AI Developer

r3 Consultant; Maharashtra; On-site; INR 3,060,000 - 3,740,000; Full time

Benefits offered by this job

Opportunity to work on cutting-edge AI technologies

Collaborative environment

Competitive salary package

Job summary

r3 Consultant is seeking an AI Lead with over 5 years of experience in AI/ML development. Responsibilities include developing and implementing AI solutions, collaborating with cross-functional teams, and leading AI-driven projects. The ideal candidate will have hands-on experience with AI tools like TensorFlow and cloud platforms such as AWS, along with strong problem-solving and communication skills. The role offers a hybrid work model based in Pune and a competitive salary package up to 34 LPA.

Qualifications

• Minimum of 5 years of relevant experience in AI/ML development.
• Experience in building AI-driven applications, POCs, and automation solutions.
• Hands-on expertise with AI tools, frameworks, and cloud platforms.
• Proficiency in programming languages for AI/ML model implementation.

Responsibilities

• Develop and implement AI/ML models and algorithms for applications.
• Collaborate with stakeholders to define AI-driven solutions.
• Supervise and guide team members in AI best practices.

Skills

AI/ML development

Problem-solving

Communication skills

Team leadership

Tools

TensorFlow

PyTorch

AWS

Azure

Google Cloud

Python

R

Java

Job description

Job Details

Job Title: AI Lead

Location: Pune (Hybrid/remote)

Work Mode: Onsite/Hybrid

Experience Required: 5+ years

Budget: Up to 34 LPA

Job Summary

We are looking for an AI Developer Lead with hands‑on experience working with various AI tools, Proof of Concepts (POCs), and AI‑driven projects. The ideal candidate should be proficient in designing, developing, and deploying AI solutions while collaborating with cross‑functional teams. Strong problem‑solving skills, a passion for AI innovation, and excellent communication abilities are essential.

Key Responsibilities

AI Development & Implementation

• Develop and implement AI/ML models and algorithms for real‑world applications.
• Work on Proof of Concepts (POCs) and AI‑based prototypes, translating ideas into deployable solutions.
• Optimize and fine‑tune AI models for scalability, performance, and efficiency.
• Integrate AI technologies into existing business processes and software applications.

AI Tools & Technology Stack

• Hands‑on experience with AI/ML tools, frameworks, and libraries such as TensorFlow, PyTorch, OpenAI, LangChain, and Hugging Face.
• Work with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Computer Vision.
• Utilize cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment and scaling.

Project Execution & Collaboration

• Collaborate with data scientists, software engineers, and business teams to define AI‑driven solutions.
• Work closely with stakeholders to understand business problems and develop AI‑based recommendations.
• Participate in code reviews, debugging, and troubleshooting to ensure AI applications are robust.

Communication & Documentation

• Communicate AI concepts, technical findings, and project progress to technical and non‑technical stakeholders.
• Document AI models, processes, and best practices for knowledge sharing.

Team & Project Leadership

• Supervise data scientists, ML engineers, and researchers.
• Foster collaboration between AI, product, engineering, and business units.
• Provide guidance on AI best practices and professional development.
• Promote a culture of continuous learning and experimentation.
• Use agile methodologies (Scrum/Kanban) for iterative model delivery.
• Prioritize tasks based on impact, feasibility, and business value.

Candidate Requirements

• Minimum of 5 years of relevant experience in AI/ML development.
• Strong experience in building AI‑driven applications, POCs, and automation solutions.
• Hands‑on expertise with AI tools, frameworks, and cloud platforms.
• Proficiency in programming languages such as Python, R, or Java for AI/ML model implementation.
• Experience in LLMs, NLP, Deep Learning, and Generative AI is preferred.
• Strong experience in team leading.
• Strong problem‑solving and analytical skills to drive AI initiatives.
• Excellent communication skills to convey technical concepts to diverse audiences.
• Ability to work in a hybrid model from Pune (on‑site and remote).

Benefits

• Opportunity to work on cutting‑edge AI technologies and projects.
• Collaborative environment with AI experts and business leaders.
• A chance to drive AI innovation in a dynamic and fast‑paced setting.
• Competitive salary package up to 25 LPA.
• Hybrid work model based in Pune.