Mid Level ML Engineer

Position: Mid Level ML Engineer

Experience: 3 to 5 years

Education: BSCS in computer science

What You’ll Do

• Design, develop, and deploy scalable machine learning models and AI-driven solutions.
• Lead the development and automation of ML pipelines, ensuring efficiency and scalability from model training to inference.
• Optimize ML workflows, automating redundant tasks and streamlining deployment.
• Implement MLOps best practices, including model monitoring, versioning, and CI/CD for machine learning.
• Build and maintain cloud-based ML infrastructure, leveraging containerized platforms (Docker, AWS, Azure).
• Collaborate with cross-functional teams (data scientists, engineers, and business leaders) to align ML initiatives with business goals.
• Mentor junior engineers and support their professional growth.
• Stay up to date with AI advancements, researching and applying state-of-the-art ML techniques.

Who You Are

• 4+ years of experience in AI/ML development, with a strong focus on ML engineering and infrastructure.
• Expertise in deep learning frameworks, including Computer Vision (e.g. YOLO, Open-CV), NLP models (e.g., BERT, GPT), LLMs and traditional ML techniques.
• Proficiency in Python and ML libraries such as Pandas, Numpy, Scikit-learn, TensorFlow, and PyTorch.
• Strong understanding of data structures, algorithms, and scalable system design.
• Hands-on experience with containerized platforms (Docker, Kubernetes) and cloud environments (AWS, GCP, Azure).
• Experience with MLOps tools such as Weights & Biases, MLflow, LangChain, LangSmith, and similar platforms.
• Experience optimizing ML inference pipelines for performance and cost efficiency.

Nice-to-Have

• Experience with building and maintaining Retrieval-Augmented Generation (RAG) pipelines, leveraging vector databases and retrieval techniques to enhance LLM-powered applications.
• Familiarity with distributed computing and big data technologies.
• Contributions to open-source ML projects or research publications.

Why Join Levitate Data?

• Remote-first, flexible work environment—work where and when you’re most effective.
• Competitive compensation with performance-based incentives.
• Meaningful work—help build AI-powered solutions that make businesses smarter and more efficient.
• A culture of innovation—collaborate with top-tier engineers and data scientists to push the boundaries of what’s possible.

We encourage candidates of all backgrounds to apply. If you’re excited about this role but don’t meet every qualification, we’d still love to hear from you.

Job Type: Full-time

Application Question(s):

• Do you have an Experience with building and maintaining Retrieval-Augmented Generation (RAG) pipelines
• How many years of experience in deep learning frameworks, including Computer Vision (e.g. YOLO, Open-CV), NLP models (e.g., BERT, GPT), LLMs and traditional ML techniques.
• How many years of Proficiency in Python?
• How many years of experience in ML libraries such as Pandas, Numpy, Scikit-learn, TensorFlow, and PyTorch
• Do you have Hands-on experience with containerized platforms (Docker, Kubernetes)
• How many years of experience in cloud environments (AWS, GCP, Azure).
• Do you have an Experience with MLOps tools such as Weights & Biases, MLflow, LangChain, LangSmith, and similar platforms.

Education:

• Bachelor's (Required)

Experience:

• ML : 4 years (Required)

Work Location: Remote