About Creative Synergies Group: Global technology services company40+ Fortune 500 clients95% 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 (Gen AI) technologies.
Python, Py Spark 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 Tensor Flow, Py Torch, 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., Tensor Flow, AWS Certified Machine Learning –Specialty).
Certification or coursework in Generative AI or related technologies.
