Qylis
https://qylis.comAbout
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Python
Docker- 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.
PythonData 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.
Python
DjangoWhat 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.
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We are designers, artists, creators, researchers, visualizers and observers; well a bunch of driven individuals with creative minds, working together as User Interface and User Experience Designers!
At Monsoonfish, we believe in working in an environment that suits each teammate, makes them feel comfortable and encourages them to become a better version of themselves at work and beyond. Our agency culture is open, liberal, accepting, outgoing, driven, focused, and the one that values work-life balance.
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About the company
About Us
Incubyte is an AI-first software development agency, built on the foundations of software craft, where the “how” of building software matters as much as the “what”. We partner with companies of all sizes, from helping enterprises build, scale, and modernize; to pre-product founders bring their ideas to life.
Incubees are power users of AI across the SDLC for speed and efficiency. Guided by Software Craftsmanship values and eXtreme Programming practices, we bring velocity together with the discipline of quality engineering to deliver high-impact, reliable solutions – fast.
Guiding Principles
- Living and breathing our guiding principles on a daily basis is key to success at Incubyte:
- Relentless Pursuit of Quality with Pragmatism
- Striving for exceptional quality without losing sight of practical delivery needs.
- Extreme Ownership Taking full responsibility for decisions, work, and outcomes.
- Proactive Collaboration Actively seeking opportunities to collaborate and leverage the team’s collective strengths.
- Active Pursuit of Mastery Continuously learning, improving, and mastering the craft, never settling for ‘good enough’.
- Invite, Give, and Act on Feedback
- Creating a culture of timely, respectful, actionable feedback for mutual growth.
- Ensuring Client Success Acting as trusted consultants and focusing on delivering true value and outcomes for clients.
Job Description
This is a remote position
Experience Level
This role is ideal for engineers with 5+ years of total experience, including strong hands-on software development experience and 1+ year of technical leadership experience, with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
Role Overview
As a Senior Engineer, you’ll ensure that projects don’t just get built — they get shipped. You’ll be the driving force behind architecture design, technical decision-making, project delivery, and stakeholder communication.
A Senior Craftsperson is a multiplier for any team:
- Able to independently own ill-defined, highly ambiguous projects.
- Thinks holistically across Product, Design, Platform, and Operations to deliver highly impactful solutions.
- Shapes roadmaps to tackle complex problems incrementally.
- Raises the quality, correctness, and suitability of their team’s work, with visible impact across their business domain and beyond.
- Strong mentor, role model, and coach for other engineers.
If you take pride in shipping high-quality software, mentoring teams, and creating an environment where engineers can thrive, we’d love to hear from you.
What You’ll Do
- Lead projects end-to-end, from architecture to deployment, ensuring timely, high-quality delivery.
- Collaborate with Engineering and Product Managers to plan, scope, and break work into manageable tasks.
- Always know if the project can ship, with clear trade-offs when needed.
- Drive technical decisions with a shipping-first mindset and active participation in key meetings.
- Maintain deep knowledge of your services, identifying risks and creating mitigation strategies.
- Review code for quality and best practices, mentoring engineers to improve their craft.
- Communicate clearly with stakeholders, set realistic expectations, and build trust.
- Support and guide engineers, helping unblock issues and foster collaboration.
- Anticipate challenges, prepare fallback plans, and facilitate problem-solving.
- Keep documentation accurate, up-to-date, and accessible.
You will also:
- Lead highly ambiguous projects of critical business impact, balancing engineering, operational, and client priorities.
- Link technical contributions directly to business impact, helping the team and stakeholders align.
- Contribute meaningfully to team goals, with visibility into business objectives over multiple quarters.
- Ensure safe rollout of new features through incremental releases, monitoring, and metrics.
- Anticipate and mitigate risks across connected systems, ensuring minimal operational impact.
- Proactively improve system quality and longevity while leveling up those around you.
- Shape roadmaps, vision, and practices of the engineering discipline, influencing both your team and the wider business.
Requirements
What We’re Looking For
- 5+ years of software development experience, with strong architectural design skills.
- Strong hands-on experience with Python and PHP (must-have) and react.js (good-have).
- 1+ year in a technical leadership role, managing pods or cross-functional teams.
- Proficiency in system design, service ownership, and technical documentation.
- Strong experience with code reviews and quality assurance practices.
- Proven ability to communicate effectively with technical and non-technical stakeholders.
- Track record of delivering complex projects on time.
You will also bring:
- Ability to own large, complex projects with widespread impact.
- Demonstrated influence beyond the immediate team, shaping outcomes across a business domain.
- Strengths in stakeholder management and navigating complex scenarios.
- Skills in deliberate discovery to uncover unknowns and design solutions that succeed in real-world conditions.
Benefits
What We Offer
Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.
Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk.
Cutting-Edge Projects: Work on exciting projects with the latest AI technologies
Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.
Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind.
And More: Extra perks to support your well-being and professional growth.
Work Environment
- Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards our customers recognize us by. With asynchronous tools and push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results.
- Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered.
- Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team.
Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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