69 Artificial Intelligence jobs in Dubai

Job Title: Head of Artificial Intelligence
Reports to: COO
Location: UAE
Industry: Financial Services Job Purpose:
Lead the Artificial Intelligence (AI) strategy, product development, and AI-driven supervisory solutions. This role is instrumental in transforming how regulatory insights are generated, how risks are detected and supervised, and how operational efficiency is achieved through intelligent automation. Lead the design and implementation of AI systems that are not only scalable and performant but also auditable, explainable, and ethically grounded. Job Responsibilities:
AI Strategy & Execution

• Define and execute an enterprise-wide AI strategy aligned with regulatory priorities, innovation goals, and ethical standards.
• Serve as the central point for AI leadership, ensuring alignment across business, supervisory, and operational functions.

• Evaluate and select appropriate AI/ML models based on the regulatory context, interpretability needs, and risk profile.
• Ensure architectural decisions align with governance standards, data environment, and long-term scalability objectives.

• Oversee hands-on design, prototyping, and scaling of AI models and solutions.
• Collaborate with data, policy, and business teams to deploy AI in production environments.
• Ensure robust performance monitoring, model explainability, and continuous improvement.

• Collaborate with Supervision, Enforcement, and Policy & Legal Divisions to embed AI into business processes.
• Engage with fintechs, AI solution providers, regulatory peers, and academic institutions to co-create innovation.
• Represent the firmin external forums on AI and digital transformation in financial regulation.

• Establish and maintain a comprehensive AI governance framework aligned with regulatory objectives, international AI standards, and ethical best practices.
• Ensure AI system transparency, explainability, and auditability, especially for models used in supervisory, risk, surveillance, or enforcement domains.
• Define and implement model risk management practices for all AI/ML models used, including regular validation, performance monitoring, and drift management.

• Operating within the first line of defence, you will share responsibility for ongoing risk management while promoting a strong risk culture within the division and across the organisation in line with the Risk Management Framework.

• Bachelor's degree in computer science, engineering, information technology, or a related field.
• Hands-on AI solution development and deployment in live production environments.
• Strong understanding of machine learning, NLP, intelligent automation, and associated tech stacks.
• Familiarity with AI use cases in areas such as fraud detection, credit risk, regulatory compliance, or customer intelligence.
• 15+ years of experience in the technology domain, with at least 5 years leading AI initiatives at scale, ideally gained through working within the financial services industry in roles involving technology innovation, digital transformation, or advanced analytics.
• Strategic thinking and executive-level stakeholder management skills.
• Strong leadership with the ability to build and manage cross-functional AI teams.
• Regulatory understanding and ethical foresight to ensure AI systems are deployed safely, responsibly, and with measurable impact.
• Deep technical knowledge combined with practical execution ability.
• Experience in implementing AI responsibly with a risk-aware mindset.
• Excellent communication, collaboration, and change management skills.
• Able to explain complex models to non-expert stakeholders.

The role of Senior Change Manager plays a critical part in the successful implementation and adoption of AI initiatives across an organization, through a robust change and communication strategy.

Key responsibilities include planning and coordinating change management strategies, executing and owning delivery quality of change management initiatives, crafting impactful change communications, collaborating and securing buy-in through stakeholder management, and assessing change readiness and mitigating risks.

• Translate organizational vision and strategy into change priorities and overall change management framework for AI adoption.
• Formulate holistic change agenda and objectives for both organizational and departmental levels.
• Develop and implement change management strategies and plans to support the adoption of AI tools and resources.

• Nationals with 10+ years of change management experience, preferably in a technology-driven environment.
• Strong stakeholder management & communication skills to drive AI adoption and engagement across the organization.
• Certified in Change Management (e.g., Prosci, CCMP) with proven expertise in large-scale transformation initiatives.
• Experience with Agile methodologies and the ability to assess change readiness, mitigate risks, and drive adoption.

Quantitative Developer

We are seeking a highly skilled Quantitative Developer to join our team.

This role requires someone who is extremely hard-working and dedicated to delivering high-quality solutions in every aspect of their work.

You will be working on building robust trading systems, designing and implementing trade automation systems to enhance trading efficiency and effectiveness, and collaborating with traders, researchers, and other developers to understand requirements and deliver solutions.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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Principle Responsibilities & Key Results Area

• Identify innovation opportunities around data and datarelated processes that will help our clients implement factbased decisioning processes within their cards and payments program
• Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers Consultants and Data Scientists from both Visa and client organizations to strategies cocreate deploy and reap the benefits of datadriven solutions.
• Work with regional and global Data Science teams to develop highquality analytic products and solutions that promote Visas growth in the region.
• Focus on creating scalable framework for Gen AI ML models
• Keep Visa at the forefront of technological advancement in Data Science by introducing cuttingedge tools and techniques for generating business insights
• Develop nextgeneration analytic methods where existing tools and techniques are inadequate to address business challenges
• Drive commercialization of existing scalable assets (models dashboards solutions).
• Collaborate with internal Technology partners and Data Engineering function to best leverage Visas internal technology platforms data and the broader Visa ecosystem to support our clients technical data needs
• Develop share and build global best practices and knowledge management within the team
• Socialize innovative ideas and approaches that are scalable and have market demand
• Champion internal requirements around Model Risk Management Visa Analytics Rules and Global Privacy standards around client delivery to ensure that Visas highly regarded market standing is maintained
• Work closely with Data Engineering DS teams and vendors communicate the business stakeholders needs and ensure the development team delivers within established acceptance criteria including expected quality and performance.
• Drive strong collaboration with VCA CEMEA Service Line Leads (Portfolio Management Digital Risk Merchant & Acquiring Commercial) understanding the market landscape and demand identification of potential opportunities for scalable solutions collecting business requirements and supporting in market enablement and GotoMarket.
• Work with Global Practice Leads to incorporate best practice source analytical or other services and leverage global consulting solutions.
• Deliver and manage a network of external Vendor or agency partners.

  Maintain excellent relationship with vendor team atlarge supervising deliveries as needed.

  Assist in selecting recruiting inducting and onboarding of vendors

  Work with other teams and external consultants to develop new and improved tools and techniques for future Consulting activities.

• Manage the project budget and resources to perform all required duties.
• Liaise with VISA functional teams Finance Audit Legal Tax Sourcing to define and implement processes to optimize the daily engagement of vendors and the relationships with clients.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Key Competencies

• Minimum of 10 years of expertise in applying Machine Learning solutions to business problems model development and production experience required
• Experience of using GenAIto solve business challenges
• Postgraduate degree (Masters or PhD) in a quantitative field such as Statistics Mathematics Data Science Operational Research Computer Science Informatics Economics or Engineering
• Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments retail banking or retail merchant industries
• Good understanding of Payments and the Banking industry including card verticals such as consumer credit consumer debit prepaid small business commercial and cobranded product
• Expert knowledge of data market intelligence business intelligence and AIdriven tools and technologies with demonstrated ability to incorporate new techniques to solve business problems
• Proven track record in commercializing analytical solutions.
• Experience planning organizing and managing multiple large projects with diverse crossfunctional teams including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring datadriven results to various audience levels
• Proven ability to deliver results within committed scope timeline and budget
• Very strong people/project management skills and experience

Technical Expertise

• Expertise in distributed computing environments / big data platforms (Hadoop Elasticsearch etc. as well as common database systems and value stores (SQL Hive HBase etc.
• Familiarity with both common computing environments (e.g. Linux Shell Scripting) and commonly used IDEs (Jupyter Notebooks).
• Strong programming ability in different programming languages such as Python R Scala and SQL
• Experience in drafting solution architecture frameworks that rely on APIs and microservices
• Proficient in some or all of the following techniques: Linear & Logistic Regression Decision Trees Random Forests KNearest Neighbors Markov Chain Monte Carlo Gibbs Sampling Evolutionary Algorithms (e.g. Genetic Algorithms Genetic Programming) Support Vector Machines Neural Networks etc.
• Expert knowledge of advanced data mining and statistical modeling techniques including Predictive modeling (e.g. binomial and multinomial regression ANOVA) Classification techniques (e.g. Clustering Principal Component Analysis factor analysis) Decision Tree techniques (e.g. CART CHAID)

Leadership Competencies

• Demonstrates integrity maturity and a constructive approach to business challenges
• Serves as a role model for the organization by implementing core Visa Values
• Strives for excellence and extraordinary results
• Uses sound insights and judgments to make informed decisions in line with business strategy and needs
• Able to allocate tasks and resources across multiple lines of businesses and geographies
• Able to influence senior management both within and outside Data Science
• Successfully persuading internal stakeholders to commit to bestinclass solutions when required
• Leverages change management leadership as required
• Fluency in English is mandatory.

Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Remote Work :

No

Employment Type :

Fulltime

You will be responsible for gaining hands-on experience in the application of various methodologies used in analytical and data-driven techniques to optimize operations and enhance decision-making processes.

This opportunity is ideal for recent graduates or individuals with minimal professional experience who are passionate about using data science and analytics to drive business outcomes in a global sales environment. You will collaborate with senior team members and contribute to ongoing projects.

About the opportunity

Role Summary

As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays (e.g., subscription models and rewards), and ads revenue optimization. This leadership position will require close collaboration with product teams, senior marketing and partner growth leadership, ultimately driving data-driven decision-making and achieving transformative business growth.

You will collaborate closely with business leaders, and a dynamic team of data scientists and engineers. Your leadership will ensure the seamless integration of the data value chain—from data collection and modeling to analysis, reporting, and experimentation—ultimately empowering Talabat to achieve operational excellence and unparalleled customer satisfaction.

What’s On Your Plate?

Responsibilities:

• Lead the strategic vision for harnessing data to refine and enhance logistics operations. This involves identifying key opportunities for process optimization, cost reduction, and service quality improvements, ensuring that data science initiatives are perfectly aligned with Talabat’s broader business goals.

• Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights. This includes promoting the use of advanced analytics and data science methodologies across all levels of logistics operations.

• Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams. Ensure that data science projects are integrated with and supportive of overall business strategies, fostering a cohesive approach to achieving Talabat’s objectives.

• Guide, mentor, and develop a highly skilled team of data scientists and data analysts. Set clear performance goals, facilitate professional development opportunities, and foster a supportive and innovative work environment that attracts top talent.

• Spearhead innovative data science projects, including the application of predictive analytics, machine learning models, and optimization algorithms. Focus on projects that have the potential to significantly impact logistics efficiency and customer satisfaction.

• Ensure the development and maintenance of a robust and scalable data infrastructure that supports advanced analytics and data science activities. This includes advocating for best practices in data governance, quality control, and compliance with relevant data protection regulations.

• Oversee the generation of insightful analytical reports and dashboards that track key performance indicators (KPIs) and provide strategic insights to both the logistics team and senior management. Ensure that these insights are actionable and contribute to informed decision-making processes.

• Serve as a key point of communication between the data science unit and both internal and external stakeholders. Translate complex data-driven insights into clear, understandable, and actionable recommendations for various audiences.

• Stay abreast of the latest trends and advancements in data science, logistics, and technology. Incorporate cutting-edge practices and tools into Talabat’s data science strategy to maintain a competitive edge and foster continuous improvement.

• Effectively manage resources and priorities to strike a balance between long-term strategic initiatives and immediate operational needs. Ensure that the data science team’s efforts are focused on projects with the highest potential for positive impact on Talabat’s operations.

• Design, implement, and manage experimental frameworks, such as A/B testing, to validate new ideas and measure their impact on logistics performance. Use these insights to guide continuous improvement efforts.

• Provide expert analytical support to cross-functional teams, assisting in the development of KPIs and goal-setting processes that align with Talabat’s strategic objectives.

• Lead by example to cultivate an environment of excellence and innovation within the data science team. Encourage creative thinking, continuous learning, and the exploration of new ideas to drive forward Talabat’s logistics operations.

What you need to be successful

What Did We Order?

Technical Expertise:

• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.

• Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.

• Demonstrated expertise in data modeling, dimensional design, and the ability to understand and manipulate complex data structures.

• Strong background in experiment design and statistical analysis, capable of conducting and analyzing A/B and multivariate tests.

• Knowledge of Big Data technologies, preferably with experience in BigQuery and the Google Cloud Platform.

• Experience in data engineering and pipeline development, e.g., through tools like Airflow, is highly regarded.

• Familiarity with classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is advantageous.

Qualifications:

• Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.

• A minimum of 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.

• Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.

• Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.

• Demonstrated problem-solving skills with a growth mindset, able to tackle complex challenges and drive forward innovative solutions.

• A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.

Who we are

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.

We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.

Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.

Publicis Media helps clients drive sustainable business growth by harnessing the modern media landscape to drive one-to-one consumer connections at scale. Publicis Media UK is made up of 2000 people working across market-leading media agencies including Zenith, Starcom and Spark Foundry as well as specialist practices Publicis Media Exchange (PMX), Performics, Publicis Sport & Entertainment, Publicis Media Content and NextTECHnow. Together they combine deep expertise in media investment, strategy, insights and analytics, data and technology, commerce, performance marketing and content. Publicis Media is part of Publicis Groupe and is present in more than 100 countries with over 23,500 employees worldwide.

Our Commitment
Publicis Media is committed to building a culturally diverse workforce and therefore strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background.

About Publicis Performics:
Are you ready to re-invent digital marketing? At Performics, we're accelerating the great missions of our clients in the ever-evolving world of Social engine marketing, programmatic, social media, Commerce and affiliates. If you're ready to move at the speed of Google, Facebook, and Amazon, have an entrepreneurial spirit, get excited about finding smarter ways to do things, and demand performance for your clients, we'd love to meet you. We'll give you the tools, support, and freedom to lead, innovate, and grow. We hire exceptional people for our global headquarters in the US alongside major cities across the world. Our international presence spans 57 markets (and growing) including regional hubs in London, Dubai, and Singapore.

Why Work with Us?
The Performics function strategizes and provides digital activation services for global advertisers in over 57+ markets around the world with the aim to deliver the optimal outcome. Our Performance Centre of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients.

We are seeking a highly motivated and experienced AI/Data Science Product Strategy Lead to spearhead the development and implementation of innovative AI-powered solutions that will revolutionize our performance marketing capabilities. This pivotal role will be responsible for envisioning, building, and scaling AI automations and measurement products that directly enhance campaign performance, drive efficiency, and unlock new opportunities for our clients.

You will be at the forefront of leveraging recent advancements in AI, particularly in the areas of Large Language Models (LLMs) and AI agent frameworks, to create truly game-changing solutions within a performance media context. This role demands a strategic thinker with strong technical acumen, a passion for innovation, and the ability to translate complex AI concepts into tangible and scalable product offerings.

• Develop and own the AI product vision and strategy for performance marketing: Define a clear roadmap for AI-powered products and automations that address key challenges and opportunities within performance media, aligning with the agency's overall strategic objectives

• Lead the ideation, development, and launch of AI-driven solutions: Conceptualize and build innovative AI products and automations focused on areas such as campaign optimization, audience segmentation, creative generation, bid management, reporting, and measurement

• Develop and implement AI-powered measurement solutions: Create advanced attribution models, predictive analytics tools, and automated reporting dashboards that leverage AI to provide deeper insights into campaign performance and ROI

• Build and deploy AI automations leveraging LLMs and AI agent frameworks: Design and implement solutions using cutting-edge technologies like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, and similar frameworks to automate tasks, enhance decision-making, and improve campaign performance

• Stay ahead of the curve on emerging AI technologies: Continuously research and evaluate new advancements in AI, particularly in the areas of LLMs, generative AI, and agent frameworks, and identify opportunities for their application within performance marketing

• Collaborate with cross-functional teams: Work closely with media buyers, analysts, data scientists, and engineering teams to define product requirements, manage development sprints, and ensure successful product launches and adoption

• Drive the adoption and scaling of AI solutions: Develop and implement strategies to ensure the successful integration and adoption of AI products across the agency's client portfolio, focusing on measurable impact and scalability

• Prototype and iterate rapidly: Develop MVPs and prototypes to test and validate AI solutions, iterating based on feedback and data

• Write clean, efficient, and well-documented code: Contribute to the development of AI solutions through coding and scripting, ensuring maintainability and scalability

• Extensive experience in product roles within the performance marketing or advertising technology space, with a strong focus on AI and automation

• Proven experience building and launching AI-powered products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions

• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges

• Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks

• Familiarity and practical experience with tools like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar

• Demonstrated ability to identify innovative AI solutions and successfully scale them within an organization

• Strong coding skills in Python or similar languages, with experience in developing and deploying AI/ML models

• Proficiency in working with data and analytics platforms, including experience with data manipulation, analysis, and visualization

• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights

• Strong communication, presentation, and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Marketing, or a related field

Bonus Points:

• Experience working in or with performance media agencies

• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure)

• Familiarity with marketing automation platforms and APIs

• Contributions to open-source AI projects or publications

Publicis Mediahas fantastic benefits on offer to all of our employees. In addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Planswe also offer;

• WORK YOUR WORLDopportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.
• REFLECTION DAYS- Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care.
• BENEFITS24/7 helpline to support you on a personal and professional level.Access to remote GPs, mental health support and CBT.Wellbeing content and lifestyle coaching.
• FAMILY FRIENDLY POLICIESWe provide 26 weeks of full pay for the following family milestones: Maternity. Adoption, Surrogacy and Shared Parental Leave.
• FLEXIBLE WORKING, BANK HOLIDAY SWAP&BIRTHDAY DAY OFFYou are entitled to an additional day off for your birthday, from your first day of employment.
• GREAT LOCAL DISCOUNTSThis includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre.

Full details of ourbenefits will be shared when you join us

Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week.

We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process.

Please make sure you check out the Publicis Career Pagewhich showcases our Inclusive Benefits and our EAG's (Employee Action Groups).

We are seeking a knowledgeable and passionate Part-Time Data Science AI Trainer to deliver high-quality training sessions on Artificial Intelligence concepts and tools. This is an excellent opportunity for professionals with experience in AI and machine learning who are looking to share their expertise with aspiring learners while maintaining flexibility in their schedules.

Key Responsibilities:

1. Conduct online sessions on AI fundamentals, machine learning, deep learning, NLP, and other relevant topics.

2. Prepare and deliver curriculum, course materials, practical assignments, and assessments.

3. Guide and mentor students through projects, doubt-clearing sessions, and evaluations.

4. Stay updated with the latest trends and advancements in AI.

5. Collaborate with the academic/tech team to improve content quality and delivery.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.

2. Strong theoretical and practical understanding of AI/ML concepts.

3. Proficiency with tools and frameworks such as Python, TensorFlow, PyTorch, Scikit-learn, etc.

4. Prior experience in teaching/training (preferred but not mandatory).

5. Excellent communication and presentation skills.

Preferred Skills:

1. Python, ML, NLP, PowerBi/Tablue, Excel , sql

2. Machine Learning Expertise: Experience in model development, tuning, and evaluation.

3. NLP Frameworks: Familiarity with tools like NLTK, SpaCy, or Hugging Face Transformers.

4. Web Development with Django: Skilled in REST APIs and SQL database integration.

5. Communication: Able to break down complex concepts into engaging, understandable lessons.

6.Candidate Having Experience of 1 to 2 Years Needs to Apply

Education

Contacts

Email:
Call: +91

Valid through

August 16, 2025

Date posted

August 8, 2025

Job Location

Galtech School Of Technology, Thrissur, Kerala, 680308, India

Employment Type

Part-time

Skills

Python, ML, NLP, PowerBi/Tablue, Excel , sql

Information Technology

INR1000 - INR2000 Per month

Working Hours

7 to 10 PM

We provide the Complete Range of Digital Services which includes Website Designing, Web & Mobile Application Development and Digital Marketing. We have our In-house team who are passionate and well adapted to latest technologies.

27 Old Gloucester Street, London, England, UK, WC1N 3AX

M A Q Computer Services L.L.C, Office No: 35, 19th Floor, The Binary Tower by Omniyat, Marasi Dr, Business Bay, Dubai, UAE

Office No: 3A-4, Third Floor, Indeevaram, Special Economic Zone (SEZ), Infopark Thrissur Campus, Koratty P O, Thrissur District - 680308