Ascendum Solutions

https://ascendum.com

Founded

Type

Size

Stage

About

Ascendum is a global information technology (IT) solutions company that accelerates innovative technology-inspired solutions to business-driven challenges. Ascendum's hands-on teams help ideate, create, develop, implement and evolve our clients' customer and employee experiences. Having delivered more than 600 digital solutions, the firm pairs data engineering and design thinking to deliver end-to-end digital solutions. Ascendum's talented global team of technology strategists, designers, developers and data engineers create cutting-edge technologies that continually evolve and improve our clients' transformation strategies. Ascendum is MBE certified and is a portfolio company of Vora Ventures. Ascendum has worldwide offices in the U.S., India, UK, and Australia. For more information, visit https://www.Ascendum.com. Ascendum Solutions LLC is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and internship. Ascendum Solutions LLC makes hiring decisions based solely on qualifications, merit, and business needs at the time. Furthermore, the Company will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship.

Jobs at Ascendum Solutions

Senior AI Engineer

at Ascendum Solutions

Agency job

via TIGI HR Solution Pvt. Ltd. by Vaidehi Sarkar

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Ahmedabad

4 - 8 yrs

₹15L - ₹15L / yr

Artificial Intelligence (AI)

Generative AI

TensorFlow

PyTorch

Scikit-Learn

+7 more

Exp: 4 to 8 Years

CTC: up to 40 LPA

Mandatory Criteria

5–7 years of hands-on experience in building and deploying AI solutions, ideally in fintech or financial services.
Strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc.
Experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications.
Solid understanding of MLOps concepts – model versioning, deployment, monitoring.
Experience working with cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI).
Familiarity with Docker, Kubernetes, or other containerization tools for model deployment is a plus.
Comfortable working with large-scale structured and unstructured datasets. Experience with LLMs or generative AI for fintech-specific use cases.
Exposure to RegTech, risk modeling, or algorithmic trading.
Publications, GitHub contributions, or Kaggle competitions.
Familiarity with SQL/NoSQL databases and data pipelines (e.g., Airflow, Spark, etc.).

If interested kindly share your updated resume on 82008 31681

Exp: 4 to 8 Years

CTC: up to 40 LPA

Mandatory Criteria

5–7 years of hands-on experience in building and deploying AI solutions, ideally in fintech or financial services.
Strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc.
Experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications.
Solid understanding of MLOps concepts – model versioning, deployment, monitoring.
Experience working with cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI).
Familiarity with Docker, Kubernetes, or other containerization tools for model deployment is a plus.
Comfortable working with large-scale structured and unstructured datasets. Experience with LLMs or generative AI for fintech-specific use cases.
Exposure to RegTech, risk modeling, or algorithmic trading.
Publications, GitHub contributions, or Kaggle competitions.
Familiarity with SQL/NoSQL databases and data pipelines (e.g., Airflow, Spark, etc.).

If interested kindly share your updated resume on 82008 31681

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