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Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

5+ years of experience designing, developing, validating, and automating ETL processes 3+ years of experience traditional ETL tools such as Visual Studio, SQL Server Management Studio, SSIS, SSAS and SSRS 2+ years of experience with cloud technologies and platforms, such as: Kubernetes, Spark, Kafka, Azure Data Factory, Snowflake, ML Flow, Databricks, Airflow or similar Must have experience with designing and implementing data access layers Must be an expert with SQL/T-SQL and Python Must have experience in Kafka Define and implement data models with various database technologies like MongoDB, CosmosDB, Neo4j, MariaDB and SQL Serve Ingest and publish data from sources and to destinations via an API Exposure to ETL/ELT with using Kafka or Azure Event Hubs with Spark or Databricks is a plus Exposure to healthcare technologies and integrations for FHIR API, HL7 or other HIE protocols is a plus

Skills Required :

Designing, Developing, ETL, Visual Studio, Python, Spark, Kubernetes, Kafka, Azure Data Factory, SQL Server, Airflow, Databricks, T-SQL, MongoDB, CosmosDB, Snowflake, SSIS, SSAS, SSRS, FHIR API, HL7, HIE Protocols

Roles and Responsibilities:

• Initiating conversations with prospects through cold calling, emailing, and other sources.
• Have business conversations with potential customers to identify pain areas and challenges that will help in qualifying the opportunity.
• Presenting company offerings and taking the prospects through the lead generation cycle to convert them into potential opportunities.
• Moving leads through the funnel to set up meetings.
• Should be able to handle the initial customer call to identify and qualify the opportunity.
• Profiling and qualifying companies based on industries, geography, revenue, employee strength, and vertical.
• Extensively knowledgeable in secondary research on companies and decision-makers using different market research tools like LinkedIn, ZoomInfo, etc.
• Proficient in the use of CRM to track daily sales activities.
• Should have strong research capabilities and a good understanding of the North American market, industries, and IT Services.
• Identifying Decision-makers, and influencers in department-wise and collecting required information like email id, contact number, domain, responsibilities, etc.

Skillsets Required:

• Strong communication skills – verbal and written for telephonic and email exchanges.
• Strong desire and a go-getter attitude with a focus on reaching targets.
• Should have experience in IT Cold calling US/Canada Region minimum of 2 years.
• Great interpersonal Skills & should be a team player.
• Good proficiency in LinkedIn Navigator, Salesforce, ZoomInfo, and MS Office (Outlook, Word, PowerPoint, Excel)

• NLU, Text, Speech, Image Processing
• Excited about Machine Learning and AI
• Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
• Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
• Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
• Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
• Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
• Partner with Engineering to provide the infrastructure and services required to enable innovation
• Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
• Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
• Fully understand our customer's service needs and ensure we meet these needs

Preferred Qualifications

• NLU, Text, Speech, Image Processing
• Excited about Machine Learning and AI
• Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
• Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
• Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
• Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
• Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
• Partner with Engineering to provide the infrastructure and services required to enable innovation
• Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
• Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
• Fully understand our customer's service needs and ensure we meet these needs
• No matter your role in our team, you will find yourself in an exciting and challenging environment where every person is empowered to show initiative, be outspoken, and be proactive and not reactive. Oracle is dedicated to the continual growth and development of its staff, striving constantly to strengthen our expertise as well as develop new skills. Our team is spread all around the world in four continents - we provide a full range of opportunities and challenges to apply your kills and grow your career in this new and exciting arena.

We are hiring a Technical Business Analyst who wants to advance their knowledge and experience in Privacy & Security. The ideal candidate will have interest and experience in data privacy and application & data security. We will be providing training resources to ramp up on privacy & security, but candidates with technical background, and interest in privacy & security are preferred.

As the successful candidate, you will be required to: 

• Gathering and documenting needs and use of data from internal and external stakeholders, including privacy requirements based on laws & regulations, document security best practices and requirements.
• Research, analyze, and document business requirements. Prepare high quality analysis such as summarizing security best practices, privacy laws, business requirements specifications, functional and technical specifications, traceability matrices, etc.
• Create user stories based on functional requirements gathered from business teams.
• Work with developers and support teams to resolve defects and environment issues
• Creating data and process workflows.
• Good communication and problem-solving skills.
• Engage and work closely with development team and stakeholders, including attending scrum meetings.

To be eligible for this role, you should possess the following: 

• Bachelor’s or Engineering Degree in Computer Science or a related field.
• 4+ years of relevant experience as a Business Analyst.
• 2+ years of experience using JIRA and Confluence.
• Should have good communication and presentation skills with the ability to adapt to a range of audiences
• Must be self-driven, self-motivated with good soft skills.
• Must have good software engineering skills, thorough knowledge of SDLC, STLC.
• Excellent organizational and time management skills
• Quick learner and attention to detail
• Portray strong analytical and problem-solving skills and the ability to work within a collaborative team environment; Ability to multi-task and manage multiple projects
• Open for new challenges and learning and flexible to work and support the team as per the business need
• Understand and analyze Business, Functional, and technical requirements of the project
• Knowledge in using any of the bug tracking tool like Bugzilla/Jira

VELOSIO

Velosio is your partner in leveraging Microsoft Cloud and Dynamics business solutions that will resolve your business challenges and help you stay relevant and modern. These solutions include Microsoft Dynamics 365, Business Central, Power Platform and Office 365. We also provide Oracle NetSuite, Cloud managed services, a range of support offerings, consulting, and partner programs.

https://www.velosio.com/">https://www.velosio.com/

Job Description

Job Summary:

The Dynamics 365 Business Central/NAV Solution Architect is responsible for leading the technical direction on Microsoft Dynamics 365 BC and NAV development projects. Working with Product Management, NAV Consultants, Project Managers, and others on preparing estimates and Custom Development. The ability to scope out work, manage and in some cases delegate and oversee other developers work. Quality control and testing.

In addition to the necessary skills and experience to perform the responsibilities outlined above, there are several traits that a successful candidate will possess.

• Accounting Knowledge
• Functional/Technical design documents creation and testing of core Dynamics 365 Business Central Apps
• Work with internal stakeholders to understand the functional requirements and scope out modifications and custom development
• Convert functional requirements to technical specifications and design documents
• Make technical recommendations for installation, modifications and custom development
• Ensure development best practices are adhered to by other team members
• Conduct Code Reviews and mentor other team members
• Communicate effectively in all mediums and to all levels within the organization.
• Technical Requirements:
• Minimum of 12+ years of Dynamics NAV Development and/or Dynamics 365 Business Central experience
• Strong knowledge of C/AL, and experience with AL
• Understanding of Events and Subscribers Dynamics NAV Web Services
• HTML 5 Experience
• .NET Experience
• Experience participating in Work Scoping & Estimation
• Strong understanding of the SDLC
• Excellent communication, planning and organization skills