All openings
[Technology]
AIMLEngineer
RemoteFull-timeMidINR 400K – 600K
Apply for this rolePosted Jul 13, 2026
About the role
Job Title: AI ML Engineer
Experience Level: 2-4 years
Brief Overview of the Role
The AI ML Engineer will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems. This role requires a strong foundation in data science, programming, and machine learning techniques, along with the ability to collaborate with cross-functional teams to deliver innovative AI solutions.
Preferred Qualifications
- Master’s degree in a relevant field.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying machine learning models.
- Familiarity with big data technologies like Hadoop or Spark.
- Knowledge of software development practices, including version control and agile methodologies.
- Experience in natural language processing (NLP) or computer vision applications.
What the Company Offers
- Competitive salary and performance-based bonuses.
- Opportunities for professional development and continuous learning.
- Flexible work hours and the option for remote work.
- A collaborative and innovative work environment.
- Health, dental, and retirement benefits.
- Access to cutting-edge technology and tools in the AI and machine learning space.
- A diverse and inclusive workplace culture that values creativity and teamwork.
What you'll do
- Design, develop, and deploy machine learning models to enhance product features and improve user experience
- Collaborate with data scientists and software engineers to integrate machine learning algorithms into existing systems.
- Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality outputs.
- Monitor and maintain the performance of deployed models, making adjustments as necessary.
What we're looking for
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- 2-4 years of experience in machine learning, data analysis, or a related area.
- Proficiency in programming languages such as Python or R, and familiarity with libraries like TensorFlow, Keras, or PyTorch.
- Strong understanding of machine learning algorithms and statistical methods.
- Experience with data manipulation and analysis using tools like SQL, Pandas, or NumPy.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Strong communication skills to convey technical concepts to non-technical stakeholders.