Python & ML Developer

Data Scientist / Machine Learning Engineer

Location: Ahmedabad, Gujarat (Onsite)

Important Note: This position is open strictly to candidates currently residing in Ahmedabad or Gujarat, or those with an immediate and definitive base here.

Position Overview

We are seeking a skilled and analytical Data Scientist / ML Engineer to join our team. In this role, you will design, build, and deploy predictive models and data-driven solutions to solve complex business problems. The ideal candidate has a strong statistical foundation, hands-on experience with classical machine learning algorithms, and a keen interest or experience in cutting-edge NLP and Large Language Models (LLMs).

Key Responsibilities

• Data Preparation: End-to-end data engineering, including data cleaning, preprocessing, robust feature engineering, and handling structured/unstructured datasets.
• Model Development: Design, train, evaluate, and fine-tune machine learning models (e.g., Random Forest, XGBoost, ensemble methods) to deliver high-accuracy predictions and insights.
• Advanced NLP (Preferred): Explore, implement, and integrate NLP techniques and Large Language Models (LLMs) for text analysis, semantic search, or generative tasks.
• Analytics & Visualization: Perform rigorous statistical analysis and translate complex data findings into clear, actionable insights using data visualization tools.
• Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into technical data science solutions.

Required Skills & Qualifications

• Core Language: Strong, production-grade expertise in Python and its data science ecosystem (Pandas, NumPy, Scikit-Learn, etc.).
• Machine Learning: Proven hands-on experience implementing tree-based algorithms like Random Forest, XGBoost, and LightGBM.
• Mathematics: A solid, foundational understanding of statistical analysis, probability, and core machine learning methodologies.
• Data Visualization: Proficiency with tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI to communicate data trends.

Preferred Qualifications

• Practical exposure to Natural Language Processing (NLP) frameworks (e.g., NLTK, Spacy, Transformers).
• Hands-on experience or academic projects utilizing Large Language Models (LLMs) and prompt engineering.

What We Offer

• Opportunity to work on impactful, data-rich projects.
• A collaborative and growth-oriented tech environment.
• Competitive compensation based on experience.

Why this version works better:

• Immediate Filter: Putting the location constraint at the absolute top in a callout box prevents out-of-state candidates from skimming past it.
• Action-Oriented Language: Phrases like "production-grade expertise" and "translate complex data findings into actionable insights" attract a higher caliber of talent compared to a simple bulleted list.
• Structured Hierarchy: Separating "Required" from "Preferred" ensures you don't scare off great core ML devs who might be slightly newer to LLMs, while still signaling that NLP is a major plus.

Job Types: Full-time, Permanent

Pay: From ₹25,000.00 per month

Benefits

• Health insurance

Location Type:

• In-person

Work Location: In person