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Role: Research Scientist

Duration: Through 2026 with extensions

Required Skills & Experience

-Strong fundamentals in machine learning concepts

-Hands-on experience with deep learning / neural networks and modern AI approaches

-Solid understanding of model evaluation, limitations, and trade-offs

-Ability to explain models and results in simple, intuitive terms

-Experience with Explainable AI (XAI) concepts and techniques

-Robust judgment on when Generative AI adds value—and when it does not

-Understanding of agentic AI concepts (design-level grasp is sufficient)

Data & Use Cases

-Time series and temporal data analysis

-Numerical and high-dimensional tabular datasets

-Anomaly detection, trend modeling, and outlier identification

-Applying ML outputs directly to business decision-making

Programming & Tools

-Python (practical proficiency; perfection not required)

-PyTorch (preferred over TensorFlow)

-scikit-learn, XGBoost, pandas

-Experience with Python ML libraries in time series and tabular contexts

-Deployment experience on Azure or a comparable cloud platform

Job Description





We are seeking a business-oriented Machine Learning Engineer with solid fundamentals in classical ML and up-to-date AI, including Generative AI. This role focuses on applying AI to real-world business problems, particularly in time series, tabular, and document-based data.

The ideal candidate is comfortable working autonomously, collaborating across international teams, and translating complex analytical findings into clear, actionable insights for stakeholders.

Key Responsibilities

-Analyze complex datasets (time series, tabular, numerical, and temporal data) to identify patterns, trends, anomalies, and outliers

-Design, build, evaluate, and explain ML models aligned to real business use cases

-Break down ambiguous or complex business problems into solvable ML tasks

-Interpret model results, analyze errors, and connect outcomes back to business impact

-Communicate findings clearly to non-technical stakeholders and ask the right follow-up questions

-Propose and iterate on AI-driven solutions based on data insights

-Collaborate closely with cross-functional and international teams in English

Apply on Kit Job: kitjob.in/job/46l9tl

📌 Research Scientist Nellore (India)
🏢 PMTS Private
📍 India