
About the job
As a Community Manager Intern at PedalStart, you will play a crucial role in building and nurturing our community . You will work closely with our marketing and social media teams to develop and execute strategies for community engagement, brand advocacy, and user retention.
Responsibilities:
- Monitor and engage with our community across various online platforms, including social media channels, forums, and community forums.
- Respond to comments, messages, and inquiries from community members in a timely and professional manner, fostering positive interactions and building relationships.
- Create and curate engaging content to share with our community, including blog posts, articles, videos, and social media posts.
- Organize and facilitate online events, such as webinars, Q&A sessions, and virtual meetups, to connect with our community and provide value-added experiences.
- Identify and cultivate brand advocates and influencers within our community, encouraging them to share their experiences and promote our brand.
- Collaborate with cross-functional teams to gather feedback from the community and communicate insights and trends to inform product development, marketing strategies, and customer support efforts.
Requirements:
- Currently enrolled in a Bachelor's or Master's degree program in Marketing, Communications, Business Administration, or a related field.
- Strong written and verbal communication skills, with the ability to communicate effectively with diverse audiences.
- Passion for building and engaging with online communities, with a deep understanding of social media platforms and online community dynamics.
- Creative thinking and problem-solving skills, with the ability to generate innovative ideas to drive community engagement and growth.
- Excellent organizational skills and attention to detail, with the ability to manage multiple tasks and priorities in a fast-paced environment.
- Positive attitude, willingness to learn, and eagerness to contribute to a collaborative team environment.
Duration
This is a 6-month internship position, with the possibility of extension based on performance and company needs.
Work Arrangement:
The internship is 6 Days working onsite in in our office in Bengaluru, Karnataka
How to Apply:
Interested candidates should submit their resume to the link-
https://forms.gle/sYjDbLAP8Yif9Kpx5
We look forward to reviewing your application and discussing how you can contribute to our team!
Location: HSR Layout, Bengaluru, Karnataka

About PedalStart
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JOB DESCRIPTION/PREFERRED QUALIFICATIONS:
KEY RESPONSIBILITIES:
- Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success.
- Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale.
- Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions.
- Optimize algorithm performance and resource utilization to meet business objectives.
- Stay up to date with the latest advancements in algorithm engineering and infrastructure technologies and apply them to improve our systems.
- Drive continuous improvement in development processes, tools, and methodologies.
QUALIFICATIONS:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience in developing computer vision and image processing algorithms and ML/DL algorithms.
- Familiar with high performance computing, parallel programming and distributed systems.
- Strong leadership and team management skills, with a track record of successfully leading engineering teams.
- Proficiency in programming languages such as Python, C++ and CUDA.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
PREFERRED QUALIFICATIONS:
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with GPU architecture and algo development toolkits like Docker, Apptainer.
MINIMUM QUALIFICATIONS:
- Bachelor's degree plus 8 + years of experience
- Master's degree plus 8 + years of experience
- Familiar with high performance computing, parallel programming and distributed systems.
MUST-HAVE SKILLS:
- Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.Tech + 10 yrs experience.
- 14 yrs exp if an IC role.
- Minimum 1 yrs experience working as a Manager/Lead
- 8 years' experience in any of the programming languages such as Python/C++/CUDA.
- 8 years' experience in Machine learning, Artificial intelligence, Deep learning.
- 2 to 3 years exp in Image processing & Computer vision is a MUST
- Product / Semi-conductor / Hardware Manufacturing company experience is a MUST. Candidates should be from engineering product companies
- Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT) (Preferred)
- Relocation to Chennai is mandatory
NICE TO HAVE SKILLS:
- Candidates from Semicon or manufacturing companies
- Candidates with more than 8 CPGA
What You will do:
● Play the role of Data Analyst / ML Engineer
● Collection, cleanup, exploration and visualization of data
● Perform statistical analysis on data and build ML models
● Implement ML models using some of the popular ML algorithms
● Use Excel to perform analytics on large amounts of data
● Understand, model and build to bring actionable business intelligence out of data that is available in different formats
● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations
Basic Qualifications:
● Experience: 4+ years.
● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.
● Experience in working with excel for data analytics
● Experience with statistical modelling of large data sets
● Experience with ML models and ML algorithms
● Coding experience in Python
Nice to have Qualifications:
● Experience with wide variety of tools used in ML
● Experience with Deep learning
Benefits:
● Competitive salary.
● Hybrid work model.
● Learning and gaining experience rapidly.
● Reimbursement for basic working set up at home.
● Insurance (including a top up insurance for COVID
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