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ai specialist

Amaris Consulting

<div>
 
 Job Description
 
 
 
 We are looking for a
 
 skilled and impact-oriented Senior Data Scientist
 
 to join our advanced analytics team. In this role, you will take ownership of complex, end-to-end data science projects&mdash;from design and modeling to deployment and integration. You will play a key role in shaping our airline&rsquo;s digital retail transformation and revenue optimization strategy using the latest in machine learning, AI, and real-time analytics.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Leading end-to-end data science projects, including model design, development, deployment, and monitoring in production environments
 </li>
 <li>
 Collaborating with integration engineers to manage testing workflows and production rollouts
 </li>
 <li>
 Designing and implementing models for dynamic pricing and optimization (prior experience is a strong plus)
 </li>
 <li>
 Building ML models for dynamic bundling and product recommendation systems
 </li>
 <li>
 Contributing to revenue management initiatives as part of the Modern Airline Retailing transformation
 </li>
 <li>
 Participating in exploratory projects involving chatbots, generative media (visuals/videos), and Agentic AI, based on evolving business needs
 </li>
 <li>
 Analyzing existing datasets to develop decision support systems and advanced analytical models
 </li>
 <li>
 Performing application-level integrations when needed to support end-to-end solution delivery
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Engineering, Statistics, or a related field
 </li>
 <li>
 Minimum 4 years of industry experience in data science, machine learning, or applied AI roles
 </li>
 <li>
 Strong command of machine learning, predictive modeling, and optimization techniques
 </li>
 <li>
 Proficiency in Python and key data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Experience with production-grade model deployment and monitoring
 </li>
 <li>
 Familiarity with SQL, Airflow, and version control tools such as Git (BitBucket)
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (e.g., Kubernetes, ideally OpenShift)
 </li>
 <li>
 Strong collaboration and communication skills to work across data, engineering, and business teams
 
 
 
 </li>
 </ul>
 
 Ready to take off with us? Apply now and be part of the journey.
 
 
 
 
 Amaris Consulting is committed to promoting diversity within its workforce and to creating an inclusive work environment. We review applications from all qualified individuals regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or any other characteristic. Special consideration will be given to candidates with disabilities.
 
</div>

Data Scientist (Hybrid)

Sigortam.net

<div>
 
 
 We are embarking on an exciting journey at Sigortam.net!
 
 As the first and largest insurance marketplace in Turkey, Sigortam.net currently cooperates with 25+ insurance companies to serve 10+ million customers and this is just the beginning.
 
 Our dream is to become the leading tech company in the region
 
 , which brings a positive impact to the insurance sector through better customer experience driven by technology.
 
 
 
 
 
 
 We strongly believe in the value of putting people first
 
 &ndash; our colleagues and customers &ndash; and are rebuilding the organization with exceptional talent.
 
 We are a team of empowered individuals with a growth mindset
 
 and desire to learn in a fast-paced environment.
 
 We are looking to welcome colleagues who will take full ownership
 
 , challenge the status-quo, persist in the face of setbacks and test new things.
 
 Fast and data-driven decision-making is part of our DNA
 
 : We believe in the value of making fast decisions, learning and improving.
 
 
 
 
 
 
 At Sigortam.net, we succeed or fail as a team
 
 . Our colleagues do not feel threatened by the success of others, but rather find inspiration in them.
 
 Humility is a "must have"
 
 quality we seek in every candidate we meet. If you are up for this challenge and exciting journey, come and join us!
 
 
 
 
 
 Sigortam.net is currently seeking a
 
 "Data Scientist"
 
 to join their Data Analytics team. In this role, you will play a key part in developing and optimizing
 
 machine learning models, data pipelines, and analytical frameworks
 
 that power our decision-making processes. This position requires a blend of
 
 technical expertise and strategic thinking
 
 , with a strong focus on leveraging
 
 data science and AI-driven insights
 
 to enhance business outcomes.
 
 
 
 
 
 The
 
 Data Analytics Chapter
 
 at
 
 Sigortam.net
 
 is responsible for shaping and executing the company's
 
 data analytics strategy
 
 . Our mission is to drive
 
 data-driven decision-making
 
 with a strong customer focus while fostering a culture of data literacy across the organization. We actively promote the adoption of
 
 data-driven solutions
 
 to enhance business impact.
 
 
 
 
 
 We are looking for a
 
 Data Scientist
 
 to join our team and contribute to our data-driven initiatives.
 
 
 
 
 
 
 Your profile:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 
 
 or a related STEM discipline with strong quantitative skills.
 </li>
 <li>
 
 1&ndash;3 years
 
 of hands-on experience in
 
 Data Science
 
 ,
 
 Machine Learning
 
 , or
 
 AI
 
 projects
 </li>
 <li>
 
 Strong proficiency in Python and SQL
 
 is essential, with hands-on experience in
 
 data manipulation (Pandas, NumPy), machine learning (Scikit-learn), and working with large-scale datasets
 
 .
 </li>
 <li>
 
 Hands-on experience with LLM ecosystems
 
 (OpenAI, Hugging Face, LangChain, vector DBs such as Pinecone or Milvus) and prompt engineering / fine-tuning is a strong plus.
 </li>
 <li>
 Solid understanding of
 
 statistical modeling
 
 ,
 
 data mining
 
 , and
 
 ML lifecycle
 
 : from feature engineering to model tuning, evaluation, and deployment
 </li>
 <li>
 
 Familiarity with MLOps practices
 
 , such as
 
 model monitoring, versioning, automated retraining, and deployment pipelines
 
 . Experience with
 
 MLflow
 
 for experiment tracking, model management, and lifecycle automation is a plus
 </li>
 <li>
 
 Experience in managing and optimizing Datamart structures
 
 , ensuring data integrity, performance, and scalability
 </li>
 <li>
 Comfortable building and updating dashboards using
 
 Power BI
 
 (or similar tools); knowledge of visualization libraries such as matplotlib, seaborn, or plotly is a plus
 </li>
 <li>
 Excellent communication skills, capable of simplifying complex information into actionable and executable points for both
 
 C-level executives
 
 and
 
 business units
 
 </li>
 <li>
 Ability to extract valuable insights from data and adeptly craft engaging narratives that truly resonate with
 
 business stakeholders
 
 through
 
 powerful storytelling
 
 </li>
 <li>
 Experience with
 
 Git
 
 </li>
 <li>
 
 Agile
 
 methodology knowledge is a plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Your role:
 
 
 <ul>
 <li>
 
 Conduct exploratory data analysis
 
 
 (EDA)
 
 to gain deep insights into the dataset, enabling effective evaluation and drawing meaningful conclusions.
 </li>
 <li>
 Collaborate with cross-functional teams (product, growth, engineering, operations) to
 
 translate business needs into data solutions
 
 , uncover customer issues, and develop measurable impact.
 </li>
 <li>
 Take end-to-end ownership of the
 
 analytics and modeling lifecycle
 
 &mdash;from problem framing to deployment&mdash;ensuring solutions are robust, scalable, and aligned with business goals.
 </li>
 <li>
 
 Develop and maintain machine learning models,
 
 ensuring they remain
 
 accurate
 
 
 and
 
 
 relevant
 
 by monitoring performance, detecting drift, and retraining when necessary.
 </li>
 <li>
 
 Implement and oversee MLOps processes
 
 , including
 
 model deployment, versioning, and automation,
 
 to ensure models are efficiently integrated into
 
 production environments.
 
 </li>
 <li>
 
 Design and deploy LLM-powered solutions
 
 such as retrieval-augmented generation pipelines (RAG), document Q&amp;A systems, and customer service chatbots that drive internal efficiency and enhance customer experience.
 </li>
 <li>
 Proactively explore emerging techniques in
 
 ML and Generative AI
 
 , especially those applicable to the insurance domain, and champion their adoption where they create value.
 </li>
 </ul>
 
 
 
 
 
 
 
 Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the
 
 https://www.sigortam.net/calisan-adayi-aydinlatma-metni/
 
 link.
 
</div>

Data Scientist

Provenir

<div><div>Who We Are 
Provenir is a global fintech company with offices across North America, the UK, and Singapore. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you&rsquo;d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!</div>
<div></div><div>What You&rsquo;ll Do 
We are seeking a commercially-minded Data Scientist to join our global team, designing and delivering solutions that are deployed across our banking and financial services clients. You will work with a variety of data sources to create, validate, and optimize AI and Machine Learning models that drive measurable business outcomes. 
Your primary focus will be to serve as the Data Science business partner for Turkey, working closely with Sales, Professional Services, and customer stakeholders to understand their needs and deliver tailored solutions. You will ensure that models and insights are both technically robust and aligned with local market requirements, regulatory expectations, and business objectives.</div>
<div></div><div>In addition, you will have the opportunity to contribute to global projects as part of the wider Data Science team. This will include sharing best practices, collaborating on model development, and supporting initiatives in other markets when needed.</div>
<div></div><div>This is a remote role with approximately 20% travel is required to clients in Turkey, typically at critical points within the delivery, like project initiation and/or handover of the solution to the client.</div>
<div></div><div>Your Responsibilities</div>
<ul><li>Identify and source relevant data to build, calibrate and deploy state-of-the-art models using the latest AI/ML technologies and methods.</li>
<li>Understand the problems of our clients, designing appropriate Data Science solutions that meet their business requirements.</li>
<li>Partner with our Solutions Architects and Engineering teams to integrate ML and AI solutions within Provenir products.</li>
<li>While working in a fast-paced environment, interpret, document and successfully communicate solutions to stakeholders, including those in non-technical and senior management roles.</li>
<li>Provide expert input into future analytical strategies and product development</li>
<li>Contribute towards the commercial success and revenue generation</li>
<li>Provide technical guidance to the Sales, Pre-Sales and Professional Services on commercial Data Science opportunities across Turkey and the rest of the world.</li>
</ul>
<div> 
Your Strengths and Skills &#65039;</div>
<ul><li>You have a minimum of 3 years experience in a data science role, including hands-on experience in developing supervised and unsupervised advanced machine learning algorithms.</li>
<li>You have strong data wrangling and manipulation skills for merging, cleansing, and sampling data</li>
<li>You have domain experience in Fraud, Credit Risk Management or Marketing analytics.</li>
<li>You actively participate in team meetings and can clearly and concisely articulate.</li>
<li>You will take initiative, learn quickly and are able to adapt to shifting priorities.</li>
</ul>
<div> 
Although not essential, it would be great if you also have any of these strengths,</div>
<ul><li>You have B2B client-facing experience, where you can talk confidently about data and AI.</li>
<li>You have good knowledge of data and banking regulations (e.g. BDDK, KVKK, etc)</li>
<li>You follow best practices across the MLOps lifecycle (e.g. CI/CD, pipeline orchestration and containerization).</li>
</ul>
<div> 
Interview Process</div>
<ul><li>The interview process would typically be structured as follows:</li>
<li>Initial chat. This will be with a member of our recruitment team to get a better understanding of your current situation, what you are looking for and any questions you may have.</li>
<li>Technical Challenge. This is a take home task where you will solve a typical Data Science problem in your own time. It will give you an insight into the exciting problems we solve.</li>
<li>Technical Interview. This will be with two data scientists from the global team and primarily consist of technical questions.</li>
<li>Local Team Interview. This will be with Sales Executive and Solutions Architect based in Turkey, and cover mostly business and behavioural competencies.</li>
</ul>
<div> 
What You&rsquo;ll Love about Us 
Our employees are empowered to be curious, forward-thinking leaders. We ask them to explore the uncharted and invent the unimagined. That&rsquo;s what makes Provenir unique. 
We offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly options, along with benefits to plan for your future.</div>
<div> 
At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.</div></div>

Data Scientist (Turkey)

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘
 
 
 
 
 
 .
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul
 
 
 
 
 
 
 About ING
 
 
 
 Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, Omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make a difference by using the latest Analytics techniques to generate data-driven approaches and conversational products and solve real business challenges, please read on.
 
 
 
 
 
 
 ING Analytics
 
 
 
 ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 COO Analytics- Customer Due Diligence
 
 
 
 You will be part of the COO Analytics Tribe, which delivers generative AI , AI and advanced analytics capabilities to all ING countries.
 
 
 Specifically, you will help creating innovative-scalable-data driven solutions in the space of Customer Due Diligence. You proactively work with teams to implement these solutions across the organization. You will work collaboratively with an extended group of stakeholders, including global and local KYC (Know Your Customer).
 
 
 Your mission will be to ensure the improvement of our products with a team and supporting all ING countries in reaching their targets by providing smart advanced analytics solutions, to strengthen ING leadership in digitalization &amp; support our 40 million customers.
 
 
 We work in a fun and creative environment, and we&rsquo;re dedicated to bringing out the best in both our relations and our projects, ranging from enhancing our virtual assistants in production via innovative NLP techniques sush as Generative AI and Large Language Models, to building speech analytics use cases across all the countries ING operates in.
 
 
 
 
 
 
 The opportunity
 
 
 
 As a NLP/LLM Data Scientist, you will be joining the global ING Analytics organization and will partner with Machine Learning (ML) Engineers and Customer Journey Experts to design and implement leading-edge conversational AI products, such as agent assists and Retrieval Augmented Generation systems using LLMs. As an NLP/LLM data scientist, you understand business needs, perform data preprocessing and analysis, and build machine learning models and/or design and implement NLP models using managed LLM services for speech and text data to improve our platform and ING&rsquo;s KYC agents&rsquo; efficiencies globally.
 
 
 
 
 
 
 A day in the life of an NLP Data Scientist
 
 
 
 
 
 
 After your morning coffee, you stand up with data engineers to understand the best scalable way to get models to run in production, leading the way in how to approach a modeling problem and to turn data into business value. You talk to the business to convince them that your solution has value and you incorporate their feedback into your modeling pipeline. After a lunch break with colleagues, you think of a new technology you&rsquo;d like to try out. You start investigating and write it up for the next experimentation day or demo. At the end of the afternoon, you finalize some comments other colleagues from the ING Analytics Community had on your latest blog post or start building your presentation for the next conference you will be presenting at. As a Data Scientist working for ING Global Analytics, you&rsquo;ll never get bored with many experienced and skilled colleagues around you, the freedom to innovate, and to not only use open source and cloud managed service tooling, but also contribute and teach about them.
 
 
 
 
 
 
 You Will Be Responsible For
 
 
 <ul>
 <li>
 Design and implementation of solutions using Generative AI and LLM technologies
 </li>
 <li>
 Developing production level NLP models
 </li>
 <li>
 Working with ML Engineers to productionize your developed NLP models
 </li>
 <li>
 Using the cutting-edge NLP and (Gen)AI frameworks and technologies such as Large Language Models and Generative AI
 </li>
 <li>
 Following best practices in developing ML code and ML software tests
 </li>
 <li>
 Making design and technical decisions for (Gen)AI projects at ING Analytics. Supporting local teams in several countries and their projects. Participating in design, analysis, and interpretation of business hypotheses and exploring datasets. Recommending ideas to the business based on data.
 </li>
 <li>
 Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
 </li>
 <li>
 Contributing to strengthening the data analytics capability within the team.
 </li>
 </ul>
 
 
 
 
 
 About you
 
 
 <ul>
 <li>
 Always thinking a step ahead and never satisfied with the status quo
 </li>
 <li>
 Enthusiasm for helping others to be successful and a talent for taking it on and making it happen
 </li>
 <li>
 You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback
 </li>
 <li>
 You embrace challenges in a fast-changing and complex environment
 </li>
 <li>
 You are a naturally collaborative person who listens and invests in others to achieve common goals
 </li>
 <li>
 You have a Pro-active and can-do attitude (self-steering)
 </li>
 <li>
 You take pride in your code and take responsibility for keeping it running in production
 </li>
 <li>
 You combine both thinking of the future and a hands-on, right now attitude
 </li>
 <li>
 You enjoy working in a team, with highly skilled people, having a creative atmosphere where trying out new things is encouraged.
 </li>
 </ul>
 
 
 
 
 
 How to succeed
 
 
 <ul>
 <li>
 Degree in Computer Science, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.
 </li>
 <li>
 A minimum of 2 years experience in building Natural Language Processing or Information Retrieval pipelines and models
 </li>
 <li>
 Experience with operationalisation of LLMs or Generative AI applications
 </li>
 <li>
 You have an in-depth understanding of algorithms like Transformers, Recurrent Neural Networks, and Convolutional Neural Network
 </li>
 <li>
 Strong programming skills in Python, experience in delivering production grade code, and reasonable SQL understanding
 </li>
 <li>
 Can build an &ldquo;end-to-end ML software product&rdquo; which has NLP/IR component
 </li>
 <li>
 Experience with Deep Learning frameworks like Tensorflow and PyTorch
 </li>
 <li>
 You have excellent oral and written communication skills at the technical and business level
 </li>
 <li>
 Fluent in written and spoken English.
 </li>
 <li>
 Familiarity with Agile Scrum way of working
 </li>
 </ul>
 
 
 
 
 
 Nice To Have
 
 
 <ul>
 <li>
 Experience with Google Cloud Platform
 </li>
 <li>
 Experience with applying NLP on banking and/or KYC domains
 </li>
 <li>
 Knowledge of DevOps practices including Git and CI/CD
 </li>
 <li>
 Experience with CI/CD for Machine Learning pipeline (CD4ML).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer at ING Hubs Turkiye
 
 
 
 
 
 
 At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here&rsquo;s what you can expect when you join our organization:
 
 
 
 
 
 
 Be Yourself, Be an ING'er
 
 
 
 
 
 <ul>
 <li>
 
 Dynamic Environment:
 
 Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.
 </li>
 <li>
 
 Innovation Culture:
 
 Share your innovative ideas while exploring PACE methodology with us.
 </li>
 <li>
 
 Global Exposure:
 
 Participate in global projects and expand your career opportunities.
 </li>
 <li>
 
 Communication &amp; Celebrations:
 
 Enjoy various communication activities and celebrations that promote a friendly work environment.
 </li>
 <li>
 
 Health Care:
 
 Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.
 </li>
 <li>
 
 Private Pension Plan:
 
 Secure your future dreams with our private pension plan.
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
</div>

Senior NLP Data Scientist

Advantech

<div>
 
 Advantech is currently looking for an experienced
 
 Key Account Sales Specialist
 
 who own a pivotal role in the growth of the Embedded Computing business. You must be a well-polished communicator capable of approaching and managing corporate clients in the B2B space in Turkey. You will be responsible for driving growth in revenue across the business through improving our planning, communications, and depth of relationship with clients, becoming a trusted advisor to both internal and external stakeholders.
 
 
 
 
 
 
 Reporting of the role:
 
 
 
 This role report to the
 
 HQ EIoT Sales Manager
 
 
 
 
 
 
 
 Responsibilities of the role:
 
 
 <ul>
 <li>
 Achieve or exceed assigned sales quota for assigned company product lines.
 </li>
 <li>
 Identify new opportunities and come out strategic business plan to increase customer base and generate additional revenue.
 </li>
 <li>
 Build up long-lasting relationship with existing partners and new customers to ensure long-term business growth.
 </li>
 <li>
 Plan and implement result-driven sales &amp; marketing activities.
 </li>
 <li>
 Report sales result, business progress, and key action plan to management in regular basis.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Proficient in Turkish and English
 </li>
 <li>
 Minimum bachelor&rsquo;s degree required (Business, Computer Science, Engineering or equivalent)
 </li>
 <li>
 At least 1-3 years of experience selling embedded and computer system level products.
 </li>
 <li>
 Strong computer knowledge (Embedded Computers, Edge AI &amp; Intelligence Solutions, Industrial PC, Industrial Motherboards, and Computer on Modules) is a plus.
 </li>
 <li>
 Strong presentation skills and familiar with PowerPoint.
 </li>
 <li>
 Familiar with MS Office tools as part of detailed reporting requirements.
 </li>
 <li>
 Excellent communication and negotiation skills are required.
 </li>
 <li>
 Result-oriented, consultative and a passion for excellence in sales
 </li>
 <li>
 Efficient time management and strong organizational skills
 </li>
 <li>
 Positive, proactive, organized and proven ability to multi-task in a challenging environment
 </li>
 </ul>
 
 
 
 
 
 About Advantech
 
 
 
 Advantech&rsquo;s corporate vision is to enable an intelligent planet. Advantech is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the Edge Intelligence WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence.
 
 
 
 
 
 Discover more about Advantech at https://www.advantech.com
 
 
 Follow Advantech on LinkedIn https://www.linkedin.com/company/advantech
 
 
 Follow Advantech on http://www.facebook.com/AdvantechCareers
 
</div>

Key Account Sales Executive

Accenture

<div>Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.
What&rsquo;s in it for you?
&#10024;Work-Life Balance: Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours
Health &amp; Wellness: Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program
Transportation: Shuttle service / Transportation support
 Financial Benefits: Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
Professional Development: Learning budget / Personal career development with People Leads / Buddy Program
Work Environment: Working on international projects with a globally diverse team / A fast-paced technology environment</div>
 
<div></div><div><div><div><div><div><div><div><div><div><div>Key Responsibilities:<ul><li>
Develop, execute, review, and update test cases based on given requirements.</li><li>
Identify, document, and track bugs; perform retests to ensure bug resolution.</li><li>
Prepare and report test results, including identified bugs and test execution status.</li><li>
Automate regression tests to streamline testing processes.</li><li>
Pursue opportunities to improve delivery quality and efficiency within the organization.</li></ul> 
Required Qualifications:<ul><li>
Bachelor&rsquo;s or higher degree in Computer Science, Computer Engineering, or a related engineering fields.</li><li>
1+ years of software testing or test automation experience.</li><li>
Experience in one or more programming/scripting languages such as Python, Java etc.</li><li>
Experience in one or more of the following: Web technologies, Mobile technologies, Embedded systems.</li><li>
Experience in test automation tools such as Selenium, Appium etc.</li><li>
Familiarity with at least one test automation framework such as pytest, TestNG, Cucumber, Robot Framework etc.</li><li>
Knowledge in one or more of the following is a plus: Linux, Docker, AI, CANoe</li><li>
Familiarity with DevOps practices (Continuous Integration, Jenkins) is a plus.</li><li>
Experience in Version Control Systems (Git) is a plus.</li><li>
Strong written and verbal communication skills in English</li><li>
ISTQB certification is a plus. 
 
Ready to make an impact? If you are excited about working with cutting-edge technology and participating in thrilling international projects, we want to hear from you! Join Accenture and achieve your goals. 
#GreatPlaceToWork 
Apply Now!</li></ul></div></div></div></div></div></div></div></div></div></div>

Junior Test Engineer

Orcawise

Legal Fellows &ndash; Responsible AI (RAIMS RAG Content Development)Location: Remote (Global)Start Date: RollingCommitment: Part-time or Project-Based (Flexible)Program: Orcawise Innovation Program (OIP)About the OpportunityAre you a legally-minded innovator who&rsquo;s passionate about Responsible AI?Join us at OIP Orcawise Innovation Program, a 100-day research-based work experience program helping graduates and experienced legal professionals transition to a career in AI.Orcawise is building the world&rsquo;s first RAIMS&trade; (Responsible AI Management System) aligned with ISO 42001, the EU AI Act, and emerging governance standards.We&rsquo;re seeking talented legal minds to help us shape the knowledge engine that powers RAIMS RAG&mdash;a retrieval-augmented system that makes complex AI laws, policies, and standards accessible to real-world teams.What You&rsquo;ll Do<ul><li>Translate laws and policies (EU AI Act, ISO 42001, NIST AI RMF, etc.) into structured, explainable Q&amp;A content</li><li>Build modular legal knowledge chunks for RAG (retrieval-augmented generation) pipelines</li><li>Draft plain-language answers to prompts like:</li><li>&ldquo;What are our Article 29 obligations for high-risk AI?&rdquo;</li><li>&ldquo;How do we show human oversight under ISO Clause 8?&rdquo;</li><li>Label and tag content by risk tier, audience, regulation, and governance role</li><li>Collaborate with legal engineers, prompt writers, and compliance leads</li></ul>Ideal Profile<ul><li>Background in Law, Policy, Regulatory Affairs, or Compliance</li><li>Familiarity with at least one of the following:</li><li>EU AI Act, GDPR, ISO 42001, ISO 23894, NIST AI RMF</li><li>Ability to write plain-language, high-precision summaries of legal text</li><li>Interest in AI, LLMs, and Responsible Tech</li><li>Bonus: experience with AI policy research, AI audits, or prompt engineering</li></ul>Who This Is ForThis role is perfect for:<ul><li>Legal analysts or compliance professionals exploring AI governance</li><li>JD / LLM / PhD students in tech law, data protection, or regulatory science</li><li>Legal content writers or editors with policy-to-practice experience</li><li>Professionals seeking portfolio experience in AI + Law</li></ul>Why Join?<ul><li>Help shape the first regulatory-grade AI governance system (RAIMS&trade;)</li><li>Work with global AI standards and policy experts</li><li>Get credited on a real-world RAG system used by enterprises</li><li>Access potential long-term roles or consulting opportunities with the Orcawise vast ecosystem of employers and 30+ responsible Ai community.</li></ul>How to ApplySend us:<ul><li>A short note on why this excites you and confirmation that you can commit the time to this work experience program.</li><li>A very brief writing sample (legal explainer, article summary, or policy brief)</li></ul>Job Types: Part-time, TemporaryApplication Question(s):<ul><li>Can you commit the time for a 100-day volunteer work experience program?</li><li>Can you attend AI training sessions, team briefings and on-demand courses as part of this work experience program? </li><li>Are you fluent in English language? </li></ul>Education:<ul><li>Master's (Preferred)</li></ul>Language:<ul><li>English (Required)</li></ul>

Legal Fellows - Responsible AI

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