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- Working closely with the client (typically Marketing / Communication heads) to understand their needs, company goals, vision, and prepare a high-level strategy spanning multiple platforms and types of content.
- Breaking down the client’s requirements in the form of a more granular content calendar
- Coordinating with designers, videographers, and other stakeholders to ensure overall smooth project flow and client satisfaction
- Doing primary or secondary research, as and when required, depending on the context
- Ensuring that the client receives error-free content and copy that is free of plagiarism
- Repurposing existing content into buckets that can be reposted on different platforms
- Brainstorm (along with the Account Manager) about how to drive traffic to the existing content and to improve overall KPIs for the client
- Diligent tracking and analytics of what's working and what's not working, and how to optimiz content for the next cycle
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Job description
Overview
The infrastructure for regulation-compliant AI. Train and deploy generative AI for the large enterprise.It is the most private solution for enterprise AI. Achieve best-in-class and compliant AI at the fraction of the time and cost. It is an enterprise AI platform that provides state-of-the-art and regulatory-compliant AI for a fraction of the cost. It simplifies model training across privacy-critical datasets using Federated Learning and Differential Privacy.
Ø Roles & Responsibilities:-
Proven experience as a DevOps Engineer or similar role, with a strong focus on AWS, Docker, and orchestration.
- In-depth knowledge of AWS services and infrastructure, including EC2, VPC, RDS, S3, IAM, and CloudWatch.
- Expertise in containerization technologies like Docker and container orchestration platforms such as AWS ECS or Kubernetes.
- Experience with infrastructure-as-code (IaC) tools like AWS CloudFormation or Terraform or AWS CDK.
- Strong scripting skills (e.g., Bash, Python) and proficiency in automating infrastructure provisioning and deployment processes.
- Familiarity with monitoring and logging tools such as AWS CloudWatch, ELK stack, or Prometheus.
- Knowledge of CI/CD practices and tools like Jenkins, Github Actions CI/CD, or AWS CodePipeline.
- Solid understanding of networking concepts, security best practices, and troubleshooting methodologies in a cloud environment.
- Ability to setup our on-prem software in a customer's cloud environment
Location-remote/bangalore
P.S-Only IIT madras, IIT Bombay, IIIT Hyderabad, atlassian,google,slack,zoom,e-commerce,internet & product based startup companies
Must have:
- 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
- Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
- Good understanding of Generics, OOPs concepts & Design Patterns
- Solid engineering and coding skills. Ability to write high-performance production quality code in Python
- Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
- Strong expertise in time series forecasting using stat, ML, DL and foundation models
- Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
- Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
- Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
- Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Good To Have:
- Experience with MLOps tools and practices for continuous integration and deployment of ML models.
- Has familiarity with deploying applications on Kubernetes
- Knowledge of supply chain management principles and challenges.
- A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred
We are seeking a developer responsible for building games for various target platforms based on the Unity framework. Your primary responsibilities will be to implement game functionality translating design ideas, concepts, and requirements into a functional and engaging game. A commitment to collaborative problem solving, sophisticated design, and a quality product are essential.
Job Responsibility:
- Implement game functionality as per communicated design
- Translate design specification into functional game
- Communicate with other team members to establish effective pipeline and integrate media assets
- Design, build, and maintain efficient, reusable, and reliable code
- Ensure the best possible performance, quality, and responsiveness of applications
- Identify bottlenecks and bugs, and device solutions to address and mitigate these problems
- Help maintain code quality, organization, and automatization.
Required Skills & Qualification:
- Candidate must have 2D & 3D both experience
- Candidate must have ads integration, in-app, Firebase & Play services integration experience
- Candidate must have server-client communication experience
- Candidate must have 3D characters integration experience
- Candidate must be part of 3 games which are live on Google Play OR Apple Store.
What you will do:
- Creating and maintaining digital assets, such as interface design files, wireframes, and interactive mockups using design and prototyping tools: e.g., Sketch and InVision
- Designing, building and maintaining highly reusable JavaScript, HTML and CSS code
- Understanding the limitations of our tech stack and business model and providing technical advice wherever necessary
- Coordinating the workflow between the UI/UX designs, HTML, CSS and backend application logic
- Cooperating with the back-end developer in the process of building the RESTful API
Desired Candidate Profile
What you need to have:- Confidence in working with HTML5/CSS3, JQuery, Ajax, Bootstrap, responsive design
- Expert knowledge of HTML5 and its best practices
- Proficiency in designing interfaces and building clickable prototypes using Sketch, InVision, Axure, etc.
- Knowledge of Git version control
- Knowledge of the command line
- 2+ years experience as a front-end developer
- 1+ year experience as a UI/UX designer
Requirements:
- Overall 3 to 5 years of experience in designing and implementing complex large scale Software.
- Good in Python is must.
- Experience in Apache Spark, Scala, Java and Delta Lake
- Experience in designing and implementing templated ETL/ELT data pipelines
- Expert level experience in Data Pipeline Orchestrationusing Apache Airflow for large scale production deployment
- Experience in visualizing data from various tasks in the data pipeline using Apache Zeppelin/Plotly or any other visualization library.
- Log management and log monitoring using ELK/Grafana
- Git Hub Integration
Technology Stack: Apache Spark, Apache Airflow, Python, AWS, EC2, S3, Kubernetes, ELK, Grafana , Apache Arrow, Java
- Responsible for client engagement & Manage the requirements
- Communicate with clients to identify their requirements and choice of property
- Coordinate the builder to arrange for the site visit and share the necessary information to clients
- Visit the connected properties and identify the USPs to pitch better to clients
- Manage the feedback from the client
- Understand the real estate market & comparison of the product
- Maintain good business relationship with client and builder
- Participate in seminars, conferences, and events to enhance the market & expand the business network
- Work with the team to share the responsibilities and work towards achieving team’s targets
Community Management-
- Create a friendly environment to facilitate high member satisfaction
- Be thoughtful while interacting with members.
- Plan and launch community initiatives to create connections between members of different organizations. This might include targeted member introductions, recommending possible mentor matches, running networking events and managing communications within the space and through digital vehicles.
- Seek out information about the business and personal objectives of tenant organizations and their individual members.
- Foster a sense of inclusivity where fresh ideas are welcome
- Be knowledgeable about COWERKZ's membership contracts and guidelines.Explain these policies to members, as necessary.
- Oversee new member onboarding and member moves out of the space
Events Planning and Execution-
- Build a quarterly calendar of coworking events that engages all stakeholders:
- Current members: Educational (e.g., lunch and learns) and appreciation events (e.g., happy hours and themed parties)
- Future members: Lead generation and sales-related events
- Local community: Identify outside organizers and encourage them to use our event space. Depending on the exact nature, these events should also be used to build COWERKZ's CRM and digital community.
- Manage to the allotted budget
- Present our community professionally
- With your team, oversee the event itself, from catering to a smooth event check-in process to cleanup
Business Development-
- With the owners, be responsible for setting and achieving sales objectives, occupancy rates and pricing
- Conduct tours for prospective members
- Contact the local press and community leaders to generate interest in COWERKZ.
- Maintain a positive relationship with key vendors and our landlord
Facilities and Space Management-
- Manage all centre operations to the satisfaction of members
- Maximize up-time and availability of key facilities assets like the Wifi network, kitchen, printers/copiers
- Keep members aware of facilities issues that may impact them
- Utilize a variety of coworking software applications manage the space and membership
- Make recommendations to the owners about new features or perks that will entice members
- Submit maintenance tickets for repairs to the facility and key equipment
- Ensure cleaning is conducted to spec
Data accuracy-
- Ensuring member data is updated and is current in the cowork platform
- Ensuring lead data is updated in the CRM platform
- Ensuring Community Data is being updated in the events database
Experience and Requirements
- 2 years experience with increasing responsibility in either a sales or customer service role
- Experience in co -curricular activities a plus.
- Demonstrated project management skills
- Technically capable. Able to understand and work with the variety of hardware and software applications that our space depends on.
- Experience with written content generation in a business environment and basic graphic design skills are a plus
- Interest in working independently with only occasional interactions with the owners
- Fluent in English. Ability to speak additional language is a plus.
- A high level ethics, empathy and dependability
Qualifications
- Bachelor's degree or equivalent
Role and Responsibilities
- Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality
- Build robust RESTful APIs that serve data and insights to DataWeave and other products
- Design user interaction workflows on our products and integrating them with data APIs
- Help stabilize and scale our existing systems. Help design the next generation systems.
- Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
- Work closely with the Head of Products and UX designers to understand the product vision and design philosophy
- Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope.
Skills and Requirements
- 8- 15 years of experience building and scaling APIs and web applications.
- Experience building and managing large scale data/analytics systems.
- Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices.
- Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python.
- Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic.
- Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc.
- Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies.
- Working knowledge linux server administration as well as the AWS ecosystem is desirable.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.