Jobs at Amini

The type of work you will be doing:

• Strategic Goals Facilitating the strategic planning process, including road mapping and undertaking regular progress updates and reporting this to the CEO and Exec Team
• Projects Monitoring and enabling companywide projects, ensuring bottlenecks are removed, issues are brought to the CEO / COO’s attention at the appropriate time and working with colleagues to solve problems and keep everything moving and on track
• Brand Amplification : Preparing all materials for customer meetings, conferences and CEO’s presenting  commitments
• Business Development - Managing sales prospects on behalf of the CEO, helping to prepare for customer meetings,, attending meeting and ensuring all of the actions are captured and managing these actions with colleagues on behalf of the CEO. Identify and showcase successful customer use cases on social media
• Communication: Act as a bridge between the CEO and other team members, ensuring clear and effective communication. Prepare reports, presentations, and briefings for executive meetings
• Stakeholder Engagement: Build and maintain relationships with key stakeholders, including investors, partners, and clients. Represent the CEO when necessary and handle sensitive and confidential information with discretion
• Impact Planning : Develop and implement a comprehensive sustainability and ESG strategy that aligns with Amini's overall goals and objectives
• Comms & Branding :  Working with the CEO and Marketing to develop our overall brand strategy, ensuring it aligns with long-term business objectives and growth targets.  Define and communicate the brand’s core values, positioning, and unique selling proposition (USP) to ensure clarity and consistency
• Investors : Preparing investor update reports and help manage investor relations and helping to prepare for funding rounds

What you will need:

• A curious and low-ego person with a customer-centric mindset, eager to tackle unprecedented challenges and excited by our mission
• The ideal candidate is a pragmatic generalist focused on shipping features quickly and obsessed with understanding and meeting customer needs
• Agile and super flexible to thrive, the projects and your to do list will change Week-to-week, which is super exciting and fun
• Bachelor's degree in a related field (MBA or advanced degree preferred). and a track record of personal, academic and professional achievements
• Strong understanding of technology trends
• Resourceful problem solver with a can- do attitude
• Excellent communication and presentation abilities
• Highly organized and detail oriented
• Ability to work in a fast-paced, dynamic environment
• A proactive and adaptable mindset
• Discretion and the ability to handle confidential information
• Entrepreneurial mindset and can effectively work in an independent, structured and goal-oriented manner
• You have a high degree of comfort with analytics, numbers and the capability to draw decisions based on both intuition and data

go to method of application »

 The type of work you will be doing

• Process ground truth and satellite-derived data for model training and validation.
• Contribute to the training and development of geospatial machine learning models and analytics workflows.
• Evaluate machine learning and statistical models for desired performance metrics.
• Assess the quality and reliability of large-scale geospatial data products, such as land use/land cover (LULC) maps, weather, soil maps etc
• Work closely with cross-functional teams to integrate models & analytic workflows into production.
• Document and present technical findings to both technical and non-technical stakeholders.
• Contribute expert insights to reports, case studies, and customer-oriented documents.
• Assist in resolving customer-specific challenges related to geospatial data science.

What you will need 

• Bachelors Degree in a relevant field (STEM, Data Science,  Computer Science, Geospatial Science, Statistics, Environmental Studies IT, etc.) or a related field. (Or graduating within a year)
• Some experience in analyzing and interpreting large-scale geospatial data
• In-depth Knowledge of data visualization, advanced analytics methods, tools, and programming languages and Data Science.
• Familiarity with python and open-source geospatial libraries (e.g., GDAL/OGR, xarray, Geopandas, Shapely) and GIS tools like QGIS or ArcGIS
• Knowledge and some experience of ML framework (Pytorch or TF etc..) knowledge and experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs) - including techniques such as Retrieval-Augmented Generation (RAG) and Prompt Engineering - is highly desired.
• Familiarity with machine learning tools and frameworks like Scikit-learn, Pytorch, TensorFlow etc.
• Familiarity with cloud computing platforms (e.g., AWS, GCP) and Linux/Unix environments.
• Ability to work independently and collaboratively within a globally distributed team.
• Interest in New Technology, with critical thinking and a passion for cutting-edge data science algorithms,with a deep appreciation of the value and opportunities in predictive science and digital.
• Excellent Collaboration and Communication Skills across all levels of seniority and multiple geographies.
• Ability to Translate Complex Data into business-oriented value.
• Proactive and Autonomous work ethic, capable of regularly dealing with ambiguity, complexity, and uncertainty

go to method of application »

We are looking for a Geospatial Data Science Intern with expertise in data science and remote sensing. You will develop and deploy geospatial solutions across diverse environmental applications, including but not limited to agriculture, land use/land cover mapping, climate change monitoring, and natural resource management.

This internship will require you to leverage geospatial data science to tackle environmental challenges and facilitate data and AI-driven strategic decision-making.  You will be instrumental in generating insights through data management and analysis, you will play a key role in advancing our capabilities to address critical environmental challenges through innovative technology and developing statistical and AI/ML models based on current and historical data and enable scenario testing for predicted outcomes.

 The type of work you will be doing

• Process ground truth and satellite-derived data for model training and validation.
• Contribute to the training and development of geospatial machine learning models and analytics workflows.
• Evaluate machine learning and statistical models for desired performance metrics.
• Assess the quality and reliability of large-scale geospatial data products, such as land use/land cover (LULC) maps, weather, soil maps etc
• Work closely with cross-functional teams to integrate models & analytic workflows into production.
• Document and present technical findings to both technical and non-technical stakeholders.
• Contribute expert insights to reports, case studies, and customer-oriented documents.
• Assist in resolving customer-specific challenges related to geospatial data science.

What you will need 

• Bachelors Degree in a relevant field (STEM, Data Science,  Computer Science, Geospatial Science, Statistics, Environmental Studies IT, etc.) or a related field. (Or graduating within a year)
•  Hands-on experience in developing geospatial and machine learning models using satellite imagery.
• Some experience in analyzing and interpreting large-scale geospatial datas
• In-depth Knowledge of data visualization, advanced analytics methods, tools, and programming languages and Data Science.
• Familiarity with python and open-source geospatial libraries (e.g., GDAL/OGR, xarray, Geopandas, Shapely) and GIS tools like QGIS or ArcGIS
• Knowledge and some experience of ML framework (Pytorch or TF etc..) knowledge and experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs) - including techniques such as Retrieval-Augmented Generation (RAG) and Prompt Engineering - is highly desired.
• Familiarity with machine learning tools and frameworks like Scikit-learn, Pytorch, TensorFlow etc.
• Familiarity with cloud computing platforms (e.g., AWS, GCP) and Linux/Unix environments.
• Ability to work independently and collaboratively within a globally distributed team.
• Interest in New Technology, with critical thinking and a passion for cutting-edge data science algorithms,with a deep appreciation of the value and opportunities in predictive science and digital.
• Excellent Collaboration and Communication Skills across all levels of seniority and multiple geographies.
• Ability to Translate Complex Data into business-oriented value.
• Proactive and Autonomous work ethic, capable of regularly dealing with ambiguity, complexity, and uncertainty