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EngineeringNew💼 FullTime

Forward Deployed Engineer at AI Transformation Partner

Unknown
3 hours ago
Location

Bengaluru, Pune

Salary

₹8-15 LPA

Apply By

ASAP

Views

12

Eligible Batches

🎓 Freshers Batch🎓 2024 Batch🎓 2025 Batch🎓 2026 Batch

Job Description

Join our cutting-edge AI transformation partner as a Forward Deployed Engineer and drive successful model deployment adoptions for clients.

Roles & Responsibilities

Serve as a technical bridge between Sales, Engineering, and Service Delivery teams. Lead technical discovery, system design, and production rollouts. Shape the client experience through collaborative system architecture and execution. Operate cross-functionally with Research, Partnerships, GRC, Security, and GTM teams.

Requirements

Strong understanding of AI/ML fundamentals and deployment workflows Proficiency in programming languages such as Python and Java Experience with containerization using Docker and Kubernetes Excellent problem-solving skills and attention to detail Strong communication and teamwork skills

Nice to Have

Experience with frontier model deployments. Knowledge of cloud and artificial intelligence technologies. Understanding of data-driven insights and product roadmaps.

Eligibility Criteria

B.E/B.Tech 2024/2025/2026 Batch

Tech Stack & Ecosystem

PythonJavaDockerKubernetesAI/MLCloud Deployment

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Quick Info

TypeFullTime
RoleForward Deployed Engineer
Work Mode🏢 On-site
Eligible Batches
Freshers202420252026

Tech Stack

PythonJavaDockerKubernetesAI/MLCloud Deployment

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Career Advice

Company Insights

Joining our AI transformation partner as a Forward Deployed Engineer is an incredible opportunity to be at the forefront of AI adoption and drive business growth for our clients. With cutting-edge technology and a passionate team, you'll have the chance to develop and deploy world-class AI solutions, collaborate with top industry experts, and contribute to innovative projects that shape the future of AI. By working with us, you'll not only accelerate your career growth but also become a part of a dynamic ecosystem that fosters innovation, creativity, and continuous learning.

Interview Guide

To ace the interview for this position, it's essential to prepare thoroughly and showcase your technical expertise in AI/ML, deployment workflows, and cloud technologies. Practice solving complex problems and develop strategies to overcome common deployment challenges. Additionally, prepare to discuss your experience with containerization, orchestration, and automation techniques. During the interview, highlight your problem-solving skills, attention to detail, and ability to work effectively in a team environment. Be prepared to answer behavioral questions that demonstrate your passion for AI, your adaptability to new technologies, and your dedication to delivering high-quality results. By being well-prepared and showcasing your expertise, you'll increase your chances of success and make a lasting impression on the hiring team.