Urgent! AI/ML Systems Engineer Job Opportunity in Bengaluru, India – Now Hiring ServiceChannel

Job description

Job Description:

ServiceChannel is the leading cloud-based service automation platform for facilities management.

We empower businesses to source, procure, manage, and pay for repair and maintenance services through a single, unified platform.

Our mission is to simplify operations and deliver exceptional customer experiences through innovation and technology.

We are looking for a highly skilled and experienced Senior AI/ML Developer to join our dynamic team.

In this role, you will design and deploy state-of-the-art machine learning (ML) models, develop scalable data pipelines, and collaborate with cross-functional teams to drive innovative solutions.

You will work with large and complex datasets, implement cutting-edge technologies, and shape the future of our AI-driven initiatives.

Responsibilities:

Build and automate robust, scalable ML pipelines for training, validation, deployment, and monitoring in production environments.

Collaborate with data scientists, engineers, and product managers to understand business requirements and translate them into ML solutions.

Analyze and process large-scale datasets to develop efficient ML models and drive actionable insights.

Own the end-to-end ML model lifecycle, including versioning, deployment, performance monitoring (e.G., drift detection), recalibration, troubleshooting, and retraining.

Develop and manage CI/CD pipelines for ML workflows, including automated testing, containerization, and model registry integration.

Implement and manage scalable ML infrastructure for data processing, training, and inference in collaboration with DevOps and engineering teams.

Continuously improve engineering practices, code quality, and automation, while staying up to date with the latest trends in AI, ML, and MLOps.

Requirements:

Minimum 5 years of experience in ML engineering or a combination of ML engineering and data science, with a focus on data analysis, feature engineering, model development, deployment, and maintenance.

Strong hands-on experience with Databricks for ML model development and deployment.

Strong understanding of machine learning and data science fundamentals (e.G., supervised and unsupervised learning, feature selection, etc.).

Proficiency with popular ML frameworks and libraries (e.G., TensorFlow, PyTorch, Scikit-learn).

Experience implementing MLOps practices using tools such as MLflow and CI/CD platforms (e.G., GitHub).

Deep understanding of the ML model lifecycle and production workflows.

High proficiency in SQL and Python.

Familiarity with cloud-based data platforms such as Snowflake or similar technologies.

Excellent communication and interpersonal skills to collaborate across teams.

Robust problem-solving and analytical skills.

Required Skill Profession

ServiceChannel interview tips for AI/ML Systems Engineer

Here are some tips to help you prepare for and ace your AI/ML Systems Engineer job interview:

Before the Interview:

Research: Learn about the ServiceChannel's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI/ML Systems Engineer interview at ServiceChannel, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ServiceChannel's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

AI/ML Systems Engineer

Job description

Company: ServiceChannel

Location: Bengaluru, Karnataka, India

Job Type: Full-time

Salary: Undisclosed

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