Test Automation Engineer

andidate with strong experience in Windows (2012/16/19) server administration and PowerShell.

Strong knowledge of Physical Hardware & Console. (HP & Dell)

Performing Server Firmware Upgradation and managing hardware replacement tasks remotely.

Creating and managing SQL datastores in Microsoft Windows Cluster environment.

Strong knowledge on Vmware administration.

Strong knowledge of Microsoft SCCM or IBM Bigfix or any patch / application deployment tool.

Knowledge of ITIL process. (Incident, change and problem management)

Knowledge of Networking, Storage NFS, SAN.

Process Skills:

Primarily responsible for Windows Server Management, Patching or application deployment and Vmware advance administration.

Support customer troubleshooting and problem solving and verification.

Capable of analyzing and troubleshoot applications issues and implement break fixes as per defined SLA’s and SOPs.

Experience & functional knowledge on baking applications.

Available on 24 x 7 basis in the event of emergencies and should be contactable after office hours.

Resolve technical issues by implementing break fix.

Participates as a team member and fosters teamwork by inter-group coordination within the modules of the project.

Behavioral Skills:

Must have superior problem-solving skills with extremely high levels of initiative and assertiveness.

Effective interpersonal, team building and communication skills.

Effectively collaborate with stakeholders, Customers and Partners in a Service Delivery environment

Able to thrive in rapid environment and adopt new technology fastly.

Identify the Gaps and provide documentation / suggestion faced during Execution.

Certification:

Somebody who has at least 5+ years of work experience in WINTEL administration.

Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college

Certification: Windows , VCP Certification, ITIL, any other Technical certification

Job Title: AI Architect

Location: [Pune, Onsite]

Experience: 6+ Years

Employment Type: Full-Time

Working requirements:

Engagement Commitment: 3 months to start with to ensure that the engagement is progressing well.

Deliverable: Minimum Viable Product is already there, enhancement is required

Working Hours Preferable: California Time (which is ~12 hours behind IST), requesting this because then it will be easier to huddle and both US and India team can work simultaneously

About the Role:

We are seeking an experienced and visionary AI Architect to lead the design, development, and deployment of cutting-edge AI/ML solutions. The ideal candidate will have a strong foundation in artificial intelligence, machine learning, data engineering, and cloud technologies, with the ability to architect scalable and high-performing systems.

Key Responsibilities:

• Design and implement end-to-end AI/ML architectures for large-scale enterprise applications.
• Lead AI strategy, frameworks, and roadmaps in collaboration with product and engineering teams.
• Guide the development of machine learning models (e.g., NLP, Computer Vision, Predictive Analytics).
• Define best practices for model training, validation, deployment, monitoring, and versioning.
• Collaborate with data engineers to build and maintain robust data pipelines.
• Choose the right AI tools, libraries, and platforms based on project needs (e.g., TensorFlow, PyTorch, Hugging Face).
• Work with cloud platforms (AWS, Azure, GCP) to deploy and manage AI models and services.
• Ensure AI/ML solutions comply with data privacy, governance, and ethical standards.
• Mentor junior AI engineers and data scientists.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 6+ years of experience in AI/ML, with at least 2+ years in an architecture or lead role.
• Strong experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
• Deep understanding of LLMs, transformers, GPT models, and fine-tuning techniques.
• Proficiency in Python and data processing libraries (Pandas, NumPy, etc.).
• Experience with cloud-based AI services (AWS SageMaker, Azure ML, Vertex AI, etc.).
• Knowledge of MLOps practices, CI/CD for models, and model monitoring.
• Familiarity with data lakehouse architecture, real-time inference, and APIs.
• Strong communication and leadership skills.

Preferred Qualifications:

• Experience with generative AI applications and prompt engineering.
• Knowledge of reinforcement learning or federated learning.
• Publications or contributions to open-source AI projects.
• AI certifications from cloud providers (AWS, Azure, GCP).

Why Join Us?

• Work on transformative AI projects across industries.
• Collaborate with a passionate and innovative team.
• Flexible work environment with remote/hybrid options.
• Continuous learning, upskilling, and growth opportunities.

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

We're Hiring

Position: Sales Executive

Location: Indore

Eligibility: Any Graduate

Experience: 0-1 year

Salary: ₹15,000 - ₹18,000/month + Incentives

Company: KSVSoftTech Pvt. Ltd.

Role and Responsibilities

* Excellent communication skills with the ability to meet clients and maintain relationships.

* Strategic thinking and problem-solving abilities.

* Ability to understand client needs and provide tailored solutions.

* Professional presence and approach.

* Basic knowledge of IT and MS Office.

🌐 Visit Our Website: https://ksvsofttech.com

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

About Us

Working at Auxesis Infotech Pvt Ltd is an opportunity to collaborate with some of the brightest minds in our region. With an emphasis on interactive and creative engagement, we have continued to better help the companies we serve to make a difference in their communities with an improved digital and interactive experience.

Requirements:

• Good level understanding of jQuery & integrated modules.
• Should have a working knowledge of databases preferably MySql.
• Working understanding of HTML5, CSS
• Self-reliant in Coding and Solving complex algorithms.
• Should have a positive attitude and be a good team player
• Should possess excellent communication and interpersonal skills
• Must be able to develop and write code quickly and adapt to different Frameworks
• knowledge in documentation is an added advantage Responsibilities and Duties
• Would be responsible to work on the projects as per requirement
• Expected to have learnability and open to learning new skills Required Experience, Skills
• Experience in Core PHP, MySql, and PHP frameworks (preferably Drupal & WordPress)

Benefits:

• Flexible working hours
• 5 days working
• Work from home
• Onsite opportunities

• Key Technical Skills: Deep experience on Performance Engineering with understanding of Java/J2EE technologies.
• Experienced in defining and realizing end-to-end Technical Architecture for large scale real- time enterprise Ability to identify and define non-functional requirements and design systems to meet the same.
• Ability to review existing Architectures and identify Risks, Trade-offs, and share recommendations for addressing the identified
• Demonstrate strong understanding of cloud architecture considerations when scaling and tuning application deployments. Must have hands on experience working on any of the Cloud deployments on AWS or
• Good experience on leveraging APM tools to provide deep dive analysis on performance problems. Deep understanding of the dashboards which can be built for CIO level interactions. Must have relevant experience on APM tools like Dynatrace or AppDynamics.
• Experience in performance optimization of J2EE systems on any of different types of application servers - WebLogic, WebSphere, JBoss etc. Deep expertise in any one of the application servers is a
• Experience in creating and reviewing technical documents like Architecture blueprint, Design specifications, Deployment
• Experience on working on Performance Testing Projects. Fair understanding of Performance Testing tools - Apache JMeter /Gatling/ HP Load Runner for Load testing. Must be in a position to review Performance Testing programs and steer directions towards right Workload Model, appropriate Test and Monitoring Strategy, build performance models and derive at right Capacity Planning.

• Experience in Big Data Analytics like - Apache Kafka, Apache Storm, Apache Hadoop, Apache
• Good skills in RDBMS like: Oracle, MS-SQL, MySQL, Cassandra, and Mongo DB
• Exposure to Agile methodologies & Continuous Integration Tools
• Entrepreneur / Intrapreneur (someone who has built technology teams ground-up, built new solutions from scratch)
• Very sound understanding of technology and have a consultative
• Sound understanding of complex enterprise IT environment and issues faced by CIOs in the digital
• Excellent Pre-sales experience and have played a key role in winning business along with the sales
• Excellent communication, interpersonal, liaison and problem-solving skills with the ability to work in a multi-cultural environment
• Good negotiation skills
• Go getter and results oriented
• High energy level with ability to work well under pressure
• Good relationship building skills. Someone who enjoys CIOs trust and has an ability to develop relationships at all levels (technology teams) of the customer

JD - System Analyst

1. Analysis and design of technical functionality and features.
2. Creation of requirements document and definition, Epics, User stories and addition of same to Fresh Release.
3. Facilitate daily scrums, stand-ups and meetings to monitor project progress and resolve any issues the team may be experiencing.
4. Collaborate with product owner and stakeholders and clear project obstacles and impediments that could slow down the team’s progress.
5. Meet and coordinate with internal stakeholders to establish project scope, system goals, and requirements.
6. Help the team boost their productivity and performance and helps development team create high-quality products.
7. Arrange and optimize product backlog.
8. Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, and flowcharts for developers and testers to follow.
9. Translate highly technical specifications into clear non-technical requirements.
10. Manage the set-up and configuration of systems. Provide documentation of all processes and training as needed.
11. Define and coordinate the execution of testing procedures and develop test cases to serve the overall quality assurance process.
12. Draw up, supervise and document testing schedules for complete systems.
13. Perform design, implementation, and upgrades of information systems to meet the business and user needs.
14. Implement best practices for scalability, support ability, ease of maintenance and system performance.
15. Identify options for potential solutions and assess them for both technical and business suitability.
16. Oversee implementation of a new system including data migration.

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics