AI Technology Lead

18 hours ago

Delhi, Delhi, India Akaike Technologies Full time

Akaike Technologies is a dynamic and innovative AI-driven company dedicated to building impactful solutions across various domains. Our mission is to empower businesses by harnessing the power of data and AI to drive growth, efficiency, and value. We foster a culture of collaboration, creativity, and continuous learning, where every team member is encouraged to take initiative and contribute to groundbreaking projects.

We are seeking a highly skilled Lead Data Scientist to join our team, with a focus on driving innovative solutions using cutting-edge AI/ML and LLM technologies. This role demands a blend of deep technical expertise, team management skills, and strategic client engagement. The ideal candidate will have a proven track record in designing and deploying scalable AI/ML solutions, managing data science teams, and managing end-to-end client solutions.

Key Responsibilities:

  • Team Mentorship:
    Lead, mentor, and develop a team of data scientists and ML engineers, fostering a culture of collaboration and innovation. Provide guidance and technical direction, helping the team navigate complex problems and project delivery.
  • AI/ML Solution Development:
    Design and implement advanced machine learning models and algorithms tailored to various use cases across different domains, such as Pharma, BFSI, and beyond. Drive innovation by exploring new techniques in areas like structured data modeling, explainable AI, and large-scale language models (LLMs).
  • Client and Stakeholder Management:
    Serve as the primary point of contact for client communications, translating complex data requirements into actionable tasks. Present data-driven insights to stakeholders, demonstrating the business impact of models and solutions. Collaborate with cross-functional teams to align AI initiatives with business goals.
  • Project Delivery and Strategy:
    Lead multiple R&D POC projects, accelerating development and ensuring successful productization and deployment. Define project timelines, ensure timely delivery, and continuously optimize project processes.
  • Platform and Product Development:
    Spearheaded the development of IP-driven solutions, ensuring scalability, cost-efficiency, and ease of use for internal and client teams. Drive continuous improvements to existing platforms and products to enhance performance and scalability.

Required Skills and Qualifications:

  • Must Have Skills:
    At least 5 years of experience developing machine-learning methods, at least 5 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) and 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.
  • Good to Have Skills:
    Familiarity with big data frameworks (e.g., Hadoop, Spark) and visualization tools (e.g., Tableau, PowerBI), experience with platform development and creating scalable AI solutions in a startup environment.

Estimated Salary Range: $150,000 - $200,000 per annum

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