Mid Level AI/ML Software Engineer Jobs
Mid level ai/ml software engineer jobs go to engineers ready to own model development end to end, make architectural decisions with limited oversight, and mentor junior teammates. Roles are split across on-site, remote, and hybrid settings in Technology & Software, Banking & Financial Services, and Automotive, with General Motors, Amazon Web Services, and NVIDIA hiring at this level now.
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Business Consultant – AI/ML Engineer
Location: Atlanta/Chicago
Employment Type: Contract/Permanent
Role Summary
NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong hands-on experience with Python, machine learning frameworks, data processing, and cloud-based AI/ML services.
The role will collaborate with data scientists, data engineers, application developers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications.
Day to Day Job Duties
- Design, develop, train, and deploy Machine Learning models for enterprise use cases.
- Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
- Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
- Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
- Develop automated ML pipelines for model training, testing, deployment, and monitoring.
- Collaborate with Data Scientists, Data Engineers, and business teams to translate requirements into AI/ML solutions.
- Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
- Work with structured and unstructured datasets from multiple sources.
- Monitor production models and address model performance, drift, and data-quality issues.
- Participate in code reviews, technical design discussions, and Agile delivery activities.
Basic Qualifications
- 5+ years of experience in Python development, Data Science, or Machine Learning engineering.
- 3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- 3+ years of experience with data processing, feature engineering, SQL, and model development.
- 2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
Nice to Have
- Experience with Generative AI, Large Language Models (LLMs), and Agentic AI.
- Knowledge of RAG, embeddings, vector databases, and semantic search.
- Experience with LLM frameworks such as LangChain, LlamaIndex, or similar technologies.
- Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms.
- Knowledge of MLOps tools and model lifecycle management.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with Spark, Databricks, Snowflake, or other enterprise data platforms.
- Understanding of responsible AI, model governance, security, and data privacy.
- Experience developing AI solutions within Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60.00-$70.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
LI-NorthAmerica
Business Consultant – AI/ML Engineer
Location: Atlanta/Chicago
Employment Type: Contract/Permanent
Role Summary
NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong hands-on experience with Python, machine learning frameworks, data processing, and cloud-based AI/ML services.
The role will collaborate with data scientists, data engineers, application developers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications.
Day to Day Job Duties
- Design, develop, train, and deploy Machine Learning models for enterprise use cases.
- Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
- Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
- Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
- Develop automated ML pipelines for model training, testing, deployment, and monitoring.
- Collaborate with Data Scientists, Data Engineers, and business teams to translate requirements into AI/ML solutions.
- Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
- Work with structured and unstructured datasets from multiple sources.
- Monitor production models and address model performance, drift, and data-quality issues.
- Participate in code reviews, technical design discussions, and Agile delivery activities.
Basic Qualifications
- 5+ years of experience in Python development, Data Science, or Machine Learning engineering.
- 3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- 3+ years of experience with data processing, feature engineering, SQL, and model development.
- 2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
Nice to Have
- Experience with Generative AI, Large Language Models (LLMs), and Agentic AI.
- Knowledge of RAG, embeddings, vector databases, and semantic search.
- Experience with LLM frameworks such as LangChain, LlamaIndex, or similar technologies.
- Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms.
- Knowledge of MLOps tools and model lifecycle management.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with Spark, Databricks, Snowflake, or other enterprise data platforms.
- Understanding of responsible AI, model governance, security, and data privacy.
- Experience developing AI solutions within Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60.00-$70.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
LI-NorthAmerica
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Mid Level AI/ML Software Engineer Jobs: Frequently Asked Questions
How do I get a mid level ai/ml software engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you led the full model lifecycle, made design tradeoffs, or improved a production system in a measurable way. Mid level hiring managers want to see that you can operate independently, so frame your resume around decisions you drove, not just tasks you completed. A strong portfolio of shipped, real-world ML work matters as much as your title.
Which companies hire mid level ai/ml software engineers?
Companies hiring mid level ai/ml software engineers right now include General Motors, Amazon Web Services, and NVIDIA, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide mix of employers, including established tech firms building out core ML infrastructure, startups scaling their first production models, and large enterprises expanding applied AI teams.
Are there remote mid level ai/ml software engineer jobs?
Yes, remote work is well established at this level. About 44% of mid level ai/ml software engineer openings are remote or hybrid as of November 2026, reflecting strong demand for experienced engineers who can collaborate and deliver autonomously. Many employers offering remote roles still expect candidates to be reachable within U.S. time zones and available for occasional on-site collaboration.
How do I move up to a mid level ai/ml software engineer role?
Moving from entry level to mid level is about deepening both technical fluency and ownership. Build experience across the full ML pipeline, from data preparation and feature engineering to model deployment and monitoring. Seek out projects where you can lead a component end to end rather than just supporting a senior engineer. Demonstrating measurable impact, such as improved model accuracy or reduced latency in a production system, signals readiness for mid level responsibilities.
Which industries hire the most mid level ai/ml software engineers?
Mid Level ai/ml software engineer roles concentrate in Technology & Software, Banking & Financial Services, and Automotive, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in applied machine learning at the mid level because they need engineers who can move beyond prototyping and maintain, improve, and scale models already running in production.