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.