Skylark Labs

Job Title: Business Development & Market Research Associate Location: Pune (In-Person) (100% WFO) Experience: 1–3 years Employment Type: Full-time Industry Focus: Real Estate, Oil & Gas, Mining, Software Solutions We are seeking a highly motivated and detail-oriented Business & Market Research Associate – Business Development to support our expansion across commercial sectors such as real estate, oil & gas, mining, and software solutions. This hybrid role combines business development with market and competitive research, ideal for someone early in their career who is eager to grow in both sales strategy and research-based decision-making. The ideal candidate is proactive, analytical, and capable of generating actionable insights while also supporting lead generation, partner management, and proposal development under the guidance of senior team members. Key Responsibilities: Conduct detailed market research and competitor analysis to identify trends, gaps, and opportunities for product and sales strategy Assist in sales research including pricing, positioning, and benchmarking across different markets Support partner management by identifying, onboarding, and maintaining effective communication with strategic partners Drive outreach initiatives to expand the business network and gather actionable insights Perform business research across sectors and compile actionable intelligence to support decision-making Create basic marketing content, presentations, and visual assets using tools like Canva and PowerPoint to support sales and outreach Maintain and update sales dashboards, reports, and performance trackers Collaborate with sales teams to support planning, pipeline building, and lead generation activities Stay updated on industry developments and help transform insights into strategic inputs Work closely with leadership to translate research into executable business and sales plans Support execution of monthly sales plans and assist in meeting individual and team targets Engage with prospective clients to understand their needs, present company solutions, and support proposal development Conduct outreach to generate leads in target industries and manage lead pipelines Maintain and update CRM records (e.g., HubSpot, Zoho) to support the full sales cycle from outreach to closure Prepare and submit regular sales and research reports to track progress against goals Build knowledge of target industries (real estate, oil & gas, mining, software) to better position the company’s offerings Requirements: Bachelor’s degree in Business, Marketing, Economics, or a related field 1–3 years of experience in business development, market research, sales, or client-facing roles—preferably in sectors such as real estate, oil & gas, mining, or software solutions Preferred Skills: Strong analytical and research skills Excellent communication and interpersonal abilities Basic content writing and visual design skills Familiarity with sales processes and CRM tools (e.g., HubSpot, Zoho, Excel) Proactive mindset and ability to work independently Proficiency in Microsoft Office Suite and tools like PowerPoint, Canva, and Excel Energetic, goal-oriented, and adaptable in a fast-paced environment Willingness to learn from senior team members and contribute to shared goals

📍 Location: Pune 🕒 Experience: 2+ years 📄 Employment Type: Full-Time About Skylark Labs At Skylark Labs, we pioneer embodied artificial intelligence that seamlessly integrates into every physical device, evolving toward true general intelligence. Our mission is to transform the world by creating adaptive AI systems that empower innovation, enhance safety, and redefine connectivity for a smarter, more sustainable future. We are building scalable AI-driven solutions to power next-generation visual intelligence systems. Join our team of passionate engineers and researchers to solve real-world computer vision problems across domains like robotics, smart cities, manufacturing, surveillance, and public safety - all while contributing to the future of embodied AI. Key Responsibilities Design, develop, and deploy robust computer vision models for object detection, classification, segmentation, pose estimation, tracking, and OCR tasks Handle end-to-end data management, including dataset curation, preprocessing, augmentation, and annotation for large-scale image and video data Implement optimization techniques such as model quantization, pruning, and knowledge distillation for efficient edge deployment Optimize model inference performance on both cloud and edge computing platforms Develop and fine-tune deep learning architectures using modern frameworks Integrate computer vision models into production pipelines and edge-based inference systems Collaborate with MLOps/DevOps and product teams to deploy CV solutions at scale Research and evaluate emerging techniques to continuously improve system accuracy and efficiency Required Skills 2+ years of hands-on experience in computer vision and deep learning development Proficiency in Python with computer vision libraries and data processing tools Strong expertise in deep learning frameworks for training custom models and leveraging pretrained architectures Experience with deployment and optimization on edge computing devices Familiarity with hardware acceleration and model optimization tools Understanding of classical computer vision techniques, including image processing fundamentals Experience in data pipeline management for vision applications Proficiency with version control systems and collaborative development workflows Basic experience working with video streams from cameras, drones, or embedded platforms Nice-to-Have Experience with model serving frameworks and inference optimization tools Familiarity with MLOps practices and CI/CD pipeline integration Knowledge of Vision-Language Models (VLMs) and multimodal AI systems for advanced visual understanding Knowledge of cloud AI services and edge computing platforms Experience with real-time object tracking algorithms Domain experience in smart surveillance, OCR, safety detection, or embedded CV applications

???? Location: Pune ???? Experience: 2+ years ???? Employment Type: Full-Time About Skylark Labs At Skylark Labs, we pioneer embodied artificial intelligence that seamlessly integrates into every physical device, evolving toward true general intelligence. Our mission is to transform the world by creating adaptive AI systems that empower innovation, enhance safety, and redefine connectivity for a smarter, more sustainable future. We are building scalable AI-driven solutions to power next-generation visual intelligence systems. Join our team of passionate engineers and researchers to solve real-world computer vision problems across domains like robotics, smart cities, manufacturing, surveillance, and public safety - all while contributing to the future of embodied AI. Key Responsibilities Design, develop, and deploy robust computer vision models for object detection, classification, segmentation, pose estimation, tracking, and OCR tasks Handle end-to-end data management, including dataset curation, preprocessing, augmentation, and annotation for large-scale image and video data Implement optimization techniques such as model quantization, pruning, and knowledge distillation for efficient edge deployment Optimize model inference performance on both cloud and edge computing platforms Develop and fine-tune deep learning architectures using modern frameworks Integrate computer vision models into production pipelines and edge-based inference systems Collaborate with MLOps/DevOps and product teams to deploy CV solutions at scale Research and evaluate emerging techniques to continuously improve system accuracy and efficiency Required Skills 2+ years of hands-on experience in computer vision and deep learning development Proficiency in Python with computer vision libraries and data processing tools Strong expertise in deep learning frameworks for training custom models and leveraging pretrained architectures Experience with deployment and optimization on edge computing devices Familiarity with hardware acceleration and model optimization tools Understanding of classical computer vision techniques, including image processing fundamentals Experience in data pipeline management for vision applications Proficiency with version control systems and collaborative development workflows Basic experience working with video streams from cameras, drones, or embedded platforms Nice-to-Have Experience with model serving frameworks and inference optimization tools Familiarity with MLOps practices and CI/CD pipeline integration Knowledge of Vision-Language Models (VLMs) and multimodal AI systems for advanced visual understanding Knowledge of cloud AI services and edge computing platforms Experience with real-time object tracking algorithms Domain experience in smart surveillance, OCR, safety detection, or embedded CV applications Show more Show less