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Staff_Aug_Senior_AI_Engineer IRC239777
| Job | IRC239777 |
| Location | India - Hyderabad |
| Designation | Consultant |
| Experience | 5-10 years |
| Function | Engineering |
| Skills | AI, Machine Learning, Python |
| Work Model: | Hybrid |
Description
Design and implement complex AI/ML algorithms to solve novel problems, with an emphasis on bringing these solutions to production.
Advise on performance and resource utilization issues related to AI/ML.
Regularly meet with Engineering and Product Management to project and define future AI requirements.
Build complex predictive models to make observations and drive future strategic decision-making.
Stay updated with developing AI/ML technologies, assess their applicability to our company, and suggest appropriate training and tools to management.
Modify and improve code outside of the existing architecture patterns, aligning them with the relevant company and Product standards.
Triage and debug production issues independently.
Write automated unit and end-to-end tests to vet your code.
Provide clear and actionable technical feedback to the team for pull requests and peer reviews.
Requirements
Position Overview: Client is seeking an AI Engineer/Data Scientist who is experienced in applying AI/ML to solve real-world problems and has a proven track record of bringing AI applications to production. This individual should be comfortable working with technical complexity, building reusable AI/ML components and systems, and pioneering best practices to boost quality and productivity. Demonstrating a deep mastery of AI/ML, the candidate should be able to handle large technology teams and crucial product areas.
Required Qualifications:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
- 8+ years of experience in data science and data engineering roles.
- Strong proficiency in Python and major libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, etc.
- Proven experience in building and managing data pipelines using Docker, RabbitMQ, and SQLite.
- Familiarity with SQL and database management.
- Prompt Engineering, Data Engineering, knowledge of LLMs
- Strong problem-solving skills and the ability to work both independently and collaboratively.
Job Responsibilities
- Design and implement complex AI/ML algorithms to solve novel problems, with an emphasis on bringing these solutions to production.
- Advise on performance and resource utilization issues related to AI/ML.
- Regularly meet with Engineering and Product Management to project and define future AI requirements.
- Build complex predictive models to make observations and drive future strategic decision-making.
- Stay updated with developing AI/ML technologies, assess their applicability to our company, and suggest appropriate training and tools to management.
- Modify and improve code outside of the existing architecture patterns, aligning them with the relevant company and Product standards.
- Triage and debug production issues independently.
- Write automated unit and end-to-end tests to vet your code.
- Provide clear and actionable technical feedback to the team for pull requests and peer reviews.
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!