Job Requirements
Job Title: Campus Placement Software Engineer
Location: Bangalore
About ConcertAI
ConcertAI is the leading provider of precision oncology solutions for biopharma and healthcare, leveraging the largest collection of research-grade Real-world Data and the only broadly deployed oncology-specific AI solutions. Our mission is to improve translational sciences; accelerate therapeutic clinical development; and provide new capabilities for post-approval studies to accelerate needed new medical innovations to patients and to improve patient outcomes.
ConcertAI has emerged as one of the highest growth technology companies in Real-world Data and AI, backed by industry leading private equity companies: SymphonyAI, Declaration Partners, Maverick Ventures, and Alliance|Bernstein.
Summary of the Role
Join our dynamic team as a Campus Placement Software Engineer and kick-start your career in a vibrant, innovative environment. You'll be an integral part of our team, contributing fresh ideas and technical expertise to drive our projects forward.
Key responsibility
Software Development: Design, code, test, and debug GenAI based software applications in various software languages.- Collaboration: Work closely with cross-functional teams to gather requirements, understand project scopes, and deliver high-quality solutions.
- Problem-Solving: Analyze and resolve technical issues in software applications, proposing creative solutions when needed.
- Code Reviews: Conduct and participate in code reviews to ensure code quality and adherence to coding standards.
- Documentation: Prepare technical documentation and reports as necessary for projects and processes.
- Adaptability: Keep updated with emerging technologies and industry trends, integrating them into ongoing projects.
Experience requirmeents
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.- Backend Engineer - Proficiency in programming languages such as Java, Python (preferred), SQL or others relevant to software development along with expose of LLM models and their use cases.
- Data Engineer - Exposure to big data processing techniques including Spark, Hadoop, SQL etc.
- Data Science - Proficiency in programming languages such as Python, R, or others used in data analysis, LLM and machine learning along with strong understanding of statistical analysis, and data manipulation techniques.
- DevOps Engineer - Familiarity with cloud platforms (AWS, Azure, GCP) and Python scripting; advantageous experience in containerization tech (e.g., Docker, Kubernetes) and their integration into CI/CD pipelines. Some exposure of NVIDIA GPU based systems are preferred.
- Experience in building Search Analytics, preferably using Elastic Search.
- Familiarity with modern machine learning techniques.
- Bonus: Experience with Docker and GitHub for deployment.
- Strong problem-solving skills and a logical approach to tackling challenges.
- Understanding of software development methodologies and best practices.
- Excellent communication skills and ability to work collaboratively in a team environment.
- Prior internship or project experience in software development is a plus.
Benefits:
Competitive compensation package.- Mentorship opportunities with seasoned professionals.
- Continuous learning and development programs.
- Vibrant and collaborative work culture.
- Opportunities for growth and career advancement.
