Role Description We at Coforge are hiring for the position of Senior Machine Learning Engineer with the following skill set. - Lead the design, development, and optimization of scalable data engineering solutions and cloud-based data pipelines. - Collaborate with cross-functional teams to drive project delivery, ensure technical alignment, and support overall team execution. - Develop and maintain modern data platforms using technologies such as AWS, Snowflake, DBT, Airflow, Python, Docker, and Infrastructure as Code tools. - Contribute to AI-driven initiatives by implementing and enhancing LLM, RAG, and intelligent data solutions using modern AI frameworks and tools. Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. - 8+ years of experience in Data Engineering or related technical roles. - Strong hands-on experience with Python and modern data engineering practices. - Experience with cloud platforms such as AWS and data technologies including Snowflake, DBT, Airflow, and Docker. - Experience with Infrastructure as Code tools such as Terraform or equivalent technologies. - Strong understanding of data architecture, ETL/ELT pipelines, and scalable distributed systems. - Hands-on experience with AI/LLM concepts including RAG implementations and AI-driven workflows. - Familiarity with modern AI frameworks and tools such as LangChain, vector databases, MCP servers, or similar technologies. - Experience working in Agile/Scrum environments and collaborating across technical teams. - Strong leadership, communication, analytical, and problem-solving skills with the ability to take ownership at a project level. Requirements - Experience with AWS Bedrock and AI Knowledge Bases. - Familiarity with alternative data orchestration and database technologies such as Dagster, PostgreSQL, SQL Server, or CloudFormation. - Knowledge of CI/CD pipelines and DevOps best practices. - Experience mentoring technical teams or leading engineering initiatives. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Role Description We're in search of a talented Staff MLOps Engineer to join our team. This role is pivotal in spearheading the development and maintenance of our machine-learning infrastructure and processes. If you're passionate about optimizing machine learning systems for scalability, reliability, and efficiency, and have a strong background in data engineering and DevOps, we want to hear from you. In your daily routine, you will: - Lead the design, implementation, and maintenance of a robust infrastructure for deploying, monitoring, and managing machine learning models in production environments. - Develop and automate end-to-end pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. - Collaborate closely with data scientists to understand model requirements and optimize model performance for production use. - Establish and maintain CI/CD pipelines to streamline the deployment process and ensure reproducibility. - Design and implement monitoring and alerting systems to track model performance and health, and proactively identify and address issues. - Optimize system architecture and resource utilization to ensure scalability, reliability, and cost-effectiveness. - Stay abreast of industry best practices and emerging technologies in MLOps, data engineering, and DevOps, and integrate them into our processes and infrastructure. - Provide technical leadership and mentorship to junior team members, and drive innovation and continuous improvement across the organization. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. - 6+ years of experience in MLOps, data engineering, and/or DevOps roles. - Proficiency in programming languages such as Python, Java, Scala, or Ruby, we work with Python primarily. - Experience working with large language models (LLMs) and LangChain, or similar tools, a plus. - Extensive experience with cloud platforms such as AWS, Azure, or GCP, and proficiency in using cloud services for storage, compute, and orchestration. - Strong understanding of containerization and orchestration technologies such as Docker, and Kubernetes. - Experience with infrastructure as code (IaC) tools such as Terraform, or Terragrunt. - Solid background in designing and optimizing data pipelines using technologies like Apache Airflow, or similar. - Exceptional analytical and problem-solving skills, with a proactive approach to identifying and resolving issues. - Excellent communication and collaboration skills, with the ability to lead cross-functional teams and mentor junior members effectively. Requirements - Building a product that really improves users’ lives (70k users, 4.6 rates at App Store). - Being a part of a global team that builds a diverse culture in our company. - Working with more than 200 engineers highly qualified and engaged in improving the life of our Pros. - Having a real impact on technical decisions without breaking through the corporate, glass ceiling. - Being in direct contact with the community of users, who are eager to share their feedback. - Rapidly growing teams that create a defined career path. Benefits - Remote environment totally built to make you feel that we are all together in one space without leaving your home office! - Self Managed PTO - Beach? Mountains? Camping? Discovering new experiences? You are free to take time out as you need! - Flexible work hours - We believe that you can reach your professional and personal goals working with us and encourage you to have a work-life balance! - A culture built on innovation that values big ideas - We are always open to new ideas that will improve the life of our Pros! - Work in your own time zone - Because we don’t think that you should miss those memorable moments with your friends and family! - Newest MacBook (or PC if you prefer!) + Setup Fee ($500) - What is an engineer without the right tools right? Here in HCP, you can choose your computer and set up your home office!

• Design, build, and maintain production-grade ML pipelines on Databricks. • Operationalize ML models, including deployment, monitoring, and full lifecycle management. • Build and maintain CI/CD pipelines for ML workflows. • Develop and manage real-time and streaming data pipelines. • Collaborate closely with Data Scientists to efficiently productionize models. • Implement model versioning, experiment tracking, and ensure reproducibility. • Define and enforce ML best practices, governance, and quality standards. • Monitor model performance and data drift, and implement automated retraining strategies. • Optimize performance, scalability, and cost of distributed workloads. • Contribute to platform design for low-latency inference and scalable model serving.

Role Description Within the Accounting function at BenchPrep, you'll play a pivotal role in our finance team. Your focus will be on maintaining accurate financial records, preparing reports, analyzing data, and ensuring regulatory compliance. You'll contribute to budgeting, forecasting, audits, and process improvements, supporting our financial health and strategic decision-making. The ideal candidate has a strong background in accounting, financial analysis, and reporting, along with excellent analytical skills, attention to detail, and the ability to communicate financial information effectively across the organization. Proactivity, problem-solving abilities, and a commitment to continuous improvement are also essential. - Manage accounting function including account reconciliations, journal entries, AR, AP, and Billing - Analysis and review of company expenditures, confirming proper allocation of expenses to the various departments, and reporting to these departments as necessary - Review transactions to ensure accounting treatment is in accordance with GAAP and company policies and procedures - Analyze billing transactions to ensure proper allocation of revenue recognition policies - Review general ledger accounts and making all necessary journal entries including posting monthly, quarterly, and yearly accruals - Assist in building financial statements including balance sheet, income statement, and changes in financial position, as well as budget variance analysis - Assist in the design and preparation of budgets for review by management - Prepare year-end schedules for the annual tax returns - Look for ways to improve upon accounting processes and procedures Qualifications - Bachelor’s degree in accounting; CPA preferred - 3-5 years (Staff Accountant), or 5-8 (Sr Accountant) years in accounting or auditing; public accounting experience preferred - Team player with a positive attitude towards contributing and learning - Thorough knowledge and experience in the areas of financial statement preparation, GAAP, and revenue recognition - Strong verbal/written communication skills - Excellent analytical and problem solving skills - Ability to work well independently and in a team environment - Self starter, quick learner, and ability to multitask on a regular basis - Detail-oriented with excellent organizational skills and deadline driven - Capacity to thrive in a fast-paced environment - Strong sense of ownership on issues and following through to completion - Advanced proficiency with Microsoft Excel - Experience working in accounting systems (NetSuite, Intacct, Quickbooks, etc.) strongly preferred Benefits - Medical and ancillary benefits - Potential for yearly bonus - Stipends for work-from-home expenses - Flexible paid time off (our version of unlimited PTO) - Annual professional development stipend dollars - Competitive base salary Company Description We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability and omni-channel delivery. We’re committed to helping people learn better, and that starts with our own people. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. At BenchPrep, we pride ourselves on offering a great total rewards package to each employee, including a competitive base salary. The salary range for this position is between $65,000-$85,000, and is set based on Chicago market data.