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Artificial Intelligence/Machine Learning Engineer

KRIDENT TECHNOLOGY SOLUTIONS PRIVATE LIMITED
Multiple Locations
1 - 3 Years

Posted on: 07/08/2025

Job Description

Job Title : AI/ML Engineer (1-3 Years Experience)

Location : On-site / Remote


Job Type : Full-Time


Experience : 1 to 3 Years


Department : Technology / Data Science / R&D


Job Summary :


We are looking for a passionate and motivated AI/ML Engineer with 1 to 3 years of experience to join our growing team. The ideal candidate will have hands-on experience in building, training, and deploying machine learning models and a good understanding of core data science principles.


Key Responsibilities :


- Design, develop, and deploy machine learning models and AI solutions.

- Collaborate with data engineers and product teams to define problem statements and data requirements.

- Perform data preprocessing, feature engineering, and data analysis using Python.

- Train and fine-tune machine learning models using libraries such as scikit-learn, TensorFlow, PyTorch, or similar.

- Evaluate models using metrics like precision, recall, AUC, and accuracy.

- Deploy models in production using APIs (Flask, FastAPI) or cloud-based services (AWS/GCP/Azure).

- Continuously monitor, retrain, and improve model performance post-deployment.

- Document processes, models, and results for stakeholders and internal knowledge sharing.


Required Skills :


- Solid understanding of machine learning algorithms (classification, regression, clustering, etc.)

- Proficiency in Python (pandas, NumPy, scikit-learn, etc.)

- Familiarity with deep learning frameworks like TensorFlow or PyTorch

- Experience with SQL and data wrangling.

- Strong grasp of mathematics and statistics.

- Ability to work with large datasets, clean and prepare data.

- Experience with version control (Git) and Jupyter Notebooks.


Good to Have :


- Exposure to NLP, computer vision, or time-series analysis.

- Familiarity with MLOps tools (MLflow, Docker, CI/CD pipelines).

- Experience with cloud platforms (AWS Sagemaker, Google Vertex AI, Azure ML).

- Basic knowledge of model explainability (SHAP, LIME).

- Understanding of RESTful APIs and deployment strategies.


Soft Skills :


- Strong problem-solving and analytical skills.

- Excellent communication and teamwork abilities.

- Willingness to learn and adapt to new technologies.


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