Ai Ml Engineer

Job Title: AI/ML Engineer

Experience:

Location:

Employment Type:

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Job Summary:

AI/ML Engineer

Key Responsibilities:

• Design, build, and deploy scalable ML/AI models to solve complex business problems.
• Collaborate with data scientists, data engineers, and software developers to integrate models into production environments.
• Apply supervised and unsupervised learning techniques, deep learning, NLP, and computer vision algorithms.
• Work with large, complex datasets and perform data cleaning, preprocessing, and feature engineering.
• Evaluate model performance using appropriate metrics and implement model improvement strategies.
• Maintain and monitor models in production and retrain as necessary.
• Stay current with the latest research and trends in AI/ML and apply them when appropriate.
• Document model design, processes, and performance results clearly for stakeholders
  

Required Skills & Qualifications:

• 4–10 years of experience in

  Machine Learning, Deep Learning, or AI engineering

  roles.
• Strong programming skills in

  Python

  (must-have), and familiarity with libraries like

  scikit-learn, TensorFlow, PyTorch, Keras, OpenCV, etc.

• Solid understanding of

  ML algorithms

  , model evaluation, and statistical methods.
• Experience with

  NLP

  ,

  computer vision

  , or

  recommendation systems

  is a plus.
• Proficiency in working with

  data processing tools

  (e.g., Pandas, NumPy) and

  data visualization

  tools (e.g., Matplotlib, Seaborn).
• Familiarity with

  cloud platforms

  like

  AWS, GCP, or Azure

  for model deployment.
• Hands-on experience with

  MLOps tools

  (MLflow, Kubeflow, Airflow) is a strong advantage.
• Exposure to

  Docker/Kubernetes

  for containerized deployments.
• Experience working with large-scale datasets and

  SQL/NoSQL

  databases.
• Strong problem-solving skills and ability to work in cross-functional teams.
  

Preferred Qualifications:

• Master’s or Ph.D. in Computer Science, Data Science, AI/ML, or a related field.
• Publications, contributions to open-source projects, or participation in ML competitions (e.g., Kaggle) are a plus.
  

Soft Skills:

• Excellent communication and presentation skills.
• Ability to explain complex ML concepts to non-technical stakeholders.
• Collaborative mindset with a strong sense of ownership

If you are interested, Kindly share your updated cv along with below details to thirumalesh.desineni@covasant.com

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Regards,

Thirumalesh Desineni

thirumalesh.desineni@covasant.com