Lead Data Scientist

6 days ago

Narela, India Akaike Technologies Full time
Role:

Lead Data Scientist

Location:

Delhi (Client Location)Experience:

5-8 years

Company Overview: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 value diversity, integrity, and a strong commitment to excellence in all our endeavors

.

Note: This is a contract role for first 3 months and post that based on performance there is scope for full time. If you are comfortable with this model pls apply

Job Description:We are looking for a

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. They will be responsible for building advanced models, mentoring teams, and delivering high-impact data science projects.

Key Responsibilities:1.

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 navigatecomplex problems and project delivery.

2.

AI/ML Solution Development

:○ Design and implement advanced machine learning models andalgorithms tailored to various use cases across different domains, suchas Pharma, BFSI, and beyond.○ Drive innovation by exploring new techniques in areas like structured data modeling, explainable AI, and large-scale language models (LLMs).

3.

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 withbusiness goals.

4.

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.○ Translate the business problem into a data science problem by identifying key objectives, data requirements, and performance metrics.○ Then, develop a scalable solution architecture that addresses both the technical challenges and the business nuances.○ Provide a solution design with clear steps for junior data scientists to follow, alongside a robust system design for the architecture to ensurescalability, reliability, and performance at larger scales

5.

Platform and Product Development

:○ Spearhead 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.

Key Qualifications & Skills

● Must Have Skills:

○ Technical Skills:■ At

least 5 y

ears 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), Gitversioning, Data Analysis Libraries(NumPy, Pandas, Statsmodels, Dask),Machine Learning Libraries( Scikit-learn), Deep LearningLibraries(Tensorflow/Keras/Pytorch), Data VisualizationLibraries(Matplotlib, Plotly)■ Understanding of and experience with NLP, CV, and Deeplearning techniques including Word2vec, NER, topicmodeling, ConvNets/ResNets/UNet, Mask-RCNN,RNNs/LSTMs, Transformers/BERT/T5/GPT-4,large-scale pretraining, contrastive learning, DLarchitecture design, and LLM finetuning among others.■ Experience utilizing large-scale language models suchas GPT-4 or other open-source alternatives (such asMistral, Llama, and Phi-1) through prompt engineeringand custom finetuning.■ Deep familiarity with at least one cloud platform and its tools fordeveloping solutions and deployment eg. AWS, Azure, or Google CloudPlatform

○ Soft Skills:■ Excellent leadership and mentoring abilities, with a proven trackrecord of managing and growing data science teams.■ Strong analytical and problem-solving skills, with a proactiveapproach to overcoming challenges.■ Excellent communication and presentation skills, with the ability totranslate complex technical concepts into business-friendlylanguage.■ Experience in client engagement, managing multiple projectssimultaneously, and delivering on tight deadlines.■ Experience in cross-functional collaboration with departmentssuch as marketing, pre-sales, and R&D.

● Good to Have Skills:

○ Technical Skills:■ Experience in BFSI sectors, including credit risk modeling, frauddetection, and customer segmentation.■ Familiarity with big data frameworks (e.g., Hadoop, Spark) andvisualization tools (e.g., Tableau, PowerBI).■ Experience with platform development and creating scalable AIsolutions in a startup environment.

○ Soft Skills:■ Experience hiring and leading Senior Data Scientists■ Experience ideating and implementing platforms and products foraccelerated Data Science solutions■ Experience working in a startup as an initial core contributor■ Experience publishing and presenting work at conferences, seminars, and workshops

Benefits and Perks● Competitive ESOP grants with faster vesting periods● Leading a team and working on services & initiatives independently● 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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