The salary range for this position is Rs 1000000 - Rs 3000000 (INR 10-30 LPA).
A minimum of 2 years of professional experience is required.
This is a full-time job.
The company is looking for a passionate and skilled AI/ML Engineer with at least 2+ years of experience in developing and deploying machine learning models.
The role involves working closely with product, engineering, and data science teams to design, implement, and optimize AI/ML solutions that drive real-world business impact.
The ideal candidate should have hands-on experience with machine learning frameworks, data preprocessing, and model deployment, along with strong problem-solving and coding skills.
This position offers an exciting opportunity to leverage AI, deep learning, and data-driven insights to solve complex challenges and contribute to the development of cutting-edge products and platforms.
Requirements:
A minimum of 2+ years of experience in AI/ML engineering or applied machine learning roles is required.
Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and Keras is necessary.
Experience with data processing tools like Pandas, NumPy, and Spark is required.
A good understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling is essential.
Experience in NLP or Computer Vision projects is considered a strong plus.
Familiarity with cloud platforms (AWS, GCP, Azure) and ML services is required.
Knowledge of containerization (Docker, Kubernetes) and deployment practices is necessary.
Experience with REST APIs for model serving and integration is required.
Familiarity with version control systems (Git) and CI/CD pipelines is necessary.
Strong analytical thinking, problem-solving skills, and the ability to work in fast-paced environments are essential.
Benefits:
The position offers a competitive salary range of Rs 1000000 - Rs 3000000 (INR 10-30 LPA).
The role provides an opportunity to work on cutting-edge AI/ML solutions that have a real-world business impact.
Employees will have the chance to collaborate with cross-functional teams, enhancing their professional development.
The position allows for continuous learning and staying updated with the latest trends in AI/ML, deep learning, and data science.
There is potential for career growth and advancement within the company.