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: We are seeking a skilled Software Engineer to lead the development of MLOps automation solutions within the Databricks platform. This role is pivotal in enhancing our machine learning operations by integrating robust automation processes. The role is a CONTRACTING (6 months and renewable) role with US company. Accepting canddiates from Europe, Middle East and India, who can overlap IST working hours. Accepting candidates that can be available to start by July 1st. No agency candidates accepted. Key Responsibilities: Develop and implement automation for model promotion workflows using Databricks Model Registry and MLflow. Design and deploy scalable model serving solutions leveraging Databricks Model Serving and AWS services. Establish comprehensive monitoring systems for the Databricks Lakehouse to ensure data quality and model performance. Automate Databricks workflows for efficient execution of notebooks, scripts, and ML pipelines. Utilize AWS Lambda and API Gateway to create event-driven architectures that trigger Databricks jobs and manage model endpoints. Collaborate with cross-functional teams to integrate MLOps solutions seamlessly into existing infrastructure Requirements 6+ years of experience in software enigneering Proficiency in Python, with a strong background in developing automation scripts and tools. Hands-on experience with AWS services, particularly Lambda and API Gateway, for building serverless applications. In-depth knowledge of Databricks, including experience with MLflow, Model Serving, and Lakehouse architecture. Familiarity with MLOps practices and tools for continuous integration and deployment of machine learning models. Experience in setting up monitoring and alerting systems for data pipelines and ML models
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, 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 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 1.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. 2. 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. 3. 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. 4. 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. 5. 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. 6. 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. 7. 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