Java Backend Developer (Full Time)

We’re seeking a highly skilled AI Engineer. Our client within the technology space is offering innovative projects that solve real-world problems with AI. This role will provide opportunities to work with cutting-edge technologies and deliver impactful AI solutions. Key Responsibilities: Develop, train, and deploy machine learning (ML) and deep learning models to solve industry-specific challenges. Design scalable data pipelines and preprocess datasets for training and inference. Collaborate with cross-functional teams to integrate AI models into existing systems. Research and implement state-of-the-art algorithms for areas like NLP, computer vision, predictive analytics, and generative AI. Conduct error analysis and improve models to address bias, fairness, and explainability. Document technical processes and results, ensuring knowledge sharing within teams. What We’re Looking For: Technical Skills: Proficiency in programming languages like Python, R, or Java. Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn. Strong knowledge of data preprocessing, feature engineering, and model evaluation metrics. Expertise in at least one domain: Natural Language Processing (NLP) Computer Vision Reinforcement Learning Generative AI (e.g., GPT, Stable Diffusion) Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment. Strong grasp of mathematics and statistics (e.g., linear algebra, probability, optimization). Soft Skills: Ability to explain complex AI concepts to non-technical stakeholders. Strong problem-solving and critical-thinking skills. Passion for continuous learning and staying updated with the latest AI trends. Requirements Preferred Qualifications: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Industry certifications in AI/ML (e.g., AWS AI/ML Certification, Coursera AI Specializations). Previous experience in sectors like healthcare, finance, retail, or autonomous systems is a plus. Benefits Exposure to international markets and the opportunity to work with a diverse team Flexible remote working arrangements Innovative environment At Substance, we’re all about action, not just talk. If your profile aligns with what we need, you’ll hear from us within 1-2 weeks. If not, no fluff—just know we value your interest and will keep you in mind for future roles where your skills can make an impact. We focus on real connections and meaningful matches, so when the right opportunity comes, we’ll be ready to make it happen. Getsubstance.co Pte. Ltd. | EA License No: 24C2398

BlueFlag is seeking an ambitious, senior-level Cloud Solutions Architect specializing in Azure to join our dynamic team. This opportunity is remote. As a key player in our cloud infrastructure initiatives, you'll have the opportunity to architect, implement, and optimize cloud solutions for large enterprise environments, including a cutting-edge data and analytics platform for the Department of Veterans Affairs. What You'll Do Lead cloud architecture design and solutioning for a large data and analytics platform, with emphasis on Azure-based services including Azure Databricks, Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, Azure Kubernetes Service, and Azure Cognitive/ML Services. Drive the migration of large, complex workloads from the legacy warehouses and on-premises VA systems into the cloud-based platform, ensuring security, compliance, and performance optimization. Architect data ingestion, processing, and integration patterns using batch, near-real-time (GoldenGate), streaming (Event Hubs), SFTP, and API-based ingestion methods. Support data preparation, wrangling, transformation, enrichment, normalization, and integration pipelines leveraging Databricks, Synapse, and Starburst. Define and implement solution accelerators (e.g., Databricks notebooks, ingestion patterns, reporting and ML workspace templates) to support repeatable, scalable implementations across workstreams. Partner with customer success teams to support onboarding of VA customers, including migration of workgroups with extensive and complex VM/application footprints. Provide architectural guidance for system-to-system integrations using APIs, SHIR (Self-Hosted Integration Runtime), and various API frameworks. Ensure Identity and Access Management (IAM) and Role-Based Access Control (RBAC) models are consistently applied across Azure Entra (Active Directory), service principals, managed identities, and data lake ACLs. Work closely with platform engineers, data governance engineers, data management engineers, and application development teams to design, review, and improve deployment patterns. Align architecture decisions with VA security and compliance requirements, including FISMA, NIST 800-53, FIPS 199/200, VA Handbook 6500, and the VA Authority to Operate (ATO) boundary constraints. Provide architectural input into platform roadmap planning, ensuring that DevOps, initiatives, and customer projects are aligned with VA’s strategic priorities and capacity planning processes. Document all solution architectures in the platform's unified architecture framework within Confluence, ensuring traceability across enterprise, platform, data, integration, and consumption layers. Mentor engineers, data scientists, and other technical staff in cloud-native architecture best practices, automation, and data product development. Research and evaluate emerging cloud technology trends and best practices to enhance company offerings. Why Join BlueFlag At BlueFlag, we're passionate about leveraging cutting-edge technology to make a real difference. You'll be at the forefront of cloud innovation, working on projects that directly impact people's lives. We offer a high-growth, entrepreneurial environment that values fresh ideas and authentic teamwork. If you're ready to take your cloud engineering career to new heights and contribute to meaningful projects that push the boundaries of technology, we want to hear from you. Join BlueFlag and be part of a team that's shaping the future of cloud solutions! Requirements Education & Experience Bachelor’s degree in Computer Science, Information Systems, or related field. 8+ years of experience in cloud architecture, with at least 5 years focused on Microsoft Azure. Demonstrated experience leading large-scale cloud migration projects, including VM and application migrations from on-premises environments to Azure. Proven expertise in data engineering and analytics workloads, with hands-on experience in: Azure Databricks (data processing, ML pipelines, advanced analytics) Azure Synapse Analytics (SQL Pools, big data analytics, enterprise data warehouse) Azure Data Factory and Event Hubs (batch, near real-time, and streaming ingestion) Azure Data Lake Storage Gen2, Neo4J, and SQL databases Technical Skills Strong background in cloud-native solution architecture within multi-cloud environments (Azure Gov, AWS). Experience with infrastructure-as-code (Terraform, GitHub Actions) for provisioning and deployment automation. Deep understanding of data governance frameworks (Collibra, Immuta for ABAC, RBAC group models in Azure Entra). Knowledge of system security and compliance requirements in a federal environment, including NIST 800-53, FISMA, FedRAMP High, and VA Handbook 6500. Familiarity with disaster recovery, system integrity, and secure communications controls (e.g., Contingency Planning, System and Information Integrity, System and Communications Protection SOPs). Professional Skills Experience leading cross-functional teams (architecture, DevOps, data governance, application development) in a program environment. Strong client engagement skills, with ability to work directly with VA stakeholders, data providers, and consumers to translate business needs into technical solutions. Proven ability to design scalable, secure, and compliant data and analytics solutions that align with organizational strategy and regulatory requirements. Excellent communication skills to support stakeholder engagement, intake processes, and solution handoffs. Certifications (preferred) Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate or Azure Data Scientist Associate Experience with Azure security certifications (e.g., SC-100, SC-200) is a plus US Citizen: Must be a citizen of the United States. Security Clearance: Must be able to obtain a public trust clearance. Must be eligible to work in the United States. Benefits Competitive salary Generous annual leave and paid holidays Comprehensive group health and dental plans 401(k) with company match Life insurance and AD&D coverage Ongoing training and professional development opportunities