Ai Engineer
2 days ago
We are seeking a highly skilled Generative AI and Machine Learning Engineer to join our innovative team. This role blends the frontier of generative AI with robust machine learning and deep learning engineering. You will be responsible for designing, developing, optimizing, and deploying cutting-edge AI systems that power intelligent, scalable, and agent-driven workflows.
Strong Foundations on the conceptual & implementation aspects of machine & deep learning models.
Experience on using the LLMs, Hugging Face, LangChain, API Design, RAG, Vector Databases, OpenAI APIs, Gemini APIs.
Experience in using optimization algorithms for ML and FastAPI
Keep abreast of the latest advancements in NLP and ML and other deep Learning Models to ensure our solutions remain at the forefront of technology.
Experience with time series models (ARIMA, SARIMA, LSTM, Transformer models, etc.)
Proficiency in machine learning techniques such as Random Forest, XGBoost
Programming Language Experience in Python.
Collaborate with software developers to create user-friendly interfaces and tools that can be used to visualize and analyze as per the business requirements.
Educational & Experience:
~ Bachelor's or master's degree in a relevant field, such as engineering, statistics, or Mathematics.
~2-3 years of related experience in ML and LLM.
~ Strong background in AI/ML, with experience developing and implementing models in Python or similar languages
~ Experience working with large text based datasets and data processing tools
~ Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences
~ Proficient in Large Language Models (LLMs), CrewAI , and other advanced AI models.
Strong expertise in Python, with a solid understanding of object-oriented programming (OOP) principles .
Experience designing scalable system architectures and developing RESTful APIs .
Familiar with web frameworks such as Flask and Django.
Proven ability to build and scale AI/ML products from the ground up.
Background in data analysis, machine learning, deep learning, and natural language processing (NLP).
Agile, action oriented and a quick learner.
Group Medical Coverage.
~30 days of Leave.
~ A gender-neutral parental, marriage, and compassionate leave policy.
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