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Global Digital Transformation Solutions Provider
MUST-HAVES:
- Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
- Notice period - 0 to 15 days only
- Hybrid work mode- 3 days office, 2 days at home
SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS
ADDITIONAL GUIDELINES:
- Interview process: - 2 Technical round + 1 Client round
- 3 days in office, Hybrid model.
CORE RESPONSIBILITIES:
- The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
- Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
- Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
- Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
- System Integration: Integrate models into existing systems and workflows.
- Model Deployment: Deploy models to production environments and monitor performance.
- Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
- Continuous Improvement: Identify areas for improvement in model performance and systems.
SKILLS:
- Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
- Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
- Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
- Knowledge of model monitoring and performance evaluation.
REQUIRED EXPERIENCE:
- Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
- AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
- AWS data: Redshift, Glue
- Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)
Experience: 2–4 years
Location: Pune | WFO
Market: US / International clients
Industry: IT Services / Software / SaaS / Product Engineering
Key must-have requirements
- Excellent English Communication Fluent written and spoken English
- Comfortable directly communicating with US clients
- Able to participate in client calls and explain marketing/content ideas clearly
- Strong email and professional communication skills
- Content Writing – Strong Hands-on experience writing blogs, website content and landing pages
- B2B/technology content experience preferred
- Strong research and storytelling ability
- Can understand technical concepts and convert them into easy-to-understand business content
- Experience creating thought-leadership content
- SEO Keyword research
- On-page SEO
- Content/blog optimization
- Landing-page optimization
- Search performance analysis
- Identifying content gaps and opportunities
- Understanding of organic traffic growth
- Digital & Social Media LinkedIn — especially important for B2B IT marketing
- Facebook, Instagram and X
- Social media content creation
- Content calendar planning
- Campaign execution
- Email Marketing Email campaign creation and execution
- Newsletter management
- Brevo or similar platforms
- Basic understanding of email metrics and optimization
- Analytics Google Analytics
- Website traffic analysis
- Content performance
- Ability to interpret data and recommend improvements
- Sales/Marketing Collateral
- Candidate should be comfortable creating or coordinating:
- One-pagers
- Brochures
- White papers
- Sales decks
- Flyers
- Conference/event content
- Case studies
- IT/Technology Understanding
- Prior experience in IT Services, IT Consulting, SaaS, Software Development or Product Engineering should be strongly preferred.
- They should have at least a basic understanding of:
- Web & Mobile Development
- Product Engineering
- UI/UX
- QA/Testing
- Cloud & DevOps
- AI & Automation
- AI Tools
- Practical experience with tools such as:
- ChatGPT
- Claude
- Gemini
- Gamma
- Genspark
- Important: Candidate should know how to research, fact-check, edit and humanize AI-generated content rather than simply copy-pasting AI output.
- Basic Design
- Basic Figma knowledge
- Understanding of visual communication
- Ability to create basic visual concepts/references
- Comfortable working with graphic/UI designers
Checkpoint and Cisco Nexus( Routing & switching )
Strong exp are mandatory along with Cisco ISE
For the open Checkpoint SME position, we are looking for a candidate with L3/SME-level experience in the following technologies:
Checkpoint Firewall-must
Cisco ISE- must
Cisco Nexus (Routing & Switching)-must
Must should have strong exp and current using
Good to have:
Cisco Meraki
Cisco NDFC
Mobile Automation Test Engineer
Experience 5 – 12 Years
Location
Pune | Hyderabad | Vizag
About the Role
We are seeking an experienced Mobile Automation Testing professional with strong hands-on expertise in building and executing automation frameworks for mobile applications. This role is ideal for candidates who enjoy working in fast-paced environments and collaborating closely with cross-functional teams to ensure high-quality mobile solutions.
Key Responsibilities
- Design, develop, and execute mobile automation test scripts using Appium
- Build and maintain automation frameworks using Java and Selenium
- Perform automated testing for Android and/or iOS applications
- Integrate automation scripts with CI/CD pipelines in Agile or DevOps environments
- Analyze test results, identify defects, and work with development teams for resolution
- Participate in sprint planning, daily stand-ups, and other Agile ceremonies
- Ensure test coverage across functional, regression, and integration testing
Must-Have Skills
- 5+ years of hands-on experience in Mobile Automation Testing
- Strong programming experience in Java
- Solid expertise in Selenium and Appium
- Experience testing mobile applications (Android / iOS)
- Good communication and coordination skills
- Practical exposure to Agile and DevOps methodologies
Additional Skills (Good to Have)
- Experience with CI/CD tools like Jenkins, Git, Maven/Gradle
- Knowledge of mobile device farms or cloud testing tools
- Exposure to API testing tools (Postman, REST Assured)
- Understanding of mobile test strategies and best practices
Who Should Apply
- Automation testers looking to specialize in mobile platforms
- Candidates comfortable working in enterprise-scale testing environments
- Professionals who can independently handle automation deliverables
Role: DevOps Engineer
Experience: 2–3+ years
Location: Pune
Work Mode: Hybrid (3 days Work from office)
Mandatory Skills:
- Strong hands-on experience with CI/CD tools like Jenkins, GitHub Actions, or AWS CodePipeline
- Proficiency in scripting languages (Bash, Python, PowerShell)
- Hands-on experience with containerization (Docker) and container management
- Proven experience managing infrastructure (On-premise or AWS/VMware)
- Experience with version control systems (Git/Bitbucket/GitHub)
- Familiarity with monitoring and logging tools for system performance tracking
- Knowledge of security best practices and compliance standards
- Bachelor's degree in Computer Science, Engineering, or related field
- Willingness to support production issues during odd hours when required
Preferred Qualifications:
- Certifications in AWS, Docker, or VMware
- Experience with configuration management tools like Ansible
- Exposure to Agile and DevOps methodologies
- Hands-on experience with Virtual Machines and Container orchestration
Job Description:
· Mechanical Engineer with 7+ years of relevant experience
· Strong Knowledge of injection Molding simulation (Cool+Fill+Pack+Warp) using Autodesk Moldflow.
· Strong Knowledge on selection of gate location, 2k and insert Molding Analysis.
· Working knowledge on Plastic Injection Mold design.
· Strong knowledge in plastic material selection and able to suggest alternate material.
· Experience in Good knowledge of injection Molding process.
· Experience in solving injection Molding issues (weld lines, sink marks, warpage, etc).
· Able to find optimized process parameters for Injection Molding process Engineer.
· Strong analytical skills and results interpretation skills.
· Working understanding of CAD software like SolidWorks, CATIA etc.
· Working experience in Product design
· Good exposure to manufacturing process
· Good Knowledge of DFMEA, DFM and DFA
- Build responsive web-pages
- Experience in Javascript, jQuery, CSS, HTML5
- Expert in JavaScript who can build up a JavaScript framework from scratch.
- Possess good knowledge in front-end performance tuning.
- Understands how to use the page speed tool and tackle on issue based on its suggestions.
- Consume REST API's provided by the backend team
- Experience in some modern JavaScript framework like easyUI or reactJS would be a plus
As an experienced Data Scientist you’ll join a team of data scientists, analysts, and software engineers
working to push the boundaries of data science in health care. We like to experiment, iterate, and
innovate with technology, from developing new algorithms specific to health care’s challenges, to
bringing the latest machine learning practices and applications developed in other industries into the
health care world. We know that algorithms are only valuable when powered by the right data, so we
focus on fully understanding the problems we need to solve, and truly understanding the data behind
them before launching into solutions – ensuring that the solutions we do land on are impactful and
powerful
Essential functions
• Research, conceptualize, and implement analytical approaches and predictive modeling to
evaluate scenarios, predict utilization and clinical outcomes, and recommend actions to impact
results.
• Manage and execute on the entire model development process, including scope definition,
hypothesis formation, data cleaning and preparation, feature selection, model implementation
in production, validation and iteration, using multiple data sources.
• Provide guidance on necessary data and software infrastructure capabilities to deliver a scalable
solution across partners and support the implementation of the team’s algorithms and models
• Contribute to the development and publication in major journals, conferences showcasing
leadership in healthcare data science.
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT teams and
Business stakeholders spread out across various locations in US and India to achieve business
goals
• Provide guidance to other Data Scientist and Machine Learning Engineers



