AI/ML Engineer

Focally; Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Focally in Bengaluru is seeking an AI/ML Engineer to build, deploy, and maintain ML solutions. You will work on data preprocessing, model development, and production-level ML workflows, with a focus on solving real-world problems using AI technologies.

The role involves deploying models via ML Ops practices (Docker, CI/CD) and exploring new algorithms and tools to improve performance and reliability in real-world applications.

Qualifications

• Hands-on experience building ML models for classification, regression, NLP, CV, and recommender systems.
• Experience developing data pipelines for collection, preprocessing, feature engineering, and training.

Responsibilities

• Build and optimize ML models for tasks like classification, regression, NLP, CV, and recommendations
• Develop data pipelines for collection, preprocessing, feature engineering, and training
• Collaborate with cross-functional teams to deliver scalable ML solutions
• Deploy models to production using ML Ops best practices (Docker, CI/CD, monitoring)
• Evaluate, tune, and validate models using statistical and ML techniques
• Maintain and monitor ML systems for performance and reliability
• Document processes, results, and workflows
• Explore new ML algorithms, tools, and frameworks.

Skills

ML Ops

NLP libraries

Big data

LLM fine-tuning

Kubernetes deployment

Tools

MLflow

Kubeflow

Airflow

Prefect

SpaCy

Hugging Face

Spark

Hadoop

Job description

Company Overview:

Focally is a cutting-edge company specializing in the development of AR and VR smart glasses. Based in Bangalore, India, we are committed to innovation and excellence in the field of augmented and virtual reality.

We are seeking a motivated AI/ML Engineer with hands-on experience in building, deploying, and maintaining machine learning solutions. The ideal candidate has a solid foundation in data pre-processing, model development, and production-level ML workflows, with a passion for solving real-world problems using AI technologies.

Key Responsibilities

• Build and optimize ML models for tasks like classification, regression, NLP, CV, and recommendations


• Develop data pipelines for collection, preprocessing, feature engineering, and training


• Collaborate with cross-functional teams to deliver scalable ML solutions


• Deploy models to production using ML Ops best practices (Docker, CI/CD, monitoring)


• Evaluate, tune, and validate models using statistical and ML techniques


• Maintain and monitor ML systems for performance and reliability


• Document processes, results, and workflows


• Explore new ML algorithms, tools, and frameworks.

Preferred Skills

• Experience with ML Ops tools (MLflow, Kubeflow, Airflow, Prefect)


• Knowledge of NLP libraries (spaCy, Hugging Face)


• Familiarity with big data tools (Spark, Hadoop)


• Exposure to vector databases, LLM fine-tuning, or RAG


• Experience deploying models via serverless, Kubernetes, or managed ML services

Soft Skills

• Strong analytical and problem-solving abilities


• Collaborative mindset across technical teams


• Clear technical communication


• Proactive and adaptable attitude