Senior AI/ML Engineer

ServiceChannel; Bangalore Rural; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

ServiceChannel is looking for a highly skilled Senior AI/ML Engineer to design and implement intelligent systems leveraging AI and ML techniques. This hybrid role requires experience in building AI-driven solutions to enhance product capabilities and user experiences.

Key responsibilities include developing robust AI/ML pipelines, collaborating with cross-functional teams, and owning the entire AI/ML lifecycle. Candidates should have a strong foundation in AI/ML concepts, and hands-on experience in the field is essential.

Qualifications

• 5+ years of experience in AI/ML engineering, data science, or a related field.
• Strong foundation in both AI and ML concepts, including supervised/unsupervised learning.
• Hands-on experience in building and deploying AI/ML solutions.

Responsibilities

• Design, develop, and deploy AI/ML solutions.
• Collaborate with data scientists, engineers, and product teams.
• Own the end-to-end AI/ML lifecycle including experimentation and optimization.

Skills

AI/ML engineering

Data science

Python

SQL

TensorFlow

PyTorch

ML frameworks

NLP

MLOps practices

Cloud platforms

Education

5+ years experience in AI/ML engineering or related field

Tools

Databricks

MLflow

CI/CD platforms

Job description

Job Title: Senior AI/ML Engineer

Location: Hybrid

Job Type: Full-time

Position Overview

We are looking for a highly skilled and experienced Senior AI/ML Engineer to join our team. In this role, you will design and implement intelligent systems leveraging both Artificial Intelligence (AI) and Machine Learning (ML) techniques, building scalable AI-driven solutions such as predictive models, intelligent automation, and data-driven decision systems that enhance product capabilities and user experiences.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions, including predictive models, recommendation systems, and intelligent automation capabilities.
• Build and automate robust, scalable pipelines for data processing, model training, validation, deployment, and monitoring in production environments.
• Collaborate with data scientists, engineers, and product teams to translate business problems into AI-driven solutions.
• Analyse large and complex datasets to extract insights and develop data-driven intelligent systems.
• Own the end-to-end AI/ML lifecycle, including experimentation, model development, deployment, monitoring (e.g., drift detection), retraining, and optimization.
• Develop and integrate AI capabilities such as natural language processing (NLP), anomaly detection, or decision intelligence into applications.
• Implement and manage CI/CD pipelines and MLOps practices for AI/ML workflows, including testing, versioning, and model governance.
• Work closely with engineering and DevOps teams to build scalable infrastructure for training and inference (batch and real-time).
• Stay current with advancements in AI, ML, and Generative AI, and proactively identify opportunities to apply them within the platform.
• Continuously improve engineering practices, automation, and system performance.

Required Skills and Experience

• 5+ years of experience in AI/ML engineering, data science, or a related field.
• Strong foundation in both Artificial Intelligence and Machine Learning concepts, including supervised/unsupervised learning and statistical modeling.
• Hands‑on experience in building and deploying AI/ML solutions in production environments.
• Proficiency in Python and SQL for data processing and model development.
• Experience with ML frameworks/libraries such as TensorFlow, PyTorch, or scikit‑learn.
• Experience with Databricks or similar data platforms for building and deploying models.
• Familiarity with AI techniques such as NLP, recommendation systems, or generative AI applications.
• Experience implementing MLOps practices using tools such as MLflow and CI/CD platforms (e.g., GitHub).
• Strong understanding of the full AI/ML lifecycle and production workflows.
• Familiarity with cloud-based data platforms such as Snowflake, AWS, or Azure.
• Strong problem‑solving, analytical, and communication skills.

Preferred Skills & Experience

• Experience with Generative AI / LLMs (e.g., OpenAI, LangChain, prompt engineering).
• Experience with real‑time inference systems and event‑driven architectures.
• Exposure to big data technologies (Spark, Kafka, etc.).

Equal Opportunity Employer Statement

We are an Equal Opportunity Employer. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. We are also committed to providing reasonable accommodations for applicants with disabilities.