Lead Data Scientist

2 weeks ago

Bangalore Metropolitan Area, India Akaike Technologies Full time

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 cross-functional teams to identify and understand business problems and develop data-driven solutions
  • Communicate findings and insights to technical and non-technical 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 high-quality deliverables
  • Stay up-to-date 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 machine-learning 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( Scikit-learn), 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/GPT-4, large-scale pretraining, contrastive learning, DL architecture design, and LLM finetuning among others.
  • Experience utilizing large-scale language models such as GPT-4 or other open-source alternatives (such as Mistral, Llama, and Phi-1) 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 cross-functional teams



Optional and preferred qualifications:

  • Experience publishing and presenting work at conferences, seminars, and workshops
  • Experience collaborating cross-functionally with other departments including hiring, marketing, pre-sales, 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, pre-sales, lead generation, marketing, and hiring

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