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.