Jobs at Odixcity Consulting

Job Summary

• We are seeking a dedicated Sign Language Health Instructor to deliver health education and wellness training using sign language.
• The ideal candidate will facilitate courses, improve health literacy, and ensure accessibility for deaf and hard-of-hearing participants. Requires fluency in ASL/BSL and a health background.

Key Responsibilities

• Teach basic health education topics using sign language (e.g., hygiene, nutrition, disease prevention).
• Develop and adapt lesson plans suitable for learners with varying levels of sign language proficiency.
• Facilitate interactive and engaging training sessions.
• Assess participants’ understanding and provide feedback to improve learning outcomes.
• Collaborate with program coordinators to ensure effective delivery of training objectives.
• Maintain records of attendance, progress, and training activities.
• Promote awareness of health issues within the deaf and hard-of-hearing community.

Requirements

• Proficiency in sign language (e.g., Nigerian Sign Language or equivalent).
• Background in health education, nursing, public health, or a related field is an advantage.
• Previous teaching or training experience, especially with individuals with hearing impairments.
• Ability to deliver clear, engaging, and culturally sensitive instruction.
• Must be available for the full one-month contract period.

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Job Summary

• We are seeking a highly skilled and experienced Project Engineer for an on-site assignment in the oil and gas industry.
• The ideal candidate will act as the primary technical liaison between the engineering office and field operations, ensuring that construction, installations, and commissioning activities align with project specifications, safety standards, and schedule.

Responsibilities

• Act as the on-site representative for the project management team, overseeing daily field operations to ensure compliance with design drawings, specifications, and quality standards.
• Coordinate between construction crews, subcontractors, and home-office engineering teams to resolve technical site issues promptly.
• Manage the execution of pipeline (or front-line) construction activities, including welding, coating, laying, hydro-testing, and tie-ins.
• Monitor project progress against the schedule, prepare daily/weekly progress reports, and identify potential delays or risks.
• Enforce strict adherence to HSE (health, Safety, and Environment) policies, conducting regular site safety audits and toolbox talks.
• Review and approve Method Statements, Risk Assessment, and ITPs (Inspection Test Plans) prior to construction activities.
• Manage material receipt, preservation, and site inventory to ensure availability for construction continuity.
• Assist in charge management by identifying scope variations and documenting site instructions.

Requirements

• Bachelor’s Degree in Mechanical Engineering or Electrical Engineering from an accredited university.
• Minimum of 5 years of experience, with a proven track record as a Project Engineer specifically within the Oil and Gas Industry.
• Must have demonstrable experience in Pipeline projects (onshore/offshore) or frontline (upstream facilities/wellhead) construction.
• Proficient in reading P&IDs, isometric drawings, pipeline alignment sheets, and electrical single-line diagrams. Familiarity with ASME, API, ASTM standards is required.
• Strong leadership, decision making capabilities under pressure, and excellent communication skills for coordinating with multicultural teams.
• Valid BOSIET/TBOSIET (for offshore roles), HSE Competency certifications certifications (e.g., NEBOSH IGC) are highly preferred.

Preferred Attributes:

• Previous experience working with IOC (Internal Oil Companies) or major EPC contractors.
• Proven ability to manage subcontractors and direct-hire labor forces in remote site locations.

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Job Summary

• We are looking for a sharp detailed senior to architect the systems that measure and improve our generative AI models. ]
• You will work at the intersection of data science, product, and research to ensure our AI systems are not only accurate but also safe, unbiased, and aligned with human preferences.

Key Responsibilities

• Design and implement robust automated evaluation frame works (using python) test LLMs for tasks like reasoning, coding, and summarization.
• Lead the development of annotation rubrics and manage workflows, for human evaluators to generate high context preference data and golden datasets.
• Design and execute adversarial testing (re teaming) to identify vulnerable, hallucinations, and biases in mode outputs before deployment.
• Develop and calibrate reliable LLM-based evaluators to replace human raters at scale for specific metrics, validating their correlation with human judgment.
• Analyze evaluation results to pinpoint specific model weaknesses (e.g. model fails at multi- step reasoning in finance contexts) and present actionable insights to modeling and product teams.
• Build and maintain internal evaluation in platform and dashboards to track model performance across different versions and use cases.

Requirements

• A Degree in Computer science, information Technology, Data Science or a relating field.
• 5+ years of experience in machine learning, Data science, or AI Evaluation
• Proven track record of designing evaluation strategies for NLP or Generative AI products.
• Expert-level proficiency in Python for scripting evaluations and analyzing results (pandas, NumPy).
• Strong ability to query data (SQL) and perform statical analysis to validate evaluation confidence intervals and inter-annotator agreement.
• Advanced ability to craft prompts for crafts prompts for both model testing and steering LLM-based evaluators.

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Job Summary

• We are seeking for an AI prompt Engineer who will design, test, and refine text or image inputs for generative AI models to produce accurate, safe, and context-aware outputs.
• A person who will bridge human intent with machine intelligence by optimizing prompt structures to improve AI relevance, reduce bias, and ensure high-quality, efficient AI performance.

Key Responsibilities

• Create and refine prompts for Large Language Models (LLMs) to maximize, accuracy, and creativity.
• Analyze AI outputs to identify limitations, reduce "hallucinations," and improve consistency.
• Develop and manage a repository of effective prompt templates for team-wide use.
• Work with developers, product managers, and data scientists to align AI behaviors with business needs.
• Help refine models to adopt specific brand voices or specialized, domain-specific knowledge.
• Develop prompt libraries, documentation, and best practices
• Collaborate with product, marketing, engineering, and data teams.

Requirements

• Degrees in Computer Science, Linguistics, Cognitive Psychology, or Data Science are highly valued, though not always mandatory.
• 5 years proven experience working with generative AI tools (e.g., ChatGPT, Gemini, Claude, Midjourney)
• Certificates in AI, NLP, or specific prompt engineering courses can strengthen a resume
• A deep understanding of how LLMs, such as GPT-4, Claude, and Gemini, work is essential. This includes tokenization, context windows, and parameters like "temperature".
• Proficiency in Python is often required for scripting, automation, and interacting with AI APIs. Familiarity with libraries like TensorFlow or PyTorch is beneficial.
• The ability to analyze AI outputs for accuracy, bias, and relevance to refine prompts is necessary.
• Excellent technical documentation and communication skills.

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Job Summary

•  We are looking for a proactive and hands-on Reliability Engineer to join our team. You will be crucial in ensuring our core services are stable, scalable, and efficient.

Responsibilities

• Closely monitor system health, performance, and availability using tools like Grafana, Prometheus, Datadog, or New Relic. Respond to and resolve incidents.
• Lead and document post-incident reviews to identify root causes and preventive actions.
• Write scripts (Python, Bash) and use configuration management tools to automate operational tasks, deployments, and recovery procedures.
• Build the internal platforms and tools that make reliability a default for every engineering team- self-healing systems, automated canary analysis, and performance tracing at scale.
• Work with software teams to define Service Level Objectives (SLOs) and Error Budgets. Implement improvements to reduce manual toil, improve system resilience, and prevent recurring issues.
• Manage and optimize cloud resources (AWS, Google Cloud, or Azure) to ensure cost-effectiveness and performance. Implement infrastructure as Code (IaC) principles.
• Lead the design and implementation of chaos engineering practices, disaster recovery automation, and capacity planning.

Requirements

• 3-5 years of experience in a DevOps, SRE, Linux System Administration, or Backend Engineering role.
• Proficiency in scripting language; Python or GO.
• Solid experience with cloud platforms; Azure, Google Cloud, AWS etc.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Practical knowledge of monitoring/ observability tools.
• Familiarity with CI/CD Pipelines (GitLab CI, Jenkins, GitHub Actions).

Core Skills:

• Excellent problem solving and trobuleshooting skills under pressure.
• Strong understanding of network fundamentals (TCP/IP, DNS, HTTP/S).
• Knowledge of database performance and reliability (PostgreSQL, MySQL, MongoDB).
• A systematic approach to automation and a desire to eliminate manual work.
• Good communication skills to collaborate with both technical and non-technical teams.
• Understanding of security best practices in infrastructure.

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Role Overview

• We are seeking a Software QA Engineer to join our growing engineering team.
• In this role, you will be responsible for the quality and reliability of our SaaS platform.
• You will work closely with developers to validate new features, identify edge cases, and ensure the integrity of our data.
• We are looking for a candidate who is detail-oriented, technically curious, and passionate about delivering a seamless user experience.

Key Responsibilities

• Test Planning & Execution: Create detailed, comprehensive, and well-structured test plans and test cases for all new features.
• Manual & Functional Testing: Perform end-to-end manual testing to ensure features meet business requirements and design specifications.
• Edge Case Analysis: Proactively identify and test "unhappy path" scenarios, boundary conditions, and unusual user workflows to ensure system resilience.
• Data Integrity (MongoDB): Validate backend data states using MongoDB. Write and execute queries to ensure data is correctly stored, updated, and retrieved across the
• platform.
• Regression Testing: Maintain and execute regression test suites to ensure that new code deployments do not negatively impact existing functionality.
• API Testing: Verify the communication between frontend and backend services using tools like Postman to test API endpoints.
• Performance & Load Testing: Conduct basic performance testing to ensure the application remains stable and responsive under varying traffic levels.
• Bug Tracking: Document and prioritize defects with clear "steps to reproduce”, environment details, and logs. Collaborate with the development team to verify fixes.

Requirements

• Bachelor’s Degree in Computer Science, Information Technology, or equivalent professional experience.
• Strong understanding of the Software Development Life Cycle (SDLC) and QA methodologies.

Technical Requirements:

• SaaS Experience: 4 - 5 years of experience in software quality assurance for web-based SaaS applications.
• MongoDB Proficiency: * Experience writing queries in MongoDB Query Language (MQL).
• Ability to navigate document-based (NoSQL) data structures.
• Familiarity with MongoDB Compass or the Mongo Shell.
• JavaScript & Web Tools: * Proficiency using Browser Developer Tools (Console, Network tab) to diagnose frontend errors.
• Knowledge of or interest in JavaScript-based automation frameworks (e.g., Cypress, Playwright).
• Testing Tools: Experience with Postman (API testing) and Jira/GitHub (issue tracking).
• Performance Testing: Familiarity with load testing tools such as JMeter or k6 is a plus.

Core Competencies:

• Analytical Mindset: Ability to break down complex features into logical test components.
• Attention to Detail: A high standard for UI consistency, performance, and data accuracy.
• Effective Communication: Ability to clearly explain technical bugs and work collaboratively with a remote engineering team.
• Adaptability: Comfortable working in a fast-paced environment with frequent updates and deployments.