Sales Executive

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

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Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

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Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

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Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

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Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

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Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

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Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

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Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

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Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

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Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

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Mandatory (Age) - Candidate's Age should be below 37 years.

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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

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Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

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Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

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Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Job Title: Lead DevOps Engineer

Experience Required: 8+ years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

8+ years of experience in DevOps or Site Reliability Engineering (SRE).

3+ years in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

Job description

We are seeking a skilled Level 1/Level 2 SAS Administrator with at least 3 years of experience to provide technical support to our US-based clients. This is an onsite role requiring availability during night shifts (US time zones). The successful candidate will be responsible for managing and maintaining SAS environments, troubleshooting technical issues, performing installations and upgrades, and ensuring optimal system performance. This role demands strong analytical and problem-solving skills to resolve complex challenges while providing proactive and reliable support.

Key Responsibilities:

• SAS Environment Management: Administer SAS servers and tools, including configuration, performance tuning, and routine maintenance of SAS applications.
• SAS Grid Management: Manage SAS Grid environments, ensuring efficient workload balancing and high availability.
• Metadata Management: Manage SAS metadata, including user account creation, role assignment, permissions, and library configuration.
• Issue Troubleshooting: Diagnose and resolve SAS server and application issues such as performance bottlenecks, user access problems, and system errors.
• System Administration: Perform SAS installations, upgrades, hotfixes, and patch management across development, testing, and production environments.
• SAS Migration & Upgrade: Plan and execute SAS environment migrations and upgrades with minimal downtime.
• Batch Job Management: Schedule and monitor batch jobs using tools such as SAS Flow Manager or LSF to ensure timely data processing and adherence to SLAs.
• Backup and Recovery: Conduct regular metadata and system backups, validate backup integrity, and manage restoration processes during disaster recovery scenarios.
• Incident Management: Manage tickets (e.g., P1, P2) for SAS-related issues using ITSM tools like ServiceNow or JIRA, ensuring timely resolution and communication updates.
• Security Management: Implement and review security policies, renew SAS licenses and SSL certificates, and conduct periodic access audits.
• Monitoring and Maintenance: Monitor SAS server health, analyze usage metrics and logs, and proactively address potential issues.
• Documentation: Develop and maintain comprehensive documentation for SAS environment configurations, troubleshooting procedures, and operational processes.

Required Qualifications:

• Minimum of 3 years of hands-on experience in SAS Administration, managing enterprise-level SAS environments.
• Expertise in SAS tools such as SAS Management Console, SAS Enterprise Guide, and SAS Studio.
• Strong understanding of operating systems (Linux/UNIX, Windows) and database systems (e.g., Teradata, Oracle, SQL).
• Experience with batch job scheduling and monitoring tools (e.g., Flow Manager, BMC Control-M).
• Proven experience troubleshooting SAS environment issues, including metadata management and performance tuning.
• Experience in SAS Grid, SAS Metadata, SAS Migration, and SAS Upgrades.
• Excellent verbal and written communication skills, with the ability to effectively interact with US-based clients.
• Willingness to work onsite during night shifts in alignment with US time zones.

If you are a dedicated SAS Administrator looking to work in a challenging and rewarding environment, we encourage you to apply.

Job Overview:

The Personal Assistant will be responsible for managing schedules, arranging meetings, handling correspondence, and performing various administrative tasks.

Roles & Responsibilities:

Calendar Management:

Organize and manage the executive's calendar, including scheduling meetings, appointments, and travel arrangements.

Coordinate and confirm appointments, ensuring the executive's schedule is optimized.

Communication:

Screen and direct phone calls and emails to appropriate parties.

Prepare and draft emails, letters, memos, and other documents on behalf of the executive.

Meeting Coordination:

Arrange and coordinate meetings, conferences, and events.

Prepare meeting agendas, take minutes, and distribute them to participants.

Ensure necessary resources and materials are prepared for meetings.

Travel Arrangements:

Perform general clerical duties, including photocopying, faxing, filing, and data entry.

Maintain and organize office files and documents.

Handle expense reports and petty cash management.

Confidentiality:

Handle sensitive information and maintain confidentiality at all times.

Qualifications:

Proven experience as a Personal Assistant or similar administrative role.

Excellent organizational and time management skills.

Strong verbal and written communication skills.

Proficiency in MS Office (Word, Excel, PowerPoint, Outlook).

Ability to multitask and prioritize tasks effectively.

Attention to detail and high level of accuracy.

Discretion and trustworthiness are essential due to the nature of the role.

Education:

A bachelor's degree in business administration or a related field is preferred but not mandatory. Relevant work experience will be considered.

About US -:

Webmobril is One of the top-notch IT companies based in Delhi, NCR; India and also established in the US. Offering exclusive and affordable Web, Mobile, and Game app development, Cyber Security Assessment, Digital Marketing services globally. Recently we started Staffing Services and Travel & Tourism services . We are a team of experienced, dedicated enthusiastic, innovative, and creative professionals to serve a range of business goals with our advanced tools and technologies.

For more detail you can go through our company website:

https://www.webmobril.com/

• Handling entire recruitment cycle from sourcing, screening, joining formalities, documentation, exit formalities
• Planning and organizing training programs for employees
• Assisting with the payroll process, benefits, compensation and employee performance appraisals
• Resolving employees’ queries on compensation and labour regulations
• Tracking and accounting for all deductions like PF, Professional Tax etc.
• Processing and maintaining HR documents as per statutory requirements and employment laws
• Ensuring timely updating of HRMS software
• Developing and implementing HR policies and procedures
• Compiling and analysing data for HR Metrics
• Handling Grievances and Employee counselling
• Handling all HR related Audits for the organisation
• Evaluating and improvising the current HR policies in line with the business and organization requirements

Desired Candidate Profile

• Graduation / MBA in HR
• Proven experience as an HR Generalist
• Understanding of general human resources policies and procedures
• Outstanding knowledge of MS Office
• Excellent communication and people skills
• Aptitude in problem-solving
• Ability to work comfortably under pressure and meet tight deadlines
• Desire to work as a team with a result-driven approach
• Additional HR training will be a plus

We are Hiring Windows Developers

Experience : 4+years

Primary Skills : Experience with MVVM,WPF,XAML,C# .net

Job Code : "PR1009"

Location : Pan India

NP- Immediate to 15 days

#Windows #wpf #winforms #mvvm #C#

JD : ML/NLP Tech Lead

- We are looking to hire an ML/NLP Tech lead who can own products for a technology perspective and manage a team of up to 10 members. You will play a pivotal role in re-engineering our products, transformation, and scaling of AssessEd

WHAT ARE WE BUILDING :

- A revolutionary way of providing continuous assessments of a child's skill and learning, pointing the way to the child's potential in the future. This as opposed to the traditional one-time, dipstick methodology of a test that hurriedly bundles the child into a slot, that in-turn - declares- the child to be fit for a career in a specific area or a particular set of courses that would perhaps get him somewhere. At the core of our system is a lot of data - both structured and unstructured. 

- We have books and questions and web resources and student reports that drive all our machine learning algorithms. Our goal is to not only figure out how a child is coping but to also figure out how to help him by presenting relevant information and questions to him in topics that he is struggling to learn.

Required Skill sets :

- Wisdom to know when to hustle and when to be calm and dig deep. Strong can do mentality, who is joining us to build on a vision, not to do a job.

- A deep hunger to learn, understand, and apply your knowledge to create technology.

- Ability and Experience tackling hard Natural Language Processing problems, to separate wheat from the chaff, knowledge of mathematical tools to succinctly describe the ideas to implement them in code.

- Very Good understanding of Natural Language Processing and Machine Learning with projects to back the same.

- Strong fundamentals in Linear Algebra, Probability and Random Variables, and Algorithms.

- Strong Systems experience in Distributed Systems Pipeline: Hadoop, Spark, etc.

- Good knowledge of at least one prototyping/scripting language: Python, MATLAB/Octave or R.

- Good understanding of Algorithms and Data Structures.

- Strong programming experience in C++/Java/Lisp/Haskell.

- Good written and verbal communication.

Desired Skill sets :

- Passion for well-engineered product and you are - ticked off- when something engineered is off and you want to get your hands dirty and fix it.

- 3+ yrs of research experience in Machine Learning, Deep Learning and NLP

- Top tier peer-reviewed research publication in areas like Algorithms, Computer Vision/Image Processing, Machine Learning or Optimization (CVPR, ICCV, ICML, NIPS, EMNLP, ACL, SODA, FOCS etc)

- Open Source Contribution (include the link to your projects, GitHub etc.)

- Knowledge of functional programming.

- International level participation in ACM ICPC, IOI, TopCoder, etc

- International level participation in Physics or Math Olympiad

- Intellectual curiosity about advanced math topics like Theoretical Computer Science, Abstract Algebra, Topology, Differential Geometry, Category Theory, etc.

What can you expect :

- Opportunity to work on the interesting and hard research problem, to see the real application of state-of-the-art research into practice.

- Opportunity to work on important problems with big social impact: Massive, and direct impact of the work you do on the lives of students.

- An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities.

- Learn effective engineering habits required to build/deploy large production-ready ML applications.

- Ability to do quick iterations and deployments.

- We would be excited to see you publish papers (though certain restrictions do apply).

Website : http://Digitalaristotle.ai


Work Location: - Bangalore