🏢 Company Overview:
SciSpace is a leading AI-driven research and technology platform that empowers scientists, researchers, and organizations to accelerate innovation through intelligent data processing, automation, and collaboration tools. The company focuses on building scalable AI and ML-based solutions to simplify complex workflows in the research and publishing ecosystem.
💼 Job Details:
- Employment type: Full Time
- Experience: 3 to 5 Years
- Salary: ₹35,000 – ₹55,000 monthly
- Location: Remote
- Work timing: 8:45 AM to 5:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
SciSpace is looking for a passionate and skilled Software Engineer specializing in AI and Machine Learning to design and develop advanced algorithms and systems that power next-generation research tools. The candidate will be responsible for building machine learning models, deploying AI pipelines, and integrating them into scalable production systems that impact millions of users globally.
🔑 Key Responsibilities:
- Design, develop, and deploy machine learning and deep learning models for research-related applications.
- Work closely with data scientists and engineers to preprocess, analyze, and transform large datasets.
- Implement scalable AI pipelines using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Optimize model performance and accuracy for real-world deployment.
- Collaborate with cross-functional teams to integrate AI features into SciSpace’s core platform.
- Stay updated on the latest trends and advancements in artificial intelligence and machine learning.
- Conduct experiments, analyze results, and document methodologies for continuous improvement.
🛠️ Required Skills & Qualifications:
- Strong programming skills in Python, Java, or C++.
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).
- Proficiency in data processing using NumPy, Pandas, and SQL.
- Experience with natural language processing (NLP), computer vision, or recommendation systems is a plus.
- Knowledge of cloud-based deployment (AWS, GCP, or Azure).
- Strong understanding of algorithms, data structures, and software engineering principles.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
🌟 Benefits:
- Work on cutting-edge AI and ML technologies impacting global research.
- Collaborative and innovation-driven environment.
- Opportunity to publish, experiment, and contribute to open-source AI initiatives.
- Flexible work arrangements (remote/hybrid).
- Learning and development support for professional growth.
