Pipeline Security Supervisor (Port Harcourt)

New York Sports Club and our family of brands is a long-standing, dynamic fitness club brand with locations in the Northeast. We consider ourselves your local neighborhood gym! It is our goal to provide our members with fitness results, positive change and personal connections through innovative programming and knowledgeable staff. Our mission is to “Improve Lives Through Fitness”. Our success comes from continuously modeling and promoting the mission, values, and guiding principles with pride and integrity. ROLES AND RESPONSIBILITIES The Service and Sales Representative position provides a welcoming and safe environment for members and guests through a high level of customer service. The Service and Sales Representative’s interactions with members and guests contribute to overall sales and member satisfaction/retention. CUSTOMER SERVICE • Provide a legendary member experience by consistently delivering a high level of service to all who enter the club. • Answer phones and assist guest/members with various questions including memberships, ancillary services, and billing inquiries. • Enroll new members and explain terms of all memberships. • Ensure a quick response time to member feedback, complaints, and escalate issues to club management as necessary. • Effectively communicate new promotions and services at point of contact, so that the member gets the most out of their membership. CLUB OPERATIONS • Ensure a consistent attention to detail and cleanliness at the Welcome Desk at all times, providing a friendly/inviting customer experience. • Efficiently check in and handle routine member service tasks using club systems such as, but not limited to, creating online accounts, resetting passwords, updating credit cards, collecting past due balances, processing cancellation requests, and managing group exercise class reservations. • Assist management in administrative tasks including, but not limited to, billing calls and confirming appointments. • Always report to work on time and in proper uniform to best represent the brand. • Perform club/locker room walkthroughs as directed by management to ensure the facility is presenting at its best. • Quickly inform management of any maintenance or equipment issues that are visible to members. • Review and adhere to all NYSC documents including but not limited to policies and procedures, employee handbook, state supplement, codes of conduct, etc. • Maintain an acute awareness for all loss prevention matters (i.e., emergency doors locked, alarms functional). POSITION REQUIREMENTS & EXPERIENCE • 1+ years of face-to-face customer service experience, preferably in a gym or retail environment. • Child & Adult AED/CPR certified. • Ability to proficiently use our POS and membership system, timekeeping and any other computer programs required to meet the business needs of the customer. • Successful track record of working in a team-oriented environment. • Ability to handle challenging member issues with patience, tact, and the utmost professionalism. • Demonstrated communication and interpersonal skills. • Prolonged periods of standing at the Welcome Desk and working on a computer during the shift. • Physical demands include ability to lift up to 20 pounds with or without reasonable accommodations, walk through all areas of the club, climbing stairs (where applicable), and bending and lifting (e.g., picking up towels, restacking weights, moving equipment as needed). The company reserves the right to change them as business needs require and that jobs may require other tasks as assigned to the employees by the company.

RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist. We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company. Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click. RemoFirst manages employees and contractors for Fortune 500 companies (e.g., Microsoft, Mastercard) and the best startups worldwide (e.g., TransferGo). We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc. 5000 list of fastest-growing companies in 2025. Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations. As a Business Intelligence (BI) Analyst, you will responsible for translating business requirements into trusted dashboards, reports, and analytical datasets. Responsibilities: • Gather and analyze business reporting and analytics requirements. • Define KPIs, metrics, and business rules with stakeholders. • Develop, maintain, and enhance dashboards and reports using BI tools. • Design reusable analytical datasets and collaborate with Data Modelers to enhance analytical data models. • Evaluate and refine business reporting requirements to deliver scalable analytical solutions • Perform data analysis to identify trends, patterns, and business insights. • Support Data Governance initiatives by documenting business metrics, dashboard definitions, metadata, and business glossary entries. What you’ll need: • 3+ years of experience in Business Intelligence, Data Analytics. • Strong SQL skills. • Solid experience with BI and data visualization tools (preferrably QuickSight). • Hands-on experience designing analytical datasets using dimensional modeling principles. • Demonstrated experience delivering dashboards and reports using BI best practices. • Solid knowledge of relational databases and data warehousing concepts. • Strong analytical, problem-solving, and stakeholder communication skills. Why work at RemoFirst? • Startup environment: RemoFirst is an early-stage start-up. You have a voice and can influence and grow rapidly. • Growth opportunity: This is a chance to define how AI transforms a category-leading startup - and grow your career as we scale. As a part of our AI team you will be able to learn from other engineers and ongoing R&D projects. • Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market. • Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers. • Leadership visibility: Reporting into the AI Lead. • Compensation and perks are great: Competitive compensation. 100% remote work. PTO regulated by local statutory. • Culture: We lead with respect, kindness, and the right to fail. We value hard yet smart work. Diversity and inclusion are part of our DNA. As we grow and evolve, we welcome your input to help us define our culture further. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

H Cybersecurity Specialist (Remote) Hire Feed Engineering & Technology Today New Rest of Nigeria (Nationwide) Confidential Share link Share on WhatsApp Share on LinkedIn Share on Facebook Share on Twitter Share via SMS Job descriptions & requirements • Role: Cybersecurity Specialist (Remote) • Location: Remote (Work from Anywhere) • Job Type: Contract • Payout: $25 - $80/hour Role Overview: We are hiring for one of our clients, seeking a Penetration Tester to work on a contract basis. The role involves identifying and exploiting vulnerabilities in systems, networks, and applications to assess security posture. Responsibilities include conducting manual and automated penetration testing, documenting findings, and recommending remediation strategies. Key Responsibilities: • Perform comprehensive security assessments, including network, web application, and API penetration testing. • Execute vulnerability scans and analyze results to identify security weaknesses. • Develop and execute custom exploits to validate risks and simulate real-world attack scenarios. • Prepare detailed reports outlining vulnerabilities, exploitation steps, and mitigation recommendations. • Collaborate with engineering and security teams to triage findings and verify remediation efforts. Required Skills & Qualifications: • Proficiency in penetration testing tools such as Burp Suite, OWASP ZAP, Metasploit, or similar. • Experience with scripting languages like Python, Bash, or PowerShell for automation and tool development. • Knowledge of common security frameworks, including OWASP Top 10, MITRE ATT&CK, and CIS benchmarks. • Familiarity with network protocols, operating systems (Windows/Linux), and cloud security principles. • Strong analytical skills with the ability to interpret technical data and communicate findings clearly. More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the protection of critical infrastructure and sensitive data. The contract duration is flexible, with potential for extension based on project needs and performance. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

Company Description Pivotage Consulting is a HR consulting firm. Our services includes recruitment, training and development, background checks, manpower outsourcing and HR Advisory Job Description Drive B2B, B2G, and institutional sales within assigned territories Develop and execute strategic corporate sales initiatives Identify new business opportunities and market expansion strategies Qualifications • Proven track record of consistently meeting or exceeding sales targets. • Minimum of 3 years' sales experience in the electrical appliances industry. • Experience in Consumer Electronics or Home Appliances will be an added advantage. • Minimum of a Bachelor's degree (B.Sc.) in Marketing, Business Administration, Engineering, or a related field.

Basscomm Group Limited is a Mechanical and Electrical Contractor working throughout Nigeria with a reputation for completing projects efficiently, within time and budget constraints and to the highest quality it has made us the Contractor of choice for our industry over the past decade. We currently operate across Nigeria in various sectors throughout the industry. We are recruiting to fill the position below: Job Position: Graduate Trainee ( Electrical Engineering) Job Locations: Abuja (FCT), Maryland - Lagos and Rivers Employment Type: Internship Requirements • Bachelor's Degree or HND in Electrical / Electronic Engineering or a related field, with a minimum of Second Class Upper (2:1) or Upper Credit. • Completed NYSC or possess a valid exemption certificate. • Strong analytical and problem-solving skills. • Good communication and interpersonal skills. • Basic proficiency in AutoCAD, MATLAB, and other engineering design tools. • Proficiency in Microsoft Office applications. • Willingness to learn, adapt, and work in a fast-paced environment. • Female graduate, for gender balance. What We Offer • Structured learning and development programme. • Hands-on industry experience on real projects. • Mentorship from experienced engineering professionals. • Career growth opportunities. • Exposure to cutting-edge engineering technologies. • Competitive trainee allowance. Note • Are you a recent Electrical / Electronic Engineering graduate looking to build a rewarding career in the engineering industry? Apply. • Qualified candidates should send their CV to the link above. • Only qualified candidates will be contacted.

Location USA | Remote; Ann Arbor, MI; Global | Remote (NA / LATAM / EMEA / APAC); San Francisco, CA Employment Type Full time Location Type Remote Department Research Compensation • Estimated Base Salary $150K – $250K • Offers Equity • Offers Bonus • 10% Annual Bonus This range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Please note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits. Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. The Opportunity Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone. The Role As a Member of the Research Staff, you will pioneer the development of Latent Space Models (LSMs), a new approach that aims to solve the fundamental data, scale, and cost challenges associated with building robust, contextualized voice AI. Your research will focus on solving one or more of the following problems: • Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio. • Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech. • Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects - enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through “latent recombination”. • Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio. Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) produce empathic, human-like responses that achieve conversational or task-oriented objectives. • Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations. The Challenge We are seeking researchers who: • See "unsolved" problems as opportunities to pioneer entirely new approaches • Can identify the one critical experiment that will validate or kill an idea in days, not months • Have the vision to scale successful proofs-of-concept 100x • Are obsessed with using AI to automate and amplify your own impact If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative. It's Important to Us That You Have • Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning • Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities • Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently • Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity • Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights • Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques • History of open-source contributions or research publications that have advanced the state of the art in speech/language AI How We Generated This Job Description This job description was generated in two parts. The “Opportunity”, “Role”, and “Challenge” sections were generated by a human using Claude-3.5-sonnet as a writing partner. The objective of these sections is to clearly state the problem that Deepgram is attempting to solve, how we intend to solve it, and some guidelines to help you decide if Deepgram is right for you. Therefore, it is important that this section was articulated by a human. The “It’s Important to Us” section was automatically derived from a multi-stage LLM analysis (using o1) of key foundational deep learning papers related to our research goals. This work was completed as an experiment to test the hypothesis that traits of highly productive and impactful researchers are reflected directly in their work. The analysis focused on understanding how successful researchers approach problems, from mathematical foundations through to practical deployment. The problems Deepgram aims to solve are immensely difficult and span multiple disciplines and specialties. As such, we chose seminal papers that we believe reflect the pioneering work and exemplary human characteristics needed for success. The LLM analysis culminates in an “Ideal Researcher Profile”, which is reproduced below along with the list of foundational papers. Ideal Researcher Profile An ideal researcher, as evidenced by the recurring themes across these foundational papers, excels in five key areas: (1) Statistical & Mathematical Foundations, (2) Algorithmic Innovation & Implementation, (3) Data-Driven & Scalable Systems, (4) Hardware & Systems Understanding, and (5) Rigorous Experimental Design. Below is a synthesis of how each paper highlights these qualities, with references illustrating why they matter for building robust, impactful deep learning models. 1. Statistical & Mathematical Foundations Mastery of Core Concepts Many papers, like Scaling Laws for Neural Language Models and Neural Discrete Representation Learning (VQ-VAE), reflect the importance of power-law analyses, derivation of novel losses, or adaptation of fundamental equations (e.g., in VQ-VAE's commitment loss or rectified flows in Scaling Rectified Flow Transformers). Such mathematical grounding clarifies why models converge or suffer collapse. Combining Existing Theories in Novel Ways Papers such as Moshi (combining text modeling, audio codecs, and hierarchical generative modeling) and Finite Scalar Quantization (FSQ's adaptation of classic scalar quantization to replace vector-quantized representations) show how reusing but reimagining known techniques can yield breakthroughs. Many references (e.g., the structured state-space duality in Transformers are SSMs) underscore how unifying previously separate research lines can reveal powerful algorithmic or theoretical insights. Logical Reasoning and Assumption Testing Across all papers—particularly in the problem statements of Whisper or Rectified Flow Transformers—the authors present assumptions (e.g., "scaling data leads to zero-shot robustness" or "straight-line noise injection improves sample efficiency") and systematically verify them with thorough empirical results. An ideal researcher similarly grounds new ideas in well-formed, testable hypotheses. 2. Algorithmic Innovation & Implementation Creative Solutions to Known Bottlenecks Each paper puts forth a unique algorithmic contribution—Rectified Flow Transformers redefines standard diffusion paths, FSQ proposes simpler scalar quantizations contrasted with VQ, phi-3 mini relies on curated data and blocksparse attention, and Mamba-2 merges SSM speed with attention concepts. Turning Theory into Practice Whether it's the direct preference optimization (DPO) for alignment in phi-3 or the residual vector quantization in SoundStream, these works show that bridging design insights with implementable prototypes is essential. Clear Impact Through Prototypes & Open-Source Many references (Whisper, neural discrete representation learning, Mamba-2) highlight releasing code or pretrained models, enabling the broader community to replicate and build upon new methods. This premise of collaboration fosters faster progress. 3. Data-Driven & Scalable Systems Emphasis on Large-Scale Data and Efficient Pipelines Papers such as Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) and BASE TTS demonstrate that collecting and processing hundreds of thousands of hours of real-world audio can unlock new capabilities in zero-shot or low-resource domains. Meanwhile, phi-3 Technical Report shows that filtering and curating data at scale (e.g., "data optimal regime") can yield high performance even in smaller models. Strategic Use of Data for Staged Training A recurring strategy is to vary sources of data or the order of tasks. Whisper trains on multilingual tasks, BASE TTS uses subsets/stages for pretraining on speech tokens, and phi-3 deploys multiple training phases (web data, then synthetic data). This systematic approach to data underscores how an ideal researcher designs training curricula and data filtering protocols for maximum performance. 4. Hardware & Systems Understanding Efficient Implementations at Scale Many works illustrate how researchers tune architectures for modern accelerators: the In-Datacenter TPU paper exemplifies domain-specific hardware design for dense matrix multiplications, while phi-3 leverages blocksparse attention and custom Triton kernels to run advanced LLMs on resource-limited devices. Real-Time & On-Device Constraints SoundStream shows how to compress audio in real time on a smartphone CPU, demonstrating that knowledge of hardware constraints (latency, limited memory) drives design choices. Similarly, Moshi's low-latency streaming TTS and phi-3-mini's phone-based inference highlight that an ideal researcher must adapt algorithms to resource limits while maintaining robustness. Architectural & Optimization Details Papers like Mamba-2 in Transformers are SSMs and the In-Datacenter TPU work show how exploiting specialized matrix decomposition, custom memory hierarchies, or quantization approaches can lead to breakthroughs in speed or energy efficiency. 5. Rigorous Experimental Design Controlled Comparisons & Ablations Nearly all papers—Whisper, FSQ, Mamba-2, BASE TTS—use systematic ablations to isolate the impact of individual components (e.g., ablation on vector-quantization vs. scalar quantization in FSQ, or size of codebooks in VQ-VAEs). This approach reveals which design decisions truly matter. Multifold Evaluation Metrics From MUSHRA listening tests (SoundStream, BASE TTS) to FID in image synthesis (Scaling Rectified Flow Transformers, FSQ) to perplexity or zero-shot generalization in language (phi-3, Scaling Laws for Neural Language Models), the works demonstrate the value of comprehensive, carefully chosen metrics. Stress Tests & Edge Cases Whisper's out-of-distribution speech benchmarks, SoundStream's evaluation on speech + music, or Mamba-2's performance on multi-query associative recall demonstrate the importance of specialized challenge sets. Researchers who craft or adopt rigorous benchmarks and "red-team" their models (as in phi-3 safety alignment) are better prepared to address real-world complexities. Summary Overall, an ideal researcher in deep learning consistently demonstrates: • A solid grounding in theoretical and statistical principles • A talent for proposing and validating new algorithmic solutions • The capacity to orchestrate data pipelines that scale and reflect real-world diversity • Awareness of hardware constraints and system-level trade-offs for efficiency • Thorough and transparent experimental practices These qualities surface across research on speech (Whisper, BASE TTS), language modeling (Scaling Laws, phi-3), specialized hardware (TPU, Transformers are SSMs), and new representation methods (VQ-VAE, FSQ, SoundStream). By balancing these attributes—rigorous math, innovative algorithms, large-scale data engineering, hardware-savvy optimizations, and reproducible experimentation—researchers can produce impactful, trustworthy advancements in foundational deep learning. Foundational Papers This job description was generated through analysis of the following papers: • Robust Speech Recognition via Large-Scale Weak Supervision (arXiv:2212.04356) • Moshi: a speech-text foundation model for real-time dialogue (arXiv:2410.00037) • Scaling Rectified Flow Transformers for High-Resolution Image Synthesis (arXiv:2403.03206) • Scaling Laws for Neural Language Models (arXiv:2001.08361) • BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (arXiv:2402.08093) • In-Datacenter Performance Analysis of a Tensor Processing Unit (arXiv:1704.04760) • Neural Discrete Representation Learning (arXiv:1711.00937) • SoundStream: An End-to-End Neural Audio Codec (arXiv:2107.03312) • Finite Scalar Quantization: VQ-VAE Made Simple (arXiv:2309.15505) • Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (arXiv:2404.14219) • Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality (arXiv:2405.21060) Benefits & Perks* Holistic health • Medical, dental, vision benefits • Annual wellness stipend • Mental health support • Life, STD, LTD Income Insurance Plans Work/life blend • Unlimited PTO • Parental leave • Flexible schedule • 12 Paid US company holidays • Quarterly personal productivity stipend • One-time stipend for home office upgrades • 401(k) plan with company match • Tax Savings Programs Continuous learning • Learning / Education stipend • Participation in talks and conferences • Employee Resource Groups • AI enablement workshops / sessions • For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.