Software Engineer I – Data & AI Engineering (0-1 Years Exp)

Position Summary

This role is for an analytical fresher focused on managing data lifecycle, building scalable pipelines, and deploying foundational AI/ML models for client solutions. You will be instrumental in turning large, messy datasets into structured, production-ready assets used for business intelligence, predictive analytics, and process automation.

Work You’ll Do (Key Responsibilities)

• Data Pipeline Development: Implement, monitor, and optimize ETL/ELT data pipelines using Python/PySpark and SQL to move data between transactional systems and cloud data warehouses.
• Data Modeling: Assist in data warehousing activities, including schema design, modeling, and ensuring data quality across various client data sets.
• AI/ML Integration: Work with senior Data Scientists to prepare data sets for machine learning models and assist in the deployment or operationalization of simple models.
• Cloud Services: Utilize core cloud data services (e.g., AWS S3/Glue, Azure Data Factory, GCP BigQuery) for data storage, processing, and orchestration.
• Documentation: Maintain meticulous documentation of data sources, transformation logic, and pipeline metadata.

Technical Skills (Foundational)

• Languages: Strong proficiency in SQL and Python (for data processing and scripting).
• Concepts: Foundational knowledge of relational databases, data warehousing (e.g., Kimball methodology), and distributed processing concepts (Spark is a plus).
• Cloud: Familiarity with a major cloud platform’s data ecosystem (AWS, Azure, or GCP).
• Data & AI: Basic understanding of statistical methods, data cleaning, and the lifecycle of a machine learning model.

Required Qualifications

• Education: B.E./B.Tech/M.Tech/M.S. in Computer Science, Data Science, Information Technology, or a related quantitative field.
• Graduation Year: Must be a recent graduate (e.g., 2024 or 2025 batch) with zero to one year (0-1) of professional experience.
• Academic Record: Strong academic performance with a minimum aggregate GPA of 6.5/10 (or equivalent) is highly preferred.
• Projects: Demonstrated projects (academic or personal) involving large dataset manipulation, implementation of ETL workflows, or foundational machine learning models.

Work Details

• Work Location: Hyderabad, Telangana, India.
• Shift Timings: Primarily to support U.S. time zones: 11 AM to 8 PM IST or 2 PM to 11 PM IST.

Our People and Culture

Our culture is the engine of our accelerated global delivery, built on four foundational pillars: Empowered Ownership, Integrity, People First, Always, and a Commitment to Excellence. We empower our team to be decisive experts who take initiative, own the result, and operate with the highest level of trust and respect. By combining this value-driven mindset with our focus on operational and technical excellence, we ensure our professionals in Hyderabad are fully integrated with our global client teams, delivering the strategic execution and impactful results required for seamless expansion.

Our Purpose

Acceler8 GLOBAL’s purpose is to transform the complexity of global expansion, particularly into India, into a seamless, high-performing competitive advantage for our clients. We create trust and confidence in an increasingly regulated global environment by combining deep local expertise in compliant employment (Acceler8 EOR) and comprehensive operational oversight (Acceler8 EOR+). We are dedicated to delivering not just compliant payroll and HR, but the speed, quality assurance, performance management, and measurable project outcomes that accelerate our clients’ strategic goals in the Indian market.

Professional Development

We believe professional evolution is the key to maintaining market leadership. From entry-level to senior roles, we offer continuous learning pathways, advanced training in global employment, Indian statutory compliance, and project management/quality assurance, alongside leadership opportunities in cross-border operations. Professionals engage in formal certification training (e.g., EA/CPA support where relevant), on-the-job experience with market-leading EOR and global compliance software, and mentorship from global operations and talent leaders to ensure continuous career growth.