mechanical engineer

planning engineer

electrical engineer

project engineer

ai engineering officer

ai engineer

Lenks.ai

We are hiring an AI Engineer to support the development of advanced AI capabilities within Lenks.ai. In this role, you will work on integrating LLMs, building AI agents, implementing RAG-based systems, and developing end-to-end AI features that directly impact our video-conferencing platform. The ideal candidate is a hands-on engineer who can translate ideas into production-ready solutions efficiently.Qualifications:<ul><li>Proficiency in TypeScript and Node.js</li><li>Experience with Google Vertex AI (Gemini models)</li><li>Strong background in LLM integration and prompt engineering</li><li>Familiarity with AI agent frameworks (LangChain.js, LlamaIndex, or similar)</li><li>Understanding of RAG concepts (embeddings, retrieval, vector search)</li><li>Experience with PostgreSQL and pgvector or similar vector databases</li><li>Workflow automation experience (n8n or equivalent)</li><li>Ability to build end-to-end solutions across backend, AI pipelines, and product integration</li></ul>Job Type: Full-timePay: &#65020;8,000.00 - &#65020;10,000.00 per month

Ai Engineer

Jawraa

Role Summary <ul><li>Build, train, and deploy AI/ML models to support company products and automation initiatives. 4 7 years in AI/ML engineering Strong hands-on with AI models, LLMs, MLOps</li></ul>Responsibilities<ul><li>Develop AI/ML models for prediction, automation, and classification.</li><li>Preprocess and analyze datasets.</li><li>Deploy machine-learning pipelines into production.</li><li>Work with cross-functional teams to integrate AI solutions.</li><li>Monitor model performance and perform optimizations.</li><li>Ensure compliance with Saudi data governance standards.</li><li>Build, train, and deploy machine learning models.</li><li>Contribute to AI project architecture.</li><li>Optimize model performance.</li><li>Implement AI pipelines using cloud platforms (OCI preferred).</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s in AI, Data Science, Computer Science, or Engineering.</li><li>Arabic speaker (mandatory).</li></ul>Technical Skills<ul><li>Python, TensorFlow, PyTorch</li><li>Machine learning, deep learning algorithms</li><li>Data visualization and analysis</li><li>MLOps tools (Docker, Kubernetes, MLflow)</li><li>Cloud AI services (AWS Sagemaker, Azure ML)</li></ul>Soft Skills<ul><li>Problem-solving &amp; innovation</li><li>Clear communication with non-technical stakeholders</li><li>Strong research abilities</li></ul>Preferred Certifications <ul><li>Google Professional ML Engineer</li><li>AWS Machine Learning Specialty</li><li>TensorFlow Developer Certificate</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsPay: Up to &#65020;17,000.00 per month

AI Engineer (Arabic Speaker)

Qualcomm

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About Us
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
About the Role
As a Qualcomm Datacentre AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacentre technology.
Qualcomm Solution Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications.
Shape
Principal Duties and Responsibilities will include:<ul><li>
Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class AI inference performance, power efficiency and scalability</li><li>
Assist in the design, development, implementation and deployment of Gen AI and LLM applications</li><li>
Contribute towards implementing fine tuning and distillation techniques</li><li>
Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while ensuring system-level requirements and standards are met</li><li>
Perform AI model benchmarking and functional analysis to drive requirements and specifications</li><li>
Support customer engagement with AI model/workload optimization and deployment</li><li>
Build AI solutions and develop and analyze system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system</li><li>
Collaborate with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of AI systems</li><li>
Keep abreast with the latest advancements in the AI/ML space (models, HW/SW) and drive innovative solutions.</li><li>
Develops new and innovative ideas for a product or feature area</li><li>
Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.</li></ul>
Preferred Qualifications &amp; Skills:<ul><li>
Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field</li><li>
Proficiency in Python and ML frameworks, APIs, REST, microservices</li><li>
Working experience with AI systems</li><li>
Good understanding of GenAI architectures from transformers, diffusion, hybrid - LLMs, LVMs, embeddings</li><li>
Experience with architectural Patterns for Large-Scale AI Systems: Knowledge of microservices, distributed systems, event-driven architectures, fault-tolerant design principles</li><li>
Experience with MLOps for AI application development and deployments</li><li>
Experience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plus</li><li>
Problem solving experience and customer focused</li><li>
Experience with cluster schedulers (Slurm, PBS), orchestrators, workload managers for resource allocation is a plus</li><li>
Experience with observability tools for ML pipelines</li><li>
Experience working in a large matrixed organization</li><li>
Experience with fine-tuning GenAI models and Reinforcement Learning is a plus</li><li>
Well versed with open-source development practices</li><li>
Experience with rack-level orchestration tools and data center automation is a plus</li></ul>
What's on Offer
Apart from working with great people, we offer the below:<ul><li>
Salary including housing &amp; transport allowance</li><li>
Stock (RSU's) and performance related bonus</li><li>
16 weeks fully paid Maternity Leave</li><li>
6 weeks fully paid Paternity Leave</li><li>
Employee stock purchase scheme</li><li>
Child Education Allowance</li><li>
Relocation and immigration support (if needed)</li><li>
Life and Medical Insurance</li><li>
Live+ Well Reimbursement for health and recreational membership fees</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
</li></ul>OR 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
 
OR 
PhD in Engineering, Information Systems, Computer Science, or related field.<ul><li>References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.</li></ul><div>
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).</div>
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.</div>

AI Solutions Engineer (Datacenter AI Engineering) - Riyadh, KSA

Anoware

Job Title: Full-Time Development Team for EdTech MVP (3-Month Launch)We are building an AI-powered EdTech platform and are hiring a high-performance development team to deliver a complete MVP within 90 days. We are looking for skilled developers and designers who can work fast, communicate clearly, and deliver production-quality work.Open Roles1. Backend Developer &mdash; Node.jsRequirements:<ul><li>Strong experience with Node.js + Express</li><li>REST API development</li><li>PostgreSQL or MongoDB</li><li>Authentication, subscriptions, payments</li><li>AI API integration is a plus</li></ul>2. Frontend Developer &mdash; React.jsRequirements:<ul><li>Experience building dashboards and web apps</li><li>Strong API integration skills</li><li>Clean, modular code</li><li>Familiar with modern UI libraries</li></ul>3. Mobile Developer &mdash; React NativeRequirements:<ul><li>Experience building iOS &amp; Android apps</li><li>Strong UI implementation</li><li>Experience with video, quizzes, in-app logic</li><li>Ability to optimize performance</li></ul>4. UI/UX Designer (Figma)Requirements:<ul><li>Strong portfolio in SaaS or EdTech</li><li>Ability to deliver full UI kit and flows</li><li>Mobile-first design thinking</li><li>Fast turnaround</li></ul>5. AI Engineer (NLP + APIs)Requirements:<ul><li>Experience with GPT-based APIs</li><li>Ability to build AI tutoring and scoring logic</li><li>Python or Node.js integration</li><li>Basic understanding of NLP models</li></ul>6. QA TesterRequirements:<ul><li>Experience testing mobile + web apps</li><li>Ability to write clear bug reports</li><li>Ensure product stability before launch</li></ul>Team Responsibilities<ul><li>Build the full EdTech MVP within 90 days</li><li>Implement mobile app + web dashboard + backend</li><li>Integrate AI tutoring features</li><li>Implement quizzes, lessons, and progress tracking</li><li>Deliver stable, production-ready code</li><li>Work in weekly sprints with consistent updates</li></ul>Contract Details<ul><li>Full-time for 3 months</li><li>Remote work</li><li>Performance-based extensions available</li><li>Long-term collaboration opportunity for strong performers</li></ul>Job Type: Full-timePay: &#65020;1.00 - &#65020;1,500.00 per month

Software Developer

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
We are seeking a Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This role involves designing, delivering, and supporting end-to-end AI services, agentic workflows, and fine-tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large-scale data center environments.
You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
Key Responsibilities will include:<ul><li>
API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.</li><li>
Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.</li><li>
Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.</li><li>
LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.</li><li>
SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.</li><li>
Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.</li><li>
Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.</li><li>
Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.</li><li>
Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.</li><li>
Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.</li><li>
Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.</li></ul>
Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
5+ years of software engineering experience; 3+ years in ML or HPC environments.</li><li>
Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.</li><li>
Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.</li><li>
Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.</li><li>
Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.</li></ul>
Preferred Qualifications<ul><li>
Master&rsquo;s degree in Computer Science, Machine Learning, or related field.</li><li>
Experience building inference and fine-tuning pipelines, as well as agentic workflows.</li><li>
Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.</li><li>
Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).</li><li>
Contributions to inference and GenAI model performance optimization.</li></ul>
What's on Offer
Apart from working with great people, we offer the below:<ul><li>
Salary including housing &amp; transport allowance</li><li>
Stock (RSU's) and performance related bonus</li><li>
16 weeks fully paid Maternity Leave</li><li>
6 weeks fully paid Paternity Leave</li><li>
Employee stock purchase scheme</li><li>
Child Education Allowance</li><li>
Relocation and immigration support (if needed)</li><li>
Life and Medical Insurance</li><li>
Live+ Well Reimbursement for health and recreational membership fees</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 
OR 
PhD in Engineering, Information Systems, Computer Science, or related field. 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.</li></ul><ul><li>References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.</li></ul><div>
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).</div>
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.</div>

Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
About the Role
We are recruiting for a Site Reliability Engineer &ndash; Datacentre AI Engineering at Qualcomm Technologies, Inc., located in Riyadh, Saudi Arabia. This role centres on designing, maintaining, and scaling large-scale AI inference systems in a datacentre environment. You will support critical AI use cases, ensuring that Qualcomm&rsquo;s infrastructure is robust, reliable, and scalable for advanced machine learning workloads.
Key Responsibilities will include
AI Infrastructure<ul><li>
Design and maintain large-scale AI Inference systems supporting critical AI use cases.</li><li>
Ensure reliability, operability, and scalability of the Qualcomm data-centre cluster</li><li>
Build software tools and ecosystems around AI software stacks.</li></ul>
AI &amp; ML Engineering<ul><li>
Analyse software requirements and consult with architecture and hardware engineers.</li><li>
Hands-on experience in building Agentic AI solutions, LLM orchestration and agentic AI libraries.</li><li>
Collaborate with model, systems &amp; software teams to improve model performance on AI100 deployments</li><li>
Identify features that optimize workloads for multi-SoC and multi-card systems</li></ul>
Site Reliability Engineering (SRE)<ul><li>
Implement SRE fundamentals: incident management, monitoring, performance optimization</li><li>
Hands-on experience with MLOps tools and practices, ensuring seamless integration of ML models into production</li><li>
Establish operational maturity frameworks and sustainable incident response protocols.</li></ul>
Observability &amp; Tooling<ul><li>
Build tools and frameworks to improve observability and define reliability metrics.</li><li>
Monitor system health using Prometheus, Grafana, Cloudwatch, and custom telemetry.</li><li>
Create and maintain documentation and knowledge base articles.</li></ul>
Automation &amp; CI/CD<ul><li>
Design automation tools to reduce manual processes and operational overhead.</li><li>
Ensure CI/CD reliability for agent deployment cycles.</li><li>
Apply Infrastructure as Code practices using tools like Terraform CDK.</li></ul>
Required Skillset includes:
AI &amp; Deep Learning<ul><li>
Experience with LLMs, NLP, Vision, Audio, and Recommendation systems.</li><li>
Proficiency with LLM inference concepts: token streaming, batching, KV cache.</li><li>
Proficiency in PyTorch, TensorFlow, JAX, and Ray.</li><li>
Familiar with GPU / TPU compute, ML frameworks, checkpointing and distributed inferencing</li></ul>
AI Agent Operations<ul><li>
Experience supporting GenAI or agentic AI applications in production.</li><li>
Familiarity with LLM orchestration, prompt reliability, and RAG systems.</li><li>
Exposure to LangChain, AutoGen, and similar agent orchestration frameworks.</li></ul>
Programming &amp; Software Design<ul><li>
Strong programming skills in Python with experience in PyTorch</li><li>
Scripting (Python, Bash), configuration management (Ansible/Terraform), orchestration</li></ul>
Systems &amp; Infrastructure<ul><li>
Strong Linux fundamentals: shell, systemd, containers, networking (TLS, DNS, HTTP/2, gRPC).</li><li>
Expertise in Slurm (configuration, scheduling, plugins/extensions) or equivalent</li><li>
Good knowledge of networking (RDMA, InfiniBand, RoCE, high-throughput, low-latency networks)</li><li>
Experience operating and scaling distributed systems with high availability.</li></ul>
Observability &amp; Monitoring<ul><li>
Hands-on experience with Prometheus, Grafana, ELK, Loki, Datadog, SIP, Homer.</li><li>
Exposure to hardware health monitoring and system reliability.</li></ul>
DevOps &amp; SRE Practices<ul><li>
Deep understanding of SDLC, release management, and system reliability.</li><li>
Familiarity with CI/CD pipelines (Jenkins, GitLab) and Infrastructure as Code (Terraform CDK).</li></ul>
Qualifications &amp; Experience:<ul><li>
Bachelor's / Masters degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.</li><li>
4-5 years&rsquo; of Software Engineering or related work experience.</li></ul>
What's on Offer
Apart from working with great people, we offer the below:<ul><li>
Salary including housing &amp; transport allowance</li><li>
Stock (RSU's) and performance related bonus</li><li>
16 weeks fully paid Maternity Leave</li><li>
6 weeks fully paid Paternity Leave</li><li>
Employee stock purchase scheme</li><li>
Child Education Allowance</li><li>
Relocation and immigration support (if needed)</li><li>
Life and Medical Insurance</li><li>
Live+ Well Reimbursement for health and recreational membership fees</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
</li></ul>OR 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. 
OR 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 
 
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.</li></ul><ul><li>References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.</li></ul><div>
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).</div>
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.</div>

Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

MBC GROUP

<div>
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 
 Model Development &amp; Implementatio
 
 n: Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks
 </li>
 <li>
 
 .AI Solution
 
 s: Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions
 </li>
 <li>
 
 .Data Analysis &amp; Exploratio
 
 n: Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development
 </li>
 <li>
 
 .Collaborative Problem Solvin
 
 g: Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives
 </li>
 <li>
 
 .Model Optimizatio
 
 n: Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration
 </li>
 <li>
 
 .Scalability &amp; Performanc
 
 e: Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability
 </li>
 <li>
 
 .Stay Current with AI Trend
 
 s: Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage
 </li>
 <li>
 
 .Reporting &amp; Communicatio
 
 n: Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts
 </li>
 </ul>
 
 
 
 
 
 .
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 :
 
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related fie
 </li>
 <li>
 ld.Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analyti
 </li>
 <li>
 cs.Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholde
 </li>
 <li>
 rs.Strong proficiency in programming languages such as Python, R, or simil
 </li>
 <li>
 ar.Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluati
 </li>
 <li>
 on.Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or simil
 </li>
 <li>
 ar.Solid understanding of statistical methods, hypothesis testing, and data modeling techniqu
 </li>
 <li>
 es.Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a pl
 </li>
 </ul>
 
 
 
 us.
</div>

Data Scientist

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