Role Description We are seeking a talented Generative AI Engineer to design, develop, and deploy state-of-the-art generative models (e.g., transformers, diffusion models, GANs) that power innovative AI-driven applications. The ideal candidate combines strong machine learning expertise with hands-on experience in CI/CD pipelines and a basic understanding of front-end development to help deliver end-to-end, production-ready AI solutions. - Design, train, and fine-tune generative models (e.g., GPT, DALL·E, Stable Diffusion). - Build scalable ML pipelines for training and inference, including CI/CD workflows. - Collaborate with frontend developers to ensure smooth integration of AI into user-facing products. - Develop RESTful APIs or services to serve models in production environments. - Conduct experiments, evaluate model performance, and iterate based on results. - Monitor, troubleshoot, and continuously improve deployed AI systems. - Stay current with research trends in generative models and foundation models. - Promote responsible and ethical AI practices in content generation and deployment. Qualifications - Bachelor’s or master's in computer science, AI, Machine Learning, or related field. - Strong proficiency with ML/DL frameworks like PyTorch or TensorFlow. - Proven experience with generative models (e.g., transformers, GANs, VAEs). - Programming skills in Python and familiarity with deployment on AWS/GCP/Azure. - Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins, Docker). - Basic frontend development knowledge (HTML, CSS, JavaScript, React or similar). Requirements - Experience in NLP, vision, or foundation models. - Experience in containerization and orchestration tools (e.g., Docker, Kubernetes). - Understanding MLOps and model monitoring tools. - Experience fine-tuning large language models (LLMs) and prompt engineering. Benefits - Be at the cutting edge of AI and product innovation. - Collaborate with a team passionate about shaping the future of generative tech. - Competitive compensation. Note: The Job description is subject to change according to organizational needs.

Role Description We're looking for telemarketing pros who know how to make things happen. If you've got 2+ years of experience in sales (inbound or outbound), love connecting with people over the phone, and thrive in a dynamic, fast-paced environment, we want you on our team. You'll be joining at an exciting stage, helping us build, grow, and shape what comes next. Qualifications - 2+ years of experience in telemarketing or phone-based sales. - Strong communication and closing skills. - Self-starter with a get things done attitude. - Comfortable working remotely and collaborating online. Benefits - Competitive pay. - Big growth potential - your impact will be visible from day one. - A chance to grow with a team that moves fast and celebrates wins.

Role Description LRS Consulting Services is seeking a Hands-on Network Team Lead for Contract to Hire, Remote (EST/CST) opportunity. This role offers the chance to apply your skills in support of meaningful work for one of our client partners. Senior hands-on leader for our client’s enterprise network across a large, multi-site footprint (600+ locations) plus datacenter and cloud connectivity. Owns network strategy, standards, and roadmap while leading day-to-day operations, reliability and a small team. Drives SD-WAN/branch modernization, the move toward SSE / Zero Trust, network automation, and observability. Partners closely with Security, Infrastructure, and managed vendors. Day to Day Responsibilities: - Lead the team and delivery: mentor engineers/contractors, enforce change-control and documentation, own projects (site builds, refresh/EoL), and lead incident escalation and fast response during incidents. - Own architecture and standards: reference designs, segmentation, and a multi-year roadmap; design sign-off for new sites and major changes. - Modernize the WAN/branch estate: optimize SD-WAN, firewalls, switching, and wireless across sites. - Advance cloud and SASE: design and operate AWS/Azure connectivity; mature Zero Trust with Security. - Strengthen automation and observability: maintain the network source-of-truth, extend automation, and keep monitoring, alerting, and SLAs healthy. Qualifications - Bachelor’s degree preferred - Must have a minimum of 7-year enterprise networking experience with senior/lead responsibility in a multi-site environment (100+ sites preferred; healthcare or other regulated industry a plus) - Proven team-lead / people-leadership experience - Strong hands-on expertise across routing & switching, enterprise firewalls, SD-WAN, and wireless - Cloud networking experience with AWS and Azure (hybrid connectivity) - SASE / Zero Trust architecture and network segmentation - Network automation (Python and/or Ansible) and modern observability/monitoring - Expert troubleshooting and a source-of-truth / change-control discipline - Experience with NAC preferred - Infrastructure-as-Code experience preferred - Unified communications/telephony experience preferred - IPAA experience a plus - CCNP/CCIE and an AWS or Azure networking certification a plus - Candidate must be able to effectively communicate in English (written & verbal) Requirements - The base range for this contract position is $65 - $75 per hour, depending on experience. - Our pay ranges are determined by role, level, and location. - The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. - Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Benefits - LRS is an equal opportunity employer. - Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status. - In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. - LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). - AI may be used in the hiring process solely in support of the assessment of candidate qualifications. - All decisions in the hiring process are made by LRS employees. - If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. - If you have any questions, please contact us by clicking here.

Role Description We are partnering on an advanced AI research initiative focused on improving mathematical reasoning capabilities in next-generation AI systems. The project involves developing and evaluating challenging mathematics benchmarks used to assess how effectively AI models solve complex, multi-step reasoning problems. We are looking for candidates with strong backgrounds in competitive mathematics and proof-based reasoning. This role is ideal for individuals with experience in mathematical competitions, advanced mathematics studies, or mathematics education. Responsibilities: - Design original competition-level mathematics problems - Create challenging reasoning tasks across Algebra, Number Theory, Combinatorics, and Geometry - Write complete, rigorous, and self-contained mathematical solutions - Use LaTeX to properly document mathematical expressions and proofs - Evaluate AI-generated solutions for correctness and logical consistency - Identify reasoning errors, incorrect assumptions, and gaps in proofs - Classify problems by topic, difficulty, and mathematical domain - Contribute to the development of advanced mathematical evaluation benchmarks - Collaborate with reviewers to improve quality and consistency of evaluations Commitments Required: 20-40 hours/week Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 3 months Location: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Nigeria, Turkey, Vietnam Selection process: home assignment Qualifications - Strong competitive mathematics background (AIME, HMMT, IMO, national Olympiads, or equivalent) - Advanced knowledge of Algebra, Number Theory, Combinatorics, and Geometry - Bachelor's or Master's degree in Mathematics, Applied Mathematics, Statistics, Engineering, or a related field - Experience writing mathematical proofs, solutions, or technical content - Proficiency with LaTeX