

Qylis
https://qylis.com/Jobs at Qylis

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 3 years of professional experience in developing and deploying AI/ML solutions.
- Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Transformers.
- Hands-on experience with at least one Python web framework (FastAPI or Flask) for building APIs and backend services.
- Solid understanding of machine learning algorithms, deep learning architectures, and GenAI concepts.
- Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).
- Proven experience working with the Azure cloud platform and its AI/ML and container services.
- Familiarity with data engineering concepts and tools for data processing and preparation.
- Experience with CI/CD pipelines and DevOps practices.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Experience with MLOps practices and tools for managing the ML lifecycle.
- Familiarity with other cloud platforms (e.g., AWS, GCP).
- Experience with specific AI/ML application domains (e.g., NLP, computer vision, time series analysis).
- Contributions to open-source AI/ML projects.
- Relevant certifications in AI/ML or cloud technologies.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

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.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

What You Need:
✅ Strong experience in backend development using Python (Django, Flask, or FastAPI).
✅ Hands-on experience with Azure Cloud services (Azure Functions, App Services, AKS, CosmosDB, etc.).
✅ Experience leading a development team and managing projects.
✅ Expertise in designing and managing APIs, microservices, and event-driven architectures.
✅ Strong database experience with MongoDB, PostgreSQL, MySQL, or CosmosDB.
✅ Knowledge of DevOps practices, including CI/CD pipelines, Docker, and Kubernetes.
✅ Ability to develop Proof of Concepts (POCs) and evaluate new technology solutions.
✅ Strong problem-solving and debugging skills.

Similar companies
About the company
CoffeeBeans Consulting is a technology partner dedicated to driving business transformation. With deep expertise in Cloud, Data, MLOPs, AI, Infrastructure services, Application modernization services, Blockchain, and Big Data, we help organizations tackle complex challenges and seize growth opportunities in today’s fast-paced digital landscape. We’re more than just a tech service provider; we're a catalyst for meaningful change
Jobs
3
About the company
We're a b2b SaaS early-stage startup that received pre-seed funding without a single slide in place! We are currently building our first product- a complete end-to-end S2P (source to pay) solution that modernizes and simplifies the interaction between suppliers and buyers while integrating into the client's ERP and accounting systems.
Our core team comprises alumni from MIT, Stanford, UCL, McKinsey, and Amazon. Ours is a small engineering team that is growing quickly, where each member's contribution matters immensely and impacts product development directly. We believe that FactWise as a collective grows and succeeds as the individuals that comprise it grow and succeed, and work to create and maintain a culture of trust, authenticity, support, healthy debate, accountability, holistic feedback, and having fun! We are looking to be joined by passionate self-starters who can grow into future leaders of FactWise!
Jobs
4
About the company
Data Axle is a product company that offers various data and technology solutions, including software-as-a-service (SaaS) and data-as-a-service (DaaS). These solutions help businesses manage and leverage data for marketing, sales, and business intelligence.
They are data-driven marketing solutions provider that helps clients with clean data, lead generation, strategy development, campaign design, and day-to-day execution needs. It solves the problem of inaccurate and incomplete data, enabling businesses to make informed decisions and drive growth. Data Axle operates in various industries, including healthcare, finance, retail, and technology.
About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global center of excellence in Pune. This center delivers mission
critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.
Data Axle India is recognized as a Great Place to Work!
This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive.
Jobs
3
About the company
Jobs
19
About the company
OIP Insurtech streamlines insurance operations and optimizes workflows by combining deep industry knowledge with advanced technology. Established in 2012, OIP InsurTech partners with carriers, MGAs, program managers, and TPAs in the US, Canada, and Europe, especially the UK.
With 1,200 professionals serving over 100 clients, we deliver insurance process automation, custom software development, high-quality underwriting services, and skilled tech staff to augment our clients.
While saving time and money is the immediate win, the real game-changer is giving our clients the freedom to grow their books, run their businesses, and focus on what they love. We’re proud to support them on this journey and make a positive impact on the industry!
Jobs
5
About the company
Ven Analytics – Derived from the Sanskrit word वेण् meaning “to know”. We are a media focused Analytics company and we build applications and dashboards beyond imagination. Our services and products are laser focused to solve Analytics problems FOR Broadcasters, Agencies and Advertisers.
Agile Startup
Our agility helps us percolate through the hierarchy and rapidly deploy solutions for bottommost contributor
Best of Both
A through understanding of business and technology sets us apart from our competitors
Young and Vibrant
Being a young organization we are eager to take up new challenges and make sure we custom deliver them as requested
VISION
Our vision is to become the destination AdTech company for the entire M&E sector
MISSION
We are on a perpetual mission to solve big problems and deliver exponential value to our clients
Jobs
5
About the company
The Company
At Palcode.ai, We're on a mission to fix the massive inefficiencies in pre-construction. Think about it - in a $10 trillion industry, estimators still spend weeks analyzing bids, project managers struggle with scattered data, and costly mistakes slip through complex contracts. We're fixing this with purpose-built AI agents that work. Our platform can do “magic” to Preconstruction workflows from Weeks to Hours. It's not just about AI – it's about bringing real, measurable impact to an industry ready for change. We are backed by names like AWS for Startups, Upekkha Accelerator, and Microsoft for Startups.
Jobs
3
About the company
Jobs
5
About the company
Jobs
9