Audio Engineer

Layer Tech Solutions is hiring a Web Developer with 1–3 years of experience

• Responsible for designing, developing, and maintaining responsive web applications
• Must have strong skills in HTML, CSS, and JavaScript
• Experience with modern frameworks like React or Angular preferred
• Knowledge of backend technologies (Node.js, PHP) is a plus
• Looking for proactive, team-oriented individuals
• Opportunities to learn and grow in a dynamic environment
• Passion for clean, scalable code is highly valued
• Full-time position with competitive benefits

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.

Key Responsibilities:

Full-Stack Development:

• Engage in end-to-end development activities, from requirements gathering to deployment, ensuring high-quality deliverables.
• Perform hands-on development using a mix of technologies including Angular 13+, Java / Springboot, Fast API, and SQL.
• Collaborate with cross-functional teams to integrate front-end interfaces with back-end services and databases.

Team Leadership & Collaboration:

• o Work closely with the Tech Lead / Solution Architect and Product Manager to help design and implement scalable and robust solutions leveraging Angular 13+, Java / Springboot, Microservices, Fast API, Java Reactive Programming, and SQL.
• Assist in driving the architectural vision, ensuring alignment with business goals and provide technical guidance, participate in code reviews, and ensure adherence to best practices and coding standards.
• Evaluate and recommend technologies and tools to optimize system performance, security, and reliability.

Databases & Data Management:

• Demonstrate expertise in working with databases such as MongoDB, PostgreSQL, Azure Blob Storage, Neo4j (GraphDB is a plus), and Azure CosmosDB.
• Design efficient database schemas, optimize query performance, and ensure data integrity and security.

Cloud Platform & Infrastructure:

• Proficiency in Microsoft Azure, including the deployment, management, and optimization of cloud-based solutions.
• Experience with containerization, orchestration, and Kubernetes Lens for managing containerized applications.

Tools & Collaboration:

• Utilize tools such as GitHub for version control, JIRA for project management, Confluence for documentation, Keycloak for identity and access management, and other relevant tools to streamline development and collaboration processes.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of hands-on experience in full-stack development.
• Strong expertise in Angular 13+, Java / Springboot, Microservices, Fast API, Java Reactive Programming, SQL.
• Proven experience with databases including MongoDB, PostgreSQL, Azure Blob Storage, and Azure CosmosDB.
• Strong communication and collaboration skills.
• Experience with Agile development methodologies.
• Understanding of the Microsoft Azure cloud platform and associated services.
• Relevant certifications (e.g., Azure / AWS Certifications etc.;) are a plus.

Job Description:

Excellent Java development skills using J2EE, J2SE, Servlets, JSP, JDBC, Java, Spring, Springboot, Hibernate, Microservices, Webservices, Extensive experience designing, developing RESTful APIs, coding experience with either Java/J2EE/Spring, Good SQL knowledge

Required experience in Core Java, Spring, Springboot, Hibernate, Microservices, rest services

Able to understand SDLC process, Extensive experience designing and, developing RESTful APIs, Extensive coding experience with either Java/J2EE/Spring

Qualification Any Graduate

• 10+ years developing and designing software products, and demonstrated experience with full software development lifecycle, ideally in a regulated industry
• Strong computer science fundamentals in OOAD, design patterns, data structures, and algorithms
• Fluency in a high-level object oriented programming language (e.g. Java, C#, Golang, C++)
• Strong understanding of professional software engineering best practices for the full SLDC including coding standards, code reviews, source control, build processes, testing, and operations.
• Experience designing and developing scalable, highly available distributed systems / services
• Expertise with services and microservices solution design and delivery covering API design, containerization, and application integration / messaging.
• Expertise with design and delivery of cloud native solutions on any of the major cloud platforms (AWS, Azure, GCP).
• Expertise with algorithm development in one or more of the following areas: numerical & statistical analysis, signal processing, image processing, regression, and machine learning.
• Practical experience with SCRUM, SaFe or other applicable agile framework in regulated environments.
• Experience in design, engineering, and testing of software contained in medical devices developed under the FDAs regulations for 510(k) or PMA products is preferred. 
• Superior communications skills (oral & written)
• Outstanding interpersonal skills, and effective collaboration

Primary Job Function:

• Works in a lead role in one or more aspects of the overall software development process (such as software design, code development) under a disciplined product development process that meets FDA requirements.
• Works independently on identifying new technologies and creating systems designs for implementation into new product development and process improvements.
• Exercises independent judgment in identifying, recommending and implementing significant and/or complex new tools/process improvements to meet company objectives in areas of new product development, product testing, process improvement and compliance with regulatory requirements.
• Readily adjusts priorities and works within team environment for timely completion of common objectives for multiple projects.
• Resolve significant and/or complex technical issues to meet company objectives.

Main Responsibilities:

• Technical leadership in cloud services / systems software development (such as software design, code development, design review, code review, and testing) including project scheduling activities.
• Reliably deliver high quality software within schedule constraints.
• Provides technical ownership of software products.
• Actively participates in product development teams for the development of new products and services.
• Interacts with QA engineers to ensure that software products are robust and of very high quality.
• Research technical issues and propose technical approaches that achieve product and quality requirements.
• Participate in the full life cycle of development, from specification and design through implementation, testing, and support.
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
• Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results.

Minimum Education:

• Bachelors in Computer Science, Software Engineering, or related engineering or scientific field.

Minimum Experience:

• 10 years relevant experience and a Bachelors degree or 5 yrs with MS degree. Will receive additional 2 years experience credit for PhD.
• Good knowledge of software engineering principles.
• Excellent written and verbal communication skills are essential..
• Excellent troubleshooting skills are a must. Strong debugging techniques and experience on using debugger is required and/or use of testing tools to ensure high level of quality of software product.
• Strong working knowledge of the principles of quality software engineering as described by software lifecycle development processes that are consistent with ISO, IEEE, or other FDA recognized standards.
• Experience w/ distributed computing / services (preferably cloud native) software design and development is highly preferable.