C Programmer

Overall responsibility:

• Drafts, implements, and executes policies and procedures to facilitate a quality customer service experience.
• Establishes performance metrics for customer service representatives. Establishes service levels and requirements for the department.
• Develops and implements methods to record, assess, and analyse customer feedback.
• Develops and implements training and quality assurance programs for new hires and experienced employees.
• Identifies and recommends or acquires updates and expansions to technology, equipment, and policies that may improve customer service and retention. Acts as a liaison between the customer service department and other divisions in the company.

Day to day responsibilities :

• Managing the customer support department’s day-to-day functions. Responding to escalated customer support issues.
• Implementing customer support processes to enhance customer satisfaction.
• Formulating and revising customer support policies and promoting their implementation. Informing the team of all new information related to products, procedures, and trends.
• Assessing support statistics and preparing detailed reports on the findings.
• Interviewing and hiring new employees. Overseeing and evaluating the team's ongoing training efforts.
• Delivering performance evaluations and following the disciplinary process according to company policy. Managing the budget of the customer support department

Mandatory Certifications:

• ISO
• Six Sigma BB

Why Join Us : 

1. Start-up Environment - Work with a passionate and energetic team that is driven by hustle, comradeship, and togetherness

2. Compensation & Benefits – Best-in-class salaries to highly competitive ESOPs along with great learning work environment, we offer you a place full of opportunities to customize your career trajectory

3. An Environment for Innovation - We create a culture for innovation by giving an employee the prowess to create, make and innovate.

4. We've got you covered - From medical insurance, well-defined policies to flexi WFH options, scrumptious lunch to some amazing learning and development sessions- we've got your back!

5. Cool Perks – Come and get to join us for in-house events, team outings, dinner catchups, and much more

Greetings from IT Path Solutions !!! 

IT PATH SOLUTIONS PVT LTD is growing and we love to welcome creative, innovative & skillful candidates to become a part of our IPS FAMILY. Following are the designations for which we are hiring !!

IT PATH SOLUTIONS is hiring for the Associate Business Consultant position.

Join us at IT PATH SOLUTIONS where we welcome Job applications from aspiring or established Business Development Professionals, Technology Consultants & Business Analysts who could play a key role in terms of identifying/defining new business requirements & client acquisitions.

About IT Path Solutions:

IT Path Solutions is one of the leading tech consulting & solution development company based in the US, UK and headquartered in India with 2 development centers. for more information you can check out :- https://www.itpathsolutions.com/

Our Key Service Offerings: 

• Business Technology Consulting for Startup(s), SMB(s) & Enterprise(s)
• Custom Web & Mobile App Design & Development
• Startup & Enterprise Product Engineering & Maintenance
• Trending Tech- Augmented Reality, Virtual Reality, AI, IoT Apps Development
• Cloud Consulting & Migration- AWS, Azure, Google Cloud

With our global presence of channel partners in North America (North Carolina), United Kingdom( Harlow), we cater to our customers across the regions from our development center headquartered in Ahmedabad (Gujarat) fuelled by 2000+ project success stories, focused by 16+ industry verticals, trusted by 200+ clients & co-powered by 80+ in house talents & counting.

If you are a talented geek with a passion & proven experience of global business development, you might be interested in the following open position(s):

Role: Associate Business Consultant

Location: Ahmedabad, Gujarat

• Generating leads from assigned international geographies, focus technology and industry verticals.
• Generating leads from professional networking, Community forums, Bidding, Marketing campaigns, Other Innovative Approaches 
• Proactively hunting, farming and account management with clients for new businesses
• Experience of managing entire sales life cycle &/or experience of successfully achieving sales/revenue targets will be an advantage
• Experience with trending & cognitive technologies &/or product/solution selling will be an added advantage.

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