
51 - 200 employees
🏥 Healthcare
🛡️ Insurance
💼 Consulting
Healthcare • Insurance • Consulting
Environmental Management Authority (EMA) is a company that specializes in offering advanced artificial intelligence solutions for business automation and enterprise productivity. Their flagship product, 'Ema', is a Universal AI Employee designed to boost productivity by learning, adapting, and evolving to fit various roles within an organization. With features like conversational AI configuration, a pre-built library of agents, and integration with numerous applications, EMA enables companies to streamline complex workflows efficiently. EMA emphasizes trust, security, and compliance, providing customizable private AI models with advanced data governance and top-tier encryption. The company services a range of sectors including healthcare insurance and fintech, making it a versatile choice for enhancing business operations across different industries.
🕒 September 4, 2025
🇮🇳 India – Remote
💵 ₹65k / month
⏱ Part Time
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
👻 Ghost score 48%
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51 - 200 employees
🏥 Healthcare
🛡️ Insurance
💼 Consulting
Healthcare • Insurance • Consulting
Environmental Management Authority (EMA) is a company that specializes in offering advanced artificial intelligence solutions for business automation and enterprise productivity. Their flagship product, 'Ema', is a Universal AI Employee designed to boost productivity by learning, adapting, and evolving to fit various roles within an organization. With features like conversational AI configuration, a pre-built library of agents, and integration with numerous applications, EMA enables companies to streamline complex workflows efficiently. EMA emphasizes trust, security, and compliance, providing customizable private AI models with advanced data governance and top-tier encryption. The company services a range of sectors including healthcare insurance and fintech, making it a versatile choice for enhancing business operations across different industries.
• Participate in a six-month remote AI/Data Resident internship applying machine learning and data engineering to scalable enterprise solutions • Research, design, implement, optimize, and deploy deep learning models • Read deep learning papers, implement models and algorithms, adapt them to the company’s setting, and improve internal metrics • Develop and maintain enterprise-level back-end applications and APIs • Integrate language models and NLP technologies • Train machine learning models • Develop algorithms for prompt engineering, model fine-tuning, open-source model training, and large-scale distributed training • Compare and benchmark model performance • Optimize neural networks and preprocessing/postprocessing code for embedded devices • Conduct data gathering, transformation, processing, and analysis • Work with large, complex datasets and apply advanced analytical methods • Build and iteratively prototype analysis pipelines to provide insights at scale • Work full time during the summer and approximately 20–30 hours per week during the semester
• Final-year undergraduate student in Computer Science or a related field, graduating by June next year • Currently enrolled in a full-time degree program • GPA of 8.0 or above • Strong coding skills • Strong interest in Machine Learning, Natural Language Processing, systems programming, data engineering, data processing frameworks, streaming databases, or data visualization • Experience with SQL and programming languages such as Python, Scala, or R • Experience with Python and familiarity with frameworks such as PyTorch, TensorFlow, or Keras • Experience with statistical methods including linear models, multivariate analysis, stochastic processes, and sampling methods • Top rankers in JEE Advanced and consistent high academic record preferred
• Monthly stipend of Rs 65,000 per month • Coaching and mentorship from highly accomplished leaders • Connections to a powerful and sought-after network of world leaders for future endeavors • Opportunity for top-performing residents to meet the co-founders and team in the Bangalore office • Top-performing residents may be awarded full-time positions at Ema
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