Job Code - DEVMLL2022
Mid-Level AI/ML Engineer
At Periscope Technologies, we design and build intelligent, data-driven solutions that empower businesses to make smarter decisions and automate complex processes. Our AI and Machine Learning team plays a key role in shaping the future of technology-driven innovation for our global clients. We’re looking for a Mid-Level AI/ML Engineer who is passionate about creating scalable, production-ready models and leveraging data to drive measurable outcomes.
Responsibilities
- Design, develop, and deploy machine learning models and AI-driven applications.
- Collaborate with data engineers and software developers to build end-to-end ML pipelines
- Perform data exploration, cleaning, and feature engineering on large, complex datasets.
- Evaluate model performance, tune hyperparameters, and apply appropriate validation techniques.
- Deploy models to production environments using frameworks like TensorFlow Serving, Torch Serve, or Fast API.
- Stay current with advancements in AI/ML frameworks, libraries, and best practices.
- Document workflows, communicate findings clearly, and contribute to internal knowledge sharing.
Qualifications
- Bachelor's or master's degree in computer science, Data Science, Applied Mathematics, or related technical field.
- 4–6 years of experience in developing and deploying ML/AI models in production.
- Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Proficiency in data manipulation and analysis using Pandas, NumPy, and SQL.
- Understanding of model evaluation, overfitting prevention, and data versioning concepts.
- Experience working in Agile environments and collaborating with cross-functional engineering teams.
Nice to Have
- Experience with cloud ML services (AWS SageMaker, GCP Vertex AI, Azure ML).
- Familiarity with NLP, Computer Vision, or Generative AI frameworks.
- Exposure to MLOps practices and CI/CD for ML model deployment.
- Knowledge of Docker, Kubernetes, and distributed computing frameworks (Spark, Ray).
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6+ years of experience required.
Full-time position, remote work options possible.