The job in short
AI/ML engineering.
Machine learningGenAIData science
Details
- Found
- 21 d ago · posted 2026-06-24
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
Job Title: AI/ML Engineer
Job Code: CUB/2026/SSE/016
Experience: 3+ years
Job Location: Infopark, Kochi
Why Join Us?
• Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
• Career Growth: Opportunities for professional development and career advancement.
• Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
• Competitive Compensation: Attractive salary package and performance-based incentives.
Role Description
• Responsible for designing and developing machine learning systems or AI products.
• Implement appropriate ML algorithms and conduct experiments.
• Possess strong programming skills, knowledge of data science, and expertise in statistics.
• Work with data to create models, perform statistical analysis, and train and retrain models to optimize performance.
• Responsibilities include designing and constructing sophisticated machine learning models, as well as refining and updating existing systems.
• Aim to build efficient self-learning applications and contribute to advancements in artificial intelligence.
• Must possess exceptional skills in statistics and programming, along with a deep understanding of data science and software engineering principles to thrive in this position.
Skills
• Proven experience as an AI or Machine Learning Engineer or similar role (data science, GenAI).
• Passionate to work in Gen AI product development.
• Understanding of LLMs, Vector DBs, Prompt Engineering etc.
• Understanding of data structures, data modeling, and software architecture.
• Deep knowledge of math, probability, statistics, and algorithms.
• Ability to write robust code in Python, Java, and R.
• Experience in version control using Github/Gitlab
• Experience in working with cloud services like AWS/GCP/Azure.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Excellent communication skills and ability to work in a team.
• Outstanding analytical and problem-solving skills.
Soft Skills
• Excellent communication and teamwork abilities.
• Strong problem-solving and analytical skills.
• Attention to detail and quality
• Ability to work in cross-functional teams.
Qualifications
• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
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