Job Title: Machine Learning Engineer / Data Scientist (Generative AI & Data Engineering)
Location: Gurgaon/NCR (Work from Office)
Experience: 3 to 5 Years
Function: AI & Data Science Enterprise Delivery
Role: Team Manager
Job Description:
This role is responsible for managing client expectations and strategizing with various stakeholders to meet customer requirements.
Key Responsibilities:Data Science:
Develop machine learning models to support recommendation systems and NLP projects.
Provide actionable insights for product and service optimization.
Data Engineering:
Build and maintain scalable ETL pipelines and optimize data storage solutions (data lakes, columnar formats).
Ensure data accuracy and reliability for analytics.
Data Analysis & Insight Generation:
Analyze complex datasets to uncover trends and patterns.
Generate and present insights that drive strategic decisions and enhance client services.
Stakeholder Collaboration:
Work with product and service teams to understand data needs and translate them into technical solutions.
Working Relationships:
Reporting to: VP Business Growth
External Stakeholders: Clients
Skills/ Competencies Required:Technical Skills:
Proficiency in Python (Pandas, NumPy), SQL, and Java.
Experience with LLMs, LangChain, and Generative AI technologies.
Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).
Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders.
Proficient understanding of data engineering concepts, including data lakes, columnar formats, ETL tools, and BI tools.
Knowledge in Machine Learning, NLP, Recommender Systems, Personalization, Segmentation, Microservices Architecture, and API Development.
Ability to adapt quickly to a fast-paced, dynamic environment and learn new technologies.
Soft Skills:
Ability to work independently or in a team.
Excellent written and verbal communication skills.
Strong critical thinking and problem-solving abilities.
High flexibility – willing to take initiative and fill in gaps when needed.
Strong presentation skills for communicating data insights effectively.
Proactive approach in fast-paced environments.
Academic Qualifications & Experience Required:
Bachelor’s Degree in Computer Science, Data Analytics, Engineering, or a related field.
3 to 5 years of experience in Data Science and Data Engineering.
Strong critical thinking skills and ability to work autonomously.
Proficient in key data engineering concepts such as data lakes, columnar formats, ETL tools, and BI tools.
High motivation, strong work ethic, and personal initiative.
Strong oral and written communication skills.
