AIML - Module Lead / Technical Lead

JD for Technical Leader AI/ML:

Job Description:

Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals. Apply strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services

Responsibilities:

Lead data mining and collection procedures

Ensure data quality and integrity

Interpret and analyze data problems

Conceive, plan and prioritize data projects

Build analytic systems and predictive models

Test performance of data-driven products

Visualize data and create reports

Align data projects with organizational goal

Understands business problems and designs end-to-end analytics use cases

Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc.,

Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance

Collaborates with model developers to implement and deploy scalable solutions

Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

Qualification & Other Attributes:

5-12 years experience in a statistical and/or data science role

Proven experience as a Data Scientist or similar role

Strong organizational and leadership skills

Degree in Computer Science, Data Science, Mathematics, or similar field

Deep knowledge and experience in Large Language Models (LLM)

Strong knowledge on Generative AI

Deep knowledge of machine learning, statistics, optimization or related field

Experience in Linear and non-Linear Regression models including Multiple and Multivariate

Experience in Classification models including Ensemble techniques

Experience in Unsupervised models including K-Means, DBSCAN, LOF

Rich Experience in NLP techniques

Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc

Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory

Rich experience in deployment of models in any of the cloud (AWS, Azure, GCP) and/or non-cloud environments

Experience in Version control systems (GitLab, Github, BitBucket etc)

Good knowledge in Explainable AI

Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.)

Excellent written and verbal communication skills along with strong desire to work in cross functional teams

Attitude to thrive in a fun, fast-paced start-up like environment

Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc

Optional: programming in C, C++, Java, .Net