Senior Paid Media Executive

Role Proficiency:

Leverage expertise in a technology area (e.g. Java Microsoft technologies or Mainframe/legacy) to design system architecture.

Knowledge Examples:

• Domain/ Industry Knowledge: Basic knowledge of standard business processes within the relevant industry vertical and customer business domain

1. Technology Knowledge: Demonstrates working knowledge of more than one technology area related to own area of work (e.g. Java/JEE 5+ Microsoft technologies or Mainframe/legacy) customer technology landscape multiple frameworks (Struts JSF Hibernate etc.) within one technology area and their applicability. Consider low level details such as data structures algorithms APIs and libraries and best practices for one technology stack configuration parameters for successful deployment and configuration parameters for high performance within one technology stack
2. Technology Trends: Demonstrates working knowledge of technology trends related to one technology stack and awareness of technology trends related to least two technologies
3. Architecture Concepts and Principles: Demonstrates working knowledge of standard architectural principles models patterns (e.g. SOA N-Tier EDA etc.) and perspective (e.g. TOGAF Zachman etc.) integration architecture including input and output components existing integration methodologies and topologies source and external system non functional requirements data architecture deployment architecture architecture governance
4. Design Patterns Tools and Principles: Applies specialized knowledge of design patterns design principles practices and design tools. Knowledge of documentation of design using tolls like EA
5. Software Development Process Tools & Techniques: Demonstrates thorough knowledge of end-to-end SDLC process (Agile and Traditional) SDLC methodology programming principles tools best practices (refactoring code code package etc.)
6. Project Management Tools and Techniques: Demonstrates working knowledge of project management process (such as project scoping requirements management change management risk management quality assurance disaster management etc.) tools (MS Excel MPP client specific time sheets capacity planning tools etc.)
7. Project Management: Demonstrates working knowledge of project governance framework RACI matrix and basic knowledge of project metrics like utilization onsite to offshore ratio span of control fresher ratio SLAs and quality metrics
8. Estimation and Resource Planning: Working knowledge of estimation and resource planning techniques (e.g. TCP estimation model) company specific estimation templates
9. Working knowledge of industry knowledge management tools (such as portals wiki) company and customer knowledge management tools techniques (such as workshops classroom training self-study application walkthrough and reverse KT)
10. Technical Standards Documentation & Templates: Demonstrates working knowledge of various document templates and standards (such as business blueprint design documents and test specifications)
11. Requirement Gathering and Analysis: Demonstrates working knowledge of requirements gathering for ( non functional) requirements analysis for functional and non functional requirement analysis tools (such as functional flow diagrams activity diagrams blueprint storyboard) techniques (business analysis process mapping etc.) and requirements management tools (e.g.MS Excel) and basic knowledge of functional requirements gathering. Specifically identify Architectural concerns and to document them as part of IT requirements including NFRs
12. Solution Structuring: Demonstrates working knowledge of service offering and products

Additional Comments:

Looking for a Senior Java Architect with 12+ years of experience. Key responsibilities include:

• Excellent technical background and end to end architecture to design and implement scalable maintainable and high performing systems integrating front end technologies with back-end services.

• Collaborate with front-end teams to architect React -based user interfaces that are robust, responsive and aligned with overall technical architecture.

• Expertise in cloud-based applications on Azure, leveraging key Azure services.

• Lead the adoption of DevOps practices, including CI/CD pipelines, automation, monitoring and logging to ensure reliable and efficient deployment cycles.

• Provide technical leadership to development teams, guiding them in building solutions that adhere to best practices, industry standards and customer requirements.

• Conduct code reviews to maintain high quality code and collaborate with team to ensure code is optimized for performance, scalability and security.

• Collaborate with stakeholders to defined requirements and deliver technical solutions aligned with business goals.

• Excellent communication skills

• Mentor team members providing guidance on technical challenges and helping them grow their skill set.

• Good to have experience in GCP and retail domain.

Skills: Devops, Azure, Java

Must-Haves

Java (12+ years), React, Azure, DevOps, Cloud Architecture

Strong Java architecture and design experience.

Expertise in Azure cloud services.

Hands-on experience with React and front-end integration.

Proven track record in DevOps practices (CI/CD, automation).

Notice period - 0 to 15days only

Location: Hyderabad, Chennai, Kochi, Bangalore, Trivandrum

Excellent communication and leadership skills.

Marketing Assistant @Knacklabs

Hyderabad | Full-time | 0-1 years

You don't need an AI degree. You need to be obsessed.

We build AI agents that run inside enterprises the kind that actually work, not the kind that demo well and break in production.

GraphRAG, Voice Agents, autonomous workflows. The real stuff.

Now we need someone to tell that story.

The Role: You'll be our first marketing hire.

No "assist the senior marketing manager" energy there is no senior marketing manager. It's you, a Canva account, ChatGPT, and a mandate to make KnackLabs impossible to ignore.

What you'll actually do:

• Run meetups & events organize AI/tech community events in Hyderabad. Real humans, real conversations, real brand.

• Own LinkedIn outreach craft lead messages that don't read like spam. Build campaigns that open doors to enterprise decision-makers.

• Create content that educates LinkedIn posts, Instagram reels, carousels. Not "AI is transforming the world" fluff. Actual insight. Stuff engineers respect.

• Build our brand from zero to "oh yeah, the AI agents company." That's the job.

Who you are:

• Fresh out of college (or close). No experience required. Hunger required.

• You live on social media and understand what makes people stop scrolling

• You write "people actually read it" well, not just "good grammar" well

• You already use AI tools daily ChatGPT, Claude, Midjourney, whatever. If you haven't touched them, this isn't the role

• You're not waiting for instructions. You're three ideas ahead

You'll love this if:

• You notice good branding instantly

• You want to work close to real AI builders, not just post recycled trends • You want your first job to actually be interesting

Why this is a cheat code:

Most freshers learn about AI from courses.

You'll learn it by marketing it sitting with engineers building agents, attending enterprise demos, writing about tech that's 18 months ahead of the market.

✨ Join us to build, break, and innovate AI systems that redefine what’s possible.

Key Responsibilities

• Design and develop facade concepts, details, and technical drawings.
• Collaborate with architects, engineers, and contractors to ensure design integration.
• Prepare 2D/3D models, renderings, and specifications for facade systems.
• Research and recommend materials, finishes, and sustainable technologies.
• Review shop drawings, prototypes, and mock-ups for compliance with design intent.
• Provide technical support during tendering, procurement, and construction phases.

 Skills & Competencies

• Proficiency in AutoCAD, Revit.
• Strong knowledge of facade materials (glass, aluminum, stone, composites).
• Understanding of building physics and envelope performance.

We are seeking an experienced Data Scientist to join our data-driven team. As a Data Scientist, you will work with large datasets, apply advanced analytics techniques, and build machine learning models to provide actionable insights that drive business decisions. You will collaborate with various teams to translate complex data into clear recommendations and innovative solutions.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategy.
• Develop, implement, and maintain machine learning models and algorithms to solve complex problems.
• Work closely with stakeholders to understand business objectives and translate them into data science tasks.
• Preprocess, clean, and organize raw data from various sources for analysis.
• Conduct statistical analysis and build predictive models to support data-driven decision-making.
• Create data visualizations and reports to communicate findings clearly and effectively to both technical and non-technical teams.
• Design experiments and A/B testing to evaluate business initiatives.
• Ensure the scalability and performance of data pipelines and machine learning models.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Continuously stay updated with the latest developments in data science, machine learning, and analytics technologies.

• 2+ years of Affiliate/Influencer/Partnership marketing experience in SaaS with at least 1 years focus on building and managing successful Affiliate/Influencer/ Partnership Marketing programs
• Full proficiency in working with known Affiliate Networks
• Strong experience with link tracking, conversion pixels/tags, sales validation, Google Analytics, and digital marketing attribution concepts
• Analytical mindset with a passion for data-based decision making with a strong test-and-learn mindset
• Passion for following rapidly evolving trends and determining new possible social marketing techniques to drive business 
• Full proficiency in English. Written and spoken 
• Familiarity with Indian B2B business.      

Must have:

• Knowledge on design, development and deployment of applications based on CMS and Dot Net technology framework
• Strong Analytical, Logical Reasoning and Problem-Solving skills
• Strong in SDLC concepts, RDBMS concepts and SQL/PL-SQL, Data Structures
• Ability to effectively work with a highly technical and virtually located team

Good to have:

• Considerable knowledge in the following: Drupal, .NET MVC, PHP, CSS, Angular, jQuery, Microsoft SQL Server, MySQL, DevOps, Agile software development 
• Exposure to mobile application development using any one of the mobile development platforms (iOS, Android, Windows)

Soft skills:

• Ability to co-ordinate among various user groups and internally within the team. This is a critical skill
• Excellent communication skills, both written and oral
• Ability to multi-task and prioritize
• Deliver on commitments
• Self-Starter and willing to learn many new skills on the job
• Willing to work flexible hours as the job demands
• Excellent trouble shooting skills
• Ability to think through various business issues and come up with solid design solutions that will stand the test of time
• Good listening and influencing skills; a strong customer focus is a must

• Required to work individually or as part of a team on data science projects and work closely with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions.
• Build quick prototypes to check feasibility and value to the business.
• Design, training, and deploying neural networks for computer vision and machine learning-related problems.
• Perform various complex activities related to statistical/machine learning.
• Coordinate with business teams to provide analytical support for developing, evaluating, implementing, monitoring, and executing models.
• Collaborate with technology teams to deploy the models to production.

Key Criteria:

• 2+ years of experience in solving complex business problems using machine learning.
• Understanding and modeling experience in supervised, unsupervised, and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required.
• Experience in Computer Vision/Image Processing/Pattern Recognition, Machine Learning, Deep Learning, or Artificial Intelligence.
• Understanding of Deep Learning Architectures like InceptionNet, VGGNet, FaceNet, YOLO, SSD, RCNN, MASK Rcnn, ResNet.
• Experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch.
• Knowledge of vector algebra, statistical and probabilistic modeling is desirable.
• Proficiency in programming skills involving Python, C/C++, and Python Data Science Stack (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython).
• Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus.
• Experience in data visualization software such as Tableau, ELK, etc is a plus.
• Strong analytical, critical thinking, and problem-solving skills.

• B.E/ B.Tech./ M. E/ M. Tech in Computer Science, Applied Mathematics, Statistics, Data Science, or related Engineering field.
• Minimum 60% in Graduation or Post-Graduation
• Great interpersonal and communication skills