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Data AI Model | ScaleneWorks INC

full-time
Posted on June 6, 2025

Job Description

Data AI Model

Job Summary

The Data AI Model role, titled Machine Learning Engineer and positioned as a Senior Systems Engineer, is designed for a skilled professional with 3-8 years of experience in software development and engineering. This role focuses on developing, deploying, and maintaining machine learning models, particularly in natural language processing (NLP), to support the organization's data-driven initiatives. The position contributes to advancing the company's AI capabilities and improving automated processes within a hybrid work environment based in Bangalore.

Responsibilities

  • Develop and implement machine learning models using programming languages such as Python and R.
  • Utilize machine learning frameworks including scikit-learn, TensorFlow, PyTorch, or Keras for model development.
  • Apply NLP libraries like NLTK, spaCy, or Stanford CoreNLP to process and analyze textual data.
  • Perform data analysis and visualization using tools such as Pandas, NumPy, Matplotlib, or Seaborn.
  • Deploy and maintain machine learning models on cloud platforms such as AWS, Azure, or Google Cloud.
  • Collaborate with cross-functional teams, manage automated process development, and support ticketing and auditing systems.

Qualifications

  • Bachelor’s degree in Computer Science or a related field; higher education preferred.
  • Minimum of 3 years of relevant experience in machine learning, NLP, or related fields.
  • Proficiency in programming languages: Python and R.
  • Experience with machine learning frameworks: scikit-learn, TensorFlow, PyTorch, or Keras.
  • Familiarity with NLP libraries: NLTK, spaCy, or Stanford CoreNLP.
  • Skilled in data analysis and visualization tools: Pandas, NumPy, Matplotlib, or Seaborn.
  • Experience with cloud-based platforms: AWS, Azure, or Google Cloud.
  • Strong communication, collaboration, problem-solving skills, and attention to detail.

Preferred Skills

  • Experience with containerization technologies such as Docker and Kubernetes.
  • Knowledge of DevOps practices including Agile development, continuous integration, and continuous deployment.
  • Understanding of IT service management frameworks like ITIL or COBIT.
  • Relevant certifications such as Certified Data Scientist or Certified Machine Learning Engineer.

Experience

  • 3 to 8 years of experience in software development or engineering roles focused on machine learning and AI.
  • Proven experience in automated process development, deployment, and maintenance.
  • Familiarity with ticketing systems and auditing processes is advantageous.

Environment

  • Full-time employment with a hybrid work mode.
  • Work shift from 12:30 AM IST to 9:30 PM IST.
  • Primary work location in Bangalore, India.
  • Dynamic and fast-paced work environment requiring adaptability to changing requirements.

Salary

  • Estimated salary: ₹2,875,000 INR per annum.

Benefits

  • Not specified.
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