civil engineer

electrical engineer

planning engineer

mep engineer

project engineer

ai engineer

ClearVUE.Business

<div>
 
 
 Hi, we're ClearVUE Dubai
 
 
 
 
 
 
 ClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.
 
 
 
 
 
 Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.
 
 
 
 
 
 ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 Are you an AI engineer with a passion for data, innovation, and driving real-world impact? We&rsquo;re looking for a skilled and motivated AI Engineer to join our data team in Dubai. In this role, you&rsquo;ll work on impactful projects in energy and sustainability, applying advanced machine learning techniques, AI tools, and large language models (LLMs) to solve complex, real-world challenges and help shape the future of intelligent solutions.
 
 
 
 
 
 
 What exactly will you do?
 
 
 
 
 
 <ul>
 <li>
 Collaborate with our team to analyse and interpret data from diverse sources, including sensors, APIs, and customer platforms.
 </li>
 <li>
 Design, develop, and deploy machine learning models that predict trends, improve efficiency, and generate actionable insights from energy-related data.
 </li>
 <li>
 Build and integrate AI/ML solutions into production environments, ensuring scalability and reliability in real-world applications.
 </li>
 <li>
 Work with modern AI tools such as
 
 OpenAI, Hugging Face, and LangChain
 
 , applying
 
 Retrieval-Augmented Generation (RAG)
 
 and
 
 Model Context Protocol (MCP)
 
 techniques to enhance data relevance, context awareness, and explainability in AI-driven products.
 </li>
 <li>
 Stay current with the latest advancements in AI, data science, and MLOps tools, and bring innovative ideas to the team.
 </li>
 <li>
 Participate in brainstorming sessions, code reviews, and planning meetings; your technical perspective and creativity will help shape our solutions.
 </li>
 <li>
 Contribute to dashboards, reports, and prototypes that translate complex data into clear, actionable insights for clients and internal teams.
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 3 &ndash; 5 years of experience working as an
 
 AI Engineer
 
 or similar role.
 </li>
 <li>
 Bachelor&rsquo;s Degree in
 
 Computer Science, Data Science, Engineering, Maths, Physics
 
 , or a related field.
 </li>
 <li>
 Hands-on experience with
 
 Python
 
 ,
 
 data analysis
 
 , or
 
 machine learning
 
 .
 </li>
 <li>
 Solid understanding of AI/ML concepts (e.g., building and evaluating models, using Jupyter notebooks, working with LLM APIs).
 </li>
 <li>
 Proficiency in data manipulation using tools such as
 
 pandas
 
 ,
 
 NumPy
 
 , and
 
 SQL
 
 .
 </li>
 <li>
 Experience with
 
 scikit-learn
 
 ,
 
 TensorFlow
 
 , or
 
 PyTorch
 
 , and familiarity with LLM frameworks such as
 
 OpenAI API
 
 or
 
 LangChain
 
 .
 </li>
 <li>
 Excellent communication skills; you can clearly explain technical concepts to both technical and non-technical audiences
 </li>
 <li>
 A proactive team player with a growth mindset, eager to learn, share knowledge, and contribute to meaningful projects
 </li>
 </ul>
 
 
 
 
 
 Nice to Have (but not expected)
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in related field.
 </li>
 <li>
 Experience implementing
 
 RAG pipelines
 
 or
 
 MCP-based integrations
 
 to connect AI models with live enterprise data sources.
 </li>
 <li>
 Knowledge of time series data or experience working with energy, IoT, or sustainability projects.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We&rsquo;ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today&rsquo;s energy landscape.
 
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 
 
 
 
 💎
 
 Compensation Package:
 
 We offer a
 
 monthly base salary of 16,000 AED
 
 , plus
 
 comprehensive medical insurance.
 
 
 
 🌍
 
 Purpose-Driven Impact:
 
 Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 
 
 🚀
 
 Ongoing Support and Development:
 
 Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 
 
 📈
 
 Clear Path to Advancement:
 
 We believe in nurturing our own; promotions from within are our specialty.
 
 
 
 
 
 
 GPG is an equal opportunity employer and applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
 
 
</div>

AI Engineer

Deriv

<div>
 
 The challenge
 
 
 You&rsquo;re leaving the safety of Jupyter notebooks to wrestle with the tension of stochastic models in a deterministic financial world. You&rsquo;ll encounter a codebase processing millions of transactions where "it works on my machine" is not a valid defence, bridging the gap between tutorial implementations and high-scale systems to build co-intelligence that decides and executes without a human holding its hand.
 
 
 See what we&rsquo;re shipping at Deriv.
 
 
 
 Why this matters
 
 
 
 
 
 Deriv's mission is Trading for Anyone, Anywhere, Anytime. Millions of traders, around the clock. This scale demands AI that works in production, not prototypes that demo well.
 
 
 We're already here: AI resolving 65%+ of customer enquiries, writing and reviewing code, processing invoices, and screening candidates. Not experiments. Production systems you'll help extend.
 
 
 
 Why Deriv
 
 
 Learn by building, not by watching. Here's where you'll do it:
 
 
 <ul>
 <li>
 Customer experience: Building AI that handles conversation, outreach, and lifecycle management.
 </li>
 <li>
 Developer infrastructure: Building the systems that build systems (Spec-to-PR, QA automation, security scanning).
 </li>
 <li>
 Business functions: Building the AI that runs Deriv (finance workflows, HR automation).
 
 
 </li>
 </ul>
 Your placement depends on team needs and your interests. You'll likely focus on one area but touch several, with real ownership and support along the way.
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Build features that go to production: You won't just write scripts; you'll ship code that runs in live environments.
 </li>
 <li>
 Work across three paradigms: You'll learn to combine deterministic systems (code), predictive models (ML), and agentic systems (LLMs).
 </li>
 <li>
 Learn from failure: You'll understand why guardrails matter when a 1% error rate means thousands of wrong decisions.
 </li>
 <li>
 Pair with experienced engineers: You'll own small features end-to-end with guidance from senior mentors.
 
 
 </li>
 </ul>
 
 Who you are
 
 
 <ul>
 <li>
 You write code that runs: Python or another language you genuinely enjoy. You know syntax is easy; making things work in production is where it gets interesting.
 </li>
 <li>
 You've touched ML or LLMs: Courses, side projects, experiments. Enough to know what you don't know yet.
 </li>
 <li>
 You deliver reliably: You distinguish urgent from important and keep your promises on delivery dates.
 </li>
 <li>
 You're comfortable being wrong: You'll ship code that breaks. That's how you learn&mdash;if you can admit it and fix it.
 
 
 </li>
 </ul>
 
 Tech stack
 
 
 <ul>
 <li>
 Languages: Python, TypeScript
 </li>
 <li>
 AI/ML: OpenAI APIs, Anthropic APIs, LangGraph, Custom ML Pipelines
 </li>
 <li>
 Infrastructure: AWS, PostgreSQL, Redis, Docker, LangFuse
 
 
 </li>
 </ul>
 
 The honest reality
 
 
 This is demanding work. You'll face problems without clear answers. You'll ship code that breaks and fix it under pressure. Some weeks will be frustrating.
 
 
 But you'll ship AI that runs&mdash;not demos, not prototypes. You'll see your work handling real transactions. And you'll grow fast.
 
 
 
 
 
 
 
 
</div>

Applied AI Engineer

DataCamp

<div>About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction&mdash;a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets&mdash;you aim to understand the &quot;why&quot; behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!

Responsibilities
<ul>
<li>Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.</li>
<li>Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.</li>
<li>Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.</li>
<li>Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.</li>
<li>Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.</li>
<li>Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.</li>
<li>Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.</li>
</ul>
Qualifications
<h3 class="jobSectionHeader">
Technical</h3>
<ul><li>1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.</li>
<li>Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.</li>
<li>Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.</li>
<li>Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.</li>
</ul><h3 class="jobSectionHeader">Product &amp; Pedagogy</h3>
<ul><li>Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.</li>
<li>Ability to reason holistically across AI behavior, content structure, platform features, and user experience.</li>
<li>Familiarity with learning science or a desire to develop expertise.</li>
</ul><h3 class="jobSectionHeader">Character &amp; Collaboration</h3>
<ul><li>Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.</li>
<li>Preference for elegance and simplicity in system design.</li>
<li>Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.</li>
</ul>
Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:
<ul>
<li>Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.</li>
<li>Competitive compensation: We offer a competitive salary with attractive benefits.</li>
<li>Flexibility: Benefit from flexible working hours because the future is flexible!</li>
<li>Continuous learning: Access a yearly learning budget for conferences &amp; training to support your professional growth.</li>
<li>Global retreats: Participate in international company retreats, fostering a global team spirit.</li>
<li>Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.</li>
<li>Amazing team: Collaborate with a truly exceptional team&mdash;seriously, we're awesome!</li></ul></div>

Principal AI Engineer

Fortes Education

Job
 Description: AI Engineer – Open Source LLMs & AI Integration
 
We are looking for a hands-on AI Engineer with deep expertise in open-source,
 open-weight large language models (LLMs) and end-to-end software
 integration. This role is ideal for someone excited to build
 production-ready AI systems across education, fintech, and business
 automation.
 
As part of our innovation-driven team, you’ll work on projects ranging from:
 <ul>
<li>Building personal AI tutors for students and teachers in schools</li>
<li>Designing AI-powered payments & fintech platforms</li>
<li>Automating workflows for brick-and-mortar businesses (AI agents</li>
</ul>
handling outbound lead nurturing calls, follow-ups, and sales closure)
 
Key Responsibilities
 <ul>
<li>Fine-tune and optimize open-source/open-weight models (LLaMA,</li>
</ul>
Mistral, Falcon, etc.) for real-world use cases
 <ul>
<li>Integrate models with applications, APIs, and databases to deliver</li>
</ul>
scalable AI solutions
 <ul>
<li>Develop and deploy AI agents for tasks such as tutoring, lead</li>
</ul>
nurturing, and workflow automation
 <ul>
<li>Work with retrieval-augmented generation (RAG) pipelines, vector</li>
</ul>
databases, and orchestration frameworks (LangChain, LlamaIndex)
 <ul>
<li>Collaborate with cross-functional teams to design production-ready AI</li>
</ul>
workflows
 <ul>
<li>Stay ahead of new advancements in AI/ML, generative AI, and agent</li>
</ul>
frameworks
 
Core Technical Skills
 <ul>
<li>LLM Fine-Tuning & Optimization: Hugging Face, PyTorch,</li>
</ul>
TensorFlow, LoRA, PEFT
 <ul>
<li>AI Agent Frameworks: LangChain, LlamaIndex, AutoGen, SmolAgents</li>
<li>Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB</li>
<li>Programming: Python (expert), JavaScript/TypeScript (bonus)</li>
<li>DevOps & Cloud: Microsoft Azure, Docker, Kubernetes, CI/CD, Git</li>
<li>Workflow Automation: API integration, microservices, REST/GraphQL</li>
<li>Databases: PostgreSQL, NoSQL, Redis</li>
</ul>
Ideal Candidate
 <ul>
<li>Proven experience training/fine-tuning LLMs and deploying them in</li>
</ul>
production
 <ul>
<li>Strong background in software engineering (microservices, APIs, web</li>
</ul>
integrations)
 <ul>
<li>Familiarity with AI for education, fintech, or workflow automation</li>
<li>Entrepreneurial mindset with the ability to take projects from concept</li>
</ul>
to deployment
 <ul>
<li>Excited to experiment, innovate, and push the boundaries of applied AI</li>
</ul>
Location & Opportunity
 <ul>
<li>Based in Dubai, with projects spanning global education, fintech, and</li>
</ul>
enterprise automation
 <ul>
<li>Be part of a fast-moving, innovative team shaping the future of</li>
</ul>
AI-driven businesses
 
If you’re passionate about building real-world
 AI systems that make an impact — from classrooms to financial platforms to
 local businesses — we’d love to hear from you.
 
Apply now and let’s build the future of AI together.
 
Interested candidates can apply on our website: 
http://www.fortes.co/Careers

AI Engineer – Open Source LLMs & AI Integration

DataRobot

Key Responsibilities:<ul><li>Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</li><li>Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</li><li>Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</li><li>Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</li><li>Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</li><li>Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</li><li>Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</li><li>Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</li></ul>Knowledge, Skills and Abilities:AI &amp; Machine Learning Expertise:<ul><li>Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</li><li>Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</li><li>Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</li></ul>Application Development &amp; Operations:<ul><li>Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</li><li>Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</li><li>Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</li><li>Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</li><li>Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</li></ul>

Senior AI Engineer - Professional Services - UAE

Rapyd

<div>
 
 
 Description
 
 
 
 Rapyd has unified payments, payouts and fintech on one worldwide platform, and we&rsquo;re assembling the world&rsquo;s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.
 
 
 We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let&rsquo;s build the future of fintech together.
 
 
 We&rsquo;re looking for a builder with a backend backbone&mdash;someone who can spot an opportunity, sketch a solution, and ship a working service fast. You&rsquo;ll turn AI ideas into production-grade APIs and microservices, then iterate based on real data and feedback.
 
 
 You&rsquo;ll work at the edge of what&rsquo;s possible with LLMs, RAG pipelines, and vector-based retrieval. The mission: wire up smart systems that automate workflows, elevate productivity, and make AI feel less like magic and more like reliable infrastructure.
 
 
 Get the tools to grow globally at
 
 www.rapyd.net
 
 . Follow:
 
 Blog
 
 ,
 
 Insta
 
 ,
 
 LinkedIn
 
 ,
 
 Twitter
 
 
 
 
 
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Design, build, and scale backend services and RESTful APIs to power AI-driven features.
 </li>
 <li>
 Develop and iterate on LLM-based applications, including context-aware pipelines (e.g. with vector-store retrieval).
 </li>
 <li>
 Own the full lifecycle: prototyping, evaluation, deployment, monitoring, and continuous iteration.
 </li>
 <li>
 Define KPIs, run experiments, and optimize systems based on metrics and data.
 </li>
 <li>
 Collaborate across product, data, and engineering to translate ideas into robust, shippable systems.
 </li>
 <li>
 Stay current with the evolving LLM/agent ecosystem and rapidly apply new tools or protocols (e.g., MCP).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 What you'll need (core requirements):
 
 <ul>
 <li>
 5+ years of professional software development experience with a strong backend focus.
 </li>
 <li>
 Experience with advanced LLM workflows: prompt engineering, inference optimization, fine-tuning, and evaluation.
 </li>
 <li>
 Demonstrated experience integrating generative models with external knowledge (via RAG or similar patterns).
 </li>
 <li>
 Practical knowledge of embeddings and vector databases (e.g. FAISS, Pinecone).
 </li>
 <li>
 Experience building and scaling data pipelines for LLM ingestion and retrieval.
 </li>
 <li>
 Strong communication skills, bias for action, and ability to thrive in fast-paced environments.
 </li>
 </ul>
 
 Bonus / preferred qualifications:
 
 <ul>
 <li>
 Previous work with agent frameworks or context protocols.
 </li>
 <li>
 Experience with Agile practices and a habit of staying on top of AI research and tooling.
 </li>
 <li>
 Hands-on experience designing and building microservices architectures.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 Job Candidate Privacy Policy &ndash;
 
 https://www.rapyd.net/candidate-privacy-policy
 
 
</div>

AI Software Engineer

Analytica

<div>
 
 
 Job Title:
 
 Technical Engineer - Software Development
 
 
 
 Location:
 
 Ajman, UAE (On-site)
 
 
 
 Company:
 
 Leading Software Development &amp; AI Solutions Provider
 
 
 &nbsp;
 
 
 
 Role Overview:
 
 
 
 
 We are seeking a technically skilled, client-oriented engineer to act as the primary technical point of contact for potential and existing clients. You will represent our software development and AI capabilities in meetings, understand client requirements, and collaborate with our development team to deliver tailored AI and software solutions.
 
 
 
 
 &nbsp;
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Attend client meetings, calls, and demos to provide technical guidance on software and AI solutions.
 </li>
 <li>
 Understand customer requirements and translate them into actionable technical specifications.
 </li>
 <li>
 Lead pre-sales technical discussions and solution presentations.
 </li>
 <li>
 Collaborate with internal teams to scope projects, propose solutions, and ensure technical feasibility.
 </li>
 <li>
 Support lead generation by providing technical input during sales discussions.
 </li>
 <li>
 Assist with technical problem-solving and troubleshooting as needed.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.
 </li>
 <li>
 2+ years of software development and AI engineering experience.
 </li>
 <li>
 Strong communication skills; ability to explain technical concepts to non-technical clients.
 </li>
 <li>
 Client-facing experience or willingness to attend customer meetings.
 </li>
 <li>
 Experience with AI solutions, including chatbots, LLMs, prediction models, or automation tools.
 </li>
 <li>
 Knowledge of software development lifecycle and cloud technologies.
 </li>
 </ul>
 
 
 Technical Skills &amp; Tools:
 
 
 
 
 Software &amp; Tools:
 
 
 <ul>
 <li>
 Project/Task Management: Jira, Trello, ClickUp, Asana, Monday.com
 </li>
 <li>
 Documentation: Confluence, Notion, Google Workspace, Microsoft Office
 </li>
 <li>
 Diagramming: Draw.io, Lucidchart, Figma (basic UI/flow mapping)
 </li>
 </ul>
 
 
 Technical Understanding:
 
 
 <ul>
 <li>
 APIs (REST/GraphQL): basic integration understanding
 </li>
 <li>
 Databases: SQL basics, ability to read simple queries
 </li>
 <li>
 Cloud Platforms: AWS, Azure, or Google Cloud (basic understanding)
 </li>
 <li>
 AI/ML Concepts: LLMs, chatbots, prediction models, automation tools
 </li>
 <li>
 SDLC (Software Development Lifecycle)
 </li>
 <li>
 Familiarity with web technologies (HTML, CSS, JavaScript basics) is a plus
 </li>
 </ul>
 
 
 
</div>

Technical Engineer  Software Solutions

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