AIML Engineer

Job Position - AI / ML Engineer

Experience Required - 1-3 Years

Job Type - FTE

Location - Hyderabad

Overview

AI/ML Engineer

Role and Responsibilities

• Design and implement machine learning models to address business needs and enhance product functionality.
• Clean, preprocess, and analyze large datasets, both structured and unstructured, to uncover meaningful patterns.
• Develop and deploy machine learning models for production environments, ensuring they are efficient, scalable, and maintainable.
• Collaborate with data scientists, engineers, and product teams to integrate AI solutions into the company’s products and services.
• Evaluate the performance of machine learning models and fine-tune parameters to optimize accuracy and efficiency.
• Assist in the development of AI-driven applications, including recommendation systems, predictive analytics, and natural language processing tools.
• Stay current with the latest trends and advancements in the field of AI/ML, and apply them to enhance our models and systems

Desired & Technical Skills

• 1-3 years of experience working with machine learning and AI technologies.
• Strong proficiency in Python and familiar with ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Experience working with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).
• Solid understanding of machine learning algorithms, data preprocessing, feature engineering, and model evaluation techniques.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and deploying ML models to production.
• Familiarity with version control systems like Git.
• Strong problem-solving skills and ability to analyze complex datasets.
• Ability to work collaboratively in a fast-paced, team-oriented environment.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Experience with deep learning, natural language processing (NLP), or computer vision.
• Knowledge of big data tools such as Hadoop or Spark is a plus.
• Experience with Docker, Kubernetes, or other containerization technologies.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.