Job Summary
Experience:
3.00 - 7.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Hyderabad
Functional Area:
IT Software - Application Programming / Maintenance
Designation:
Gen AI | ML- Data Scientist- ( Lead) -Mum/chennai
Key Skills:
Gen AI , ML,Data Scientist
Educational Level:
Graduate/Bachelors
Job Post Date:
2025-08-22 12:26:19
Stream of Study:
Advertising
Degree:
BBA, BBA/BMS, BBI, BCA, BCom, BCS, BDES, BE-Comp/IT, BEd, BE-Other, BFA, BFM, BIS, BIT, BMS, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other, CA, CS, DCA, DCS, DE-Comp/IT, DE-Other, Diploma, ICWA, LLB, MA, MBA, MBBS, MCA, MCM, MCom, MCS, ME-Comp/IT, ME-Other, MIS, MIT, MMS, MSc-Comp/IT, MS-Comp/IT, MSc-Other, MS-Other, MTech-Comp/IT, MTech-Other, PGDM, PG-Other
Company Description
we are driven to deliver service excellence and quality is the center of every project. With team of more than 75 eminent data scientists, Our client provides advanced AI-based customized solutions, big data infrastructure development and integration services, predictive analytics and machine learning technologies, and corporate training in big data analytics. Typically, our project life cycle entails:
We follow comprehensive testing before the solution is deployed in the production environment. There are components of solution which ensure that identified stakeholders are alerted when system reports a confidence level lower than benchmark. These alerts can be sent via email or other real-time notifications.
Job Description
This role is responsible for managing the client expectations. Strategize 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, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics.
• Data Analysis and Insight Generation: Skilled in analyzing 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 Project Manager
External Stakeholders Clients
Skills/ Competencies Required
Technical Skills • Proficiency with 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).
• Microservices, CI CD, ML
• Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders.
• Proficient understanding of key data engineering concepts, such as 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 to a fast-paced, dynamic work environment and learn new technologies quickly.
Soft Skills • Work in a team/ Independently.
• Excellent Written & Verbal Communication Skills
• Solid critical thinking and questioning skills.
• High degree of flexibility - willing to fill in the gaps rather than relying on others
• Strong communication skills, especially in presenting data insights.
• Flexibility, problem-solving, and a proactive approach in a fast-paced environment
