• Data lifecycle management for seamless source-to-destination data movement, next-gen analytics and AI integration.

          Advanced Data ETL, Reporting and Gen AI

          No-code data engineering
          Automated data transformation
          Enterprise-grade LLM
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          An automated data orchestration and pipeline management platform.

          An AI-powered, enterprise-ready Gen AI platform for internal teams.

          Healthcare Data Management

          Parsing engine and interactive mapper.

          Precision parsing, mapping, transformation & health data analytics.

        • Data lifecycle management for seamless source-to-destination data movement, next-gen analytics and AI integration.

          Advanced Data ETL, Reporting and Gen AI

          No-code data engineering
          Automated data transformation
          Enterprise-grade LLM

          Custom, integrated predictive layer.

          Automated data movement for faster time-to-insights.

          Consolidated data for improved accessibility.

          Structured data for reporting, analytics and model training.

        • Data lifecycle management for seamless source-to-destination data movement, next-gen analytics and AI integration.

          Advanced Data ETL, Reporting and Gen AI

          No-code data engineering
          Automated data transformation
          Enterprise-grade LLM

          Visual insights to help you optimize your data for analytics.

          Insider knowledge into proven methodologies and best data practices.

          Explore how businesses leveraged our data solutions to their advantage.

          Keep up with the latest trends to scale faster and outwit competition.

        • Data lifecycle management for seamless source-to-destination data movement, next-gen analytics and AI integration.

          Advanced Data ETL, Reporting and Gen AI

          No-code data engineering
          Automated data transformation
          Enterprise-grade LLM

          We are a bold team supporting bold leaders like you ready to adopt and migrate to new technologies.

          Discover the essence of our tech beliefs and explore the possibilities they offer your business.

          Unlock your business potential by leveraging Gen AI and capitalizing on rich datasets.

          Lead your business to new heights and scale effortlessly with expert guidance along the entire customer journey.

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Job Details

 Associate Software Engineer- ML

Full Time

Guwahati & Bangalore

Experience -

0-1 year

Positions -

5

CTC-

Best In Industry

Job Description

We are looking for an enthusiastic and motivated Machine Learning Engineer to assist in building and deploying machine learning models and data systems. This entry-level role is ideal for candidates eager to apply their technical skills to real-world problems and grow as part of a collaborative team.

Roles and Responsibilities

  • Assist in designing, training, and optimizing machine learning models.
  • Support the development of scalable data pipelines for ML workflows.
  • Perform exploratory data analysis and data preprocessing tasks.
  • Collaborate with senior engineers and data scientists to implement solutions.
  • Test and validate machine learning models for accuracy and efficiency.
  • Document workflows, processes, and key learnings..

Required Skills

Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field

Technical Skills:

  • Basic proficiency in Python and knowledge of libraries like NumPy, Pandas, Scikit-learn, Tensorflow.
  • Familiarity with SQL and basic data querying.
  • Understanding of foundational machine learning concepts and algorithms.
  • Exposure to cloud platforms (e.g., AWS, GCP, Azure) is a plus

Experience: 0-1 years of experience in data engineering or related fields.

Soft Skills:

  • Strong analytical skills and the ability to troubleshoot complex issues.
  • Leadership skills to guide junior team members and drive team success.

Preferred Skills/Qualifications

Education: Bachelor’s degree in Computer Science, Information Technology, or related field.

Technical Skills:

  • Fluent in Scikit-learn, Pytorch and Tensorflow.
  • Basic understanding of containerization tools like Docker.
  • Exposure to data visualization tools or frameworks.

Experience: 0-1 year

Key Performance Indicators:

  • Demonstrate progress in understanding and applying ML concepts.
  • Successfully assist in completing ML or data-related tasks within set timelines.

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