2026 financial analyst intern Jobs in Riyadh

2026 financial analyst intern

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senior machine learning engineer Jobs in Riyadh

senior machine learning engineer

machine learning intern

Protiviti Middle East Member Firm

<div>
 <p>
  <strong>
   Role Overview:
  </strong>
 </p>
 <p>
  We are seeking a versatile Developer Intern who can contribute to building end-to-end solutions, integrate machine learning models, and leverage data insights to enhance financial services applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Assist in developing frontend and backend components using modern technologies and frameworks
  </li>
  <li>
   Support integration of machine learning model outputs into application workflows
  </li>
  <li>
   Contribute to designing and maintaining data pipelines and real-time dashboards
  </li>
  <li>
   Enable smooth data exchange across different system components
  </li>
  <li>
   Analyze system performance and suggest improvements based on data insights
  </li>
  <li>
   Write clean, maintainable, and well-documented code
  </li>
  <li>
   Participate in testing, deployment, and knowledge transfer activities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Knowledge:
  </strong>
 </p>
 <ul>
  <li>
   Exposure to financial services, FinTech, or regulatory technology environments
  </li>
  <li>
   Familiarity with IoT systems, surveillance platforms, or enterprise-level infrastructure
  </li>
  <li>
   Experience or coursework in building dashboards and data visualizations
  </li>
  <li>
   Basic understanding of time-series data and real-time monitoring concepts
  </li>
  <li>
   Awareness of data security and access control fundamentals
  </li>
  <li>
   Interest in process automation and workflow optimization
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Skills &amp; Competencies:
  </strong>
 </p>
 <ul>
  <li>
   Strong analytical thinking and problem-solving skills
  </li>
  <li>
   Data-driven mindset with attention to detail
  </li>
  <li>
   Ability to interpret technical data and derive meaningful insights
  </li>
  <li>
   Effective communication and teamwork skills
  </li>
  <li>
   Interest in system performance analysis and optimization
  </li>
 </ul>
</div>


Intern For Full Stack Developer/Data Analyst

<div><div><b>We help the world run better</b><br>
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div><p><b><br>
What you&rsquo;ll build</b></p><p></p><p><br>
In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.
</p><p>Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM-based workflows, including prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You&rsquo;ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost-aware, secure, and ready for enterprise scale.</p><p></p><p><b><br>
What you bring:</b></p><br>
<p></p><ul><li>
You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs
</li><li>You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems
</li><li>You have hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference
</li><li>You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics
</li><li>You have experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines
</li><li>You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation, and how to apply them in practical use cases
</li><li>You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores
</li><li>You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact</li></ul><p></p><p><b><br>
About You</b></p><br>
<p></p><ul><li>
You have 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production
</li><li>You are passionate about building reliable, scalable ML systems and take ownership of delivering end-to-end solutions
</li><li>You balance experimentation with engineering rigor, making thoughtful trade-offs to ensure models are both innovative and production-ready
</li><li>You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact</li></ul><p></p><p><b><br>
Where you belong:</b></p><p></p><div><br>
You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.</div><div>
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.</div><p></p><p><b><br>
About the team</b></p><p>
We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.</p><p></p><div><b><br>
Bring out your best</b><br>
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
<br>
<br>
<b>We win with inclusion</b><br>
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>
<br>
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>
<br>
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 450210 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

Machine Learning Engineer

Talent 360

<div><p>We are looking for Saudi graduates to join our team as an <b>AI &amp; Automation Intern (Tamheer Program)</b> in Riyadh.</p><p>
This role is focused on artificial intelligence, workflow automation, and digital transformation, supporting the development of smart systems that improve business operations across different departments such as operations, sales, marketing, and administration.</p><p>
The intern will gain hands-on experience in building AI-driven workflows, working with automation concepts, and supporting the integration of AI tools into real business processes.</p>
Key Responsibilities:<ul><li>Assist in designing AI prompts for business use cases and AI systems</li><li>Support building automated workflows that connect different tools and systems</li><li>Help integrate AI tools with internal business platforms</li><li>Assist in applying AI concepts for task automation and process improvement</li><li>Support development of reusable automation templates</li><li>Work with AI data entry and data preparation tasks</li><li>Help teams adopt AI solutions and improve workflows based on feedback</li></ul><b><br>
Requirements</b><ul><li><br>
Saudi national</li><li>Bachelor&rsquo;s degree</li><li>Unemployed for at least 6 months</li><li>Not previously enrolled in Tamheer</li><li>Interest in AI, technology, automation, and digital transformation</li><li>Basic understanding of AI tools and prompt engineering is a plus</li><li>0&ndash;1 year of experience preferred</li><li>Strong communication, analytical, and problem-solving skills</li><li>Willingness to learn AI systems, automation concepts, and workflow design</li><li>Preferably based in Riyadh</li></ul><b><br>
Benefits</b><ul><li><br>
Tamheer Internship Program (structured training opportunity)</li><li>Hands-on experience in AI, automation, and digital transformation</li><li>Exposure to real business use cases across multiple departments</li><li>Opportunity to work with modern AI tools and automation concepts</li><li>Full-time training experience in Riyadh</li><li>Professional development in a fast-growing technology domain</li></ul></div>

AI & Automation Intern - Tamheer Program | Riyadh, KSA

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


AI/ML Engineer - Remote

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><div>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region <b>. </b>As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</div><p></p><p><b>About the Role
</b></p><p>We are seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.
</p><p></p><p><b>We are looking for </b><b>8+ years Software Engineering or related work experience
</b></p><p></p><p><b>Key Responsibilities will include:
</b></p><ul><li>Improve and optimize key Deep Learning models on Qualcomm AI 100
</li><li>Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
</li><li>Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
</li><li>Build software tools and ecosystem around AI SW Stack.
</li><li>Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
</li><li>Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
</li><li>Optimize the entire deep learning pipeline including graph compiler integration
</li>Apply knowledge of software engineering best practices.<br>
<li>
<br>
<br>
</li></ul><p></p><p><b>Desirable Skills and Aptitudes
</b></p><p></p><p><b>Required Skills and Aptitude
</b></p><ul><li>Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
</li><li>Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
</li><li>Very strong hold on Pytorch and JIT.
</li><li>Well versed with open-source development practices.
</li><li>Ability to work independently, define requirements and scope, and lead a development effort.
</li><li>Mentors and guides team members through influence and example, without direct people‑management responsibility
</li><li>Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
</li><li>Strong developer with a research mindset &ndash; strives to innovate.
</li></ul><p></p><p><b>Preferred Skills
</b></p><ul><li>Experiences to run workloads on large scale heterogeneous clusters is a plus
</li><li>Knowledge of compiler is a plus.
</li><li>Hands-on experience with CUDA, CUDNN is a plus.
</li></ul><p></p><p><b>Qualifications
</b></p><p></p><ul><li>Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
</li><li>8+ years Software Engineering or related work experience.
</li><li>2+ years experience with Programming Language such as C++, Python.
</li></ul><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><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><p></p><p><b>Minimum Qualifications:
</b></p><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
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field.
<br>
<br>
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a motivated and innovative <b>Artificial Intelligence Engineer</b> with <b>3+ years of experience</b> in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on experience in <b>machine learning, data modeling, Python programming, and AI solution development</b>, with the ability to transform business requirements into intelligent systems and predictive models.<br>
<br>
</div><div></div><br>
<p><b>Key Responsibilities:</b></p><br>
<ul><li>
Design, develop, and deploy <b>AI and machine learning models</b> for business use cases.<br>
</li><li>
Build and optimize <b>predictive, classification, and recommendation models</b>.<br>
</li><li>
Work with large datasets to perform <b>data preprocessing, feature engineering, and model training</b>.<br>
</li><li>
Develop AI-driven solutions using <b>Python and machine learning frameworks</b>.<br>
</li><li>
Evaluate model performance and improve accuracy through tuning and validation techniques.<br>
</li><li>
Collaborate with stakeholders to understand business problems and translate them into AI use cases.<br>
</li><li>
Integrate AI models into applications, dashboards, or enterprise systems.<br>
</li><li>
Monitor deployed models and ensure continuous performance improvement.<br>
</li><li>
Prepare technical documentation and support ongoing enhancements.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li>
3+ years of experience in <b>Artificial Intelligence / Machine Learning Engineering</b><br>
</li><li>
Strong proficiency in <b>Python</b><br>
</li><li>
Hands-on experience with <b>machine learning algorithms and model development</b><br>
</li><li>
Experience with libraries such as <b>TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy</b><br>
</li><li>
Good understanding of <b>data structures, statistics, and predictive analytics</b><br>
</li><li>
Experience in <b>data cleaning, feature engineering, and model evaluation</b><br>
</li><li>
Knowledge of <b>SQL and database management</b><br>
</li><li>
Strong problem-solving and analytical skills</li></ul></div></div></div><p></p>

Artificial Intelligence Engineer

Master Works

<div>
 This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, train, and optimize machine learning models for real applications or use cases
  </li>
  <li>
   Translate business and product requirements into scalable ML/AI solutions.
  </li>
  <li>
   Implement feature engineering, model selection, tuning, and evaluation techniques.
  </li>
  <li>
   Develop , and deploy ML models into production environments with high availability and performance
  </li>
  <li>
   Build and maintain ML pipelines (training, validation, deployment, monitoring).
  </li>
  <li>
   Monitor model performance, data drift, and model decay; retrain models as needed.
  </li>
  <li>
   Ensure models meet reliability, scalability, and security standards.
  </li>
  <li>
   Work closely with Data Scientists, Product Managers, and Software Engineers.
  </li>
  <li>
   Collaborate with data engineering teams to ensure high-quality, reliable data pipelines
  </li>
  <li>
   Participate in design and code reviews, ensuring engineering best practices.
  </li>
  <li>
   Optimize models for latency, throughput, and cost.
  </li>
  <li>
   Implement experimentation frameworks (A/B testing, offline evaluation).
  </li>
  <li>
   Apply responsible AI principles, including fairness, explainability, and governance where required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3-7+ years of hands-on experience in Machine Learning or applied AI roles
  </li>
  <li>
   Strong programming skills in Python (and/or Java, Scala).
  </li>
  <li>
   Solid understanding of ML algorithms (supervised, unsupervised, deep learning).
  </li>
  <li>
   Experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  </li>
  <li>
   Experience deploying models using Docker, Kubernetes, or cloud ML services.
  </li>
  <li>
   Strong knowledge of data structures, algorithms, and software engineering principles.
  </li>
  <li>
   Experience working in agile, cross-functional teams
  </li>
  <li>
   Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.
  </li>
  <li>
   Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).
  </li>
  <li>
   Experience with big data technologies (Spark, Kafka, Databricks).
  </li>
  <li>
   Background in NLP, Computer Vision, or Generative AI.
  </li>
  <li>
   Strong problem-solving and analytical thinking
  </li>
  <li>
   Production-first mindset
  </li>
  <li>
   Data-driven decision making
  </li>
  <li>
   High Collaboration and communication skills
  </li>
 </ul>
</div>


AI Engineer

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