Data Scientist

4 weeks ago

bangalore, India Numeric Technologies Full time
Greetings from Numeric Technologies
Who are we?
Numeric, incorporated in 1996 is a worldwide Business & Information Technology, Consulting and Services company. Headquartered in Chicago, IL with additional offices in Miami, Silicon Valley, Luxembourg, UK as well as delivery centers in India to serve our customers on and offshore needs.
We at Numeric Technologies pride ourselves for providing our customers with the best services and solutions. We believe that the right people in the right time and the right position are the key to our company’s improvement; we continue to Endeavour and develop our company through our corporate culture and values.
Data Scientist -II /Data Scientist - III
Location – Bangalore (Hybrid Model)
Experience Level –
3 to 5 Years
5 to 7 Years
Notice Period - Maximum 15 Days or Immediate Joiner
Work Experience -: Relevant 3+ years / 4+ years of relevant experience.
Job Responsibilities:
· Developing AI/ML algorithms to analyze huge volumes of historical data to make predictions and recommendations.
· Implement and optimize deep learning models for generative tasks such as image synthesis, voice etc.
· Collaborate with software engineers to integrate Generative AI models into production systems.
· Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms and rank them according to success likelihood.
· Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution.
· Should be able to work on structured as well as unstructured data.
· Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
· Should be able to leverage cloud platforms for training and deploying large scale solutions (AWS Preferred).
· Should have working knowledge on managing ModelOps framework.
· Should understand CI/CD processes in product deployment and used it in delivery.
· Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy.
· Should be able to take complete ownership of the assigned project.
· Experience of working in Agile environments.
· Well versed with JIRA or equivalent project tracking tool".
Competencies / Skills:
· Understanding of AI/ML frameworks, LLM libraries, data structures, data modeling, and software architecture.
· Proficiency with a deep learning framework such as TensorFlow, Keras, NLP and text analytics and ML algorithms like clustering, regression, classification etc.
· Proficiency with Python and basic libraries for machine learning such as scikit-learn, pandas.
· Experience working with recommendation engines, data pipelines and distributed machine learning.
· Ability to select hardware to run an ML model with the required latency.
· Knowledge of cloud platforms (AWS, Azure and GCP).
Great communication and collaboration skills."
Primary Skills
Python, AI/ML, Snowflake
If you’re interested, please get in touch at
We’d love to hear from you.

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