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POD Lead - AI & ML
Ampera Technologies's logo

POD Lead - AI & ML

Faisal AshrafNomani's profile picture
Posted by Faisal AshrafNomani
10 - 15 yrs
Best in industry
Remote only
Skills
skill iconPython
SQL
MLOps
Engineering Management
Statistical Modeling
Artificial Intelligence (AI)

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.

 

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Ampera Technologies

Founded :
2024
Type :
Services
Size :
20-100
Stage :
Profitable

About

At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions

Read more

Company social profiles

N/A

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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