What are the responsibilities and job description for the AI/ML/LLM and MLOPS Lead Engineer position at Tekfortune Inc?
Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.
Role : AI / ML / LLM and MLOPS Lead Engineer
Location : Remote (Preferred from Texas)
Duration : 6 Months
Job Description : Job Summary
The Senior Developer will be responsible for developing software applications using c and python in compliance with DO 178B standards. The primary objective is to ensure high-quality, reliable, and secure software for the aviation industry. (1.) Key Responsibilities
1. Develop software applications using c and python while adhering to do 178b standards.
2. Collaborate with the team to develop, and test software solutions for aviation systems.
3. Participate in code reviews, debugging, and troubleshooting to ensure software functionality.
4. Ensure compliance with safety critical standards and regulations in the aviation domain.
5. Document and maintain software functionality, specifications, and testing procedures.
Skill Requirements
1. Proficiency in c programming language for software development.
2. Strong knowledge of python programming for scripting and application development.
3. Familiarity with do 178b standard for software development in the aviation industry.
4. Good problem-solving skills and attention to detail.
5. Ability to work in a team environment and communicate effectively.
6. Experience with software testing and debugging methodologies.
The candidate will support the development, deployment, and maintenance of machine learning pipelines, AI-powered applications, and self-hosted large language model (LLM) inferencing infrastructure.
The team will take proof-of-concepts and prototypes developed by client engineers and scale them into production-grade systems, adhering to best practices in software development, MLOps, and cloud infrastructure management.
Technology stack that team will be working on (MLOPS, ICEberg, AWS and front end Lightweight NextJS are important)
Tech stack details : -
- Backend : Python (Django, FastAPI)
- Unit / integration testing (pytest)
- Asynchronous job scheduling (Celery)
- Adherence to PEP8 and PEP257 coding standards
- Frontend : ReactJS (Next.js)
- Machine Learning :
- Python ML & DS ecosystem (PyTorch, XGBoost, scikit-learn, pandas, numpy)
- Model interpretability & explainability frameworks (SHAP)
- ML pipelines & workflow automation (MLflow, Airflow)
- Infrastructure : AWS (EC2, S3, EKS, SageMaker)
- Infrastructure as Code (IaC) using Terraform and Ansible
- Proper IAM role-based access controls
- Network security best practices (VPC, security groups, private subnets)
- MLOps :
- Model training, monitoring, & deployment (MLflow, AWS SageMaker, AWS Airflow)
- Data labeling & versioning (Label Studio, DVC
- CI / CD & Monitoring :
- Automated linting, test & deployment : Jenkins
- Telemetry & Monitoring : Prometheus, Grafana, AWS CloudWatch
- Containerization & Orchestration : Docker, Kubernetes, Helm
- Additional technologies as needed
For more information and other jobs available please contact our recruitment team at careers@tekfortune.com. To view all the jobs available in the USA and Asia please visit our website at
