Technical Program Manager

Creating visual concepts and designs:

This involves developing layouts, designs, and illustrations for various materials like websites, brochures, advertising campaigns, and social media graphics. 

Using design software and tools:

Graphic designers need proficiency in software like Adobe Photoshop, Illustrator, and InDesign, as well as other relevant tools. 

Collaborating with teams:

Working with marketing teams, copywriters, and other stakeholders to ensure designs align with business goals and brand guidelines. 

Adapting designs for various mediums:

Adjusting designs for print, digital, and other platforms, ensuring consistency and visual appeal. 

Staying updated on design trends:

Keeping abreast of the latest design trends, software updates, and industry best practices to enhance their skills. 

Reviewing and refining designs:

Incorporating feedback, making revisions, and ensuring that final designs meet quality standards. 

Managing time effectively:

Balancing multiple projects and meeting deadlines while maintaining high-quality output. 

Essential Skills:

Creativity and innovation: The ability to think outside the box and generate unique design ideas. 

Strong visual communication skills: Understanding how to effectively convey messages through visual elements. 

Attention to detail: Ensuring accuracy in designs and layouts. 

Software proficiency: Expertise in design software and tools. 

Communication and collaboration: Effectively working with teams and clients. 

Adaptability: Adjusting designs for different mediums and platforms

• Oversees all company social media accounts management and reporting.
• Plan strategies to drive traffic and engagement to generate leads.
• Develop engaging, creative, innovative content and graphics for regularly scheduled posts, which promote brand-focused messages.
• Coordinate with other departments to plan social media activities.
• Design and handle paid advertising campaigns on LinkedIn and Facebook.
• Analyze social media campaigns with tracking systems to gather visitor data and determine efficacy and areas for social media campaign improvement.
• Monitor and develop reports on competitor activity within social media spaces.
• Monitoring users' engagement with and feedback on every post.
• Exploring the potential value of social media sites that are not yet in our repertoire.
• In-depth understanding of all the latest and familiar social media sites with their associated algorithms.
• Finding relevant groups on social channels and contribute.
• Connecting with potential leads, and influencers to build a connection.
• Stay up to date with social media trends.
• Connect with social media influencers to improve brand reputation.

• Experience – 3+ years of experience
• Minimum a bachelor's degree
• Prior social media handling experience min 3 years
• Experience in handling social media automation tools such as Hoot suite, Hub spot, Buffer etc.
• Expert knowledge of all leading social media sites.
• Good communication skills.
• Flexible and engaging writing style.
• Experience with a designing tool (Canva, Illustrator, etc)

What you need to have:

Gynecologists give reproductive and sexual health services that include pelvic exams, Pap tests, cancer screenings, and testing and treatment for vaginal infections. They diagnose and treat reproductive system disorders such as endometriosis, infertility, ovarian cysts, and pelvic pain.

Diploma in Gynaecology & Obstetrics (D. G. O.) – 2 years. Doctor of Medicine (MD) in Gynaecology & Obstetrics – 3 years. Master of Surgery (MS) in Gynaecology & Obstetrics – 3 years.

Degree: Master of Surgery

Location :Una Diu

Salary- 2LPM+ 50% profit sharing

Experience- 1 year

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.

We are looking for a Technology Leader to help us build the next-generation InsureTech platform from scratch. You will work with an amazing set of engineers on some of the most challenging tech problems and impact million of lives. 

Responsibilities:

- Define the technical architecture for Vital

- Complete responsibility of the development of the backend, web app, and the native app

- Recruit, manage and mentor a team of frontend developers, backend developers and quality engineers

- Ensure timely delivery of all features 

- 50% of the time will be in the actual development and 50% in code reviews, management and building the team

Requirements:

- 10+ years of application development experience in a good product company

- Expert knowledge of data structures, algorithms, databases, and caching technologies

- Must have managed a team of developers and QA engineers

- Must be hands-on with coding and development

- Undergrad CS degree from NIT or a good regional college is a MUST