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AI/ML Gen AI Engineers
2 months ago
Position: AI/ML Gen AI Engineers
Experience: 4+ years
Notice period: Immediate joiner
Job Description
♦ Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
♦ Managing available resources such as hardware, data, and personnel so that deadlines are met
♦ Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
♦ Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
♦ Verifying data quality, and/or ensuring it via data cleaning
♦ Supervising the data acquisition process if more data is needed
♦ Finding available datasets online that could be used for training
♦ Defining validation strategies
♦ Defining the pre-processing or feature engineering to be done on a given dataset
♦ Defining data augmentation pipelines
♦ Training models and tuning their hyperparameters
♦ Analyzing the errors of the model and designing strategies to overcome them
♦ Deploying models to production
Skillset Requirement:
♦ Good experience in designing GenAI applications. Proficient in prompting and popular LLMs like Open AI, Gemini and Llama.
♦ Experience in prompting of Large Multimodal Models like GPT 4 Vision and GPT 4o.
♦ Good fundamental knowledge in Deep Learning and hands on experience in libraries like TensorFlow and PyTorch.
♦ Conceptual understanding of fine tuning LLMs.
♦ Proficient in Python programming language and popular data/ML frameworks like Scikit-Learn, Pandas, NumPy, XGBoost and matplotlib.
♦ Proven experience in NLP.
♦ Rich Exp, in AI, ML and Data Visualization; knowledge in Deep Learning is preferred
♦ Good R&D Capability
♦ Good in Logical/Critical Analysis & Problem Solving Skills
♦ Good Communication & English Language Skills
♦ Proficiency in Python, Web Services, Basic Python packages/libraries like SpaCy, Scikit-Learn & Panda
♦ Ability to select hardware to run an ML model with the required latency
♦ Expertise in Visualizing & manipulating Bigdatasets
♦ Experience. in Cloud Technologies.
