Junior AI/ML Engineer

Kardee; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Kardee is seeking an AI/ML/NLP Engineer to join our team and advance AI-driven platforms. You will develop scalable ML solutions, train models, and integrate AI across the system architecture.

Ideal candidates have deep ML knowledge, experience with PyTorch or Keras, Python and R, and a track record of deploying AI in production. Chennai, India-based roles are expected to work on cutting-edge AI initiatives.

Qualifications

• Proven experience as a Machine Learning or AI Engineer.
• Strong foundation in math, statistics and ML algorithms.
• Proficient in Python and R with robust code quality.
• Experience deploying ML models and APIs in production.

Responsibilities

• Study and transform data science prototypes into scalable systems.
• Design ML pipelines and experiment with algorithms and tools.
• Develop ML applications per requirements and retrain models as needed.
• Train, test, deploy, and maintain AI systems and libraries.
• Collaborate with data scientists and engineers to integrate AI into the system.
• Document architecture and drive design discussions with leadership.

Skills

Machine Learning

Python

R programming

REST API

PyTorch

Keras

scikit-learn

Data structures

Algorithms

Education

Bachelor's degree in CS/Math/related field

Tools

Keras

PyTorch

scikit-learn

REST API

SQL/NoSQL databases

Job description

We are seeking an AI/ML/NLP Engineer to join our dynamic team and contribute to the development and enhancement of our AI-driven platforms. The ideal candidate will possess deep technical expertise in machine learning and artificial intelligence, with a proven track record of developing scalable AI solutions. Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning, artificial intelligence with NLP.

Responsibilities

• Study and transform data science prototypes
• Design machine learning systems, Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Develop machine learning models and AI solutions
• Test, deploy, and maintain AI systems
• Collaborate with data scientists and other engineers to integrate AI into broader system architectures
• Stay current with AI trends and suggest improvements to existing systems and workflows
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
• Manage a team in conducting assessments of the AI and automation market and competitor landscape
• Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation

Qualifications

• Proven experience as a Machine Learning Engineer or AI Engineer or similar role
• 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 REST API development, NoSQL database design, and RDBMS design and optimizations
• Experience in machine learning platforms, frameworks, and libraries
• Hands on experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

Required Skills/Must have skills:

• Hands on experience in data structures, algorithms, statistics, data modelling and software architecture.
• Work experience in python and R programming
• Work experience in databases like SQL, NoSQL & RDBMS
• Good hands on experience in Rest API, Gen AI
• Expertise in machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)