Akaike Technologies

3 weeks ago

Bangalore, Karnataka, India Akaike Technologies Full time

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 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

(ref:hirist.tech)

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