Senior Sales Manager

Job Description:

We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have a strong background in Natural Language Processing (NLP), Large Language Models (LLMs), and Python programming.

You will work closely with data scientists, product managers, and data engineers to design, develop, and deploy high-performance AI/ML models and integrate generative AI solutions into existing workflows.

Your responsibilities will include:

• Collaborating with cross-functional teams to design and deliver high-performance AI models, including NLP, computer vision, semantics engines, linguistic analysis, risk management, and time-series prediction models. Integrating generative AI solutions into existing workflow systems.
• Developing and maintaining the ML Operations CI/CD pipeline for seamless deployment and monitoring. Training, tuning, and optimizing AI models and algorithms for enhanced performance.
• Implementing complex real-time data and AI/ML applications to capture knowledge and automate decision-making processes.
• Creating ML/AI models for business teams and establishing metrics to track their accuracy and performance. Overseeing the full lifecycle of algorithm development, from ideation to deployment and monitoring. Evaluating and ranking ML algorithms based on their potential success in solving specific problems.
• Serving as an internal resource for AI/ML needs, providing guidance and insights to stakeholders during strategic discussions.

Required Experience and Skills:

Machine Learning:

• Proficient in generative AI techniques, prompt engineering, and Retrieval-Augmented Generation (RAG) (3+ years).
• Experience with Large Language Models (LLMs) such as OpenAI, Gemini, LLAMA, and other state-of-the-art models (3+ years).
• Expertise in using ML/AI libraries such as Pandas, NumPy, PyTorch, TensorFlow, Keras, BERT, LayoutLM, and traditional ML algorithms (5+ years).
• Experience with distributed ML/AI training libraries/models: Koalas, Horovod, DDP.

Python Programming and Software Engineering:

• Expertise in Pythonic clean coding practices, including the use of decorators, generators, and descriptors (5+ years).
• Strong understanding of software design principles such as DRY, OAOO, YAGNI, KIS, EAFP/LBYL, and defensive programming (2+ years).
• Proficient in software design concepts focusing on cohesion and coupling (2+ years). Knowledge of SOLID principles (2+ years).

Education and Experience:

• Minimum Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering, or a closely related field.
• At least 5 years of experience as a software engineer and 5 years of ML-related programming.

Role: Motion Graphic Artist (Fresher)

Experience: Freshers

Openings: 3 openings

Job Type: Full time, onsite

Qualifications:

- Bachelor’s degree in Graphic Design, Animation, Multimedia, or related field.

- Proficiency in Adobe Creative Suite (After Effects, Premiere Pro, Photoshop, Illustrator).

- Basic understanding of 2D/3D animation.

- Strong creative skills and attention to detail.

- Good communication and teamwork skills.

- Ability to manage multiple projects under tight deadlines.

- Portfolio showcasing motion graphics work is a plus.

Job Title: Personal Assistant to CXO

We are seeking a highly organized, proactive, and detail-oriented Personal Assistant to support our CXO in day-to-day operations. The ideal candidate will manage schedules, communications, and follow-ups efficiently, ensuring seamless coordination across internal teams and external stakeholders. This role demands professionalism, discretion, and the ability to thrive in a fast-paced environment while managing multiple priorities.

Key Responsibilities

• Manage the CXO’s calendar, appointments, meetings, travel arrangements, and daily schedule with efficiency and accuracy.
• Track, document, and follow up on tasks assigned to the CXO to ensure timely execution and closure.
• Prepare meeting agendas, record detailed minutes, and coordinate action items with relevant internal teams.
• Draft, proofread, and organize professional communications, including emails, presentations, and reports.
• Act as a liaison between the CXO and internal departments as well as external stakeholders.
• Maintain confidentiality of sensitive information and ensure systematic documentation and record-keeping.
• Anticipate the CXO’s requirements, provide timely reminders, and prepare necessary materials in advance of meetings.

Requirements

• Bachelor’s degree in Business Administration, Management, or a related field.
• Minimum of 1 year of experience as a Personal Assistant or Executive Assistant, preferably in healthcare, technology, or start-up environments.
• Strong organizational, communication, and multitasking skills.
• High level of professionalism, discretion, and a proactive problem-solving mindset.
• Ability to adapt quickly to changing priorities in a dynamic, fast-paced work environment.

Benefits

• Flexible work schedule
• Health insurance
• Leave encashment
• Provident Fund (PF)

Job Description:

• Drive end-to-end automation from GitHub/GitLab/BitBucket to Deployment,

Observability and Enabling the SRE activities

• Guide operations support (setup, configuration, management, troubleshooting) of

digital platforms and applications

• Solid understanding of DevSecOps Workflows that support CI, CS, CD, CM, CT.

• Deploy, configure, and manage SaaS and PaaS cloud platform and applications

• Provide Level 1 (OS, patching) and Level 2 (app server instance troubleshooting)

• DevOps programming: writing scripts, building operations/server instance/app/DB

monitoring tools Set up / manage continuous build and dev project management

environment: JenkinX/GitHub Actions/Tekton, Git, Jira Designing secure networks,

systems, and application architectures

• Collaborating with cross-functional teams to ensure secure product development

• Disaster recovery, network forensics analysis, and pen-testing solutions

• Planning, researching, and developing security policies, standards, and procedures

• Awareness training of the workforce on information security standards, policies, and

best practices

• Installation and use of firewalls, data encryption and other security products and

procedures

• Maturity in understanding compliance, policy and cloud governance and ability to

identify and execute automation.

• At Wesco, we discuss more about solutions than problems. We celebrate innovation

and creativity.

• Job Summary:

We are looking for a PHP Developer with experience in Laravel and CodeIgniter. You will develop, maintain, and enhance web applications.

• Key Responsibilities:

Build and maintain web applications using Laravel and CodeIgniter.

Work with teams to develop new features.

Optimize performance and security.

Debug and troubleshoot issues.

Integrate APIs and services.

• Requirements:

Experience with Laravel and CodeIgniter.

Strong PHP, MySQL, JavaScript, and HTML/CSS skills.

Knowledge of Git and RESTful APIs.

Problem-solving skills and teamwork.

• Preferred Skills:

Experience with Vue.js or React.

Basic knowledge of AWS or Docker.

DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.

At Least 4 Years of experience in DevOps with knowledge of:

• Docker
• Docker Cloud / Containerization
• DevOps Best Practices
• Distributed Applications
• Deployment Architecture
• Atleast AWS Experience
• Exposure to Kubernetes / Serverless Architecture

Skills:

• 3-7+ years of experience in DevOps Engineering
• Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
• Experience with Docker Swarm, Docker Compose, Docker Engine
• Experience with Provisioning and managing VM's - Virtual Machines
• Experience / strong knowledge with Network Topologies, Network Research,
• Jenkins, BitBucket, Jira
• Ansible or other Automation Configuration Management System tools
• Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
• Linux Systems Administration -: Redhat

Additional Preference:

Security, SSL configuration, Best Practices

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

GeoSpoc is looking for passionate Senior Frontend Engineers to join the software engineering team and help build elegant, intuitive interfaces to analyse geospatial data.

• A passionate developer with solid understanding of software basics.
• Always willing to learn and explore upcoming technologies.
• Pro-active, reliable and result oriented.
• Someone who can continuously perform in a fast-paced environment.

• Extensive experience building and maintaining responsive web interfaces using modern JavaScript, HTML & CSS tools and client-side frameworks like React or Vue
• JavaScript -
• Extensive knowledge of JavaScript. ES6, polyfills, etc.
• Writing good code with proper use of Linters.
• Good to have -TypeScript and/or JSDoc
• Minimum 1 years of experience in state management libs such as Vuex or Redux.
• Proficient in agile software development practices: version control, Kanban, ticketing, peer-reviews
• Test driven development, continuous integration and continuous deployment.
• Experience with docker and container orchestration
• Good understanding of micro-services architecture
• Experience building solutions for the cloud; using AWS, Azure, GCP etc.
• Has had hands-on experiences in developing performance driven Progressive Web Apps

• js / React - 1.5 to 3 years
• State Management - 1 to 3 years
• Vanilla JS - 3 to 5 years
• Karma / Jest - 1 to 3 years
• Map libs - 1.5 to 3 years
• Docker - 1.5 to 3 years
• HTML5 / CSS3 - 2 to 5 years