Data Science Engineer
- Compensation
- Not disclosed
- Location
- Gurugram
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- Proficiency in Programming: Python and SQL are essential. Experience with other languages like Scala or Java is a plus.
- Strong Expertise in AI/ML Tools: TensorFlow, PyTorch, Scikit-learn, and similar frameworks are crucial. Experience with Big Data ML libraries (e.g., Spark MLlib) is highly desirable.
- Big Data Expertise: Proven experience working with distributed computing systems and Big Data technologies such as Hadoop, Spark, Hive, and Kafka. Familiarity with cloud-based Big Data services (e.g.,
- Cloud Platforms: Familiarity with Google Cloud Platform (preferred), AWS, and/or Azure for model deployment and data pipelines, with a focus on their Big Data and AI/ML services.
- Data Visualization Skills: Experience with Power BI, Tableau, or similar tools to effectively communicate data insights.
- Knowledge of NLP/Computer Vision: Hands-on experience in Natural Language Processing or Image Recognition methodologies is a plus, especially in the context of large datasets.
- Analytical Thinking & Problem Solving: Ability to translate complex business problems into analytical frameworks and develop data-driven solutions within a Big Data environment.
- Excellent Communication Skills: Strong ability to collaborate across teams and communicate insights effectively, including presenting technical concepts to non-technical stakeholders.
- Strong understanding of data modeling, data warehousing concepts, and ETL processes, particularly in the context of Big Data.
- Experience with version control systems (e.g., Git).
Nice to have
- 5-8 years of hands-on experience in Data Science or AI/ML roles, with a significant focus on Big Data projects.
- Experience in industries like Mobile, Consumer Goods, or Apparel is a strong plus.
- Exposure to working in Agile/Scrum environments.
- Experience with MLOps practices and tools for automating and scaling ML workflows.
- Contributions to open-source projects or a strong portfolio showcasing Big Data and AI/ML projects.
Full description
Location: Gurgaon
Job Summary:
Data Science & AI Engineer - Big Data Specialization - Proficiency in Programming: Python and SQL are essential. Experience with other languages like Scala or Java is a plus. Strong Expertise in AI/ML Tools: TensorFlow, PyTorch, Scikit-learn, and similar frameworks are crucial. Experience with Big Data ML libraries (e.g., Spark MLlib) is highly desirable. Big Data Expertise: Proven experience working with distributed computing systems and Big Data technologies such as Hadoop, Spark, Hive, and Kafka. Familiarity with cloud-based Big Data services (e.g., AWS EMR, Google Cloud Dataproc, Azure HDInsight) is a significant advantage. Cloud Platforms: Familiarity with Google Cloud Platform (preferred), AWS, and/or Azure for model deployment and data pipelines, with a focus on their Big Data and AI/ML services. Data Visualization Skills: Experience with Power BI, Tableau, or similar tools to effectively communicate data insights. Knowledge of NLP/Computer Vision: Hands-on experience in Natural Language Processing or Image Recognition methodologies is a plus, especially in the context of large datasets.
Job Description:
Highly motivated Data Science and AI Engineer passionate about tackling complex challenges with cutting-edge technologies. We are seeking a talented individual to join our innovative team and contribute to the development of impactful solutions within the Mobile, Consumer Goods, and Apparel industries. In this pivotal role, you will leverage your deep expertise in advanced data science techniques and AI/ML methodologies, with a strong emphasis on handling and processing large-scale datasets. You will be instrumental in driving data-driven
decisions and building intelligent systems that directly impact our business. Your contributions will span the entire lifecycle of AI/ML projects, from ideation to deployment and continuous improvement.
In this role, you will:
- Extract actionable insights from complex, large-scale datasets using advanced analytical and statistical methods.
- Architect, develop, and deploy scalable and robust AI/ML solutions that address critical business needs and drive tangible value.
- Collaborate effectively with cross-functional teams including business stakeholders,product managers, and engineering teams to translate business requirements into impactful AI/ML initiatives.
- Stay at the forefront of advancements in data science, AI, and Big Data technologies, proactively exploring and integrating new methodologies and tools.
- Design and implement efficient data pipelines for data ingestion, processing, and storage, optimized for large volumes and real-time capabilities.
- Contribute to the development of our Big Data infrastructure and ensure its scalability, reliability, and performance.
- Communicate complex technical findings and insights effectively to both technical and non-technical audiences through clear visualizations and compelling narratives.