Senior AI Software Dev Engineer IRC269630

Description

We are looking for an experienced Senior ML/Back-End Engineer with a strong background in cloud architecture, AI/ML systems, and large-scale distributed applications. In this role, you will collaborate with data scientists, engineers, and business stakeholders to design, deploy, and manage production-grade AI/ML solutions that power mission-critical systems. You will be responsible for end-to-end architecture, development, and optimization of ML-enabled platforms, while leading key initiatives, mentoring team members, and driving best practices across the organization.

Requirements

MS or PhD in Computer Science or a related major
5 to 10 years industry experience as a Back End Engineer or ML Engineer or Research Engineer
Deep functional knowledge and hands on experience with the following technologies (or equivalent);
AWS or GCP cloud services, RESTful Web Services, Containerization (Docker, ECS, Kubernetes)
Familiarity with modern AI tools (LLMs, Embedding models, vector databases)
Experience with or familiarity with AI/ML Ops tools and platforms (e.g. AWS Bedrock, GCP Vertex AI
or Databricks)
Familiarity with basic Data Science concepts
Experience architecting and implementing large scale, highly integrated, distributed user-facing
applications and tools
Experience with version control tools (Git)
Capable of implementing a resilient web architecture
Experience building web products end to end with a deep understanding of web principles and best
practices
One or more of the following:
Experience building AI applications
Familiarity with Machine Learning and Deep Learning concepts

Familiarity/Experience with time series analysis

Advanced Data Science skills
Experience with time series analysis
Familiarity with financial datasets (such as Company Fundamentals, Options and Level2 market
data)
Experience with fine tuning ML/DL models
Ability to work a hybrid model, commuting 3 days a week to an office in Bangalore

Job responsibilities

Be part of an agile scrum team and demonstrate constant progress through proof of concept,
sandboxing and prototyping
Architect and design scalable, maintainable, secure and reusable strategic solutions
Deploy, monitor, and manage ML models in production environments using MLOps best practices
Work closely with data scientists to transition models from development to production efficiently.
Optimize ML models and infrastructure for efficiency, scalability, and cost-effectiveness.
Design and implement frameworks and tools that empower other developers and non-technical
colleagues across your entire team
Estimate timelines, perform task breakdown, scoping, design, implementation for mid-to-large scale
products and complex multi-month deliverables with insightful strategic approaches
Lead key team initiatives from start to finish by managing and improving the entire software
development life cycle
Seek opportunities in our day-to-day workflow and process to improve quality and efficiency from
initial ideation to deployment
Present and communicate across multiple groups to showcase progress, share knowledge and
evangelize best practices
Performing code reviews for your peers where they will learn from your experience and guidance
contributing to collaborative working models
Recommend approaches to solving complex problems and use new technologies to achieve goals
Own, deploy, monitor, and operate large-scale production systems distributed across the globe.
Lead and mentor junior engineers in the process of building production grade systems and
applications which scale and perform
Act as technical liaison to business teams to translate business needs to work streams and
technical solutions

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

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.