Dartificial is a fast-growing start-up, working on exciting new technologies, such as ML (Machine Learning) and AI (Artificial Intelligence).
We are constantly hiring across the fields of data science, machine learning, computer vision,project management, product management, crop quality analysis, business development and operations.
Sounds relevant and exciting? Please email your resume to
hiring@dartifical.comSales
Solution Engineer Presales AI /Machine Learning.
Remote
Also known as a " Pre -Sales Engineer" or "Sales Consultant," the Solution Engineer is responsible for presenting product offerings and architecture in the best light to prospects and customers, to evoke confidence in company’s technology infrastructure, and to remove all technical objections in the sales cycle. To accomplish this, the Solution Engineer must have a strong desire to leverage their technical and/or sales skills, including the ability to solicit business requirements, develop a technical sales strategy, configure and effectively demonstrate the solutions that address these requirements and provide business value.
The Solution Engineer is responsible for presenting our Service and Support product offerings to prospects and customers based on a customer's specific business requirements. The primary goal of our team is to use our customer service expertise to become trusted advisors and highlight how our products can solve their customer service challenges and how our products will provide a return on their investment.
You'll be expected to analyze the service needs and requirements through deep discovery, use your service experience to recommend a solution, discuss industry best practices to improve their business processes, and ultimately make the customer confident that a partnership with Diversity is right for their business.
Evangelize AI and Machine Learning value to customers (including C- level execs and IT) and field teams Assess business and operations impacted by technology Deliver findings including key pain points, proposed solutions to meet business needs, and ROI where applicable.
Contribute to development of technical sales strategy Configure and demonstrate visionary solutions in a way that closely reflects each customer's business (tailored demonstrations) Discuss and propose solution architecture and execute enablement activities (Webinars, Best Practices, Knowledge Share, etc.)
Collaborate with Solution Engineering teams, Services AI, Account Executives, and Product Management to deliver the appropriate solution and establish credibility and trust with the customer.
Minimum 3 years of experience with Presales in AI &ML across products and service Industry. Bachelor’s degree in a STEM field, Computer Science, Software Engineering in Artificial Intelligence, Data Science, Predictive Analytics or equivalent work experience with interest in both technical and customer-facing roles Demonstrate initiative, independent thinking, collaboration and the value of teamwork to partner with colleagues across the organisation;
Data Analyst / Business Analyst
Headquartered in France, with presence in India and Netherland
Remote/ France
our teams bring deep expertise in Algorithms, Data Engineering, Application Development and Business Understanding that allow us to design, build and implement solutions that deliver value for our clients. We are looking at individuals, with a passion for data, algorithms, technology and business - keen to shape their careers as experts in this industry. You will be a part of an exciting, fast paced journey to build a global institution!
Appreciate business context and translate business problems into analytics problems
Manage large volumes of structured and unstructured data, extract & create features using Data
Engineering, NLP, Computer Vision algorithms
Analyse data using various statistics, machine learning, optimization techniques
Develop visualizations to communicate insights and make actionable recommendations
Deploy solutions through web or mobile applications and API integrations with source systems
Has passion for numbers and is excited about solving business challenges using data, algorithms and technology
Strong foundation (through projects / course work / hackathons / internships / MOOC) in either data engineering, algorithms (Statistics, ML, Optimization, NLP, Computer Vision etc.) or application development with good conceptual understanding of their applications.
Strong foundation (through projects / course work / hackathons / internships / MOOC) in either data engineering, algorithms (Statistics, ML, Optimization, NLP, Computer Vision etc.) or application development with good conceptual understanding of their applications
Digital Marketing Executive
Remote
The Digital Marketing Executive is the key person in charge of executing the company’s digital marketing campaigns. He/she is involved throughout the campaign ideation, planning, implementation, measurement, and optimization process. It is therefore essential that he/she has hands-on experience using various digital marketing platforms.
The Digital Marketing Executive works closely with the cross functional teams to achieve specific company objectives set by the Head of Marketing such as; increasing digital sales, lead generation, brand engagement, and conversions.
Assist the team in the development of the overall digital marketing strategy
Implement digital marketing activities across a broad range of digital marketing channels (SEO, SEM, Social Media, Email, Mobile, Display)
Manage and maintain the company’s owned media including websites, mobile apps, and email/CRM software
Manage the creation of relevant and engaging digital content for publishing onto various digital platforms
Manage social media marketing campaigns
Manage digital advertising campaigns (SEM, Display, Social, Programmatic)
Manage SEO campaigns
Set up conversion, pixel, and event tracking on the website and across various digital platforms
Conduct research on market trends, brand’s audiences and competitors, and end-to-end consumer journey to drive engagements and conversions
Analyze digital marketing analytics reports and share insights with the team to develop optimization plans
Stay abreast of emerging digital tools and platforms, digital marketing trends, new technologies, and share insights with the rest of the team
We are looking for candidates that possess at least a diploma or professional certification in either Marketing, Digital Marketing, Public Relations or Mass Communication from an accredited institution.
Good to have experience in coding, website development, paid advertising and blog writing skills. Having a portfolio and a proven track record of successfully executed digital marketing campaigns greatly increases the probability of being hired. Requires 1 – 3 years of experience.
Demonstrate initiative, independent thinking, collaboration and the value of teamwork to partner with colleagues across the organisation;
Data Scientist job description
Remote
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions
Undertaking data collection, pre-processing and analysis
Building models to address business problems
Presenting information using data visualization techniques
Identify valuable data sources and automate collection processes
Undertake pre-processing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Demonstrate initiative, independent thinking, collaboration and the value of teamwork to partner with colleagues across the organisation;
Proven experience as a Data Scientist or Data Analyst
Experience in data mining
Understanding of machine-learning and operations research
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
