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    Lead Data Scientist - bangalore, India - Akaike Technologies

    Akaike Technologies
    Akaike Technologies bangalore, India

    2 weeks ago

    Default job background
    permanent Technology / Internet
    Description

    About the job :
    At Akaike Technologies, we foster unique career paths with an inclusive culture, extensive support, and cutting-edge technology.

    Join our team to shape the future with Vision AI and positively impact the quality of life on our planet.


    Responsibilities :

    • Analyse raw data : assessing quality, cleansing, and structuring for downstream processing
    • Design efficient and scalable AI solutions for a wide range of problems that generate actionable insights or automate the existing process
    • Collaborate with the Data engineers, UI, and backend engineers to bring analytical prototypes to production
    • Work with crossfunctional teams to identify and understand business problems and develop datadriven solutions
    • Communicate findings and insights to technical and nontechnical stakeholders clearly and concisely
    • Contribute or drive hiring, training & onboarding of new members to the team.
    • Participate in peer review of code and other technical work to ensure highquality deliverables
    • Stay uptodate with the latest developments and trends in data science, machine learning, deep learning, NLP/LLMs, and applied ML domains

    Qualifications :

    • At least 4 years of experience developing machinelearning methods
    • At least 3 years of experience building Deep learning models in NLP, CV, or other domains
    • Deep understanding of data analysis, machine learning, deep learning, clustering and classification techniques, and algorithms
    • Fluency with Python, Database(MySQL/Postgres/MongoDB), Git versioning, Data Analysis Libraries(NumPy, Pandas, Statsmodels, Dask), Machine Learning Libraries( Scikitlearn), Deep Learning Libraries(Tensorflow/Keras/Pytorch), Data Visualization Libraries(Matplotlib, Plotly)
    • Understanding of and experience with NLP, CV, and Deep learning techniques including Word2vec, NER, topic modeling, ConvNets/ResNets/UNet, Mask-RCNN, RNNs/LSTMs, Transformers/BERT/T5/GPT4, largescale pretraining, contrastive learning, DL architecture design, and LLM finetuning among others.
    • Experience utilizing largescale language models such as GPT4 or other opensource alternatives (such as Mistral, Llama, and Phi1) through prompt engineering and custom finetuning.
    • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
    • Deep familiarity with at least one cloud platform and its tools for developing solutions and deployment eg. AWS, Azure, or Google Cloud Platform
    • Experience leading a team of data scientists, architecting solutions, and devising project plans
    • Experience driving client engagement and problem discovery for multiple clients
    • Ability to manage multiple projects simultaneously and deliver results on time
    • Strong communication skills and experience working with crossfunctional teams

    Optional and preferred qualifications :

    • Experience publishing and presenting work at conferences, seminars, and workshops
    • Experience collaborating crossfunctionally with other departments including hiring, marketing, presales, and R&D
    • Experience hiring and leading Senior Data Scientists
    • Experience ideating and implementing platforms and products for accelerated Data Science solutions
    • Experience working in a startup as an initial core contributor

    Benefits and Perks :

    • Competitive ESOP grants with faster vesting periods
    • Leading a team and working on services & initiatives independently
    • Profit & Loss (P&L) responsibility making incentives completely transparent
    • An opportunity for hiring & training people to drive the value they create
    • Opportunity and budget to go to networking events, conferences, and seminars
    • Visibility on all the functions at Akaike including sales, presales, lead generation, marketing, and hiring
    )
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