Branch Manager/ Sales Manager LAP

• Qualifications and SkillsProven experience in technical recruiting with a strong background in the IT industry.
• Ability to effectively source candidates using various channels, including online and offline platforms.
• Strong expertise in talent sourcing (Mandatory skill).
• Proficiency in screening and evaluating candidates' skills, experience, and qualifications (Mandatory skill).
• Excellent knowledge of Applicant Tracking Systems (ATS) and their management (Mandatory skill).
• Strong communication and interpersonal skills to maintain professional relationships with candidates and colleagues.
• A keen understanding of industry market trends and the competitive landscape for IT talent.
• Capable of working independently and collaboratively in a fast-paced environment with a focus on achieving recruitment targets.

• Roles and ResponsibilitiesIdentify and source potential candidates using a variety of online and offline recruiting channels.
• Screen resumes and applications to shortlist suitable candidates for further evaluation.
• Conduct preliminary interviews to assess candidates' qualifications and fit for specific roles.
• Collaborate with hiring managers to understand job requirements and develop effective recruitment strategies.
• Manage candidate pipelines and maintain records in the Applicant Tracking System.
• Coordinate and schedule interviews between candidates and hiring teams.
• Ensure a positive candidate experience throughout the hiring process.
• Assist in crafting attractive job descriptions and recruitment advertisements.

• Deliver high-quality code in a fast-paced customer-facing product
• Build distributed systems to support large scale, low latency queries
• Be involved in the full life-cycle of product development from concept to deliverables
• Iterate quickly by working closely with the firmware team as well as clients and end-users of the products
• Design and implement a secure and robust API to communicate with millions of vehicles

• Excellent understanding of computer science fundamentals, data structures, and algorithms
• Good understanding of SQL or NoSQL Database
• Experienced in writing production-grade code
• Strong background in designing large scale distributed systems

• Strong experienced in writing Golang in production
• Familiar with Cloud-native technologies
• Familiar with version control systems
• Full Stack development experience in both frontend and backend
• Experienced in having fast iteration in product

Sibros is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.

Responsibilities :

· Assist in the formulation of strategies to build a lasting digital connection with consumers

· Plan and monitor the ongoing company presence on social media (Twitter, Facebook, etc.)

· Launch optimized online adverts through Google Adwords, Facebook, etc. to increase company and brand awareness

· Be actively involved in SEO efforts (keyword, image optimization, etc.)

· Prepare online newsletters and promotional emails and organize their distribution through various channels

· Provide creative ideas for content marketing and update website

· Collaborate with designers to improve user experience

· Measure performance of digital marketing efforts using a variety of Web analytics tools (Google Analytics, WebTrends, etc.)

· Acquire insight in online marketing trends and keep strategies up-to-date

· Maintain partnerships with media agencies and vendors

Competencies & Skills Required :

· Proven experience as Digital Marketing Executive or similar role

· Excellent understanding of digital marketing concepts and best practices

· Experience with B2C social media, Google AdWords and email campaigns, and SEO/SEM

· Working knowledge of ad serving tools (e.g., DART, Atlas)

· Perfect knowledge of web analytics tools (e.g. Google Analytics, Net Insight, WebTrends, etc.)

· Skills and experience in creative content writing

· Analytical mindset and critical thinking

· Excellent communication and interpersonal skills

• Design and build application for iOS platforms
• Writing well designed, testable, efficient code by using the best software development practices
• Responsible for working on iOS frameworks, Xcode, Swift, Rxswift, Xcode SDK Platform tools
• Responsible to work on bug fixing and improving application performance
• Create and maintain software documentation
• Stay plugged into emerging technologies/industry trends and apply them into operations and activities 

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics

• 4+ years Rails experience in a production environment working complex Ruby on Rails applications and Ruby gems
• Proficient understanding of code versioning tools
• Knack for writing clean, readable Ruby code
• Knowledge on HTTP and RESTFUL API development experience
• Experience in Angular is a plus
• Proactiveness, good communication and fast learning.