Danta Technologies is looking to solve business problems for their Telecom client using data science and AI/ML technologies
Requirements
- Proficient in Python and SQL
- Hands-on experience in database technology (Postgres, Redis, ElasticSearch)
- Familiarity with transformer architectures (SLM, LLM, VLM, Embedding Models)
- Expertise in API development and container technology (Docker, Podman)
- Experience with cloud platform (GCP) and services (BigQuery, google cloud storage, CloudSQL, VectorSearch and so on)
- Working knowledge of software development tools and practices (Git, branching model, agile development, Test-driven-development)
- Hands-on experience building llm-based solutions such as retrieval augmented generation systems, chatbots, agentic ai tools, and so on
Responsibilities
- Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes
- Be involved in the design and development of machine learning/statistical models and ensure best performance
- Work closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance
- Assist engagement with key business stakeholders in discussion on business strategies and opportunities
- Build strong working relationships and develop deep partnerships with the business
- Become a subject matter expert on machine learning and predictive modeling
- Actively research new theories, techniques, and technologies
Other
- MS/ PhD in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field
- Independent professionals and H1 transfer candidates are welcome to apply
- C2C arrangements are not accepted
- Competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law
- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance
