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Job Summary:

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.

Key Responsibilities:
  • 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.
Required Skills and Experience:
  • 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.
Preferred Qualifications:
  • 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.
What We Offer:
  • 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.

AI/ML Engineer

  • Minimum 3 years
    Relevant Experience
  • 3–5 years
    Overall Experience
  • Full-time (Working from Office)
    Work Type
  • Software Engineer
    Qualification
  • 2
    Job Openings
  • 15 October, 2025
    Job Posted

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