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Hi

Profile : Network Support Engineer

Experience - 3+ years

Timing - Thurs-Mon: 10:30PM to 7:30 AM

https://www.thinksys.com/

 Location: NOIDA, Sec-62 ( Work from Office)

Expertise & Hands on experience with the following:

• Creating new infrastructure from scratch
• Excellent working experience of LAN, WAN management and network devices
• Linux Server installation and drivers installations configuration
• Network troubleshooting in both windows, linux environments.
• Troubleshooting of WiFi Networks
• Solid understanding of networking concepts and protocols, including TCP/IP, DNS, DHCP, BGP, OSPF, VLANs, and VPNs.
• Perform network diagnostics using tools such as Wireshark, tcpdump, and SNMP.
• Investigate security incidents and implement measures to mitigate risks. ○ Participate in on-call rotation to provide support for network emergencies.
• Working experience to manage the complex network infrastructure.
• Experience to do automation to manage network devices using scripting.
• Strong analytical and problem-solving skills with the ability to quickly diagnose and resolve network issues.
• Cisco CCNA or equivalent certification is a plus.

Scripting for automation ○ Python ○ Bash

Non-Functional Requirements: 

• Performs regular audits of server security and websites exposed outside to the world.
• Documenting any processes which employees need to follow in order to successfully work within our computing system.
• Experience supporting technical teams (e.g., developers and/or IT teams)
• Strong attention to details of problems and ability to navigate complex issues in high pressure situations
• The ability to effectively collaborate with various internal teams
• Excellent critical thinking and problem solving skills.
• Ensures all the problems are resolving in a timely manner and following SLAs.
• Ability to prioritize a wide range of workloads with critical deadlines.
• Experience in a 24x7 environment.
• Good communication skills

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.

About the Role:

As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.

Key Responsibilities:

• Data Ingestion and Preparation:
• Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
• Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
• Exploratory Data Analysis (EDA):
• Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
• Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
• Feature Engineering:
• Create relevant features from raw data to enhance model performance and interpretability.
• Explore techniques like feature selection, normalization, and dimensionality reduction.
• Model Development and Training:
• Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
• Evaluate model performance using appropriate metrics and iterate on the modeling process.
• Model Deployment and Monitoring:
• Deploy trained models into production environments using GCP's ML tools and infrastructure.
• Monitor model performance over time, identify drift, and retrain models as needed.
• Collaboration and Communication:
• Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
• Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.

Required Skills and Qualifications:

• Strong proficiency in Python or R programming languages.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
• Familiarity with machine learning algorithms and techniques.
• Knowledge of data visualization tools (e.g., Tableau, Looker).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
• Knowledge of distributed systems and scalable data architectures.
• Experience with natural language processing (NLP) or computer vision applications.
• Certifications in Google Cloud Platform or relevant machine learning frameworks.

About Company

Our client is an integrated workforce management software platform offering intelligent automation for daily work orders management, housekeeping activities, facility maintenance, scheduling & labor management, and time & attendance purpose-built for the hospitality market and another dynamic scheduling environment.

Responsibilities

• Monthly book reviews and analysis of accounting books for India and Overseas entities - UK, US, Singapore & China.

• In charge of inter-company transactions and reconciliation.

• Perform monthly, quarterly and year-end closing, and preparation of financial statements – standalone and consolidated.

• Assist in developing/maintaining monthly reports of revenues and expenditures.

• Coordinate with foreign entities’ accountants, consultants and auditors for timely financial reporting and filing.

• Convening of Statutory audits for all the regions – India, UK, US, Singapore and China.

• Review and interpret financial reporting requirements, rules and regulations.

• Statutory compliance management like direct taxes, indirect taxes as well as payroll taxes for various geographies.

• Helps with different accounting fields, including accounts receivable, accounts payable, fixed assets, journal entry review, etc.

Requirements

• Chartered Accountant with 4 to 7 years of relevant years of experience.

• Proficiency in Microsoft Office Suite (MS Excel & MS Word).

• Effective oral and written communication skills. Strong command over written and spoken English.

• Strong hands-on experience in General ledger transactions, preparation of financial statements and MIS reporting.

• Experience in convening statutory audits.

• Experience in Transfer Pricing will be a value add

• Expert in SAP master data/integration related experience
• Has participated in at least two large information transformation engagements
• ​Ability to work with and collaborate with all Teams and Individuals in the Business Teams and the SAP Teams toward developing a best practice data creation, maintenance, governance, quality, and efficiencies
  ​

About:

Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life. 

Role:

B2B Marketing Generalist

Description:

This role will be a mix of client management and project management. You’ll be expected to understand the client’s goals, weekly and monthly SLAs, and lead a team to delivery. Have you worked with marketing and sales teams in an integrated manner and targeted enterprise clients in different geographies across the globe? Do you understand enterprise sales cycles, buying processes, different roles? Do you have exposure to different domains, industries, marketing, and sales technologies? Do you understand the big picture better than the details? This job might be for you! 

Competencies:

• Able to multitask independently with minimal supervision
• Naturally able to think critically and take independent decisions
• Meticulous with project documentation

Skills:

• Experience with social media, digital marketing, marketing automation, CRM, and marketing analytics tools
• Highly proficient with Microsoft Office (Excel, PowerPoint)
• Experience with agile project planning and management will be a plus

Experience:

• Demonstrable B2B GTM experience that includes SEO/SEM, email marketing, social media, and/or display advertising campaigns.
• Highly creative with experience in identifying target audiences and devising marketing campaigns that engage, inform, and motivate.
• Ability to write/execute creative and project briefs and communicate technical info with ease.

Location and Type: 

Remote, Full-time

Evaluation:

Portfolio will be checked for expertise on handling marketing communication and campaigns in the B2B domain. Please share only samples of work done by yourself end-to-end. Shortlisting will be followed by a video interview.