Associate Data Scientist - AI
- GEP
- 1 - 3 years
- Mumbai
- 2 months ago
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Job Description
GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our clients success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions.
We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. Thats just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. Were focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. Were a learning organization, actively looking for people to help shape, grow and continually improve us.
Are you one of us?
GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team.
For more information please visit us on GEP.com or check us out on LinkedIn.com.
Join a high-impact program where you'll work directly with the leadership team to solve one of the most pressing challenges in the AI and data ecosystem: taming big, fragmented data across structured and unstructured formats. This role offers an opportunity to explore and experiment with cutting-edge Generative AI, Agentic Workflows, and LLM deployment while working on real-world enterprise problems in a fast-paced, innovation-driven environment.
Youll be part of a focused team thats building next-gen AI products and platforms that harness the true power of Large Language Models, Graph-based agent orchestration, and advanced data engineering.
Functional Requirement:
- Bachelors/Masters degree in Computer Science, Computer Engineering, Applied Mathematics, Operations research or related technical discipline with 1 to 3 years of industry experience in Data Science.
- Experience working with supervised/unsupervised learning ML models such as support vector machines (SVM), neural networks, Bayesian models, CNN, RNN, computer vision techniques, reinforcement learning etc. The ideal candidate will have a wide coverage of the different methods/models, and an in-depth knowledge of some
- Experience in solutions built using Gen AI Technologies, Agentic Workflow
- Strong coding experience in Python and Apache Spark. Python is mandatory.
- Should have experience deploying LLMs locally
- Experience in LangChain, LangGraph, Vector Databases, Microsoft Autogen
- Experience with NoSQL databases, such as Cassandra. Proven ability of working on open-source frameworks such as Keras, TensorFlow, Spark ML, H20 etc.
- Experience of working on Microsoft Azure is a plus although not mandatory"
- Experience with Azure AI services is a must
Good to Have:
- Experience with Big Data problems including structured and unstructured data
- Available to join in 30 days
Ideal Candidate Traits:
- Ability to work independently to solve open-ended problems using AI technologies.
- Comfortable working in an agile, fast-paced environment.
- Strong communication skills and the ability to work with cross-functional teams.
Job Classification
Industry: Recruitment / StaffingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: GEPLocation(s): Mumbai
Keyskills: modeling neural networks microsoft artificial intelligence research coding gen tensorflow apache data science spark keras spark mllib big data communication skills python cnn microsoft azure svm data engineering nosql rnn cassandra operations research computer vision agile
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