Key Responsibilities: Develop creative social media campaigns aligned with marketing strategies. Design visually appealing graphics, creatives, carousels, and stories for platforms like Instagram, Facebook, LinkedIn, etc. Write engaging and brand-aligned content including captions, hashtags, and post copy. Plan and manage a content calendar across all platforms. Collaborate with clients and internal teams to understand brand tone and objectives. Analyze performance metrics (engagement, reach, CTR) and optimize content accordingly. Key Skills: Proficiency in design tools like Adobe Photoshop, Illustrator, Canva. Strong command of English – both written and verbal. Creativity with attention to detail and brand consistency. Social media platform knowledge (Instagram, Facebook, LinkedIn, Twitter, etc.). Basic understanding of social media analytics tools.
Immediate requirements for people having skills in SNAP, QGIS, Google Earth Pro, Google Earth Engine, and DSSAT. The work Location will be Pune (Maharashtra). We are looking for multi-skilled candidates for the position of Remote Sensing Trainee. For this position, the candidate needs to know about the vegetation indices (NDVI, NDRE, LSWI, GNDVI, FAPAR & VVVH) in remote sensing and those indices and polarization can be used for different types of applications. For example-: Crop loss assessment, Drought monitoring, flood zone detection, Crop Yield estimation. Responsibilities: · Crop Wise Sowing Area estimation, Crop loss assessment, Drought monitoring, flood zone detection, Crop Yield estimation. · Producing maps showing the spatial distribution of various agricultural crops and other features. · Performing data munging and cleaning to convert data into its desired form. · Managing a digital library of geographic maps in various file types. Educational Qualification: · Must be a graduate/post-graduate in Agriculture, Agriculture Engineering, Geography, or equivalent. · Post Graduate diploma/degree in Remote Sensing & GIS applications in agriculture.
Company Description Semantic Technologies & Agritech Services Private Limited is an innovative company providing advanced technology solutions in agriculture. We leverage real-time big data analysis, digital technology, GIS mapping, as well as satellite and drone imagery, remote sensing, and weather data to develop innovative products. Our solutions include crop health monitoring, crop yield estimation, end-to-end digital Crop Cutting Experiments (CCEs), smart sampling, and crop loss assessment. Our team consists of young and talented professionals in agriculture, remote sensing, GIS, agri-insurance, and IT, aiming to contribute to a better tomorrow. Role Description This is a full-time on-site role located in Pune for a Remote Sensing and Python Expert. The role involves daily tasks such as analyzing satellite and drone imagery, processing spatial data, developing and implementing remote sensing algorithms, and utilizing Python for data analysis. The expert will collaborate with the team to integrate remote sensing technologies into agritech solutions, ensuring data accuracy and providing actionable insights for stakeholders. Qualifications: 1-2 years of experience in Remote Sensing and GIS technologies Strong Python programming skills for data processing and analysis Experience with satellite and drone imagery analysis Knowledge of agricultural practices and crop monitoring techniques Ability to develop and implement remote sensing algorithms Excellent problem-solving and analytical skills Strong communication and teamwork abilities Relevant qualification in Remote Sensing, GIS, Computer Science, Agriculture, or related field Knowledge of image processing, spectral indices (NDVI, EVI, SAVI), SAR, and multispectral/hyperspectral data analysis. Hands-on experience in Remote Sensing and GIS using tools like QGIS, ArcGIS , and Google Earth Engine (GEE). Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost will be preferred .
Overview : Semantic Technologies and Agritech Services Pvt. Ltd. is a pioneering technology firm founded in 2014. Our core expertise lies in delivering state-of-the-art agricultural solutions empowered by cutting-edge technologies such as big data analysis, digital innovation, GIS Mapping, Satellite/Drone Imagery, and Weather Data integration. We are currently seeking a highly experienced and versatile Senior Remote Sensing Expert with a strong agricultural background to lead our remote sensing efforts within our dynamic team. Key Responsibilities: 1. Utilize satellite imagery and advanced AI/ML algorithms for crop mapping, area estimation, crop loss assessment, drought monitoring, flood zone detection, and crop yield estimation, with resolutions ranging from 1 to 30 meters. 2. Generate maps illustrating the spatial distribution of various agricultural crops and associated features. 3. Conduct data munging and cleaning procedures to refine and prepare datasets for analysis and mapping. 4. Curate and manage a digital repository of geographic maps encompassing diverse file formats. 5. Execute SAR (Synthetic Aperture Radar) data processing and grasp its applications within the agricultural domain. 6. Perform statistical analysis processes to enhance data interpretation and accuracy assessment. Required Skills & Experience : ∙ Extensive experience of 10 to 15 years in remote sensing applications within the agricultural sector. ∙ Proficiency in software tools such as Arc GIS SNAP, Google Earth Pro, Google Earth Engine, R Studio, Python, and QGIS. ∙ Comprehensive understanding of vegetation indices in remote sensing, including NDVI, NDRE, LSWI, and GNDVI. ∙ Familiarity with SAR data processing methodologies and its relevance in agricultural applications. ∙ Strong analytical skills and ability to interpret remote sensing data effectively. ∙ Excellent communication and presentation skills. Educational Qualifications : ∙ A bachelor's or master's degree in Agriculture, Agricultural Engineering, Geography, or a related field. ∙ Post-graduate diploma or degree focused on Remote Sensing & GIS applications in agriculture. ∙ PhD in Agriculture remote sensing or relevant subject is preferred.