Responsibilities
- Developing data pipelines to collect, process, and analyze diverse datasets at scale.
- Designing and implementing deep learning architectures capable of processing large volumes of data.
- Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement.
- Building and managing agentic workflows to support scalable and effective AI/ML solutions.
- Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness.
- Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.

Qualifications
- A bachelor’s, master’s, or PhD degree in computer science or a related field,



with at least 2–6 years of relevant experience.
- Experience training, building, and deploying large-scale deep learning models is required.
- Experience designing and implementing sequence and time-series models is required.
- Expertise in Python, with hands-on experience using deep learning frameworks such as PyTorch or TensorFlow.
- Experience with Git, CI/CD pipelines, and MLOps practices for automating model deployment and managing production machine learning workflows.
- Working knowledge of Linux, SQL, Git, and Bash scripting.

📌 Software Engineer 2 (Gurugram)
🏢 Talentoj
📍 Gurugram