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Data Scientist @ Dew Solutions

Home > Data Science & Machine Learning

 Data Scientist

Job Description

About the Role

We are seeking a highly skilled and innovative Senior Data Scientist AI/ML to lead the design, development, and deployment of

advanced machine learning models and AI solutions. This role is ideal for professionals with a strong foundation in data science,

deep learning, and statistical modeling who can drive business impact through data-driven strategies and products.

Key Responsibilities:

Design, build, and deploy machine learning and AI models for a variety of business use cases.

Lead end-to-end ML projects from ideation to production, including data preparation, feature engineering, model training,

validation, and monitoring.

Collaborate with engineering, product, and business stakeholders to understand requirements and deliver impactful solutions.

Leverage techniques in deep learning, NLP, generative AI, time-series analysis, or computer vision, as needed.

Mentor junior data scientists and contribute to technical best practices, code reviews, and solution architecture.

Evaluate and implement ML Ops practices for scalable and maintainable deployment.

Stay updated on emerging trends in AI/ML and drive innovation by applying cutting-edge research.

Requirement:

6+ years of experience in data science, machine learning, and AI model development.

Proficiency in Python, SQL, and ML frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.

Experience with cloud platforms (AWS/GCP/Azure) and data pipeline tools (Airflow, Spark, etc.).

Strong knowledge of model evaluation, A/B testing, feature selection, and data preprocessing.

Excellent communication and storytelling skills to present findings to both technical and non-technical audiences.

Experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling.

Ability to ship high-quality intelligent products quickly and at scale.


Tech Stack:

Languages & Frameworks:

Python, Java, SQL, JavaScript/TypeScript

TensorFlow, PyTorch, Scikit-learn,Spring Boot

React, Angular

Cloud Platform:

GCP Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub/Sub

OCI Data Science, Autonomous Data Warehouse, Functions, Container Engine for Kubernetes (OKE), Data Flow, and

Streaming

Data & MLOps:

BigQuery, AlloyDB, MongoDB, Redis

Any relation Database Oracle , MySQL, MSSQL

Any of the MLOps - MLflow, Kubeflow, Airflow

Docker, Kubernetes

GenAI & Agents:

Vertex AI Gemini, OpenAI, Claude

LangChain, LlamaIndex, FAISS, Pinecone

RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining

Dev Tools:

GitHub Copilot, ChatGPT, Cursor AI

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Dew Solutions
Location(s): Noida, Gurugram

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Keyskills:   Data Science Artificial Intelligence Natural Language Processing Machine Learning Deep Learning Python SQL

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