with the mindset to lead, collaborate, and innovate together. Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here Structured but Agile Process: Our workflows strike a balance between process and agility. With lean onboarding, technical alignment, and impact-led engagement models, we make room for deep work while enabling fast, thoughtful collaboration Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn't just a knowledge-sharing forum—it's a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence
Description- Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional Data Scientists who are ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process- To ensure high-quality contributions and meaningful engagement, the community follows a structured onboarding process: Screening - Review applicants based on 10+ years of experience, expertise in Python, ML techniques, deep learning frameworks, and end-to-end model deployment Technical Assessment - Evaluate through problem-solving exercises, real-world use case discussions, ML optimization challenges, or code review Interview & Alignment - Conduct a conversation to assess collaboration mindset, innovation potential, and contribution to community goals Ready to Join the Revolution? Become part of Xenon7's Elite Data Science Community, where your skills are respected, your time is valued, and your work creates real-world change. Requirements Who Are We Looking For- Data Scientists are the architects of insight, the minds behind machine learning, the storytellers of numbers. They turn complex datasets into business-driving decisions using statistics, algorithms, machine learning, and engineering to discover hidden patterns, automate systems, and unlock value. At Xenon7, our Data Scientists don't just analyze data- they lead innovation. We're building a handpicked community of impact-driven Data Science professionals who are: 10+ years experienced in Data Science or Machine Learning roles Skilled in Python and tools like NumPy, SciPy, Pandas, XGBoost Experts in ML techniques: regression, classification, clustering Proficient with deep learning frameworks (TensorFlow, Keras, PyTorch) Strong in data pipelines, ETL/ELT processes, and large-scale datasets Experienced in mentoring or leading data teams Passionate about solving real business challenges through data Preferred (but not mandatory): A PhD in a relevant field will be an added advantage Benefits Why You Should Join Us- We're building a trust-based, expert-driven collective where we bring the projects and you bring the expertise. No spam, no endless listings. Just curated, high-impact projects that match your skillset and ambition We understand the value of your time, expertise, and independence. You're a strategic partner in solving real business challenges Work with leading healthcare enterprises, innovative startups, and digital disruptors. We connect you to projects where your contribution truly matters Get paid in USD, with clear, timely, and reliable payment structures, so you focus on delivering impact, not chasing invoices Pick the projects that align with your interests and availability. No long-term lock-ins, no pressure, you work when and how it suits you Join global teams and collaborate remotely with the best minds across industries, all from the comfort of your chosen workspace Engage with a community of top-tier professionals. Exchange knowledge, share ideas, and grow with every collaboration
Description- Where elite engineering talent meets world-class opportunities At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier engineering minds and we are inviting exceptional Data Engineers to join our elite collective and collaborate on the future of data infrastructure and analytics at scale. Structured Onboarding Process To maintain the quality and impact of our engineering collective, we follow a simple, effective onboarding process: Screening - Review applicants based on 7+ years of experience in Data Engineering, with deep knowledge of Databricks, ETL/ELT workflows, lakehouse architecture, and cloud-based systems Technical Assessment - Evaluate via pipeline design challenges, optimization exercises, or use-case walkthroughs Interview & Alignment - Assess collaboration mindset, problem-solving approach, and fit within our expert network Ready to Engineer the Future? Become part of Xenon7's Elite Data Engineering Community, where your skills are respected, your voice matters, and your work powers innovation at scale. Let's connect and explore how your expertise can drive the next wave of transformation. Requirements Who Are We Looking For? Data Engineers at Xenon7 are builders, problem-solvers, and performance-optimizers. They design the pipelines that power intelligent systems, enabling teams to access, transform, and act on data with confidence. We're building a handpicked network of high-impact data engineering professionals who are: 7+ years of experience in data engineering roles Skilled in Python, PySpark, and SQL Experienced in building scalable ETL/ELT pipelines using Databricks or similar big data platforms Well-versed in lakehouse architecture, data lakes, and governance practices (e.g., Unity Catalog) Comfortable using Git-based tools (Bitbucket, GitHub) in a collaborative DevOps environment Experienced in cloud data engineering on Azure or AWS Knowledgeable in workflow orchestration (Databricks Workflows, Airflow, etc.) Focused on optimization, performance, and reliability Preferred: Familiarity with Snowflake, CI/CD pipelines, and tools like Jenkins Benefits Why You Should Join Us? At Xenon7, we're curating a trust-based, expert-driven collective where we bring the projects, and you bring the expertise. No spam, no endless listings. Just curated, high-impact projects that match your skillset and ambition We understand the value of your time, expertise, and independence. You're a strategic partner in solving real business challenges Work with leading healthcare enterprises, innovative startups, and digital disruptors. We connect you to projects where your contribution truly matters Get paid in USD, with clear, timely, and reliable payment structures, so you focus on delivering impact, not chasing invoices Pick the projects that align with your interests and availability. No long-term lock-ins, no pressure, you work when and how it suits you Join global teams and collaborate remotely with the best minds across industries, all from the comfort of your chosen workspace Engage with a community of top-tier professionals. Exchange knowledge, share ideas, and grow with every collaboration
About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process We ensure every member is aligned and empowered: Screening - We review your application and experience in Data & AI, ML engineering, and solution delivery Technical Assessment - 2-step technical assessment process that includes an interactive problem-solving test, and a verbal interview about your skills and experience Matching you to Opportunity - We explore how your skills align with ongoing projects and innovation tracks Who We're Looking For We are looking for a skilled and experienced Data Engineer with deep expertise in the Databricks ecosystem to join our data engineering team. You will be responsible for building, optimizing, and maintaining scalable data pipelines on Databricks, leveraging Delta Lake, PySpark, and cloud-native services (AWS, Azure, or GCP). You will collaborate with data scientists, analysts, and business stakeholders to ensure clean, high-quality, and governed data is available for analytics and machine learning use cases. Requirements 6+ years of experience as a Data Engineer, with at least 4 years hands-on with Databricks in production environments Proficient in PySpark and SQL for large-scale data processing Deep understanding of Delta Lake features: ACID transactions, schema enforcement, time travel, and vacuuming Experience working with cloud platforms: AWS (Glue, S3), Azure (Data Lake, ADF), or GCP (BigQuery, GCS) Hands-on experience with Databricks Auto Loader, Structured Streaming, and job scheduling Familiarity with Unity Catalog for multi-workspace governance and fine-grained data access Experience integrating with orchestration tools (Airflow, ADF) and using infrastructure-as-code for deployment Comfortable with version control and automation using Git, Databricks Repos, dbx, or Terraform Experience with performance tuning, Z-Ordering, caching strategies, and partitioning best practices Benefits At Xenon7, we're not just building AI systems—we're building a community of talent with the mindset to lead, collaborate, and innovate together. Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn't just a knowledge-sharing forum—it's a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself
About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process We ensure every member is aligned and empowered: Screening - We review your application and experience in Data & AI, ML engineering, and solution delivery Technical Assessment - 2-step technical assessment process that includes an interactive problem-solving test, and a verbal interview about your skills and experience Matching you to Opportunity - We explore how your skills align with ongoing projects and innovation tracks Who We're Looking For We're looking for a Senior MLOps Engineer with deep expertise in the Databricks ecosystem to help us build and scale reliable, secure, and automated ML platforms across enterprise environments. You'll work closely with data scientists, ML engineers, DevOps teams, and cloud architects to implement and maintain production-grade machine learning infrastructure using best practices in MLOps, CI/CD, and cloud-native services. This is a hands-on technical leadership role ideal for engineers who can work across the entire ML lifecycle—from experiment tracking to scalable deployment—while championing automation, governance, and performance. If you're driven by curiosity and eager to influence how AI shapes the future, this is your platform. Requirements 6+ years of professional experience in DevOps, DataOps, or MLOps roles 3+ years hands-on with Databricks, including Delta Lake, MLflow, and cluster/workflow administration Strong experience in CI/CD, infrastructure as code (Terraform, GitOps), and Python-based automation Solid understanding of ML lifecycle management, experiment tracking, model registries, and automated deployment pipelines Deep knowledge of AWS (EKS, IAM, Lambda, CloudFormation or Terraform) and/or Azure (ADLS, Azure DevOps, ACR) Experience working with containerized environments, including Kubernetes and Helm Familiarity with data governance and access control frameworks like Unity Catalog Strong scripting and programming skills in Python, Shell, and YAML/JSON Benefits At Xenon7, we're not just building AI systems—we're building a community of talent with the mindset to lead, collaborate, and innovate together. Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn't just a knowledge-sharing forum—it's a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself
About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process We ensure every member is aligned and empowered: Screening - We review your application and experience in Data & AI, ML engineering, and solution delivery Technical Assessment - 2-step technical assessment process that includes an interactive problem-solving test, and a verbal interview about your skills and experience Matching you to Opportunity - We explore how your skills align with ongoing projects and innovation tracks Who We're Looking For As a Data Analyst, you will work closely with business stakeholders, data engineers, and data scientists to analyze large datasets, build scalable queries and dashboards, and provide deep insights that guide strategic decisions. You'll use Databricks for querying, transformation, and reporting across Delta Lake and other data sources.nd act on data with confidence. Requirements 6+ years of experience in data analysis, BI, or analytics roles Strong experience with Databricks Notebooks, SQL, and Delta Lake Proficiency in writing complex SQL queries (joins, CTEs, window functions) Experience with data profiling, data validation, and root-cause analysis Comfortable working with large-scale datasets and performance tuning Solid understanding of data modeling concepts and ETL workflows Experience with business intelligence tools (e.g., Power BI, Tableau) Familiarity with Unity Catalog and data access governance (a plus) Exposure to Python or PySpark for data wrangling (a plus) Benefits At Xenon7, we're not just building AI systems—we're building a community of talent with the mindset to lead, collaborate, and innovate together. Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn't just a knowledge-sharing forum—it's a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself
About us: At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. About the Client: Join one of the Fortune 500 leaders in the pharmaceutical industry that is looking innovate and expand our technological capabilities. The person would join a product team working on their self-service company-wide platform that enables all the teams and business units to deploy their AI solutions, making them accessible across the entire company. Position Summary: As an MLOps Engineer, you will play a crucial role in the product team. You will focus on administering and optimizing Databricks within AWS environments, expanding features and capabilities on Databricks, assessing new releases of Databricks features, implementing them to the platform, and generally supporting the business teams with their requests for the platform. Key Responsibilities: Databricks Administration: Manage and optimize Databricks environments, ensuring high availability, performance, and security DevOps Engineering: Implement and maintain Databricks on serverless architectures, ensuring seamless CI/CD pipelines and robust integration with AWS services MLOps Implementation: Develop and enforce best practices for machine learning lifecycle management using Databricks. Collaborate with data scientists and developers to automate and streamline our AI model development AWS and Azure Integration: Leverage a broad range of AWS services and maintain familiarity with Azure to ensure cross-compatibility and optimal performance of our platforms Namespace Administration in EKS: Manage Kubernetes namespace-level operations within AWS EKS, including application deployment and environment configuration Requirements 3+ years in a similar role with proven expertise in Databricks, AWS, and preferably some exposure to Azure Strong background in MLOps, DevOps, and cloud (desirable if in a similar industry) Knowledge of AWS AI Services
Join Xenon7, a leader in digital transformation services for banking and financial sectors in Egypt. We are committed to delivering innovative solutions that drive efficiency and enhance customer experiences across our diverse portfolio of services. As we expand our digital capabilities, we are looking for a passionate and experienced Web Architect to join our dynamic team. Role Overview: The Web Architect will be responsible for developing and overseeing the technical architecture of web applications. for Pharametuocal company. This role requires strong leadership skills and technical expertise to design scalable, secure, and high-performance web systems. You will work closely with cross-functional teams, including product managers, developers, and UX/UI designers, to create robust solutions that align with business goals and user needs. Job Description: Web Architect (9+ Years Experience) Location: Hyderabad, India Work Mode: Mostly Remote (Occasional visits to client location as required) Overview We are seeking a seasoned Web Architect with over 9 years of experience to lead the design, development, and delivery of scalable web solutions. This role demands a strategic thinker with deep technical expertise in front-end technologies, cloud platforms, and integration frameworks. The ideal candidate will drive technical roadmaps, mentor development teams, and ensure alignment across cross-functional initiatives. Requirements Key Responsibilities Define and execute the technical roadmap for web services and solutions Establish web development standards, best practices, and estimation models Lead enablement and certification programs for Web Solution Architects and Developers Collaborate with cross-functional teams (e.g., TSA, Omnichannel) to align roadmaps and delivery Architect and deliver secure, scalable mashup solutions using Qlik Sense and modern JS frameworks Ensure compliance with security protocols and manage cloud deployments Required Technical Skills 🔹 Front-End Development Angular, HTML, CSS, JavaScript, Node.js, DOM Manipulation Advanced JavaScript: Callbacks, Promises, Higher-Order Function s🔹 Mashup & Qlik Integratio nQlik Sense APIs (Capability APIs, EnigmaJS )PicassoJS, Qlik Hypercube data integratio nReusable mashup template developmen t🔹 Libraries & Framework sJQuery, RequireJS, Bootstra p🔹 Security & Clou dOAuth, JWT, SAM LAWS, Azure - cloud deployment and configuratio nNetworking, authentication, and authorization protocol s🔹 UX Desig nUnderstanding of UX principles and user-centric design (preferred )Work Environmen t Remote-first role with flexibilit y Occasional travel to client site in Hyderabad based on project need sCollaborative and fast-paced team environmen t
About us: At Xenon7, we work with leading enterprises and innovative startups on exciting, cuttingedge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. About the Client: Join one of the Fortune 500 leaders in the pharmaceutical industry that is looking innovate and expand our technological capabilities. The person would join a product team working on their self-service company-wide platform that enables all the teams and business units to deploy their AI solutions, making them accessible across the entire company. Role Overview: We are seeking a Data Architect to lead the architectural design and strategy for a largescale lakehouse migration. This role involves defining the technical roadmap, data governance, and best practices for leveraging Databricks and cloud-native tooling. You will play a key role in shaping the future data platform, ensuring scalability, security, and performance across data domains. Responsibilities: Design end-to-end architecture for the lakehouse migration, aligning with business and technical goals Establish data governance frameworks using Unity Catalog and support lineage, access, and compliance Guide engineering teams on scalable data modeling and processing strategies using PySpark and SQL Define standards for workflow orchestration, code quality, and CI/CD using Git-based tools Evaluate and optimize system architecture for performance, cost, and maintainability Collaborate with cloud architects and platform teams to integrate with AWS/Azure services as needed Document architectural decisions, patterns, and migration plans Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related field 11+ years of experience in data architecture or senior data engineering roles Proven expertise in Databricks platform, especially Unity Catalog, workflows, and notebooks Deep understanding of lakehouse architecture concepts and implementation Strong hands-on experience with PySpark, Python, and SQL Familiarity with Git (Bitbucket or GitHub) and CI/CD processes Excellent communication and stakeholder management skills Availability to start within 2 weeks Nice to Have: Experience with Snowflake or other modern data platforms Cloud architecture knowledge in AWS or Azure Exposure to Jenkins or other orchestration/automation frameworks
Xenon7 is on the lookout for a talented Medior Full-Stack Developer with a strong focus on Python backend development to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining both front-end and back-end systems for our innovative web applications. You will collaborate closely with other developers, designers, and stakeholders to build robust and scalable software solutions that meet our clients' needs. We are looking for a Medior Developer with a strong backend focus and solid frontend skills to join our team. You will work on designing, developing, and deploying modern, scalable applications, with a particular emphasis on Python-based backends, cloud-native solutions, and AI integrations. Responsibilities Design, develop, and maintain backend services and APIs using Python (Flask, FastAPI, or similar frameworks) Implement and maintain RESTful web services Contribute to frontend development using React where needed Build, containerize, and deploy applications using Docker Work in Linux environments for development and deployment Develop and deploy solutions in cloud platforms (GCP, AWS, or Azure) Leverage serverless technologies (e.g., AWS Lambda, GCP Cloud Functions, or Azure Functions) Integrate and build features using modern AI platforms (e.g., OpenAI APIs) Design and optimize solutions using NoSQL databases (e.g., MongoDB) and Vector databases for AI-driven features Collaborate with cross-functional teams (DevOps, Data Science, Product) to deliver end-to-end solutions Follow best practices in code quality, testing, documentation, and security Requirements 3-5 years of professional software development experience Strong proficiency in Python and backend development Experience with Flask, FastAPI, or similar frameworks Hands-on experience with Linux systems Strong knowledge of Docker for containerization and deployment Proven experience deploying to at least one major cloud provider (GCP, AWS, or Azure) Familiarity with serverless architecture and related services Experience consuming and integrating AI/ML APIs (e.g., OpenAI, Hugging Face, Vertex AI) Practical experience with NoSQL databases (MongoDB or similar) Experience with Vector databases (e.g., Pinecone, Weaviate, Milvus, or pgvector) Some experience in frontend development with React (or other modern JavaScript frameworks) Solid understanding of software engineering best practices (version control, CI/CD, testing, documentation) Good problem-solving skills and ability to work in a collaborative team environment Benefits At Xenon7, we're not just building AI systems—we're building a community of talent with the mindset to lead, collaborate, and innovate together. Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn't just a knowledge-sharing forum—it's a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. Requirements Role Overview We are seeking a highly skilled Data scientisit with strong expertise in Python, Databricks, Snowflake, and AWS to design, develop, and deploy advanced ML solutions. The ideal candidate will possess deep functional knowledge of supply chain management—particularly inventory management—and demonstrate hands-on experience with key machine learning algorithms, including time series forecasting, regression models, and neural networks. This role requires end-to-end ownership, from business requirement gathering to solution delivery, along with exceptional communication and stakeholder management skills. Key Responsibilities Collaborate with business stakeholders to gather and analyze requirements, ensuring alignment with project objectives Architect and implement ML models for supply chain and inventory management use cases Work with Python, Databricks, and Snowflake for data preparation, modeling, and pipeline development Leverage AWS services to build, deploy, and scale ML solutions in production environments Apply advanced algorithms including time series forecasting, regression, LSTM, neural networks, and classification models Drive discussions, present solutions, and take full ownership of the end-to-end ML delivery process Continuously monitor, evaluate, and optimize model performance Required Technical Skills Programming & Data Platforms: Python, Databricks, Snowflake Cloud Services: AWS (ML and deployment-relevant services) Machine Learning Expertise: Time series forecasting, regression, LSTM, neural networks, classification models Functional Expertise Strong understanding of Supply Chain Management, with a focus on inventory management processes and challenges Professional Skills Proven ability to gather business requirements and translate them into technical solutions Strong problem-solving mindset with a proactive and ownership-driven approach Excellent communication skills (verbal and written) for engaging with technical and non-technical stakeholders Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field 5+ years of relevant experience in ML engineering, data science, or AI solution delivery Prior experience in supply chain ML applications is highly desirable
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. Requirements 2-5 years of experience in marketing operations, preferably in a B2B SaaS or tech-driven environment Proven track record in sales enablement , including collateral creation, white papers, and client-facing decks Hands-on experience with digital campaign execution across LinkedIn, Google Ads (Search, GDN, YouTube), and SEO/SEM optimization Strong familiarity with marketing automation tools like HubSpot, Zapier, Google Analytics, and scheduling platforms Experience in content distribution and repurposing , including blog management, social media scheduling, and editorial calendar upkeep Exposure to CRM systems and lead nurturing workflows, with an understanding of conversion tracking and funnel metrics Prior involvement in event coordination , podcast outreach, and email marketing campaigns Analytical mindset with the ability to generate and interpret weekly/monthly marketing performance reports Cross-functional collaboration experience with sales, product, and leadership teams Comfortable managing project timelines , vendor coordination, and ad hoc marketing initiatives Roles and Responsbilities Enablement & Collateral Development Prepare sales presentations and decks for client meetings Brief designers for custom visuals, infographics, and use cases Work on White Papers and industry reports to support sales efforts Collaborate on blog articles and website content aligned with sales objectives Ensure sales teams have the latest marketing materials and case studies Social Media & Content Distribution Publish and schedule LinkedIn posts, blogs and other content assets Manage content repurposing across multiple platforms Coordinate with designers and handle copywriting to ensure timely content delivery Maintain an editorial calendar to ensure content consistency Engage with relevant industry discussions on LinkedIn Monitor brand mentions and respond when necessary Campaign Execution & Management Implement and manage digital marketing campaigns across LinkedIn and Google (Search, GDN & YouTube).. Coordinate paid media efforts, including ad placements and budget tracking Track and optimize SEO and SEM strategies for visibility Monitor and adjust campaigns based on performance metrics Reporting & Analytics Track key marketing KPIs and generate weekly/monthly reports Analyze marketing data to optimize campaigns and outreach Provide insights and recommendations based on performance metrics Marketing Tech Stack, CRM & Lead Management Oversee marketing tools and automation systems Ensure the smooth integration of tools like Zapier, HubSpot, Google Analytics, Search Console and scheduling platforms. Stay updated on new tools that can optimize marketing efforts Research CRM tools we will be introducing to track and nurture leads Develop and maintain automated workflows for lead nurturing Organize and update contact lists for outreach and engagement Track and report on conversion rates from various marketing efforts Outreach Support (Events, Podcasts & Email Marketing) Research and identify relevant industry podcasts for CEO guest appearances Handle outreach to podcast hosts and event organizers Schedule and coordinate speaking engagements Assist in pre-event promotion and post-event follow-ups Set up and manage email campaigns for thought leadership and lead nurturing Optimize email sequences for outreach efforts Track open rates, CTRs, and conversion rates for improvement Business Development Tasks & Cross-Functional Coordination Conduct research on competitors and industry trends Provide insights on market positioning and differentiation opportunities Identify new marketing opportunities and emerging platforms Collaborate with internal teams (sales, product, leadership) to align marketing initiatives Maintain marketing project timelines and ensure deadlines are met Support ad hoc marketing initiatives as needed 2
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. Requirements Job Description We are hiring skilled software engineers with strong command-line and systems expertise. The ideal candidate is comfortable working in Unix-like environments, proficient with containerized workflows, and experienced in creating reliable, reproducible setups supported by clear documentation and testing. Why Apply Innovation Impact: Contribute to pioneering AI research with a YC-backed startup dedicated to advanced technology solutions Flexible Engagement: Work remotely with adaptable hours, allowing you to balance your professional expertise with other commitments Responsibilities Design multi-step command-line development exercises (e.g., debugging, refactoring, data processing, build automation) Develop deterministic test suites and solutions Containerize tasks with Docker to ensure consistency and reproducibility Write clear, detailed documentation to describe objectives and requirements Required Qualifications Proficiency with Linux/Unix command-line tools and Bash scripting 1+ years professional software-engineering experience Experience with Docker and containerized development environments Preferred Qualifications Familiarity with build tools (Make, CMake, npm, Cargo, Gradle, etc.) Experience troubleshooting CI/CD pipelines or development environments Exposure to multiple language ecosystems (Python, Go, Rust, C/C++)
Description About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems. Requirements Job Description - Generative AI Tester (5+ Years Experience) Role Overview We are seeking a skilled and proactive Generative AI Tester with over 5 years of experience in software testing and quality assurance, including 2-3 years focused on Generative AI systems . The ideal candidate will be responsible for validating AI-driven features, ensuring model reliability, and driving end-to-end testing workflows across enterprise-grade applications. Key Responsibilities Collaborate with product, data science, and engineering teams to understand AI use cases and define test strategies Design and execute test cases for LLM-based features such as summarization, classification, conversational flows, and content generation Validate model outputs for factual accuracy, tone, relevance, and compliance with domain-specific standards Develop automated test scripts and frameworks for prompt-response validation and regression testing Evaluate ML models using metrics like precision, recall, F1-score, and domain-specific thresholds Conduct integration testing across cloud platforms (e.g., AWS, Azure, GCP) and data environments (e.g., Snowflake, Databricks) Document test results, anomalies, and improvement suggestions in structured formats Ensure ethical AI practices and compliance with data governance policies Required Skills & Experience 5+ years in software testing, QA, or data validation roles 2-3 years hands-on experience testing Generative AI models (e.g., GPT, LLaMA, Claude) Strong proficiency in Python and experience with ML testing tools or frameworks Familiarity with cloud platforms (AWS, Azure, GCP) and data engineering environments (Snowflake, Databricks) Understanding of ML workflows including time series, regression, classification, and neural networks Excellent communication skills and ability to drive cross-functional discussions with ownership Preferred Qualifications Exposure to domain-specific AI applications (e.g., pharma, healthcare, finance) Experience with prompt engineering and LLM evaluation frameworks Knowledge of ethical AI principles and regulatory compliance (e.g., HIPAA, GDPR)