About the Company
Blue Sky Analytics is a Climate Tech startup building an API-based catalogue of Environmental Datasets by leveraging Satellite data, AI, and the cloud.
We are looking for a Project Manager for managing our engagement with Climate TRACE, a coalition founded by former United States VP Al Gore - YES, you read that right and YES you might get a chance to interact with him as part of this role.
Climate TRACE is a coalition created to make an open emissions inventory of the world’s first comprehensive accounting of greenhouse gas (GHG) based primarily on direct, independent observation. The vision of Climate TRACE is to make meaningful climate action faster and easier by mobilizing the global tech community to track greenhouse gas (GHG) emissions with unprecedented detail and speed. Climate TRACE members include (carbon)plan, Earthrise Media, Hudson Carbon, Hypervine, Johns Hopkins University Applied Physics Laboratory, OceanMinds, RMI, TransitionZero, WattTime and many more! You will be driving the partnership between Blue Sky Analytics and Climate TRACE!
Your Role
- Maintain and foster relationships with all members of Climate TRACE.
- Rapport building and harvest new business avenues.
- Represent Blue Sky Analytics in various events.
- Participate in campaigns or new initiatives to push forth Climate TRACE and Blue Sky’s mission and vision.
- Ensures adherence to legally binding requirements.
- Plan and lead meetings, which may include internal and external stakeholders.
- Make proposals with timelines and ensure that the team meets the deadlines.
- Identify key stakeholders ensuring the establishment and maintaining positive business relationships among stakeholders (internal or external)
- Maintain regular communication with the coalition members.
- Define activities, responsibilities, critical milestones, resources skills needs, interfaces, and budget. Optimize costs and time utilization minimize waste and deliver projects on time on budget as per the contract and agreed on the scope with a high-quality result.
- Anticipate all possible risks and manage them by applying a suitable risk management strategy; while developing contingency plans.
- Track and report project KPIs and analyze project health.
- Effective implementation of software delivery methodologies to improve project KPIs.
- Provide individual and team mentoring; ensuring high levels of team engagement and developing capabilities within the team.
- Adopt and build software engineering best practices that can be leveraged by other teams.
Requirements
- Excellent proven team management skills.
- Excellent written and oral communication skills.
- Solid organizational skills including attention to detail and multi-tasking skills.
- Minimum of 2-4 years experience in partnership and stakeholder management.
- Understanding the data ecosystem.
- Experience in strategy building will be a plus.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension-free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Blue Sky Analytics
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About PGAGI
At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.
Position Overview
We are seeking a motivated Research Intern to join our AI research team, focusing on Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) technologies. The intern will play a crucial role in evaluating our proprietary models against industry benchmarks, analyzing competitive voice agent platforms, and contributing to cutting-edge research in speech AI technologies.
Key Responsibilities:
Model Evaluation & Benchmarking
- Conduct comprehensive evaluation of our TTS and ASR models against existing state-of-the-art models
- Design and implement evaluation metrics and frameworks for speech quality assessment
- Perform comparative analysis of model performance across different datasets and use cases
- Generate detailed reports on model strengths, weaknesses, and improvement opportunities
Competitive Analysis
- Evaluate and compare our voice agent platform with existing solutions (Vapi, Bland AI, and other competitors)
- Analyze feature sets, performance metrics, and user experience across different voice agent platforms
- Conduct technical deep-dives into competitive architectures and methodologies
- Provide strategic recommendations based on competitive landscape analysis
Research & Innovation
- Monitor and analyze emerging trends in ASR, TTS, and voice AI technologies
- Research novel approaches to improve ASR and TTS model performance
- Investigate new architectures, training techniques, and optimization methods
- Stay current with academic literature and industry developments in speech AI
Model Development & Training
- Assist in training TTS and ASR models on various datasets
- Implement and experiment with different model architectures and configurations
- Perform model fine-tuning for specific use cases and domains
- Optimize models for different deployment scenarios (edge, cloud, real-time)
- Conduct data preprocessing and augmentation for training datasets
Documentation & Reporting
- Maintain detailed documentation of experiments, methodologies, and results
- Prepare technical reports and presentations for internal stakeholders
- Contribute to research publications and technical blog posts
- Create visualization and analysis tools for model performance tracking
Technical Competencies
- Strong analytical and problem-solving abilities
- Ability to design and conduct rigorous experiments
- Experience with statistical analysis and performance metrics
- Understanding of audio signal processing fundamentals
- Knowledge of distributed training and large-scale model development
Duration: 6 months
Compensation:
- Joining Bonus: INR 2,500 one-time bonus upon joining.
- Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
- Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
- Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.
What You'll Gain
Learning Opportunities
- Hands-on experience with state-of-the-art speech AI technologies
- Exposure to full model development lifecycle from research to deployment
- Mentorship from experienced AI researchers and engineers
- Opportunity to contribute to cutting-edge research projects
Professional Development
- Experience with industry-standard tools and methodologies
- Opportunity to present research findings to technical and business stakeholders
- Potential for research publication and conference presentations
- Networking opportunities within the AI research community
#AIResearch #Artificialintelligence #AIenthusiasts #Aiintern #Artificialintelligenceresearch #AIResearchIntern
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Mandatory (Experience 1) - Must have 1+ YOE hands-on UX Research / User Research for B2C Products
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Mandatory (Experience 3) - Must have worked on both qualitative and quantitative research methodologies
Mandatory (Portfolio) - Portfolio showcasing UX Research works for Good B2C Apps / Website / Product Companies
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- Familiar with Figma and Blender 3D (a bonus!).
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To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.
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Experience: 2+ Years
Location: Bangalore, India
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Headquartered out of Canada, we are a team of highly specialized domain experts and problem solvers
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To know more visit https://elocitytech.com/
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We are looking for a React / React Native senior developer interested in building performant mobile apps on
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* Build pixel-perfect, buttery smooth UIs across both mobile platforms.
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understanding of Design and Architecture Patterns
* Maintain code and write automated tests to ensure the product is of the highest quality.
* Familiarity with native build tools, like XCode, Gradle (Android Studio, IntelliJ).
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• Mentoring and supporting other team members by doing code reviews and applying your experience
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Evaluate and recommend Big Data technology stack best suited for NT AI at scale Platform
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Passionate for continuous learning, experimenting, applying and contributing towards
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Expert-level proficiency in Java and Scala.
Strong understanding and experience in distributed computing frameworks, particularly
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Good Knowledge of Design Patterns
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- Identifying opportunities for growth within existing e-commerce accounts, and developing new Marketplace customers
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- B.Tech / B.E. preferred
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Full Stack Developer - Averlon