Business Development

We are looking for a data-driven Performance Marketing Expert to plan, execute, and optimize performance-based digital marketing campaigns across paid media channels. The ideal candidate has a strong analytical mindset, deep knowledge of digital advertising platforms, and a proven track record of driving measurable growth through paid campaigns.

Key Responsibilities:

• Plan, manage, and optimize paid media campaigns across Google Ads, Meta (Facebook & Instagram), LinkedIn, and other relevant platforms.
• Track and analyze key performance metrics (CPA, ROAS, CTR, LTV, etc.) to evaluate campaign success and ROI.
• Collaborate with the creative team to develop compelling ad copy, landing pages, and creatives optimized for conversions.
• Conduct A/B tests to improve ad performance, landing pages, and user journeys.
• Implement tracking through Google Tag Manager, pixels, and third-party attribution tools (e.g., GA4, AppsFlyer).
• Prepare weekly and monthly performance reports, offering insights and data-backed recommendations.
• Manage campaign budgets effectively, ensuring maximum ROI and optimal spend pacing.
• Stay updated with platform updates, algorithm changes, and industry best practices.

Requirements:

• 1+ years of hands-on experience in performance marketing or paid digital media.
• Proficiency with tools like Google Ads, Facebook Ads Manager, Google Analytics (GA4), and Google Tag Manager.
• Strong analytical skills; comfortable working with data sets and drawing actionable insights.
• Experience with conversion rate optimization (CRO) and A/B testing tools.
• Familiarity with affiliate, influencer, or programmatic advertising is a plus.
• Excellent communication and project management skills.

About the Role:

We are looking for a skilled AWS DevOps Engineer to join our Cloud Operations team in Bangalore. This hybrid role is ideal for someone with hands-on experience in AWS and a strong background in application migration from on-premises to cloud environments. You'll play a key role in driving cloud adoption, optimizing infrastructure, and ensuring seamless cloud operations.

Key Responsibilities:

• Manage and maintain AWS cloud infrastructure and services.
• Lead and support application migration projects from on-prem to cloud.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
• Monitor cloud environments and optimize cost, performance, and reliability.
• Collaborate with development, operations, and security teams to implement DevOps best practices.
• Troubleshoot and resolve infrastructure and deployment issues.

Required Skills:

• 3–5 years of experience in AWS cloud environment.
• Proven experience with on-premises to cloud application migration.
• Strong understanding of AWS core services (EC2, VPC, S3, IAM, RDS, etc.).
• Solid scripting skills (Python, Bash, or similar).

Good to Have:

• Experience with Terraform for Infrastructure as Code.
• Familiarity with Kubernetes for container orchestration.
• Exposure to CI/CD tools like Jenkins, GitLab, or AWS CodePipeline.

Requirements:

• Must have 5+ years of experience
• Strong proficiency in data engineering concepts and practices.
• Extensive experience in applying data science and machine learning techniques.
• Working knowledge of extracting information from unstructured data sources, particularly PDFs.
• Hands-on experience with Large Language Models (LLMs) such as GPT and Gemini.
• Knowledge of prompt engineering and fine-tuning techniques.
• Practical experience in building Retrieval-Augmented Generation (RAG) systems.
• Experience in processing large volumes of unstructured data, preferably in the insurance, legal, or healthcare sectors.
• Proven experience in extracting valuable insights from diverse data sets.
• Familiarity with Vector Databases, Azure Cloud, LangChain, Lama Index, and OCR tools and techniques.
• Working knowledge of PDF to text extraction tools like PDFMiner, PyMuPDF, or PDFPlumber, OCR tools.
• Skilled in machine learning, deep learning, computer vision, natural language processing (NLP), and generative AI models.

Good to have:

Working knowledge of Python and libraries such as NumPy, pandas, scikit-learn, and TensorFlow/PyTorch.

Preferred Qualifications:

BE/MS/PhD in Computer Science, Data Science, Machine Learning, or related fields.

Note: We are looking for passionate candidates who can join immediately.

What you need to have:

      Experience in C#, OOps, Javascript, HTML

·       Should have delivered successful end-to-end development to deployment experience on Web applications and Api’sin last 1-5 years

·         Experience in SQL is a must

·         Should have 1-5 years experience in backend development

·         Experience in service-based development using technologies such as Web API and RESTful services. 

·         Proficient in writing clean, well-structured code with proper abstraction and reusability.

.         Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements.