仕事No.
IRC257851
Published on 11 March 2025

Sr MLOps Engineer IRC257851

役職

Consultant

職種

Engineering

経験

5-10 years

勤務地

India - Noida

スキル

Cloud(Azure/AWS/GCP), Machine Learning, NLP, PL/SQL, Python, Tensorflow

Work Model

Hybrid

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職種概要

Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements.

必要条件

Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Data Science, Engineering, or a related field.
6+ years of experience in machine learning engineering or data science with a focus on building, deploying, and maintaining machine learning systems.
Strong proficiency in programming languages such as Python, R, or Java.
Extensive experience with ML frameworks such as Scikit-learn, TensorFlow, or similar.
Experience with NLP, RAGs, Agentic frameworks,or other advanced ML techniques.
Strong understanding of data structures, algorithms, and software engineering principles.
Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying ML models and managing infrastructure.
Proficiency in SQL and working with large datasets (e.g., in relational databases, NoSQL systems) .
Knowledge of model deployment, monitoring, and optimization in a production environment.
Excellent problem-solving skills, analytical thinking, and attention to detail.
Strong communication skills, with the ability to explain complex ML concepts to non-technical stakeholders.

Preferred Qualifications:
Experience with Snowflake
Familiarity with MLOps tools and practices for automating and managing ML workflows.
Knowledge of data privacy regulations (e.g., GDPR) and best practices for handling sensitive data.
Contributions to the open-source community or publications in relevant journals.

職務内容

About Role:
As a Senior ML Engineer, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models and algorithms that drive innovation in our products. You will work closely with data scientists, software engineers, and product teams to ensure our ML solutions deliver value and meet business needs.

Key Responsibilities:
Design, implement, and deploy machine learning models and solutions that address business problems and enhance products and services.
Collaborate with data scientists and engineers to develop scalable data pipelines, optimize algorithms, and manage data workflows.
Analyze large, complex datasets and build predictive models and systems that improve business processes and decision-making.
Research and apply advanced machine learning techniques, such as deep learning, reinforcement learning, natural language processing, and computer vision, depending on the project needs.
Optimize the performance of ML models, ensuring they are efficient and meet performance requirements in terms of speed and accuracy.
Integrate ML models into production environments and ensure that they work seamlessly with other parts of the tech stack.
Work with cross-functional teams to define project requirements, provide technical guidance, and ensure alignment between ML solutions and business objectives.
Mentor junior team members and share knowledge to foster continuous learning and development within the team.
Stay up to date with the latest trends in machine learning, artificial intelligence, and related fields, applying new techniques and approaches to drive innovation.

私たちが提供するもの

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.

GlobalLogicについて

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.

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The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive.

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