Data Scientist

2 weeks ago

Gurgaon, Haryana, India Dew Solutions Full time US$ 1,50,000 - US$ 2,00,000 per year

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

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