AI/ML Expert IRC274716

Description

Required:

Expert-level proficiency in Python. Strong understanding of its ecosystem for
data science and machine learning (e.g., NumPy, Pandas, Scikit-learn, Matplotlib,
Seaborn).

Preferred:

Experience with other languages relevant to data engineering or deployment
(e.g., Python, Node.js, React.js, Java – to some extent).

AI/ML Frameworks and Libraries:

o Required:

Deep understanding and practical experience with at least one major deep
learning framework (e.g., TensorFlow, PyTorch)
Solid understanding and practical experience with classical machine learning
algorithms and Predictive Analytics.

Requirements

Summary of the position: This position is responsible for the design, build, and deploy machine
learning models, focusing on the practical implementation of Al solutions, including data preparation,
model training, deployment, and ongoing maintenance and optimization.

Qualifications:

Technical Skills:

Programming Languages:

Required:

Expert-level proficiency in Python. Strong understanding of its ecosystem for
data science and machine learning (e.g., NumPy, Pandas, Scikit-learn, Matplotlib,
Seaborn).

Preferred:

Experience with other languages relevant to data engineering or deployment
(e.g., Python, Node.js, React.js, Java – to some extent).

AI/ML Frameworks and Libraries:

o Required:

Deep understanding and practical experience with at least one major deep
learning framework (e.g., TensorFlow, PyTorch)
Solid understanding and practical experience with classical machine learning
algorithms and Predictive Analytics.

Preferred:

Experience with libraries for Natural Language Processing (NLP) (e.g., NLTК,
SpaCy, Transformers library from Hugging Face) and computer vision (e.g., OpenCV,
Pillow).

Generative Al:

o Required:

Experience with developing and deploying generative Al models using services
like AWS Bedrock (e.g., for text generation, image generation, embeddings,
Function Calling, Al Agents, MCP Server, LLMs like OpenAl).
Understanding of prompt engineering techniques for large language models.

Software Development Practices:

o Required:

• Proficiency in writing clean, well-documented, and testable code.
• Experience with version control systems (e.g., Git).

Preferred:

Understanding of software development methodologies (e.g., Agile, Scrum).

Education:

Bachelor’s degree in related field like Computer Science, Engineering, or Data Science.

Professional experience:

Candidates should have Total of 5-7 year of Experience 
Worked in 3 to 4 AI/ML  projects and should be involved in design, develop &
deploying learning models and systems. Designed and implemented a scalable machine learning pipeline
for systems that deals with huge volumes of data. Like FedEx or 911 systems

Job responsibilities

Duties and responsibilities:

Model Development:

o Design and develop machine learning systems and models.
o Research and implement appropriate machine learning algorithms and tools.
o Select and prepare datasets for training and testing.
о Train and retrain models as needed.
Data Handling:
Ο Analyze and preprocess data for model training.
o Build and maintain data pipelines for efficient data flow.
이 Identify and address data quality issues.
Deployment and Monitoring:
o Deploy models to production environments.
o Monitor model performance and identify areas for improvement.
o Manage and maintain deployed models.
o Evaluate potential risks of AI/ML use cases and implement appropriate safeguards.
Collaboration and Communication:
o Work with data scientists, software engineers, and other stakeholders.
o Communicate technical findings and recommendations clearly.
o Understand business needs and translate them into technical solutions.
Infrastructure and Tools:
o Build and maintain the infrastructure required for machine learning model deployment.
o Stay up-to-date with the latest machine learning tools and technologies.
Problem-Solving:
o Identify and solve technical challenges related to machine learning model development
and deployment.
o Analyze model errors and design strategies to overcome them.
Ethical Considerations: Ensure that AI/ML systems are developed and deployed responsibly and
ethically.

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.