Data Scientist / ML Engineer
- Location
- Gurgaon, Haryana, India
- Salary
- Not specified
- Company
- Akash pawar
Job description
• Role & Company / Project Overview: HUQUO is hiring a Data Scientist / ML Engineer to join their AI & Data Science Team to build intelligent solutions and work on enterprise-scale Data Science and AI initiatives. The position involves working across Data Science, Python, SQL, Machine Learning, Deep Learning, and NLP. • Key Responsibilities & Daily Duties: - Design, develop, and implement Machine Learning (ML) and Deep Learning models for business use cases. - Perform Exploratory Data Analysis (EDA) to identify patterns, trends, and actionable insights. - Develop data processing and analytical solutions using Python and SQL. - Perform feature engineering, preprocessing, model training, and evaluation. - Develop Image Processing and Computer Vision solutions for image analysis, recognition, and classification. - Work with cloud platforms (AWS, Azure, or GCP) to develop, deploy, and support scalable AI/ML solutions. - Develop data visualizations, dashboards, and analytical reports. - Explore and implement LLM-based applications, RAG pipelines, and Agentic AI workflows where applicable. - Evaluate model performance and optimize solutions for scalability, development, evaluation, and deployment. - Collaborate with Data Engineers to build data pipelines. - Work with cross-functional teams, Data Scientists, Data Engineers, AI/ML teams, and business stakeholders to translate business requirements. • Required Qualifications, Skills & Experience: - Experience: 4 to 7 years of experience in Data Science, Machine Learning, ML Engineering, or related roles. - Notice Period: 0 to 30 Days. - Education: Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Data Science, or a related field. - Strong programming experience with Python for data analysis, model development, and automation. - Strong hands-on experience with SQL / Advanced SQL. - Proven experience developing and implementing Machine Learning (ML) algorithms and models. - Strong understanding of Deep Learning (DL) concepts and techniques. - Hands-on experience with Natural Language Processing (NLP). - Experience with OCR technologies and text extraction. - Experience with Image Processing and Computer Vision. - Strong experience in Exploratory Data Analysis (EDA), data preprocessing, and feature engineering. - Experience with Data Analytics, statistical analysis, and Data Visualization. - Exposure to cloud platforms such as AWS, Azure, or GCP for AI/ML development or deployment. - Knowledge of model evaluation, performance metrics, and optimization techniques. - Experience working with structured and unstructured data. - Strong analytical, problem-solving, and communication skills. - Desirable Skills (Good-to-Have): Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn; Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI; Familiarity with prompt engineering and LLM integration; Exposure to vector databases, embeddings, and semantic search; Familiarity with NLP libraries and OCR frameworks; Exposure to advanced Computer Vision applications; Experience with model deployment, APIs, and MLOps practices; Knowledge of Docker, CI/CD, and model lifecycle management; Experience with cloud-native AI/ML services; Exposure to RAG evaluation, LLM monitoring, and AI application optimization; Experience working on enterprise-scale Data Science and AI initiatives. • Working Hours, Shifts & Location Details: - Location: Gurgaon, Haryana, India. - Work Mode: Hybrid (2 Days/Week Work From Office). • Compensation & Benefits: - Not specified. • Application Instructions: - Interested candidates can share their resume via the provided contact email.