Elevate Your Career

We are seeking a passionate AI/ML Engineer to design, develop, and deploy machine learning models that solve real-world problems. The ideal candidate will have strong skills in Python, deep learning frameworks, and MLOps tools, with a good understanding of data pipelines and model lifecycle management.

• Design and develop machine learning models and pipelines for classification, regression, and NLP/computer vision tasks.
• Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
• Implement and optimize models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Collaborate with data engineers to build scalable data pipelines.
• Deploy ML models into production using Docker, Kubernetes, or cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI).
• Monitor and improve model performance post-deployment (model drift detection, retraining).
• Work closely with software and product teams to translate business requirements into technical ML solutions.
• Document model architecture, experiments, and results.

• 3–5 years of experience in machine learning or data science.
• Proficiency in Python and ML libraries (NumPy, pandas, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistics, linear algebra, and optimization techniques.
• Hands-on experience in training, tuning, and evaluating ML/DL models.
• Familiarity with SQL/NoSQL databases and data pipelines.
• Experience with version control, CI/CD, and MLOps tools (MLflow, DVC, Kubeflow).
• Good understanding of API integration for serving models in production.
• Knowledge of cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI).
• Experience working in Agile/Scrum environments.

• Experience in NLP, computer vision, or time-series analysis.
• Knowledge of LLMs (e.g., OpenAI, Gemini, Hugging Face Transformers).
• Familiarity with data engineering tools (Airflow, Spark, Kafka).
• Experience with AutoML and model monitoring tools.
• Certifications in AI/ML, Data Science, or Cloud AI are an advantage.

• Competitive salary and growth-oriented career path.
• Access to GPU-powered environments and modern AI infrastructure.
• Continuous learning opportunities in AI, ML, and MLOps.
• Collaborative environment fostering innovation and creativity.