artificial intelligence engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 <ul>
 <li>
 
 AI Solution Design &amp; Development:
 
 </li>
 <li>
 Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks.
 </li>
 <li>
 
 LLM Integration &amp; Generative AI:
 
 </li>
 <li>
 Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation.
 </li>
 <li>
 
 Python Engineering &amp; Backend Development:
 
 </li>
 <li>
 Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI.
 </li>
 <li>
 
 RAG &amp; Semantic Retrieval:
 
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence.
 </li>
 <li>
 
 Agentic AI Development:
 
 </li>
 <li>
 Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner.
 </li>
 <li>
 
 Model Evaluation &amp; Responsible AI:
 
 </li>
 <li>
 Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience.
 </li>
 <li>
 
 Deployment &amp; Production Operations:
 
 </li>
 <li>
 Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques.
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement:
 
 </li>
 <li>
 Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions.
 </li>
 <li>
 
 Innovation &amp; Continuous Learning:
 
 </li>
 <li>
 Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
 
 
 
 
 Azure AI Services:
 
 Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
 
 
 
 Python Programming:
 
 Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
 
 
 
 LLM &amp; Generative AI:
 
 Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
 
 
 
 ML Libraries &amp; Frameworks:
 
 Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
 
 
 
 Vector Databases:
 
 Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
 
 
 
 DevOps/MLOps:
 
 Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
 
 
 
 Cloud Security &amp; Integration:
 
 Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
 
 
 
 AI Ethics &amp; Governance:
 
 Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.
 
 
 
 
 Minimum Experience:
 
 
 
 
 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
 
 
 Mandatory hands-on experience with Microsoft Azure AI Services.
 
 
 Experience working with large-scale datasets and real-time enterprise data.
 
 
 Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.
 
 
 
 
 Knowledge and Skills:
 
 
 
 
 
 Business Understanding:
 
 
 
 Strong understanding of business processes and the ability to identify opportunities for AI-driven optimization and automation across banking domains.
 
 
 
 Analytical &amp; Problem-Solving:
 
 
 
 Excellent analytical, problem-solving, debugging, and performance optimization skills with the ability to troubleshoot AI applications in production and translate complex business problems into AI solutions.
 
 
 
 Communication Skills:
 
 
 
 Strong verbal and written communication skills, capable of explaining complex AI concepts to both technical and non-technical stakeholders.
 
 
 
 Collaboration:
 
 
 
 Proven ability to work effectively in cross-functional teams, collaborating with data scientists, platform engineers, DevOps engineers, business analysts, and product teams.
 
 
 
 Responsible AI Mindset:
 
 
 
 Understanding of AI governance, model risk, data privacy, security, and compliance requirements in a regulated banking environment.
 
 
 
 Production Engineering:
 
 
 
 Ability to build, deploy, monitor, and optimize production-grade AI systems with attention to reliability, scalability, cost, and operational excellence.
 
 
 
 Adaptability &amp; Learning:
 
 
 
 Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving business challenges.
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Engineer

Salt

<div>
 
 
 Job Title &ndash; Ai Engineer
 
 
 
 
 Salary &ndash; AED 25,000 - 28,500 Per Month
 
 
 
 
 Contract Length &ndash; 12 Months Contract
 
 
 
 
 Location &ndash; Dubai
 
 
 
 
 Start Date - ASAP
 
 
 
 
 
 
 My client is a global data, AI, digital transformation, and consulting company that helps organisations use data and technology to improve business performance, customer experience, and decision-making.
 
 
 
 
 
 
 Role Overview
 
 : The AI Engineer is the primary builder within the AWA AICoE. You will design, build, and test the LangGraph agent graphs, LLM extraction pipelines, prompt management workflows, and MCP tool integrations that power AWA's use cases &mdash; starting with Intelligent Document Processing (IDP) for cheque clearing and expanding across the bank's operations. You will work directly with the dual-layer orchestration stack (Orkes Conductor + LangGraph) and Azure AI Foundry to deliver production-grade agentic systems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Agent graph development: Design and implement LangGraph agent graphs for Supervisor-Worker orchestration, self-reflection, actor-critic, and HITL interrupt patterns using TypedDict state schemas and conditional edge routing.
 </li>
 <li>
 LLM extraction pipeline: Build and maintain LLM-based entity extraction pipelines using Azure AI Foundry, implementing structured output enforcement, per-field confidence scoring, and Pydantic output validation against Use Case Manifest schemas.
 </li>
 <li>
 Prompt engineering and governance: Author, version, and govern prompts through the AWA Prompt Management System (PMS) using semantic versioning; run prompt sensitivity and correctness testing using the AWA IDP Test Strategy.
 </li>
 <li>
 MCP tool integration: Develop and maintain the five core MCP tool servers (query_structured, retrieve_precedents, query_documents, checkpoint_state, observe) and extend them for new use case requirements.
 </li>
 <li>
 Model evaluation and testing: Execute Band 1 and Band 2 testing (Model Testing, Prompt Testing, Agent Testing, AI Security Testing, Adversarial Testing) per the AWA IDP Test Strategy; maintain the Golden Dataset and Regression Dataset.
 </li>
 <li>
 HITL framework: Implement HITL interrupt() calls at mandatory and dynamic review points in LangGraph graphs; configure Orkes Wait tasks; validate HITL state persistence and checkpoint-based resumption.
 </li>
 <li>
 AI guardrail integration: Integrate Azure AI Content Safety, PII detection and tokenisation, prompt injection shielding, and output sanitisation into agent pipelines at the AWA AI Gateway layer.
 </li>
 <li>
 Cross-field validation rules: Implement business validation rules (amount-words-vs-figures, date validity, MICR format, referential integrity) within LangGraph validation agent nodes.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills and Experience
 
 
 
 
 Technical &mdash; Essential
 
 
 <ul>
 <li>
 5+ years Python development &mdash; production-grade, not just scripting
 </li>
 <li>
 Hands-on experience with LangGraph, LangChain, or equivalent agentic AI frameworks
 </li>
 <li>
 Practical LLM prompt engineering: structured outputs, few-shot design, output schema enforcement
 </li>
 <li>
 Familiarity with Azure AI Foundry / OpenAI API or equivalent LLM API (Anthropic, Cohere)
 </li>
 <li>
 Understanding of agent design patterns: ReAct, self-reflection, tool use, HITL
 </li>
 <li>
 REST API development and consumption; JSON schema design
 </li>
 <li>
 Git version control; CI/CD pipeline awareness
 </li>
 </ul>
 
 
 
 
 
 Technical &mdash; Advantageous
 
 
 <ul>
 <li>
 Experience with Orkes Conductor, Apache Airflow, or Temporal for workflow orchestration
 </li>
 <li>
 Azure AI Document Intelligence or equivalent OCR platform experience
 </li>
 <li>
 Computer vision model integration (object detection APIs)
 </li>
 <li>
 Knowledge of RAG architectures: chunking, vector indexing, Azure AI Search
 </li>
 <li>
 Azure platform familiarity: AKS, ADLS Gen2, Azure ML, Azure Monitor
 </li>
 <li>
 Pydantic, FastAPI, TypeScript/Node.js
 </li>
 </ul>
 
 
 
 
 
 Domain and Soft Skills
 
 
 <ul>
 <li>
 Genuine intellectual curiosity about AI systems and their failure modes
 </li>
 <li>
 Ability to explain AI behaviour to non-technical Ops and business stakeholders
 </li>
 <li>
 Structured problem-solving and debugging approach for non-deterministic AI systems
 </li>
 <li>
 Banking domain interest &mdash; willingness to deeply understand the business processes being automated
 </li>
 </ul>
 
 
 
 
 Thanks,
 
 
 Ollie
 
 
 
 
</div>

Ai Engineer

INNOBAYT INNOVATIVE SOLUTIONS

About the RoleInnobayt is seeking a highly motivated AI Engineer Intern for a 3-month intensive internship. During this program, you'll gain hands-on experience working on real-world AI projects involving Machine Learning, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and Computer Vision. You'll collaborate closely with our experienced engineering team to develop innovative and impactful AI solutions.Key Responsibilities<ul><li>Assist in developing, fine-tuning, and optimizing machine learning models.</li><li>Build AI-powered solutions, including AI Agents and LLM-based applications.</li><li>Prepare and preprocess datasets for AI model development.</li><li>Research and experiment with LLMs, RAG, prompt engineering, and emerging AI technologies.</li><li>Integrate AI models into applications, APIs, and production workflows.</li><li>Evaluate, test, and improve AI model performance.</li><li>Collaborate with the engineering team on real-world AI projects.</li><li>Document technical work, experiments, and project progress.</li></ul>What We're Looking for Technical Skills<ul><li>Bachelor's degree (or final-year student) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Fresh graduates are encouraged to apply.</li><li>Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.</li><li>Basic understanding of Machine Learning, Deep Learning, Natural Language Processing (NLP), or Computer Vision.</li><li>Familiarity with LLMs, embeddings, vector databases, RAG, LangChain, or OpenAI APIs is an advantage.</li><li>Basic knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus.</li></ul>Language Requirement<ul><li>Fluent in Arabic (required)</li><li>Fluent in English (required)</li></ul>Mindset &amp; Work Approach<ul><li>Passion for Artificial Intelligence and emerging technologies.</li><li>Eagerness to learn, experiment, and solve real-world challenges.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work effectively in a collaborative and fast-paced environment.</li></ul>What We Offer<ul><li>Hands-on experience working on real-world AI projects.</li><li>Mentorship from experienced AI and software engineers.</li><li>Exposure to modern AI tools, frameworks, and industry best practices.</li><li>A nominal monthly stipend (the exact amount will be discussed during the interview).</li><li>Internship certificate upon successful completion.</li><li>Opportunity for a full-time role based on performance.</li></ul>Job Type: InternshipWork Location: In person

AI Engineer Intern – 3-Month Internship

Dezzex

Who we are?Dezzex uses Artificial Intelligence and Machine Learning technologies to advance the motor insurance industry by creating a system to automate claims. We use these technologies to improve insurance processes, reduce operational costs and enable a seamless customer experience. Our solution offering is also designed for the insurance companies, Insurance companies, Smart cities application.For applying as a Sr. Machine Learning Engineer, the person should have overall 7-8 years of experience out of which 4-5 years of experience should be in Machine &amp; Deep Machine learning. Especially using Convolution Neural Network (CNN), Image Analytics TensorFlow, Open CV etc.For applying as just a data scientist (Junior), the person needs to have experience of 3 - 9 years.With our fast-growing data scientist's team, we are looking to hire self-motivated smart individuals who are willing to take challenges in the field of Al image &amp; video analytics &amp; machine learning.Responsibilities:The Machine &amp; Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business.The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) &amp; ML solutions based on our reference architecture which is underpinned by big data &amp; cloud technology, micro-service architecture and high performing compute infrastructure.Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation.Required Skills:An ideal candidate will have background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems.Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open source librariesStrong coding skills and fundamentals in data structures, predictive modelling and big data concepts Experience in designing full stack ML solutions in a distributed compute environmentExperience working with Python, Tensor Flow, Kera's, Sci-kit, pandas, NumPy, AZURE, AWS GPU Excellent communication skills with multiple levels of the organizationPay: AED10,000.00 - AED20,000.00 per monthExperience:<ul><li>ML: 3 years (Required)</li><li>Development: 5 years (Required)</li></ul>Language:<ul><li>Arabic (Preferred)</li></ul>Work Location: In person

Sr. Machine learning engineer.

Cisco

<div>
 Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
 
 
 Cisco Sales Associates Program (CSAP) | EMEA
 
 
 Associate Solutions Engineer &ndash;UAE
 
 
 Year 1 training location: Bedfont Lakes (London)
 
 
 Year 2 location: UAE &ndash; Dubai
 
 
 Target Start Date: March 1, 2027
 
 
 
 Meet the Team
 
 
 
 You will train in Bedfont Lakes alongside a diverse cohort of high-calibre individuals from across the EMEA Region, building a rich professional network and long-lasting friendships. This hub-based environment provides a
 
 "safe-to-fail"
 
 setting where you can master your craft through AI customer simulations and mentored on-the-job activities.
 
 
 Throughout the program, you will collaborate with Cisco Associate Sales Representatives to provide technical solutions that drive business outcomes. You will expand your expertise across
 
 Collaboration, Security, Networking, and Cloud
 
 to bridge the gap between technical requirements and business value. You will learn from industry experts and dedicated coaches using our own leading-edge technology.
 
 
 To support your growth, you will be paired with a
 
 mentor
 
 &mdash;a CSAP (Cisco Sales Associate Program) alumnus who has successfully navigated the program. Supported by a team committed to your success, you will earn industry-standard certifications and gain the expertise required to thrive in elite technical sales opportunities across our global organisation.
 
 
 
 Your Impact
 
 
 
 
 Education
 
 
 
 The CSAP Graduate Program is a 12-month global accelerator designed to develop high-potential individuals into Technical Sales Champions. Built on a model of
 
 Education, Exposure, and Experience
 
 , the program offers a clear progression:
 
 
 <ul>
 <li>
 Month 1&ndash;3 (Bedfont Lakes Hub): Participate in immersive Bootcamp training and foundational technical skill-building.
 </li>
 <li>
 Month 3&ndash;12 (Bedfont Lakes Hub): Complete three rotational assignments for real-world technical sales experience
 </li>
 <li>
 Beyond 12 months: Transition into a Solutions Engineer role in UAE to discover, demonstrate, and design solutions for complex customer challenges.
 
 
 </li>
 </ul>
 Our learning philosophy prioritises
 
 experiential growth
 
 , with the majority of your development occurring through coached, real-world practice within a hub-based cohort of peers. This
 
 immersive approach
 
 ensures you grow and learn through direct application rather than in isolation.
 
 
 A key part of this Program is our
 
 AI-First Mandate
 
 . As an
 
 Associate Solutions Engineer
 
 (ASE) in our Global Sales Enablement &amp; Acceleration team, you will build strong AI skills by using advanced learning platforms and artificial intelligence to design technical solutions and improve strategic decision-making. This trajectory is designed for those looking to outpace the traditional career curve! Through
 
 quarterly competency checkpoints
 
 , high-performers can validate their skills and fast-track into further technical roles before the program concludes.
 
 
 Upon successful completion of the 12-month Early In Career (EIC) program in Bedfont Lakes Hub, as a
 
 Solutions Engineer
 
 (SE), you will join our
 
 Global Virtual Engineering
 
 (GVE) team in Dubai, UAE. GVE is a best-in-class technical presales organisation that provides software and Solutions Engineering services to customers, partners, and internal sales teams. You will discover, demonstrate, and design solutions to address complex customer challenges.
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 You hold a technical degree (Engineering, CS, STEM) or come from a non-traditional background with real-world proof of technical curiosity&mdash;like a home lab, certification, or side project&mdash;and possess the skills to turn complexity into clarity.
 </li>
 <li>
 Fluent in English and Arabic.
 </li>
 <li>
 Legally authorised to work in the country of hire without company sponsorship.
 </li>
 <li>
 You are willing to relocate to Bedfont Lakes (London) for the 12-month training
 
 
 </li>
 </ul>
 
 Preferred Requirements
 
 
 
 <ul>
 <li>
 AI-native mindset with a high degree of learning agility; you are passionate about networking and software (Java/Python) and eager to use AI to automate and innovate the engineering process.
 </li>
 <li>
 High emotional intelligence with the ability to navigate a matrix-based organization, influencing stakeholders and collaborating within a hub-based cohort to drive team success.
 </li>
 <li>
 Analytical resilience, capable of maintaining focus and creativity when solving sophisticated technical hurdles or translating complex requirements into tangible business value.
 </li>
 <li>
 Confident communicator who can deconstruct "black box" technologies into simple, persuasive narratives for diverse audiences.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Associate Solutions Engineer - CSAP - United Arab Emirates (UAE)

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 
 Overview
 
 
 
 Job Description:
 
 Senior Engineer - Full Stack / Focus on Application
 
 
 
 Job Location: Abu Dhabi - UAE
 
 
 
 About Presight
 
 
 
 Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region&rsquo;s leading big data analytics company powered by Artificial Intelligence (&ldquo;AI&rdquo;). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
 
 
 
 The Opportunity
 
 
 
 Presight AI is seeking a motivated and skilled Senior Fullstack Engineer to join our dynamic team building end-to-end AI-powered data processing and analytics platform for the enterprise.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities:
 
 
 In this role, you will help build the distributed backend services and rich UI components that turn raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products. These data products will serve as the foundation for high-performance classical BI analytics as well as modern agentic data engineering and analytics workflows. You may work across functional areas such as data profiling and quality, data governance, ETL pipelines, data warehouse capabilities, agentic data engineering, dashboards, spatial and geospatial analysis, and entity-centric analytics based on ontologies that model real-world objects, events, and relationships.
 
 
 
 Qualifications
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Computer Science, Engineering or related field
 </li>
 <li>
 Strong computer science and basic algorithms knowledge.
 </li>
 <li>
 5+ years of experience in Java, Python building backend services &amp; distributed systems.
 </li>
 <li>
 5+ years of experience building modern frontends with React and TypeScript.
 </li>
 <li>
 Experience designing and building large scale distributed fault tolerant services.
 </li>
 <li>
 Experience building: search, recommendations, or other advanced analytics systems.
 </li>
 <li>
 Strong knowledge about programming principles (SOLID).
 </li>
 <li>
 Strong understanding of data analytics fundamentals and knowledge of basic SQL.
 </li>
 <li>
 Proficient with agentic development tools.
 
 
 </li>
 </ul>
 
 Good to have:
 
 
 
 <ul>
 <li>
 Data engineer experience with Databricks, Snowflake or MS Fabric.
 </li>
 <li>
 Worked with Clickhouse on OLAP/DWH workloads.
 </li>
 <li>
 Experience with batch and stream processing big data using Spark, Trino, Flink, Kafka, etc.
 </li>
 <li>
 Practical experience processing unstructured data with modern models &ndash; OCR, STT, NER, etc.
 </li>
 <li>
 Implemented complex analytics with BI tools such as Tableau, PowerBI or built your own.
 </li>
 <li>
 AI models, python notebook is something you like to play with as well.
 </li>
 <li>
 Have great communication skills and passion in technology and driving thing forward.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.presight.ai Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Senior Engineer - Full Stack

DATAMAZE . AI

<div>
 Hyderabad, India / Dubai, UAE
 
 
 Full-time
 
 
 Apply to Job
 
 
 
 About The Role
 
 
 
 We are looking for a highly motivated Machine Learning Engineer / Data Scientist to join our dynamic team. In this mid-level role, you will leverage your expertise in data science and machine learning to design, build, and deploy innovative models and solutions that address real-world challenges.
 
 
 You will collaborate with cross-functional teams, including data engineers, product managers, and software developers, to turn complex datasets into actionable insights and build machine learning solutions that drive business value. This is a fantastic opportunity to work on impactful projects, expand your skill set, and contribute to cutting-edge advancements in AI and data science.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Model Development: Design, train, and evaluate machine learning models to solve business problems such as classification, regression, clustering, and recommendation.
 </li>
 <li>
 Data Preparation: Work with large and complex datasets, performing data cleaning, preprocessing, and feature engineering to optimize model performance.
 </li>
 <li>
 Model Deployment: Deploy machine learning models into production environments, ensuring scalability and robustness.
 </li>
 <li>
 Algorithm Selection: Research and implement state-of-the-art algorithms and methodologies to enhance model accuracy and efficiency.
 </li>
 <li>
 Collaboration: Collaborate with data engineering teams to build data pipelines and ensure efficient data flow for machine learning workflows.
 </li>
 <li>
 Visualization and Reporting: Create clear and actionable visualizations and reports to communicate findings and results to stakeholders.
 </li>
 <li>
 Monitoring and Maintenance: Monitor model performance in production, address drift or bias issues, and optimize models as needed.
 </li>
 <li>
 Tool Development: Build tools and frameworks to enable rapid experimentation and iteration of machine learning models.
 </li>
 <li>
 Documentation: Maintain comprehensive documentation for models, experiments, and processes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education:
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent experience).
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong programming skills in Python, R, or similar languages.
 </li>
 <li>
 Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
 </li>
 <li>
 Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL.
 </li>
 <li>
 Experience with big data technologies such as Spark, Hadoop, or similar.
 </li>
 <li>
 Knowledge of cloud platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML).
 </li>
 <li>
 Familiarity with MLOps practices and tools for CI/CD in machine learning workflows.
 </li>
 <li>
 Understanding of data visualization tools like Matplotlib, Seaborn, or Tableau.
 </li>
 <li>
 Strong grasp of statistical methods, probability, and optimization techniques.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in machine learning, data science, or a related field.
 </li>
 <li>
 Proven experience building and deploying machine learning models in production.
 </li>
 <li>
 Experience with natural language processing (NLP), computer vision, or time-series analysis is a plus.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking abilities.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Ability to work independently and collaboratively within a team.
 </li>
 <li>
 Curiosity and eagerness to stay updated on the latest advancements in machine learning and AI.
 
 
 </li>
 </ul>
 
 About The Company
 
 
 
 Datamaze is a dynamic company specializing in AI, Data, and Analytics consulting services. We are dedicated to transforming businesses by leveraging the power of data and artificial intelligence. With a team of industry experts in technology, business strategy, and data science, Datamaze offers a range of services including data strategy development, AI model creation, advanced analytics, and data visualization. Our approach is client-centric, focusing on creating customized solutions that address unique business challenges and objectives. The team, comprising data scientists, AI experts, strategists, and engineers, is committed to continuous learning and innovation.
 
 
 Datamaze positions itself as a trusted partner for businesses looking to navigate the complex data and AI landscape, aiming to optimize operations, inform decision-making, and maintain a competitive edge.
 
 
 Apply Now
</div>

Machine Learning Engineer / Data Scientist (Mid-Level)

Explore 239+ Artificial intelligence engineer in Dubai this July. Find roles across top companies and apply now to boost your career.