On-Site
Full-Time
Bengaluru, Karnataka
India
Skills
Amazon Web Services (AWS)
Artificial Intelligence (AI)
Python (Programming Language)
PyTorch
Machine Learning
Databases
Generative AI
About the Role
About Creative Synergies Group:
Global technology services company
40+ Fortune 500 clients
95% revenue from US, Europe, Japan based customers.
Current Verticals: Transportation, Energy/Process Industry, Industrial Products, Hi-Tech
Product Engineering Services (PES): Digital, Embedded, Mechanical Services
Plant Engineering Services (Oil & Gas/ Process / Chemical Industries)
Manufacturing Engineering Services (Discrete Manufacturing Industries)
Founded by former Michigan State University professor, former Wipro (NYSE: WIT) EDS Chief Executive and serial entrepreneur Dr. Mukesh Gandhi
Locations: Headquartered in the U.S., multiple centers of delivery excellence in India (Bengaluru, Pune), branch offices in Germany, the U.K, the Netherlands, and Japan.
Culture: Creative is run on a culture of positivity, entrepreneurial spirit, customer centricity, teamwork, and meritocracy
Role: Gen AI Developer
Experience: 03-06 Years
Job Description
Experience:
3 to 6 years of overall experience in software development, with at least 3 to 4 years focused on AI / ML.
Minimum of 1 to 2 years of experience specifically working with Generative AI (GenAI) technologies.
Python, PySpark and SQL knowledge is necessary for tasks
Proven ability to work in a collaborative, fast-paced, and innovative environment.
Technical Skills:
Generative AI Frameworks & Technologies:
Expertise in Generative AI frameworks, including prompt engineering, finetuning, and few-shot learning.
Familiarity with frameworks such as T5 (Text-to-Text Transfer Transformation).
Strong knowledge of Retrieval-Augmented Generation (RAG) for combining LLMs with external data retrieval systems.
Data Management:
Experience in designing chunking strategies for different datasets.
Expertise in data embedding techniques and experience with vector databases like Pinecone, Weaviate, or Milvus.
Programming & AI/ML Libraries:
Strong programming skills in Python.
Experience with AI/ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
Cloud Platforms & Integration:
Familiarity with cloud services for AI/ML workloads (AWS, Azure).
Experience with API integration for AI services and building scalable applications.
Certifications (Optional but Desirable):
Certification in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning –Specialty).
Certification or coursework in Generative AI or related technologies.
Global technology services company
40+ Fortune 500 clients
95% revenue from US, Europe, Japan based customers.
Current Verticals: Transportation, Energy/Process Industry, Industrial Products, Hi-Tech
Product Engineering Services (PES): Digital, Embedded, Mechanical Services
Plant Engineering Services (Oil & Gas/ Process / Chemical Industries)
Manufacturing Engineering Services (Discrete Manufacturing Industries)
Founded by former Michigan State University professor, former Wipro (NYSE: WIT) EDS Chief Executive and serial entrepreneur Dr. Mukesh Gandhi
Locations: Headquartered in the U.S., multiple centers of delivery excellence in India (Bengaluru, Pune), branch offices in Germany, the U.K, the Netherlands, and Japan.
Culture: Creative is run on a culture of positivity, entrepreneurial spirit, customer centricity, teamwork, and meritocracy
Role: Gen AI Developer
Experience: 03-06 Years
Job Description
Experience:
3 to 6 years of overall experience in software development, with at least 3 to 4 years focused on AI / ML.
Minimum of 1 to 2 years of experience specifically working with Generative AI (GenAI) technologies.
Python, PySpark and SQL knowledge is necessary for tasks
Proven ability to work in a collaborative, fast-paced, and innovative environment.
Technical Skills:
Generative AI Frameworks & Technologies:
Expertise in Generative AI frameworks, including prompt engineering, finetuning, and few-shot learning.
Familiarity with frameworks such as T5 (Text-to-Text Transfer Transformation).
Strong knowledge of Retrieval-Augmented Generation (RAG) for combining LLMs with external data retrieval systems.
Data Management:
Experience in designing chunking strategies for different datasets.
Expertise in data embedding techniques and experience with vector databases like Pinecone, Weaviate, or Milvus.
Programming & AI/ML Libraries:
Strong programming skills in Python.
Experience with AI/ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
Cloud Platforms & Integration:
Familiarity with cloud services for AI/ML workloads (AWS, Azure).
Experience with API integration for AI services and building scalable applications.
Certifications (Optional but Desirable):
Certification in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning –Specialty).
Certification or coursework in Generative AI or related technologies.
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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