Salesforce developer

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Sitecore Developer

Work From Office

Locations: Bangalore, Hyderabad, Noida, Gurgaon

Exp:  4 exp (relevant)

Notice Period: 15 days (Preferred Immediate joiners)

Knowledge of CPAAS,A2P, MNO, Monetization, Network Protection, Firewall, Anti-fraud mitigation

Creating custom decks and delivering product presentations to customers and leads'

Lead qualification with understanding customer requirements and consulting the right product fit

Documentation - technical & Commercial proposals, one pagers, concept papers, questionnaire

Disruptive business modelling with merger of 2-3 products and services

Liaise with vendor for coordinating technical demos with customers

Educating sales with new GTS products with pitch decks, opportunity identification & sizing

Lead follow-up with sales and tracking progress

Bid management

Product strategy planning with sales for closure

Liaise with Legal and finance teams for MoU, Contracts, etc..

Research

Exploration of new initiatives in ICT space

New product development based on the market insights shared by sales teams

Managing POC to meet success criteria

Linux Administration and VM Management with 6-8 Yrs. Exp: Client is based in US - No of positions -2

• CPU/Memory/Storage Monitoring
• Patch Management
• Disk Space Management
• System Log file management
• User account Management
• Server Start/Shut down
• Incident/SR Handling
• Pro-active monitoring of the customers infrastructure.
• Follow up on tickets with the internal IT Team for resolution/SLA
• Create and modify ansible/scripts to perform SA tasks
• Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
• Collaborate with other teams and team members to develop automation strategies
• and deployment processes
• Lead and manage all Service Requests (SRs) with Oracle Support and Cloud Operations to coordinate and complete SA
• Lead and support Oracle Cloud Infrastructure, Oracle PaaS platform administration, and Security integrations with Oracle Cloud Applications
• Responsible for defining audit procedures to validate user permissions and creating custom user roles based on segregation of duties.
• Monitor and investigate any system performance issues and works with Oracle, project teams and end users to identify and resolve root causes.
• OCI infrastructure administration (Install, configure, migrations, tuning, patching, administration & monitoring).
• Identifies emerging technologies to solve complex business problems.
• Leads and directs all administrative support for new implementations, upgrades, and migrations.
• Effective collaboration with infrastructure teams, application development teams, testing, and release teams.
• Design/develop current and future state user security maps, identifying technical gaps, and building remediation plans with the new system.
• Implementing Disaster Recovery and High Availability.
• Applying automated configuration management & infrastructure provisioning
• Experienced in provisioning and supporting OCI components related to Network (VCN, IPSec, FastConnect, Firewall ….)
• Excellent written and verbal communication skills.
• Work cross functionally with the team on system administration, access management and security management tasks in OCI
• Responsible for coordinating the review of new release details, as well as communicating platform maintenance events to project teams and end users affected by both planned and unplanned events.
• Establish and maintain the security policies for the firewall as new customer locations are added.
• Establish and maintain DR plans for the network topology
• Switch from primary IPSec tunnel to backup tunnel
• Switch back to Primary when appropriate
• Backup policy development and administration for OCI tenant
• VM Backup scripting (includes testing and enhancements as needed).
• Should be willing to work in shifts.

We are looking for a Laravel developer with the technical skills to implement server-side code written in the Laravel framework. Your main responsibility lies in the development and implementation of applications written in PHP laravel .

Responsibility :

• Design and implement web applications that use the Laravel framework.
• Implement server side logic to process front inputs.
• Identify and fix bugs that are found within code.
• Interact with SQL databases.
• Ensure all inputs going to a database have been parameterized.
• Ensure the appropriate security standards have been implemented.
• Troubleshooting issues in the implementation and debug builds.
• Maintaining web-based applications.
• Presenting work in meetings with clients and management.

Desired Skill Set:

• The ability to problem-solve and critically think.
• High level of knowledge of PHP and the Laravel framework
• Web Development Skill.
• Understanding of OOP & MVC pattern.
• Understanding of SQL databases.
• The desire and ability to learn.
• Good interpersonal skills.

Do Your Thng 

https://doyourthng.com/ 

JOB DESCRIPTION 

DYT - Do Your Thing, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space. 

Job Description for UI/UX Designer position (Full-time)

Responsibilities:

• Creating user-centered mobile and web designs by understanding product requirements and user feedback.
• Translating requirements into style guides, design systems, design patterns and attractive user interfaces.
• Executing all visual design stages from concept to final hand-off to engineering.
• Build wireframes, designs and prototype elegant interactive solutions.
• Work on the UI/UX Designs across multiple platforms, mobile and web.

Key requirements:

• 0-2 year of experience with UI/UX design.
• Have finished or are pursuing a Bachelor's degree in user experience, design or related field.
• Proven UI/UX skills and experience.
• Demonstrable UI/UX design skills with a strong portfolio.
• Good command on creative designs, ideas and suggestions.
• Proficiency in Figma.
• Hands-On Prototyping experience (Figma).
• Good communication and presentation skills.
• Knowledge of photoshop and illustrator tools will be a plus.
• Should be able to join on an immediate basis.

Hiring for GCP compliant cloud data lake solutions for clinical trials for US based pharmaceutical company.

Summary

This is a key position within Data Sciences and Systems organization responsible for data systems and related technologies. The role will part of Amazon Web service (AWS) Data Lake strategy, roadmap, and AWS architecture for data systems and technologies.

Essential/Primary Duties, Functions and Responsibilities

The essential duties and responsibilities of this position are as follows:

• Collaborate with data science and systems leaders and other stakeholders to roadmap, structure, prioritize and execute on AWS data engineering requirements.
• Works closely with the IT organization and other functions to make sure that business needs and requirements, IT processes, and regulatory compliance requirements are met.
• Build the AWS infrastructure required for optimal extraction, transformation, and loading of data from a vendor site clinical data sources using AWS big data technologies
• Create and maintain optimal AWS data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
• Work with data and analytics experts to strive for greater functionality in our data systems

Requirements

• A minimum of a bachelors degree in a Computer Science, Mathematics, Statistics or related discipline is required. A Master's degree is preferred. A minimum of 6-8 years technical management experience is required. Equivalent experience may be accepted.
• Experience with data lake and/or data warehouse implementation is required
• Minimum Bachelors Degree in Computer Science, Computer Engineering, Mathematical Engineering, Information Systems or related fields
• Project experience with visualization tools (AWS, Tableau, R Studio, PowerBI, R shiny, D3js) and databases. Experience with python, R or SAS coding is a big plus.
• Experience with AWS based S3, Lambda, Step functions.
• Strong team player and you can work effectively in a collaborative, fast-paced, multi-tasking environment
• Solid analytical and technical skill and the ability to exchange innovative ideas
• Quick learner and passionate about continuously developing your skills and knowledge
• Ability to solve problems by using AWS in data acquisitions
• Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business-relevant solution