Project Manager- AI

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INPosted 2 days ago

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PythonAWSGCPAzureDockerKubernetesCI/CDB2B

Job Description

Leading Enterprise sales and software company requires Project Manager-Python ( AI /ML)- Ahemdabad

One of pour client a global data-driven marketing and research consulting firm specializing in B2B demand generation, marketing analytics, and market intelligence. With offices across the US, India, and Canada, the company partners with mid-sized businesses and large enterprises to accelerate their sales and marketing outcomes through high-quality data engineering, market research, CRM optimization, and advanced analytics. It is known for its strong focus on delivering measurable ROI enabling

clients to improve lead quality, enhance conversion rates, and drive data-backed decision-making. Leveraging a blend of AI, machine learning, and deep domain expertise, the organization continues to expand its footprint as a trusted partner in transforming raw data into actionable business insights.

We are looking out for Project Manager( Python)- AI/ML for our client corporate office at Ahemdabad .

PFB the JD and details .Position Overview

Job Title: Project Manager Python (AI/ML)

Experience Required: 7- 12 years of relevant experience

Relevant Python Experience: 4 -5 Years (recent hands-on)

Employment Type: Full-Time

Location: Ahmedabad

Qualification: Bachelors or Masters degree in Computer Science, IT, or Engineering from a reputed/top-tier institution

Job Summary

We are seeking a highly skilled and hands-on Technical Lead Python (AI/ML) with 813 years of overall experience, including 45 years of strong, recent hands-on

Python development and 34 years of team leadership experience.

The ideal candidate is a Technical Authority + Team Leader who has experience building scalable AI/ML systems, defining architecture, mentoring teams, and delivering

production-grade solutions.

Candidates from top-tier universities or reputed product-based / high-growth organizations will be preferred.This role requires the ability to bridge business requirements with technical execution while driving innovation, scalability, and engineering excellence.

Key Responsibilities

Lead, mentor, and upskill a team of junior and mid-level developers
Drive end-to-end ownership of AI/ML solution design, architecture, and delivery
Design, develop, and deploy scalable AI/ML-based solutions using Python
Define and enforce system architecture, coding standards, and best practices
Write clean, efficient, and production-ready Python code
Develop automation, web extraction, scripting, and integration workflows
Conduct code reviews and ensure high-quality engineering output
Collaborate with stakeholders to translate business needs into technical solutions
Ensure scalability, performance, and security of AI systems
Stay updated with emerging AI technologies, tools, and frameworks

Drive innovation and continuous improvement across projects and teams

Required Skills Competencies

7-12 years of overall experience in software development

Minimum 4 years of recent, hands-on Python development experience (mandatory)
Minimum 2 years of team leadership / mentoring experience
Proven experience building and deploying AI/ML solutions in production
Strong experience in Data Science (data analysis, modeling, evaluation)
Advanced problem-solving and system design capabilities
Deep understanding of AI system architecture, including:
Model architecture
Prompt engineering
System layers and integrations
End-to-end solution design
Ability to architect scalable, reliable, and production-grade systems
Strong technical decision-making and leadership skills
Proven experience working with or graduating from top-tier universities or reputed organizations
Strong communication and stakeholder management skills
Ability to align technical solutions with business objectivesPreferred Skills
Advanced expertise in Python frameworks and AI/ML libraries
Experience with LLMs, Generative AI, or agentic AI systems
Experience working on multiple large-scale AI/ML projects
Exposure to cloud platforms (AWS, Azure, GCP)
Knowledge of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes)