Lead AI Engineer ()

For WEN WOMENTECH PRIVATE LIMITED
6 - 8 Years
Up to 15 Days
Up to 35 LPA
1 Position(s)
Kochi, Remote/Work From Home (Wfh), Trivandrum/Thiruvananthapuram
Posted 4 Days Ago

Job Skills

Job Description

Responsibilities

  • Responsible for consulting the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client.


Job Description / Duties & Responsibilities

  • Design intelligent data science solutions that delivers incremental value the end stakeholders.

  • Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models.

  • Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible.


Job Specification / Skills and Competencies

  • Masters/Bachelor’s in Computer Science or Statistics or Economics.

  • At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems.

  • Experienced in solving problems that require Vision AI (Computer Vision models like Yolo).

  • Deep understanding of Machine Learning models and algorithms.

  • Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same.

Machine Learning Algorithms:

  • Regression, Time Series.

  • Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc.

  • NLP, Text Mining, LLM (GPTs).

  • Deep Learning, Reinforcement learning algorithm.

Frameworks & Programming:

  • Understanding of and experience in one or more of the machine learning frameworks - TensorFlow, Caffe, Torch etc.

  • Understanding of and experience of building machine learning models using various packages in one or more of the programming languages – Python / R.

Databases & Cloud:

  • Knowledge & Experience on SQL, Relational Databases, NoSQL Databases and Datawarehouse concepts.

  • Understanding of AWS/Azure Cloud architecture.

  • Understanding on the deployment architectures of AI/ML models (Flask, Azure Function, AWS Lambda).

Additional Skills:

  • Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc).

  • Experience in Edge based AI is add on.

  • To adhere to the Information Security Management policies and procedures.


Soft Skills Required

  • Must be a good team player with good communication skills.

  • Must have good presentation skills.

  • Must be a pro-active problem solver and a leader by self.

  • Manage & nurture a team of data scientists.

  • Desire for numbers and patterns.