Social Media Marketing Executive (1-2 yrs)

Role Overview

We are seeking a hands-on technology POD Lead who blends engineering excellence with statistical rigor and business acumen to drive end-to-end product delivery in an agile, data-driven environment. The ideal candidate will lead a multidisciplinary team of BI developers, data engineers, ML practitioners, and product analysts to accelerate business growth through scalable, AI-enabled products, econometric models and intelligent insights.

This role sits at the intersection of engineering, analytics, econometrics, MLOps and growth strategy, requiring a balance of technical depth, stakeholder engagement, and agile execution.

Key Responsibilities

1. Leadership & Delivery

• Lead a cross-functional pod of data engineers, BI developers, statisticians and machine learning engineers to deliver AI-powered products and analytics solutions.
• Translate strategic goals into data science roadmaps executed in agile sprints, ensuring measurable business outcomes for every release.
• Foster a culture of experimentation, accountability, and rapid iteration across data, AI, and product workstreams.

2. Product & Business Integration

• Partner with business stakeholders across Sales, Marketing, Finance, and Operations to identify high-impact use cases such as churn prediction, growth forecasting, pricing optimization, causal impact analysis or next-best-action recommendations.
• Drive the roadmap for analytical and econometric product capabilities (e.g., predictive dashboards, personalization engines, time-series forecasting, and more).
• Ensure all solutions are aligned with enterprise data strategy, governance, MLOps lifecycle and security standards.

3. Technical Execution

• Collaborate with ML engineers to productionalize models using Databricks, MLflow, Azure ML, or equivalent CI/CD MLOps frameworks.
• Guide teams on feature engineering, model selection, hyperparameter tuning, and validation for statistical and machine learning models.
• Encourage adoption of reusable data assets, API-based integrations, and modular code frameworks.
• Oversee econometric modeling, causal inference studies, and time-series forecasting for business-critical decision-making.
• Champion model lifecycle management, including version control, retraining pipelines, and performance drift monitoring.

4. Business Intelligence & Data Storytelling

• Supervise the creation of advanced BI dashboards and insight layers powered by predictive and generative AI.
• Translate complex statistical outputs into actionable business narratives for executive decision-making.
• Champion KPI alignment and measurement frameworks, ensuring analytics deliver quantifiable value to revenue, growth, retention, and operational efficiency metrics.

5. Agile Program Management

• Manage sprint planning, backlog prioritization, and resource allocation across concurrent projects.
• Track velocity, quality metrics, and ROI impact for each product stream.
• Coach teams on agile best practices and outcome-oriented delivery.

Qualifications

Required

• 10+ years of total experience with at least 3 years in a tech lead capacity.
• Proven expertise in Python, SQL, statistical modeling (e.g., regression, time-series, causal inference) and one or more of Power BI, Tableau, MicroStrategy.
• Strong foundation in data engineering, cloud architecture (Azure/AWS/GCP), and ML model deployment.
• Experience leading cross-functional agile teams with engineers, analysts, and data scientists.
• Excellent communication and stakeholder management skills — capable of simplifying complex data stories for business leaders.

Preferred

• Experience in forecasting models, econometrics, and experimental design (A/B testing, uplift modeling).
• Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Azure ML pipelines) and monitoring frameworks for models in production.
• Familiarity with agentic AI, LLM-based product development, or generative analytics use cases.
• Prior experience building analytics or AI solutions in B2B, SaaS, or digital transformation contexts.
• Certifications in Agile, Cloud (Azure ML, AWS Data Analytics), or Data Science specialization are a plus.

Key Traits

• Hands-on technologist who can code, review, and guide with empathy.
• Strategic thinker who connects product vision with execution.
• Comfortable operating in ambiguity and scaling solutions from POC to enterprise rollout.
• Passionate about mentoring teams and embedding a data-first, growth-oriented mindset.

Job description:

Job Title: HR Intern

Internship Duration: 4 Months

Location: Bangalore (On-site)

Joining: Immediate

Stipend: 8,000 per month

Requirement: Own Laptop Mandatory

Job Description:

We are looking for an HR Intern to support our Human Resources team with day-to-day HR operations. This internship is suitable for candidates who want hands-on exposure to recruitment and basic HR activities.

Roles & Responsibilities:

• Assist in sourcing candidates through job portals, LinkedIn, and referrals
• Screen resumes and shortlist profiles as per requirements
• Coordinate interviews and follow up with candidates
• Maintain candidate and recruitment data in Excel or ATS
• Support onboarding documentation and joining formalities
• Assist the HR team with basic administrative tasks
• Communicate with candidates through calls, emails, and messages

Eligibility Criteria:

• Graduate or pursuing graduation/post-graduation (any discipline)
• Basic understanding of recruitment or HR processes
• Good communication skills (English & Hindi preferred)
• Willingness to learn and work in a team environment
• Must have a personal laptop
• Available for a 4-month internship

Skills Required:

• Basic computer knowledge (MS Excel, MS Word)
• Good verbal and written communication
• Organizational and coordination skills
• Attention to detail

What You Will Learn:

• End-to-end recruitment process
• Candidate coordination and HR operations
• Practical exposure to corporate HR functions

Job Types: Full-time, Internship

Contract length: 4 months

We're hiring a skilled AI Developer to join our growing team at Geo Wave Pvt Ltd, based in Malé, Maldives. You’ll lead the development of smart automation tools, reporting dashboards, and AI systems to optimize our internal operations across fuel, logistics, and finance.

Responsibilities:

• Build and deploy AI-powered business tools
• Implement OCR/NLP solutions for document automation
• Create custom dashboards and backend APIs
• Automate workflows for reporting, inventory, and sales tracking

Must-Have Skills:

Python, Flask/FastAPI, TensorFlow/PyTorch, OCR/NLP, API development

Good-to-Have:

React.js, PostgreSQL, AWS/GCP, Docker

Software Developer:

• Strong experience on Java and Python
• Experience on Kafka, Kubernetes, and React
• Must have experience on any one database
• Location :Bangalore and Hyderabad
• Experience : 5-10 Years

Should have delivered successful end-to-end development to deployment experience on Web applications and Api’sin last 4-12 years

·         Extensive experience with C#, .Net Core, Web API, Oops, Design patterns & principles.

·         Experience in MySQL is a must and added advantage to have knowledge of NOSQL database.

·         Extensive experience in writing rest full API

·         Experience in using version controls such as GIT, Continuous Integration, Continuous Delivery

·         1-2 year of experience in Angular 2/4/5/6/7/8/9/10/11/12, Typescript, JavaScript, and Bootstrap with Restful API’s is a plus

·         Good to have experience in testing and debugging new programs using