2 months ago
Remote, IndiaEntry Level
Responsibilities
- Research, design, implement, optimize, and deploy deep learning models for perception and control applications.
- Read and implement deep learning papers and adapt models and algorithms to internal use cases.
- Develop and maintain enterprise backend applications, APIs, and integrations with language models and NLP technologies.
- Train, fine-tune, benchmark, and optimize machine learning and open-source models, including large-scale distributed training.
- Optimize neural networks and preprocessing/postprocessing code for embedded-device execution.
- Gather, transform, process, and analyze large, complex datasets using advanced analytical methods.
- Build and iteratively prototype scalable data and analysis pipelines.
Requirements
- Be currently enrolled full time in an undergraduate computer science or related degree program and graduate by June next year.
- Maintain a GPA of at least 8.0; top JEE Advanced rankings and a consistently strong academic record are preferred.
- Have a strong interest in machine learning, NLP, generative AI, language understanding or generation, representation learning, systems programming, data engineering, data processing, streaming databases, or data visualization.
- Demonstrate strong coding skills and the ability to independently take on tasks.
- Have experience with SQL and programming languages such as Python, Cala, or R.
- Have experience with or familiarity with Python, PyTorch, TensorFlow, and Keras.
- Have experience with statistical methods such as linear models, multivariate analysis, stochastic processes, and sampling methods.
Benefits
- Six-month remote internship with full-time summer work and an average of 20–30 hours per week during the semester.
- Monthly stipend of Rs 65,000.
- Coaching and mentorship from accomplished leaders.
- Access to a broad professional network.
- Top-performing residents may meet the co-founders and team in the Bangalore office and receive full-time opportunities.
Categories
About Ema
Ema builds an agentic AI platform that delivers AI employees to automate HR, IT, and Finance workflows across existing enterprise systems. It sells to large organizations via enterprise software and implementation services, offering on-prem and air-gapped deployments and 1,000+ prebuilt integrations. Founded in 2023, it has deployments with Wipro and Hitachi.