AI & ML Engineer

Cubet Techno Labs; Ernakulam; Sur place; INR 800 000 - 1 200 000; Plein temps

Avantages offerts par ce poste

Innovative Environment

Career Growth

Collaborative Culture

Competitive Compensation

Résumé du poste

Cubet Techno Labs in Ernakulam, India is looking for a passionate AI/Machine Learning Engineer. This role involves designing machine learning systems and developing innovative AI products.

You will work with data to create models, implement ML algorithms, and contribute to advancements in artificial intelligence within a collaborative culture.

The ideal candidate has a Bachelor's degree and expertise in programming and data science. Competitive compensation along with opportunities for career growth are offered.

Qualifications

• Understanding of data structures, data modeling, and software architecture.
• Exceptional skills in statistics and programming.
• Experience with machine learning frameworks and libraries.

Responsabilités

• Design and develop machine learning systems and AI products.
• Implement ML algorithms and conduct experiments.
• Create models, perform statistical analysis, and optimize performance.

Connaissances

Proven experience as an AI or Machine Learning Engineer or similar role

Passionate to work in Gen AI product development

Understanding of LLMs, Vector DBs, Prompt Engineering

Deep knowledge of math, probability, statistics, and algorithms

Ability to write robust code in Python, Java, and R

Experience with cloud services like AWS/GCP/Azure

Familiarity with machine learning frameworks like Keras or PyTorch

Excellent communication skills

Outstanding analytical and problem-solving skills

Formation

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field

Outils

Version control using Github/Gitlab

Machine learning libraries like scikit-learn

Description du poste

• 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.