Role : Intermediate Data Scientist & Engineer

Job Type : Full-Time

Vision :

Our vision is to revolutionize the technological landscape by being a trusted partner to our customers, driven by our diverse expertise and innovative approach.

Mission :

To solve problems by innovation one customer at a time.

About us :

We are an innovative company that is geared towards delivering superior customer service and products. We have assembled a team of the brightest, most qualified, and experienced minds. Radiant takes pride in delivering world class services and solutions to all our customers while operating in a global landscape

Who we are?

We at Radiant Solutions provide software solutions for Banking, Insurance and similar domains with the help of our engineering team members, Software, AI Tool, Automation Tools and Consultants.

Work Culture : Hybrid

We work remotely (Working Environment) and from Co-Working Office Space as per the requirement. Looking for flexible team members who are willing to travel within and outside India Based on the Client's needs

How do we analyze employees and conduct operations?

Productivity :

- Regular assessment of individual and team productivity metrics.

- Utilization of performance data to identify strengths and areas for improvement.

Accountability for Work :

- Establishing clear expectations for tasks and projects.

- Regular monitoring of deliverables and outcomes.

- Encouraging a sense of ownership and responsibility among employees.

Self-Responsibility :

- Fostering a culture of self-motivation and initiative.

- Providing opportunities for employees to take ownership of their professional development.

Enjoying Work Life and Growing with Radiant :

- Creating a positive and engaging work environment.

- Offering continuous learning and development opportunities for career growth.

Team Work Capability :

- Evaluating collaboration and communication within teams.

- Encouraging a culture of cooperation and knowledge sharing.

Personal and Professional Life Balance :

- Promoting a healthy work-life balance.

- Offering flexible work arrangements and support for personal well-being.

Overview :

We are seeking a highly experienced professional who excels at both data science and data engineering. This hybrid senior role requires expertise in building scalable data infrastructures, designing ML pipelines, and delivering deep learning solutions

Experience : 3- 5 years of experience in Data Science and Data Engineering.

Roles & Responsibilities :

- Support the design and maintenance of data pipelines for ingestion, cleaning, and processing of structured and unstructured datasets.

- Work with biometric data systems (face, voice, fingerprint, iris) to perform CRUD operations and maintain dataset integrity.

- Develop, train, and validate machine learning and deep learning models using PyTorch and TensorFlow.

- Assist in building scalable data structures, ETL workflows, and cloud-based storage solutions.

- Conduct exploratory data analysis, feature preparation, and data quality checks.

- Collaborate with senior engineers and data scientists to deploy models into production environments.

- Implement basic CI/CD practices for data workflows and ML model delivery.

- Create clear documentation for datasets, pipelines, and model processes.

- Monitor and optimize data processes and model performance during testing and deployment.

- Adapt responsibilities as project and business requirements evolve.

- Roles and responsibilities are subject to change as per requirements from time to time.

Skills :

- Proficiency in Python and SQL for data manipulation and model development.

- Hands-on experience with PyTorch and TensorFlow for deep learning model building.

- Understanding of biometric data types and CRUD lifecycle management.

- Working knowledge of data engineering concepts (ETL, data transformation, pipelines).

- Familiarity with cloud platforms (AWS/Azure/GCP) and modern data tools.

- Experience with version control tools such as Git.

- Ability to interpret data, build models, and communicate findings clearly.

- Understanding of APIs, data structures, and integration workflows.

Additional Requirements :

- Strong problem-solving abilities and willingness to learn new tools and techniques.

- Ability to work independently on tasks while collaborating with cross-functional teams.

- Good communication and documentation skills.

- Capacity to manage timelines and deliver high-quality work in a dynamic environment.

Qualification : Bachelors degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.

Certifications :

- Beginner-to-intermediate certificates in TensorFlow or PyTorch.

- Cloud-based data or ML certifications (AWS, Azure, GCP).

- Certifications in data analysis, machine learning, or big data engineering.

Company Benefits :

- Hybrid Work Policy- (90% Work From Home)

- Leave : Medical, Casual, Calendar Holidays, Emergency Leaves, Parental Leaves, and Recreational holidays.

- Insurance : Medical

- Foreign work Opportunities.