Machine Learning Engineer Location: US / Canada (Eastern Time) - Home-based Job Type: Full-time, Permanent About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Job Summary We are looking for a savvy Machine Learning/Data Engineer to join our growing team of data experts. The hire will be primarily responsible for AI/ML projects on AWS, leveraging native services as well as custom-built models to deliver predictive insights to our customers. In addition, this hire will also support migrating to the cloud, optimizing our customers’ databases and data flows, and enriching our operational and functional data flow with AI/ML algorithms. The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools. The candidate enjoys optimizing data systems and building them from the ground up. The Machine Learning Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers’ data architecture to support our next generation of products and data initiatives, and machine learning systems. Responsibilities - Keep our customers’ data separated and secure to meet compliance and regulations requirements. - Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud (mainly AWS) migration and ‘big data’ technologies. - Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems. - Design, Build and Operate large, complex data lakes that meet functional / non-functional business requirements. - Optimize various data types ingestion, storage, processing, and retrieval from near real-time events and IoT to unstructured data as images, audio, video and documents, and in between. - Use Jupyter Notebooks to build and deploy ML models. - Leverage AWS AI/ML pre built solutions to accelerate work for customers - Work with customers and internal stakeholders, including the Executive, Product, Data, Software Development, and Design teams, to assist with data-related technical issues and support their data infrastructure and business needs. Requirements Summary of Key Requirements - We seek a candidate with 3+ years of experience in a Data Scientist/Machine Learning Engineer role who has attained a Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools: - Experience with big data tools: Spark, ElasticSearch, Hadoop, Kafka, Kinesis etc. - Experience with relational SQL and NoSQL databases, such as MySQL or Postgres and DynamoDB or Cassandra. - Experience with AWS cloud services: EC2, RDS, EMR, Redshift etc. - Experience with functional and scripting languages: Python, Java, Scala, etc. - Experience with various ML models for classification, scoring and more. - Experience with Deep Learning Neural Networks (Convolution, NLP etc.) - Experience with AWS AI/ML Services - Experience with Python coding - Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. - Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. - Strong analytic skills related to working with unstructured datasets. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. - Experience supporting and working with external customers in a dynamic environment. Certifications - AWS Machine Learning Specialty (Strongly Preferred) - AWS Solutions Architect - Associate (Strongly Preferred) Why work for us? Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Peraton is seeking a mid-level AI/ML Engineer to design, develop, and deploy scalable AI/ML and generative AI solutions in support of a federal customer mission. This role focuses on production-ready AI systems, LLM-based workflows, and automation solutions that enhance operational performance and decision-making. - Design and implement generative AI solutions from pilot through production deployment. - Develop agent-based LLM workflows with structured outputs and tool integrations. - Perform advanced data modeling, predictive analytics, and statistical analysis. - Deploy AI/ML models using modern DevOps practices (Git, CI/CD). - Integrate AI capabilities with enterprise systems and cloud environments. - Implement monitoring, guardrails, and governance controls for responsible AI. - Provide technical guidance and collaborate across multidisciplinary teams. Qualifications - Basic Qualifications: - Bachelor’s degree with 8+ years of experience or Master’s degree with 6+ years experience in a STEM discipline or high school diploma/equivalent and 12 years of experience - Demonstrated experience building and deploying AI/ML solutions in production environments. - Strong proficiency in Python; experience with APIs and cloud AI platforms. - Experience with LLM platforms (e.g., Azure OpenAI, GPT models, Claude, Gemini). - Experience with RAG architectures and advanced prompt engineering. - U.S Citizenship; must have the ability to obtain/maintain a Public Trust clearance. - Preferred Qualifications: - Experience with TensorFlow, PyTorch, or similar ML frameworks. - Experience with agent frameworks or autonomous AI workflows. - Familiarity with Anthropic MCP or similar orchestration protocols. - Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer). Company Description Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Target Salary Range $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence to create a world‑class customer experience. We aim to redefine the customer experience, ensuring consistency and operational efficiency across all touchpoints and channels. Become a part of our story. At Allstate Technology Solutions, you’ll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what’s possible. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery. About the Role As a Machine Learning Engineer at Allstate, you will design, build, and operate machine-learning models that deliver real business impact. You’ll work across the full ML lifecycle—including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement. Our team emphasizes pair programming and test-driven development to ensure high-quality, reliable solutions. What You’ll Do (Responsibilities Vary by Level) Entry-Level (Consultant II): Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices. Mid-Level (Senior Consultant I): Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams. Senior-Level (Senior Consultant II): Lead end-to-end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction. Education Bachelor’s degree (STEM preferred). Experience • Entry-Level: 0–2 years (academic, internship, or professional). • Mid-Level: 3+ years building ML solutions. • Senior-Level: 3+ years deploying and operating ML systems. Technical Skills • Python (pandas, numpy, scikit-learn) and software engineering foundations. • ML libraries: -Experience with libraries such as scikit-learn, XGBoost, LightGBM required. -Experience with PyTorch/TensorFlow is a plus. • SQL for data exploration and feature engineering. • Knowledge of model evaluation and interpretability (e.g., SHAP). • Willingness to learn Terraform, Java, and Typescript (no prior experience required). Soft Skills • Strong communication and collaboration abilities. • Ability to work with technical and non-technical partners. • Leadership and mentoring experience for senior roles. Preferred Qualifications • Spark or distributed computing. • Familiarity with APIs, containers, CI/CD, monitoring, drift detection. • MLflow, SageMaker, Azure ML, Docker, CI/CD. • AWS, Azure, or GCP cloud experience. • Experience with deep learning, NLP, computer vision, or LLM/RAG. • Prior ownership of end-to-end ML products. • Insurance or financial services experience. #LI-PG1 Skills Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Model Building, Model Development, Model Evaluation, Python (Programming Language), PyTorch, Structured Query Language (SQL), Tensorflow Compensation Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

HockeyStack is building the AI system that runs B2B sales and marketing. We integrate with every tool across the go-to-market stack, combine it with first and third-party data, and build the most complete event-level data foundation in the industry. On top of it, we: - Mine every won and lost deal to reverse-engineer the patterns that drive revenue, then deploy agents that guide reps through the optimal process deal by deal, in real time. - Surface what's really driving pipeline and what isn't, replacing weeks of manual analysis with answers on demand. - Learn from every outcome and every rep interaction, getting sharper over time — not just when someone rewrites a prompt. We're not wrapping LLMs around prompts and guessing. We've built a structured reasoning layer that makes agent execution deterministic and self-improving — something no other player in the market has done. Y Combinator alum. $26M Series A led by Bessemer Venture Partners. 3× YoY growth. 8-figure ARR. 60+ TB of GTM data processed. We move fast and hire people who are ready to win. This role is open to being located in our San Francisco HQ or fully remote. 🚀 Your Mission As a ClickHouse Staff Engineer, your mission is to turn massive volumes of GTM data into a fast, reliable, and accurate analytics infrastructure that our customers and our AI Agents depend on every single day. Build a data platform that can enrich 10s of Terabytes an hour, insert 10M records a second, and process complex queries for human & Agents. Push ClickHouse to its performance limit while achieving 99.999% uptime. 🔧 What You’ll Do - Manage and scale ClickHouse clusters (replication, sharding, distributed tables) to 100s of TBs. - Maintain data consistency across replicas and shards. - Profile and optimize heavy ETL/ELT queries and table engines. - Tune key configs (max_threads, max_memory_usage, merge settings, I/O schedulers). - Benchmark cluster performance (ingest throughput, query latency, merge rate). - Proactively work with engineers to optimize schema and query patterns. - Improve observability stack on DataDog. - Set up alerting on query performance, merges, replicas, and disk usage. - Own backup and restore processes (to secondary cluster and S3). - Plan and execute upgrades with zero or minimal downtime. - Test and document disaster recovery scenarios. - Own security within ClickHouse, including access control, encryption where applicable, and adherence to internal and regulatory data protection requirements. - Resolve production issues and figure ways to prevent them. - Participate in the Architecture Review process to ensure major changes to the product portfolio have data flow and ClickHouse considerations represented at the very start. 🧬 What We’re Looking For - Ownership-first mindset — you take initiative, move fast, and figure things out - Thrive in early-stage, high-urgency environments where speed and impact matter - Curious, self-aware, and feedback-driven — you bring energy, not ego - See this role as a defining chapter — not a stepping stone or side quest - 5+ years hands-on ClickHouse experience and 8+ years working as a DBA with distributed OLAP databases - Have dealt with data volume at scale (i.e. 100s of TBs) & understand the challenges this brings - Strong systems background with deep understanding of IO performance and network protocols, specifically for high-volume high-throughput analytical workloads (reads and writes!) - Proficiency in writing and optimizing complex SQL queries - Experience with Linux server administration and storage (i.e. RAID) - Experience with monitoring/alerting tools is a strong plus, particularly for database metrics and observability - Familiarity with data infrastructure, reporting systems, or analytics-heavy SaaS products ✨ Why Join Now? We’re at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. You’ll be joining a company with real traction, rapid growth, and meaningful backing—where every person still shapes the outcome. This isn’t just a job. It’s a chance to build something category-defining with people who care deeply about doing it right. The salary range for this role is $200,000– $300,000 USD base pay annually, depending on experience and qualifications. HockeyStack is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We celebrate diversity and are committed to fostering an inclusive environment for all employees.