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Sr_AI_Engineer (Python) IRC239724
| Job: | IRC239724 |
| Location: | India - Hyderabad, Noida |
| Designation: | Consultant |
| Experience: | 5-10 years |
| Function: | Engineering |
| Skills: | AI, Machine Learning, prompt engineering, Python, RabbitMQ |
| Work Model: | Hybrid |
Description:
We are looking for a highly skilled and versatile AI Engineers. This role requires a strong background in text mining, natural language processing (NLP), computer vision, and time series analysis. The ideal candidate will be proficient in Python and familiar with major Python libraries such as Pandas, Scikit-learn, NumPy, and others. In addition to their data science/AI expertise, the candidate should have experience managing data pipelines and be familiar with technologies like Docker, RabbitMQ, SQLite, and more.
• Develop and implement advanced AI models using techniques such as text mining, NLP, computer vision, and time series analysis.
• Design and optimize data pipelines that handle the data flow within the Process Discovery tool.
• Utilize Python and its major libraries (Pandas, Scikit-learn, NumPy, etc.) to analyze and process large datasets
• Design, build, and maintain scalable data pipelines that ensure the smooth operation of the complete product suite.
• Optimize data processing workflows using tools like Docker, RabbitMQ, and SQLite.
• Monitor and troubleshoot data pipelines, ensuring data integrity and performance.
• Working with OCR libraries are added advantage
• Working with BPMN tool is a big plus
• Good Working knowledge of AWS/Azure Pipelines
Requirements:
We are looking for a highly skilled and versatile AI Engineers. This role requires a strong background in text mining, natural language processing (NLP), computer vision, and time series analysis. The ideal candidate will be proficient in Python and familiar with major Python libraries such as Pandas, Scikit-learn, NumPy, and others. In addition to their data science/AI expertise, the candidate should have experience managing data pipelines and be familiar with technologies like Docker, RabbitMQ, SQLite, and more.
• Develop and implement advanced AI models using techniques such as text mining, NLP, computer vision, and time series analysis.
• Design and optimize data pipelines that handle the data flow within the Process Discovery tool.
• Utilize Python and its major libraries (Pandas, Scikit-learn, NumPy, etc.) to analyze and process large datasets
• Design, build, and maintain scalable data pipelines that ensure the smooth operation of the complete product suite.
• Optimize data processing workflows using tools like Docker, RabbitMQ, and SQLite.
• Monitor and troubleshoot data pipelines, ensuring data integrity and performance.
• Working with OCR libraries are added advantage
• Working with BPMN tool is a big plus
• Good Working knowledge of AWS/Azure Pipelines
Responsibilities:
• Work in the team working under agile software engineering (analysis, architecture, technical design, task planning, coding, PR reviews, maintenance, etc.) framework
• Build innovative backend services
• Code, test, document and deliver features with high-performance and availability in mind
• Enhance existing and create new features for AI based Process Discovery Product Suite
• Collaborate with program managers, designers, software engineers in tests to build and enhance the backend
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!