AI Engineer + Claude + Python IRC305439

GlobalLogic Inc.; Bengaluru; Hybrid; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Flexible work schedule

Work from home options

Competitive pay and benefits

Job summary

GlobalLogic is seeking an experienced ML/AI engineer to design, develop, and deploy machine learning and deep learning models in Bengaluru. You will build scalable AI solutions, work with large datasets, and collaborate with cross-functional teams to translate business requirements into production-ready AI systems.

The role requires strong Python skills, hands-on ML framework experience, and familiarity with MLops, API deployment, and cloud platforms.

Qualifications

• Bachelor’s or Master’s degree in CS/AI/DS or related field.
• Strong Python programming skills and ML framework experience.
• Hands-on data manipulation with Pandas/NumPy.
• Experience deploying ML models via APIs, Docker, and cloud platforms (AWS/Azure/GCP).
• Solid ML/deep learning understanding and SQL knowledge.
• Experience with Git and collaboration in teams.

Responsibilities

• Design, develop, and deploy ML/DL models.
• Build scalable AI solutions and productionize them.
• Handle large datasets with preprocessing and feature engineering.
• Develop NLP/CV/recommendation or analytics solutions as needed.
• Fine-tune and deploy LLMs when required.
• Implement MLOps for monitoring, retraining, versioning.
• Collaborate with cross-functional teams to translate business needs into AI solutions.
• Stay updated with AI advances and emerging technologies.

Skills

Python

ML frameworks

Pandas/NumPy

SQL

API/Model deployment

Git

Communication

Education

Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field

Tools

Docker

AWS/Azure/GCP

MLflow/Kubeflow

Job description

GlobalLogic, a Hitachi Group company, is a trusted partner in design, data, and digital engineering for the world’s largest and most innovative companies. Since our inception in 2000, we have been at the forefront of the digital revolution, helping to create some of the most widely used digital products and experiences. Our purpose is to positively impact society and the planet through cutting-edge technology. Together with our clients, we are engineering impact through intelligent products, platforms, and services that are designed for desirability, engineered for excellence, and curated for intelligence.

Requirements

Required Skills & Qualifications

Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field.

Strong programming skills in Python.

Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Hands-on experience with data manipulation libraries (Pandas, NumPy).

Experience in model deployment using APIs, Docker, or cloud platforms (AWS/Azure/GCP).

Solid understanding of machine learning algorithms and deep learning architectures.

Knowledge of SQL and working with large-scale datasets.

Experience with version control systems (Git).

Preferred Qualifications

Experience with Generative AI and LLMs (OpenAI, Hugging Face, LangChain, etc.).

Exposure to vector databases and embeddings.

Knowledge of MLOps tools (MLflow, Kubeflow, Airflow).

Experience in building AI-powered chatbots or automation tools.

Familiarity with CI/CD pipelines.

Soft Skills

Strong analytical and problem-solving skills.

Excellent communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment.

Self-driven and innovation-oriented mindset.

Job responsibilities

Key Responsibilities

Design, develop, and deploy machine learning and deep learning models.

Build scalable AI solutions and integrate them into production systems.

Work with large datasets: data preprocessing, feature engineering, and model validation.

Develop NLP, computer vision, recommendation systems, or predictive analytics solutions (as applicable).

Fine-tune and deploy large language models (LLMs) where required.

Optimize models for performance, scalability, and reliability.

Implement MLOps pipelines for model monitoring, retraining, and versioning.

Collaborate with cross-functional teams to translate business requirements into AI solutions.

Stay updated with latest advancements in AI and emerging technologies.

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.