Lead Data Scientist

ValueLabs

6 years

0 Lacs

hyderabad telangana india

Posted:2 days ago| Platform:

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Skills Required

data cutting technology drive efficiency ai ml learning analysis support model development design tuning metrics score mistral engineering visualize matplotlib training collaboration planning python pytorch tensorflow azure aws compensation

Work Mode

On-site

Job Type

Full Time

Job Description

About the Company

About the Role

Responsibilities

ML Model Development
Design and optimize models for image classification, anomaly detection, and predictive analytics.
Utilize transfer learning and fine-tuning techniques with architectures like CNNs, ResNet, or EfficientNet.
Assess model performance using metrics such as precision, recall, F1-score, ROC-AUC, and confusion matrices.
Generative AI Applications
Develop and implement GenAI features using LLMs (e.g., GPT, Claude, Mistral) for enterprise solutions.
Apply prompt engineering, RAG pipelines, and embedding-based search systems.
Collaborate on agentic workflows and multi-modal GenAI projects.
Exploratory Data Analysis (EDA)
Conduct thorough EDA to identify patterns, outliers, and feature relationships.
Visualize data using tools like pandas, seaborn, matplotlib, and Plotly.
Support feature engineering and data preparation for training models.
Collaboration & Innovation
Work with architects, product managers, and stakeholders to align AI solutions with business objectives.
Engage in brainstorming sessions, feasibility studies, and planning for GenAI initiatives.

Qualifications

At least 6 years of experience in ML model development, including image classification.
Strong Python skills and experience with ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
Experience with GenAI tools and frameworks (e.g., Hugging Face Transformers, LangChain).
Solid understanding of EDA methods and data visualization.

Preferred Skills

Experience with multi-modal models and vector databases (e.g., FAISS, Pinecone).
Familiarity with cloud platforms (Azure or AWS) and MLOps practices.
Exposure to enterprise-level GenAI applications and agentic AI systems.

Pay range and compensation package

Equal Opportunity Statement

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