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:
Location Type:
Work Location: In person
