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Job Description
Role Description
Role Proficiency:
Under guidance from Senior ML Engineers develop ML models that provides accurate results with controls to solve the business problem identified using state of art techniques.
Outcomes
Design to deliver Product Objectives:
Machine Learning,Machine Learning Models,Python
Role Proficiency:
Under guidance from Senior ML Engineers develop ML models that provides accurate results with controls to solve the business problem identified using state of art techniques.
Outcomes
- Executes relevant data wrangling activities related to the problem in order to create dataset
- Conduct ML experiments to understand the feasibility and build baseline models to solve the business problem
- Fine tune the baseline model for optimum performance
- Test Models internally per acceptance criteria from business
- Document relevant Artefacts for communicating with the business
- Work with data scientists to deploy the models.
- Work with product teams in planning and execution of new product releases.
- Set OKRs and success steps for self/ team and provide feedback to goals for team members
- Work with cross functional teams - business technology and product teams to understand the product vision; building ML solutions that provides value to the product
- Selection of the appropriate approach to the problem
- Number of successful deployments of the model with optimised accuracy for baseline model
- Adherence to project schedule / timelines
- Personal and team achievement of quarterly/yearly objectives (OKR Assignments HIG Stretch goals)
Design to deliver Product Objectives:
- Design ML solutions which are aligned to and achieve product objectives
- Define data requirements for the model building and model monitoring; working with product managers to get necessary data
- Perform necessary research using the latest and state of art techniques to design scalable approaches
- Explain the relevance of the technologies its pros and cons to the product team; enabling accurate design experiences
- Technically strong with the ability to connect the dots
- Ability to communicate the relevance of technology to the stakeholders in a simple relatable language
- Curiosity to learn more about new business domains and Technology Innovation
- An empathetic listener who can give and receive honest thoughtful feedback
- Expertise in machine learning model building lifecycle
- Clear understanding of various ML techniques with appropriate use to business problems
- A strong background of statistics and Mathematics
Looking to get Placed? Try our Placement Guarantee Plan
- Expertise in one of the domains – Computer Vision Language Understanding or structured data
- Experience in executing collaboratively with engineering design user research teams and business stakeholders
- Experience with data wrangling techniques preprocessing and post processing requirements for ML solutions
- Good knowledge python and deep learning frameworks like Tensorflow Pytorch Caffe
- Familiar with the machine learning model testing approaches
- A genuine eagerness to work and learn from a diverse and talented team
- B.Tech/MTech or MS.in a Computer Science/Statistics/Data Science or related field
- 4+ years of building products with Machine Learning, Deep Learning (DNNs, CNNs, RNNs/LSTMs)
- Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
- Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques
- Experience in Software Engineering including programming in Python
- Production experience implementing machine learning pipelines and models at scale in Python, Java or similar languages
- Design, prototype, and validate ML/NLP models to solve challenging cutting-edge problems, using state-of-the-art techniques (including LLM) and best practices
- Experience with model optimization
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus
Machine Learning,Machine Learning Models,Python
Skills
PythonData ScienceDeep LearningMachine LearningMl EngineerIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
25 Oct 24, 02:10 PM IST
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