Account Director

What are we looking for?

• Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
• 7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
• Hands on experience with python, deploying ML models
• Hands on experience with time-wise tracking of model performance, and diagnosis of data/model drift
• Familiarity with Dataiku, or other data-science-enabling tools (Sagemaker, etc)
• Demonstrated familiarity with distributed computing frameworks (snowpark, pyspark)
• Experience working with various types of data (structured / unstructured)
• Deep understanding of all data science phases (eg. Data engineering, EDA, Machine Learning, MLOps, Serving)
• Highly self-motivated to deliver both independently and with strong team collaboration
• Ability to creatively take on new challenges and work outside comfort zone
• Strong English communication skills (written & verbal)

Roles & Responsibilities:

• Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority
• Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in
• Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team
• Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional & technical guidance and SME support
• Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions
• Strong business analysis, product design, and product management skills
• Ability to work in a collaborative environment - reviewing peers' code, contributing to problem- solving sessions, ability to communicate technical knowledge to a a variety of audience (such as management, brand teams, data engineering teams, etc.)
• Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
• MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline
• Work with all sizes of ML model from linear/logistic regression to other sklearn-like models, to deep learning
• Formulate training schema for unbiased model training e.g. K-fold cross-validation, leave-one- out cross-validation) for parameter searching and model tuning
• Ability to work on machine learning work like recommender systems, end-to-end ML lifecycle)
• Ability to manage ML on largely imbalanced training sets (<5% positive rate)
• Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
• MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline

Work with Business Analyst/end users to understand business requirements

2. Develop Prototype, Design documents.

3. Develop code in Java spring framework and Angular to meet requirements.

4. Involve in Testing cycle and track until the Production migration.

5. Follow Quality procedures and develop documents as per SDLC methodology.

6. Receiving support calls from MES Users and generation of tickets (manually or through system)

7. Resolution of the calls

8. Routing unresolved and higher level (L2 & L3) calls to central MES teams

9. Keeping track of SLAs

10. Maintaining ticket resolution track and Resolves change request also assigned time to time.

Software Engineer

Responsibilities

• Work with a performance oriented team driven by ownership and open to experiments.
• Learn to design systems for high accuracy, efficiency and scalability.
• Help us make decisions to shape our REST APIs for developers worldwide
• Think outside the box, adapting the latest software technologies
• Contribute to open source
• Be involved and drive product & design discussions.
• Contribute to our technical innovation by learning and sharing your knowledge with our Engineering teams

Requirements

• Graduation in any technical stream
• A minimum of (3 to 5 ) years of relevant experience
• Ability to work at all levels of the stack, from Golang/NodeJS+NoSQL/SQL to React/+HTML+CSS+Azure/AWS
• Good architectural & design skills.
• Take full ownership and responsibility for building, shipping, and maintaining core LoginRadius features, end to end.
• Design and architect complex new systems, focusing not only on performance and scalability, but also on crafting a beautiful user experience.
• Experience in Docker/Kubernetes is a plus
• Ability to build a feature from scratch & drive it to completion
• A willingness to learn new technology, whatever lets you deliver the best product

• Have worked at a product company is a plus

• Coordinate with global hiring managers to identify staffing needs
• Determine selection criteria
• Source potential candidates through online channels (e.g. social platforms and professional networks)
• Plan interview and selection procedures, including screening calls, assessments, and in-person interviews
• Assess candidate information, including resumes and contact details, using our Applicant Tracking System
• Design job descriptions and interview questions that reflect each position’s requirements
• Lead employer branding initiatives
• Organize and attend job fairs and recruitment events
• Forecast quarterly and annual hiring needs by department
• Foster long-term relationships with past applicants and potential candidates

• Proven work experience as a Talent Acquisition Specialist or similar role
• Familiarity with social media, resume databases, and professional networks (e.g. LinkedIn, Stack Overflow, and Github)
• Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods
• Knowledge of Applicant Tracking Systems (ATSs)
• Excellent verbal and written communication skills
• A keen understanding of the differences between various roles within organizations

• Verbal and non-verbal communication.
• Listening skills.
• Assertiveness.