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Job Description

Description

We are seeking an experienced AI/ML Engineer to join our dynamic team in India. The ideal candidate will have a solid background in machine learning and a passion for developing innovative AI solutions that drive business value.

Responsibilities

  • Design and implement machine learning models and algorithms.
  • Collaborate with data scientists and software engineers to integrate AI solutions into products.
  • Analyze large datasets to extract insights and improve model performance.
  • Optimize existing machine learning models for better accuracy and efficiency.
  • Stay updated with the latest trends and advancements in AI and machine learning technologies.

Skills and Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 3-5 years of experience in machine learning, deep learning, or data science.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).
  • Strong understanding of algorithms, data structures, and software development principles.
  • Familiarity with data processing tools (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying machine learning solutions.

More Info

Job Type:
Function:
Open to candidates from:
Indian

About Company

Saral Infotech Solution was established in INDIA in 2009 to carve its own space in the field of Software solutions, e-Learning and IT staffing solutions. Today SIS has emerged as a fastest growing IT Consulting and Web Services Company in India employing over 236 talented professionals worldwide providing quality services to Fortune 27 clientele.

Our drive for excellence, trust reposed by our clients and more importantly the commitment of our staff enables us to become a leading player in the IT segment. Our core services include Staff Augmentation, Software Services and Web Services.

Job ID: 144207453

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