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Opportunity to work on Product Development
About the job
o Candidate will be in leading role to thoroughly understand client requirements and expedite functional and technical design for the overall planning solution; lead team of experienced and novice to deliver solutions meeting client expectations.
o Candidate must be well versed with Feedstock ranking (Indifference), Rolling Plans, Back-casting, configuration selection and plant debottlenecking studies, update of multi-period, multi-plant linear programming models.
o Candidate should have worked in Refinery and Petrochemical companies (in Production Planning, Technical Services division) and /or delivered Planning solution to Oil and Gas clients in consulting assignments.
o Candidate should have knowledge of refinery / petrochemicals plant configurations, their economics, blending operations, yield accounting, crude blending, product distribution, crude arrival sequencing.
𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:
Develop, deploy and maintain cloud applications on AWS
Manage production environments, deployments, monitoring, and issue resolution
Build and maintain CI/CD pipelines and automate infrastructure
Support cloud operations, performance optimization, and incident management
Collaborate across teams to ensure reliable and secure delivery
𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞 𝐒𝐤𝐢𝐥𝐥𝐬:
Hands-on experience with AWS – EC2, S3, VPC, RDS, Lambda, IAM, CloudWatch
Strong experience in development + production operations
Experience with Linux and Shell/Python scripting
Infrastructure automation using Terraform / CloudFormation
CI/CD experience (Jenkins / GitHub Actions / GitLab CI)
Experience in cloud security, networking, monitoring, and troubleshooting
Experience with AWS AI Services(Amazon Bedrock, SageMaker, Rekognition, Textract, Comprehend, etc.)
Hands-on exposure to OpenAI tools/APIs and AI-assisted development workflows
Experience using AI tools for design, development, automation, and implementation
Exposure to Docker / Kubernetes is preferred
𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧:
𝐀𝐖𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 – 𝐀𝐬𝐬𝐨𝐜𝐢𝐚𝐭𝐞 or relevant AWS certificate
Education Qualification:
B.Tech/M.Tech from CSE/IT/AI/ML/ECE
Salesforce Tech Lead
6+ yrs
Any 360 location - Hybrid
Can Join within 15-20 days
strong in LWC
Must have experience in Aura
Strong in Integration
Strong in Deployment
Must be able to handle complex data
Should be able to manage a team
Should understand Integration
Must be able to coordinate with multiple stakeholders
About Medvarsity
Medvarsity is a leader in healthcare education, specializing in upskilling professionals with innovative digital learning solutions. We are expanding our Inside Sales team to help drive growth and support our learners.
Key Responsibilities
- Handle inbound and outbound sales calls with prospective and existing customers.
- Engage in tele sales activities to promote Medvarsitys healthcare courses and products.
- Achieve monthly and quarterly sales targets set by the management.
- Maintain strong follow-up with leads through calls, emails, and messages.
- Understand customer requirements, provide product information, and guide them through enrollment.
- Learn about new courses and healthcare related educational products to effectively communicate with clients.
- Update daily sales reports and customer details in the CRM system.
- Collaborate with the marketing team for effective lead management.
Required Skills & Attributes
- Excellent spoken communication skills in both English and Hindi.
- Ability and willingness to engage in outbound (cold calling) and inbound sales calls.
- Quick learner and receptive to training in healthcare education products.
- Confident, persuasive, and target-oriented approach.
- Basic computer and CRM software skills.
- Resilience to handle objections and turn prospects into enrollments.
Qualifications
- Graduation in any discipline (preferred, not mandatory for exceptional communicators).
- Prior experience in inside sales, tele sales, or customer service is a plus. Freshers showing strong communication are welcome
- EdTech industry or similar kind of B2C sales would be preferable.
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.
This is a full-time on-site role for a Project Architect. The Project Architect will be responsible for managing projects.The Project Architect will contribute to the design and development of architectural projects, collaborate with internal teams and external stakeholders, and ensure projects are executed efficiently and effectively.
- QualificationsStrong background in Architecture and Project Management
- Excellent organizational and leadership skills
- Ability to effectively communicate and collaborate with multidisciplinary teams
- In-depth knowledge of construction and building codes
- Detail-oriented with a strong focus on quality and accuracy
- Experience in the interior design industry is a plus
- Bachelor's or Master's degree in Architecture or related field
We are looking for a motivated full-stack engineer who is proficient in both front-end and back-end technologies. Responsibilities include designing, building, and maintaining web applications, databases, and APIs that enable businesses to operate efficiently.
Responsibilities
- Develop, test, and deploy fast and scalable web apps.
- Designing and maintenance of fully functional large relational and non-relational databases.
- Timely deployment of web apps on the cloud.
- Server management and cloud-based infrastructure.
- Establishment and integration of development tools as required.
- Conducting code reviews of peer developers.
Requirements
- 2 years in MEAN Stack Development.
- Expertise in technologies - MongoDB, ExpressJS, and NodeJS.
- High-quality programming skills for a robust design.
- Experience in application architecture, server management, cross-browser compatibility, responsive design, and website performance.
- Understanding of DB architecture design and programming templates, Agile methodologies, and client-side and server-side procedures.
- BE/ B. Tech/ MCA.
Position Summary:
Job Title: Angular Developer
Experience: 4+ Years
Mode of Hire: Permanent
Notice Period: Max. 15 - 30 Days (Early Joiners are preferred).
What we are looking for?
Should have overall 4+ years of IT experience
Experience working on Angular (4 and above version)
Experience working on Javascript, JQuery
Experience working on NGRX.




