AI/ ML Engineering

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.

We seek a highly motivated and skilled Lead Generation executive to join our dynamic sales team in the IT Industry. The successful candidate will play a pivotal role in identifying and cultivating potential sales opportunities, generating leads through various channels, and maintaining a robust pipeline of prospects. This role is not just about reaching out to potential clients, understanding their needs, and effectively communicating our value proposition to spark interest. It's about driving our market presence and revenue growth. The Lead Generator will work closely with the sales and marketing teams to develop and implement strategies that increase our market presence and drive revenue growth, making a significant impact on our company's growth trajectory.

About the role

We are looking for a Growth Marketing Executive to drive the growth of HelloAria, our AI assistant that has already reached tens of thousands of users, largely through word of mouth. This is a growth and product marketing role, distinct from sales marketing. You will own how the right people discover HelloAria and stay with it, across influencer marketing, social platforms, and paid advertising.

This is a full time, on-site role based in Hyderabad.

Key responsibilities

- Identify, reach out to, and build lasting relationships with relevant influencers and creators

- Own the day to day of our social and marketing platforms, including content, scheduling, and community engagement

- Plan, launch, and manage paid campaigns on Google Ads and Meta (Facebook and Instagram), including budgets, targeting, creatives, and performance

- Continuously track the metrics that grow users, run experiments, and double down on what works

- Report on growth performance and share clear insights with the team

Requirements

- 3 years of hands-on experience in growth or product marketing, not primarily sales marketing

- Practical experience running Google Ads and Meta Ads

- Experience with influencer outreach and managing social media platforms

- Comfortable with marketing analytics and making decisions from data

- Organised, self-driven, and able to own targets and numbers

- Strong written communication in English

Good to have

- Experience marketing a product, app, or SaaS rather than a service

- Familiarity with tools like Google Analytics, Meta Business Suite, and content scheduling tools

- An eye for creative and messaging that converts

What we offer

- Ownership of growth for a live AI product that people already use every day

- A small, fast-moving team where your work shows up in real users, week after week

- Real, measurable marketing experience on a product with global reach

About Realityrift Innovations

Realityrift Innovations is a product-first software and AI company. We build our own products, including HelloAria, alongside custom software for businesses across the US, UK, and Europe. We are backed by NVIDIA Inception, AWS, and Google Cloud.

Top college graduate with experience as Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ EX-Customer Success profile

Mandatory (Experience 1): Must have minimum 4+ years of experience in any of role (Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ Ex-Customer success) profile

Mandatory (Experience 2): Must have strategic thinking and good communication skills

Mandatory (Experience 3): Must have worked in startup or operator-style environments — demonstrating hands-on problem solving, building processes from scratch, and driving measurable outcomes across cross-functional teams

Mandatory (Graduation): Only IIT candidates from these IIT only (Kharagpur, Mumbai, Madras, Kanpur, Delhi, Roorkee, Guwahati)

Mandatory (Graduation Year): Candidates should have graduated in 2018 or before.

Mandatory (Compensation): Candidate's current CTC should not be less than 35 LPA

• Experience in Solutioning IT Services solutions in multi-service areas: Infrastructure Services, Applications Development, Applications Maintenance, Business Process Outsourcing
• Deep experience in three key functional areas: Technical Solutioning, Competitive Analysis, Pricing & Analysis
• 8+ years’ experience in these three functional areas.
• Demonstrated track record of winning deals.
• Knowledge of IT Services vendors in the competitive landscape, with a deep knowledge of 1-2 vendors Solutioning and go to market approach.
• Exceptional data analysis and creative problem-solving skills.
• Self-motivated and entrepreneurial.
• Ability to learn new skills quickly.
• Ability to communicate at the Executive level.
• Deep MS Excel skills.
• BS and/or MS in computer science or equivalent experience.

- Budget - Up to 7.5 LPA + Incentives for experienced candidates and Fixed compensation of 5 LPA + incentives to Freshers.
- Location - Gurugram/Bangalore (Work From Home Until Further Notice) 

Ed-Tech Experience (Preferable, Not Mandatory)

Roles and Responsibilities : 

Your primary job responsibility will include (and not limited to): 

• Driving inquiries and admissions for the online and blended learning programs offered
• Looking after the entire sales lifecycle: starting from engaging with leads till the final conversion
• Counseling professionals via call, email, or in-person and suggesting the best course for prospective students
• Updating and maintaining MIS reports
• Coordinating with the marketing team to fine-tune marketing plans related to admissions
• The Employee will be involved in inside sales.

Skills : 

- A graduate.

- Prior experience in sales preferred.

- Freshers (Some internship experience should be there)

- Excellent interpersonal and communication skills.

• Research and recommend prospects for new business opportunities
• Research and analyze sales options
• Build and maintain relationships with clients and prospects
• Stay current with trends and competitors to identify improvements or recommend new products
• Collect and analyze information and prepare data and sales reports
• Attend workshops to learn more technical and professional skills for the job
• Build and maintain professional networks