• Розробка, тренування та оптимізація моделей для Virtual Try-On та автоматичної генерації аутфітів • Проектування архітектури AI Stylist з командою • Оптимізація перформансу та зниження витрат на інфраструктуру • Побудова Data-пайплайнів для моди та користувацьких вподобань • Участь у наймі та менторстві молодших інженерів • Співпраця з Product-командою

Role Description You will join a team of industry veterans and Databricks MVPs. We look for engineers who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges for Fortune 500 clients using features often before they are widely available. Our client, a premier professional sports organization, is at a critical technical inflection point. With over 60 machine learning models currently driving player sourcing, development, and evaluation, the organization is migrating its entire production ecosystem from Azure ML Foundry to Databricks. We aren't just looking for someone to move files; we need a strategic MLOps Engineer to architect the migration framework, automate the "un-automatable," and elevate the organization's MLOps maturity. You will work as an embedded advisor alongside the client’s internal team to ensure that the future of their player analytics is scalable, observable, and rigorous. What You’ll Do - Migration Architecture: Standardize and document a repeatable "migration blueprint" to transition 60+ models from Azure ML Foundry into Databricks without service interruption. - Automated Validation: Replace manual, incomplete testing with robust, automated infrastructure. You’ll build the frameworks that ensure migrated models perform identically (or better) in their new home. - Lifecycle Management: Define and implement the long-term maintenance strategy, including sophisticated drift detection, accuracy monitoring, and automated retraining cadences. - Knowledge Leadership: Act as a peer-coach to the client’s internal MLOps person, transferring knowledge and building a shared, high-maturity capability. - Cross-Functional Collaboration: Partner closely with the existing embedded Data Engineering team to ensure seamless data flow via Delta Lake and Spark. Qualifications - Databricks ML Mastery: Deep experience with the Databricks ecosystem, specifically MLflow (tracking, registry, deployment) and Model Serving. - Migration Experience: A proven track record of moving production models across platforms (e.g., from SageMaker or Azure ML to Databricks). - Production Observability: Expertise in building monitoring stacks for drift detection, model health, and real-time alerting. - ML Testing: Proficiency in building automated validation and integration testing pipelines specifically for ML workloads. - Azure Infrastructure: Familiarity with Azure ML / Azure ML Foundry as a source platform. Requirements - Domain Passion: Experience in or a deep interest in sports analytics (scouting, biomechanics, or player performance). - Data Fluency: Strong grasp of PySpark and Delta Lake. - DevOps DNA: Experience building CI/CD pipelines for ML using Azure DevOps. - Certification: Databricks Machine Learning Professional certification. Benefits - Competitive Salary: Based on your experience and skills. - Stable Employment: Contract signed with our Polish entity (Entrada AI Poland). - 100% Remote: Full flexibility to work from anywhere in Poland. - Apple Hardware: Macbook Air M4 15" provided. - Referral Bonus: Bonus for bringing other top-tier engineers to the team. - Professional Growth: Databricks certification cost coverage. - Opportunity to present: At industry conferences (building your personal brand). - Direct collaboration: With Databricks MVPs and product teams.

Description Innovexis is looking for a passionate and motivated Machine Learning Intern to join our innovative team in Bengaluru. This remote internship offers a unique opportunity to gain hands-on experience in the exciting field of education management through the application of machine learning technologies. As a Machine Learning Intern, you will assist in the development and implementation of machine learning models that enhance our educational platforms. You will collaborate with experienced professionals to work on real-world projects that aim to improve learning outcomes and optimize educational processes. This internship will provide you with invaluable skills and insights into the intersection of technology and education. We offer a competitive salary range of ₹20,000 - ₹25,000 per month, along with a supportive environment for personal and professional growth in the fast-evolving education sector. Responsibilities - Assist in the design and development of machine learning algorithms - Analyze datasets to extract meaningful insights - Collaborate with the data science team to implement models - Participate in research and development of new machine learning techniques - Test and validate machine learning models for accuracy and performance - Document processes and results for future reference - Stay updated on the latest trends in machine learning and education technology - Contribute to team meetings and brainstorming sessions Requirements - Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field - Basic understanding of machine learning concepts and algorithms - Familiarity with programming languages such as Python or R - Experience with data analysis and visualization tools - Strong analytical and problem-solving skills - Excellent communication and teamwork abilities - Ability to work independently in a remote environment - Enthusiasm for learning and applying new technologies

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Romania. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Artificial Intelligence/Machine Learning Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and improvement. You will drive the development of cutting-edge solutions that enhance the performance, scalability, and reliability of our machine learning systems. In collaboration with the Data Science team, you will ensure that models are deployed seamlessly, optimised for production environments, and meet the highest standards of efficiency and accuracy at scale. You will also be responsible for architecting and overseeing the development of complex machine learning pipelines, managing both real-time and batch inference systems that are integral to our predictive platforms. You will work closely with cross-functional teams to anticipate future needs, recommending and implementing long-term solutions that align with our business objectives. As a senior member of the team, you will mentor and guide mid-level Machine Learning Engineers, providing technical leadership and helping to shape best practices across the organisation. Your expertise will play a key role in conducting comprehensive code reviews, identifying areas for improvement, and fostering a culture of continuous learning and collaboration. Let's empower our global Artificial Intelligence/Machine Learning influence together! Responsibilities: - As a senior member of the team, you will mentor and guide mid-level Machine Learning Engineers, providing technical leadership and helping to shape best practices across the organisation. Your expertise will play a key role in conducting comprehensive code reviews, identifying areas for improvement, and fostering a culture of continuous learning and collaboration - Beyond technical execution, you will be expected to communicate effectively with both technical and non-technical stakeholders, translating complex machine learning concepts into actionable business insights. You will present innovative solutions to key stakeholders, making compelling cases for new initiatives and guiding the strategic direction of our machine learning efforts - Finally, you will lead the integration of new technologies and tools into our infrastructure, staying ahead of industry trends and ensuring that our machine learning frameworks remain at the cutting edge of technological advancements Requirements: - Expert-level proficiency with cloud technologies (ideally AWS) and extensive experience with containerization and orchestration (preferably Kubernetes) - Deep understanding of software development, DevOps, and MLOps best practices, with a proven track record of applying them in production - Extensive experience in designing, deploying, and maintaining scalable models and services in production environments - Strong understanding of Machine Learning, with the ability to collaborate deeply with Data Scientists on model deployment and optimization - Experience with MLflow for experiment tracking and model management, and Airflow or Dagster for orchestrating end-to-end ML pipelines and workflows - Significant experience with Data Engineering, Kafka, and stream processing - Proficiency in Python and SQL; or any other programming languages is a strong plus What`s in it for you? - Strong community: Work alongside top professionals in a friendly, open-door environment - Growth focus: Take on large-scale projects with a global impact and expand your expertise - Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications - Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies - Enjoy radical flexibility – work remotely or from an office, your choice - Care: Medical subscription to Regina Maria, meal tickets of 16 ron net/day worked About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In Romania, we welcome top-tier tech talent — whether from our Bucharest office or fully remotely. Tap into deep industry knowledge, grow your career, and make an impact in an empowering environment. Want to learn more about us? Follow us on Instagram, Facebook, LinkedIn. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.