Description:
Lead and manage a team of Python, AI/ML engineers and data scientists, fostering a culture of collaboration and innovation.
Engage in hands-on development to balance workload or address significant complexity through technical Proof of Concepts, build, test including non-functional areas like security, reliability and performance.
Oversee the design, development, and deployment of machine learning models and AI solutions using Python.
Ensure that technical designs meet functional, resilience, throughput, security, reuse and simplicity needs.
Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions.
Ensure best practices in software development, data management, and model deployment are followed.
Mentor team members, providing guidance on technical skills, career development, and project management.
Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application within the company.
Monitor project progress, manage timelines, and ensure successful delivery of projects on time and within budget.
Communicate project status, risks, and opportunities to stakeholders and senior management.
Act as a point of contact for TCO (total cost of ownership), managing and driving production defects & stability improvements to resolution.
Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest customer value.
Tailor processes to help manage time-sensitive issues and bring them to appropriate closure.
Requirements:
We are seeking an experienced Python and AI/ML Engineering Manager to lead our talented team of engineers and data scientists.
The Manager Engineer is responsible for driving the development and implementation of innovative AI/ML solutions, managing project timelines, and fostering a collaborative team environment.
The ideal candidate will have a strong technical background in Python and machine learning, combined with leadership experience as they are also accountable for executing the People Leader fundamentals in line with GL Policies and drive a learning-based culture.
Job Responsibilities:
- Lead and manage a team of Python, AI/ML engineers and data scientists, fostering a culture of collaboration and innovation.
- Engage in hands-on development to balance workload or address significant complexity through technical Proof of Concepts, build, test including non-functional areas like security, reliability and performance.
- Oversee the design, development, and deployment of machine learning models and AI solutions using Python.
- Ensure that technical designs meet functional, resilience, throughput, security, reuse and simplicity needs.
- Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions.
- Ensure best practices in software development, data management, and model deployment are followed.
- Mentor team members, providing guidance on technical skills, career development, and project management.
- Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application within the company.
- Monitor project progress, manage timelines, and ensure successful delivery of projects on time and within budget.
- Communicate project status, risks, and opportunities to stakeholders and senior management.
- Act as a point of contact for TCO (total cost of ownership), managing and driving production defects & stability improvements to resolution.
- Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest customer value.
- Tailor processes to help manage time-sensitive issues and bring them to appropriate closure.
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 is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.
