Technical Project Manager

Department Icon Data Science Analytics & Machine Learning
Posted: 4 months ago
8-10 years
Ahmedabad, Gujarat
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 4 months ago
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Job Description

Company Name: IMS Group - Interactive Manpower Solutions Pvt. Ltd.

Company Website: https://imsplgroup.com/

LinkedIn URL: https://www.linkedin.com/company/ims-group-pvt-ltd/mycompany/

Instagram Page: https://instagram.com/imsplgroupigshid=MzRlODBiNWFlZA==

Facebook Page: https://www.facebook.com/profile.phpid=100064152248422&mibextid=ZbWKwLJob Title: Technical Project Manager

Location: Makarba, Ahmedabad (On-site)

Shift timing: 11:00 AM – 8:00 PM

Experience required: 8–10 Years

Managerial Experience required: Minimum 5+ Years

Education: BE / B.Tech

Job Summary -

We are looking for a highly skilled and hands-on Technical Project Manager with strong expertise in software development, architecture, cloud technologies, and AI-driven digital transformation. The ideal candidate should have proven experience in managing engineering teams, driving technical excellence, reviewing code, and leading AI/ML-powered product and automation initiatives.

The candidate should be capable of bridging business goals with modern engineering practices, including Generative AI, intelligent automation, cloud-native architecture, and data-driven decision-making.

Key Responsibilities -

Technical Leadership

  • Lead and mentor software development teams with hands-on involvement in coding, architecture reviews, and technical governance.
  • Drive architecture design, technical decision-making, scalability planning, and engineering best practices.
  • Provide technical leadership in AI, .NET, C#, ASP.NET MVC, Web APIs, microservices, and enterprise application development.
  • Establish coding standards, AI-assisted development practices, and engineering quality benchmarks

AI/ML & Generative AI Initiatives

  • Lead AI/ML and Generative AI initiatives across products, workflows, and business processes.
  • Design and implement AI-powered solutions including:
  • Intelligent automation workflows
  • AI copilots and chatbots
  • Document processing and OCR automation
  • Recommendation engines
  • Predictive analytics
  • AI-driven reporting and insights
  • Work with modern AI ecosystems such as:
  • OpenAI / Azure OpenAI
  • LLM integrations
  • Prompt engineering
  • Vector databases and RAG architectures
  • AI APIs and cloud AI services
  • Evaluate and adopt emerging AI technologies to improve operational efficiency and product innovation.
  • Drive responsible AI practices, governance, data security, and AI scalability.

Software Development & Cloud Engineering

  • Ensure high-quality delivery of scalable, secure, and high-performance enterprise applications.
  • Guide teams on APIs, integrations, microservices, CI/CD pipelines, and cloud-native architectures.
  • Provide technical leadership on Azure/AWS infrastructure, deployments, DevOps, monitoring, and automation.
  • Drive modernization initiatives including AI-enabled applications and cloud transformation.

Product & Delivery Management

  • Manage project delivery, sprint planning, timelines, quality, risks, and stakeholder communication.
  • Collaborate with product, business, and technical teams to deliver innovative and AI-enabled solutions.
  • Drive engineering governance, continuous improvement, performance optimization, and technical documentation.
  • Support strategic technology roadmap planning aligned with business goals.

Required Technical Skills

Core Technologies

  • .NET, C#, ASP.NET MVC, Web APIs
  • API Design, Microservices, System Integrations
  • SQL Server / RDBMS
  • Azure / AWS Cloud Platforms
  • CI/CD, DevOps, Git
  • SDLC, Agile/Scrum Methodologies

AI & Modern Technologies

  • AI/ML Concepts and AI Solution Architecture
  • Generative AI & LLM Integrations
  • AI Automation & Workflow Orchestration
  • Chatbots, AI Assistants, and Prompt Engineering
  • Azure OpenAI / OpenAI APIs / Cloud AI Services
  • Understanding of Data Engineering & Analytics concepts
  • Exposure to AI security, governance, and responsible AI practices

Leadership & Soft Skills

  • Strong team management and mentoring experience
  • Excellent communication and stakeholder management skills
  • Strong analytical, problem-solving, and decision-making abilities
  • Strategic thinker with a hands-on technical approach
  • Ability to drive innovation, digital transformation, and AI adoption initiatives
  • Strong ownership mindset with focus on execution and delivery excellence

Preferred Qualifications

  • Experience leading AI transformation or enterprise modernization initiatives
  • Exposure to AI-enabled SaaS platforms or enterprise products
  • Certifications in Azure/AWS Cloud or AI technologies are a plus
  • Experience working with cross-functional and globally distributed teams is preferred

Skills

Predictive AnalyticsScrumAi/mlPrompt EngineeringAnalyticsAiMlSql

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