Community Manager Intern

Job Title: Photoshop Specialist

Company: Suntek.ai

Location: Remote

Experience: Minimum 6 months

Employment Type: Full-Time

Job Description:

We are looking for a creative and detail-oriented Photoshop specialist to join our dynamic team. The ideal candidate will have strong hands-on experience with Adobe Photoshop and a keen eye for design, precision, and aesthetics. You will work closely with our content, marketing, and AI training teams to create and enhance visual assets that align with Suntek.ai's brand and project goals.

Key Responsibilities:

Edit, retouch, and manipulate images for various internal and client projects.

Create high-quality visual assets, including banners, social media creatives, web graphics, and marketing material.

Collaborate with designers, marketers, and project managers to meet design requirements and timelines.

Ensure image consistency, color accuracy, and quality across all platforms.

Follow brand guidelines and design standards while offering creative input for improvements.

Maintain organized file structures and proper asset versioning.

Requirements:

Minimum 6 months of hands-on experience in Adobe Photoshop.

Solid understanding of image editing, masking, retouching, and manipulation.

Strong attention to detail and ability to spot visual inconsistencies

The candidate should possess the ability to work under tight deadlines and manage multiple tasks simultaneously.

Knowledge of other Adobe Creative Suite tools (Illustrator, Lightroom) is a plus.

Basic understanding of AI datasets or experience working in AI-related industries is an added advantage.

Business Development Representatives (BDRs) are focused on generating and qualifying leads through LinkedIn and other channels. Their main goal is to use these platforms to create connections with potential clients and identify opportunities for the sales team.

Roles and Responsibilities:

1. Lead Identification: Utilizing LinkedIn (especially tools like LinkedIn Sales Navigator) to identify and connect with potential leads that match the target profile.

2. Initial Outreach: Engaging with leads through personalized LinkedIn messages,

comments, InMails, calling, and sending emails, creating interest in the

company's products or services.

3. Qualifying Leads: Assessing the needs and interest levels of the leads, determining if they are a fit for what the company is offering.

4. Scheduling Appointments: Setting up meetings or calls between qualified leads and the sales team, ensuring a smooth handover.

5. Collaboration with Sales and Marketing: Working closely with the Sales Manager and marketing team to align outreach efforts with overall campaign strategy.

6. Monitoring and Reporting: Tracking interactions, responses, and success rates within LinkedIn and reporting these metrics to the Sales Manager.

7. Maintaining Professionalism: Representing the brand in a professional manner, adhering to LinkedIn's guidelines, and maintaining the quality of interactions.

8. Content Engagement: Sharing, liking, and commenting on relevant content to increase visibility and engage with the community within the target market.

9. Utilizing Supporting Tools: If using additional tools like CRM or other integrations, maintaining accurate records and ensuring data integrity.

Skills Required:

• Proficiency in using LinkedIn, especially LinkedIn Sales Navigator.
• Excellent communication and interpersonal skills, including phone and email etiquette.
• Ability to analyze profiles and identify potential leads.
• Self-motivated and goal-oriented approach.
• Understanding of the company’s products or services.

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

                                               Sr. Data Engineer

Company Profile:

Bigfoot Retail Solutions [Shiprocket] is a logistics platform which connects Indian eCommerce SMBs with logistics players to enable end to end solutions.

Our innovative data backed platform drives logistics efficiency, helps reduce cost, increases sales throughput by reducing RTO and improves post order customer engagement and experience.

Our vision is to power all logistics for the direct commerce market in India

including first mile, linehaul, last mile, warehousing, cross border and O2O.

Position: Sr.Data Engineer

Team : Business Intelligence

Location: New Delhi

Job Description:

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key Responsibilities:

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs