Job Description

###

About Alphanext

Alphanext is a global talent solutions company with offices in London, Pune, and Indore. We connect top-tier technical talent with forward-thinking organizations to drive innovation and transformation through technology.


###

Position Summary

Alphanext is hiring an

AI Data Scientist

with deep expertise in machine learning, deep learning, and statistical modeling. This role requires end-to-end experience in designing, developing, and deploying AI solutions in production environments. Ideal candidates will bring a strong analytical foundation, hands-on technical capability in Python/SQL, and a passion for solving complex business problems using AI.


###

Key Responsibilities

Research, design, and implement advanced machine learning and deep learning models for predictive and generative AI use cases. Apply statistical methods to ensure model interpretability, robustness, and reproducibility. Conduct large-scale data analysis to uncover trends, patterns, and opportunities for AI-based automation. Collaborate with ML engineers to validate, train, optimize, and deploy AI models into production environments. Continuously improve model performance using techniques such as hyperparameter tuning, feature engineering, and ensemble methods. Keep up to date with the latest advancements in AI, deep learning, and statistical modeling to propose innovative solutions. Translate complex analytical outputs into clear insights for both technical and non-technical stakeholders.
###

Required Skills

4+ years of experience in machine learning and deep learning with a focus on model development, optimization, and deployment. Strong programming skills in

Python

and

SQL

. Proven experience in developing and applying mathematical/statistical models for business applications. Proficiency in data visualization tools such as

Power BI

. Hands-on experience in at least one of the following domains: finance, trading, biomedical modeling, image-based AI, or recommender systems. Strong understanding of statistical theory and modern AI algorithms. Excellent communication skills and the ability to explain complex models in a simple, impactful manner.
###

Nice to Have / Preferred Skills

Experience deploying AI solutions in production environments using MLOps practices. Familiarity with cloud-based AI/ML services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). Exposure to compliance, data privacy, or ethical AI practices in enterprise settings. Background in applied mathematics or statistics with a focus on AI model interpretability.
###

Qualifications

Master//'s or PhD in Statistics, Mathematics, Computer Science, or a related technical field.

* Demonstrated track record of AI model deployment in real-world business applications.