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India || AI/ML Engineer with GenAI IRC242165
| Job | IRC242165 |
| Location | India - Noida |
| Designation | Senior Software Engineer |
| Experience | 5-10 years |
| Function | Engineering |
| Skills | AI, Azure, Conversational AI and Chatbots, Data Science, Generative Models, REST interfaces, Retrieval-Augmented Generation (RAG) |
| Work Model: | Hybrid |
Description
We seeking a skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.
Requirements
Must Have:
4-6 years of experience in machine learning and GenAI, GPT, RAG, LLM,NLP, with a focus on developing applications using LLMs.
Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
Build and optimized RAG and vectorized databases
Experience in SQL and NoSQL
Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Experience with Agile methodologies and software development lifecycle.
GPT – Generative Pre-training Transformer
LLM – Large Language Models
RAG – Retrieval augmented generation
Exposure to Data Analysis:
Perform exploratory data analysis to uncover patterns, correlations, and insights.
Develop and implement models and machine learning algorithms to solve business problems.
Good to have C#.NET, Angular 18, JavaScript, SQL
Preferred:
Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
Certifications or advanced training in machine learning, cloud architectures, or similar fields.
Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.
Job Responsibilities
What you will Do:
Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
Build and optimized RAG and vectorized databases
Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
Implement security measures to protect sensitive information processed by chatbots.
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!