What are the responsibilities and job description for the Sr. Machine Learning Engineer position at SHI GmbH?
Job Summary
We are seeking a highly skilled Senior Machine Learning Engineer to join our innovative team. This role is crucial in driving AI / ML adoption and integration within our organization. The ideal candidate will have a strong background in machine learning, software engineering, and data science, with a passion for solving complex problems and building scalable systems.
You will work in the development, deployment, and optimization of machine learning models, working closely with machine learning engineers, data engineers, software development engineers, and stakeholders. Your expertise in advanced analytics and AI / ML practices will enhance customer experience and business operations. Additionally, you will collaborate with business partners to explore innovation opportunities and shape cutting-edge applications.This role demands in-depth knowledge of AI / ML, business strategy, and change management, along with the ability to thrive in a multidisciplinary environment.
This position isrequiredto report to the SHI Austin,TXor Somerset, NJ office location asdeterminedby SHI management.
About Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $14 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 6,000 of them. If you join our team, you’ll enjoy :
Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive – in our offices or yours.
Responsibilities
Include but not limited to :
Lead initiatives to develop and execute a governance model for AI / ML and other analytics
Design, develop, and implement ML solutions; ensure familiarity with SageMaker, AWS Glue, Copilot, Chat GPT, and Open AI, and / or Microsoft AI technologies
Measure and communicate AI / ML impact on the business and drive continuous improvement
Analyze data and translate recommendations into actionable items for end users
Assess and monitor performance, ensuring systems remain compliant with standards and secure against cybersecurity threats
Lead complex, data-driven research projects impacting SHI’s business
Explore and execute analytical solutions for various problems
Acquire, analyze, and act on complex data sets; create ETL jobs; explore, inspect, and clean data; engineer features
Train, validate, test, deploy, and maintain machine learning models in production environments
Organize and lead meetings with stakeholders; collaborate with internal groups to achieve project goal
Stay updated on data science, statistics, machine learning, and AI developments
Ensure ML models are scalable, reliable, and efficient; integrate models with systems and platforms; optimize model performance
Document design specifications, processes, models, and systems for transparency and reproducibility
Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Engineering, Mathematics, or a related field
Minimum of 5 years of experience in machine learning, with exposure to software engineering best practices
2 years of direct experience using technologies like SageMaker, AWS Glue, Copilot, Chat GPT, or Open AI, and / or Microsoft AI technologies
Demonstrated experience in developing and deploying machine learning models in production environments
Deep understanding of machine learning algorithms, data structures, and software design principles
Required Skills
Proficiency in programming languages such as Python, Java, or C Extensive experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn
Solid understanding of software engineering principles, including version control (Git), testing, and CI / CD pipelines
Strong skills in data preprocessing, feature engineering, and data analysis using tools like Pandas and NumPy
Proficiency with platforms such as SageMaker, AWS Glue, Copilot, Chat GPT, and Open AI, and / or Microsoft AI technologies
Ability to learn and work with new ML models, and Large Language Models (LLMs)
Experience with cloud platforms such as AWS, GCP, or Azure for deploying and managing machine learning models
Expertise in designing and supporting AI and ML creation and delivery
Experience in analyzing business requirements, recommending and designing technical solutions
Ability to write detailed and concise technical and design specifications
Excellent analytical and problem-solving skills, capable of handling complex projects and delivering effective solutions
Proficient in system security best practices
Adaptability to changing priorities;can conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities
Strong ability to work independently or in a team-oriented, collaborative environment
Ability to take initiative and prioritize tasks, manage time, problem prevention, and problem-solving skills
Preferred Skills
Strong knowledge of Large Language Models (LLMs), including their architectures, training processes, and applications. Experience with popular LLM (Large Language Models) frameworks and tools such as GPT, BERT, or similar, and a deep understanding of fine-tuning techniques and deployment strategies
Experience with deep learning architectures and techniques
Familiarity with big data technologies such as Apache Spark, Hadoop, and Kafka
Strong system design skills and experience building large-scale distributed systems
Experience with containerization (Docker) and orchestration (Kubernetes)
Knowledge of specific domains such as natural language processing, computer vision, or recommendation systems
Strong project management and leadership skills
Unique Requirements
- Position requires up to 10% of travel as determined by SHI Management
Additional Information
The estimated annual pay range for this position is $130,000 - $180,000. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual.
Equal Employment Opportunity – M / F / Disability / Protected Veteran Status.
Refer a friend to this job ()
Need help finding the right job?
We can recommend jobs specifically for you!
Job Locations US-TX-Austin | US-NJ-Somerset
Requisition ID 2025-19133
Approved Min (Total Target Comp) USD $130,000.00 / Yr.
Approved Max (Total Target Comp) USD $180,000.00 / Yr.
Compensation Structure Flat Base
Category Information Technology
Salary : $130,000 - $180,000
