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Job Description
Company Description
IBIL Solutions, an ISO 27001 Certified Company, specializes in delivering advanced software solutions in emerging technologies like Artificial Intelligence, Machine Learning, and mobile applications. With a strong presence across the US, Australia, UK, and India, the company focuses on empowering businesses through digital transformation and data science innovation. Headquartered in Trivandrum, India, IBIL Solutions leverages its talented technical team and cost-effective resources to provide unparalleled value and quality to its clients. As a Registered Snowflake Partner, IBIL also excels in system integration, Snowflake data cloud implementations, and proprietary migration tools in the Data Lake/Data Cloud domain.
Job SummaryExperience: 3+ Years
We are looking for a Junior AI Engineer with a strong foundation in Python, Machine Learning, and Generative AI. The ideal candidate should be eager to learn and contribute to building AI-powered applications, including NLP, data processing, and automation solutions.
Key Responsibilities- Assist in developing backend services using Python, Django REST Framework, or FastAPI
- Support the integration of Generative AI models (GPT, LLMs, Hugging Face)
- Work on NLP tasks, data processing, and basic ML model development
- Help build and maintain REST APIs for AI-driven applications
- Participate in data analysis, visualization, and ETL processes
- Collaborate with senior engineers to develop and deploy AI solutions
- Assist in testing, debugging, and improving model performance
- Basic knowledge of Python and SQL
- Understanding of Machine Learning concepts and NLP fundamentals
- Familiarity with AI/ML frameworks (Scikit-Learn, TensorFlow, or PyTorch)
- Exposure to Generative AI / LLMs (OpenAI, Hugging Face)
- Basic knowledge of REST APIs and backend development
- Understanding of databases (MySQL/PostgreSQL)
- Exposure to LangChain, RAG, or Vector Databases
- Basic knowledge of AWS or Azure cloud services
- Familiarity with Docker and Git
Skills
Artificial IntelligencePythonData AnalysisData ScienceEtlData ProcessingMachine LearningMysqlSnowflakeVisualizationAi/mlAi EngineerDjangoAiMlSqlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
We are a data engineering and analytics company enabling organizations leverage data for competitive advantage. TIBIL enable businesses from Banking & Financial Services, Retail, Healthcare, Manufacturing, Social Sector verticals to achieve better agility, growth and profitability. Our name TIBIL is derived from Mayan script meaning “GOOD”. Founded in 2010, TIBIL is headquartered in Bangalore with offices in Illinois and Hyderabad, India. We serve more than 60 clients in USA, Middle East, APAC and India. We have a strong leadership team with collective experience of 150+ years and pedigree of working in F500 companies. Our solutions help you achieve your business goals through reliable and intelligent data management. We offer data validation, data engineering and feature engineering services to integrate, verify, prepare and transform data into formats that can be accessed by analytical models and tools. We drive data analytics using new generation data analysis tools, ML/AI, and industry-grade statistical models to deliver advanced, real-time analytics. We leverage our iDEA framework to: 1) Integrate and organize large volumes and diverse formats of data from disparate sources 2) Transform the prepared data into derived variables 3) Analyse the data and build models for analytical solutions 4) Derive insights to help you architect key decisions We help you find answers for the following in your quest to derive insights for your business initiatives: 1) Do we have all the data that I need? 2) Have we considered all sources of data? 3) Is our data accurate and reliable? 4) How do we make sense of the data generated from initiatives such as IoT, mobility and cloudification? 5) How do we convert these huge volumes of data into a format that I can leverage for analytics? 6) How do we convert all my data to get visual reports for forecasting, app usage, user behavior patterns? 7) How do we leverage ML and AI algorithms and models to convert data to business insights
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