About the company:

Aptlogica Technologies is a Pune-based technology company delivering AI/ML, Generative and Agentic AI, product engineering and cloud solutions for enterprise clients, alongside its own learning-technology products.

About the role:

Build forecasting solutions on large datasets and combine predictive models with Generative AI reasoning to produce business insights, using time-series forecasting, distributed data processing, statistical modeling and Generative AI.

Key responsibilities:

- Build scalable data-processing pipelines with PySpark on Google Cloud Dataproc

- Perform feature engineering, time-window aggregation and KPI calculation in PySpark

- Conduct feature selection and feature-importance analysis

- Develop and optimise time-series forecasting models using ARIMA, SARIMA, SARIMAX and XGBoost

- Work with BigQuery and SQL-based datasets

- Integrate Gemini into analytics and AI workflows

- Develop LLM applications with LangChain and apply prompt engineering to produce contextual business insights

- Combine forecasting outputs with Generative AI reasoning

- Collaborate with business and engineering teams to move AI solutions into production

Required qualifications:

- 3 - 7 years of overall professional experience, including 1 - 3 years of directly relevant hands-on experience

- Strong Python, PySpark and PySpark ML skills, including experience with Google Cloud Dataproc

- Experience with scikit-learn, statistical modeling and time-series forecasting

- Hands-on knowledge of ARIMA, SARIMA, SARIMAX and XGBoost

- Experience with BigQuery, SQL and GCP data and AI services

- Understanding of LLMs, LangChain and prompt engineering

Preferred qualifications:

- Experience building production ML pipelines

- Experience with model monitoring and evaluation

- Experience combining Generative AI with predictive analytics

- Experience working with large-scale enterprise datasets

Interview process:

One interview round with Aptlogica, followed by one or two client interview rounds.

Openings:

2 positions | Location: PAN India (remote)