Junior UX Designer

JOB DETAILS:

- Job Title: Director of Sales

- Industry: SAAS

- Experience: 8-10 years

- Working Days: 5 days/week

- Job Location: Bengaluru

- CTC Range: Best in Industry

Required Skills: SaaS (Software as a Service) Sales, Excellent Communication & Stakeholder Management, B2B SaaS products Experience, Enterprise Sales experience, Enterprise Revenue Leadership, GTM Strategy & Sales Enablement

Criteria:

* The candidate must have at least 5+ years of experience in B2B SaaS or enterprise technology sales from overall experience.

* US enterprise sales experience is preferred, with strong exposure to US enterprise sales cycles.

* The candidate must have deep experience in enterprise sales, handling large, complex, multi-stakeholder deals.

* The candidate must have driven $5M+ in annual enterprise revenue (preferably $10M+).

* The candidate must have 2+ years of people leadership experience.

* The candidate must have managed a sales team of 10+ members, including AEs and SDRs.

* The candidate must have hands-on experience building, executing, and scaling sales strategies.

* The candidate must have experience managing both inbound and outbound sales motions.

* Background in cybersecurity, deep tech, or complex technical products is preferred.

* Experience with VAR, multi-product, or consultative enterprise sales is a plus.

* The candidate must be comfortable leading revenue across global regions, with the US as the primary focus.

* The candidate must be based in Bangalore or willing to relocate.

Description  

What You Will Own

Revenue G Pipeline

• Own global enterprise revenue, with primary focus on the US
• Build and maintain a predictable pipeline across inbound and outbound motions
• Drive forecasting accuracy, deal reviews, and revenue governance
• Improve win rates, strengthen qualification frameworks, and optimize sales velocity

Team Leadership G Coaching

• Lead, mentor, and develop a high-performing sales team (pods, SDRs, AEs)
• Build a culture of accountability, high performance, and continuous learning
• Coach   the team  on enterprise selling, negotiation, and multi-stakeholder engagement.
• Set and enforce clear KPIs, performance standards, and operating rhythms

GTM, Sales Enablement G Cross-Functional Strategy

• Partner with Marketing to align top-of-funnel quality, campaigns, and messaging
• Work with Product & Engineering to channel customer insights into roadmap decisions
• Build and refine sales playbooks, messaging guides, qualification models (MEDDIC/BANT), competitive frameworks, and objection handling
• Strengthen sales enablement - onboarding, continuous training, competitive intelligence, content readiness, and deal support
• Collaborate with RevOps on CRM hygiene, reporting accuracy, forecasting discipline, and tooling
• Ensure seamless alignment across Sales, CS, Product, and Marketing

Operational Excellence

• Implement best-in-class sales processes and governance
• Improve sales efficiency across the funnel through data, insights, and process optimization
• Introduce mechanisms to increase accountability, speed of execution, and deal quality
• Establish a predictable, repeatable, and scalable sales engine

What We're Looking For

Experience G Leadership

• 8 - 10 years in B2B SaaS or enterprise tech sales
• Minimum 2 - 3 years leading and scaling sales teams
• Demonstrated ability to drive $5M annual enterprise revenue (preferably $10M)
• Experience managing both inbound and outbound sales motions
• Preferred exposure to US enterprise sales cycles

Industry G Deal Expertise

• Deep experience in enterprise sales - mandatory
• Background in cybersecurity, deep tech, or complex technical products is preferred
• Experience with VAR, multi-product, or consultative enterprise sales is a plus

Geography G Market Exposure

• Must be based in Bangalore (or willing to relocate)
• Comfortable leading revenue across global regions, with US as primary focus

Who You Are

• A strategic operator with strong bias for execution
• Exceptional coach and people leader
• Data-driven, structured, and strong on process
• Skilled communicator with executive presence
• Thrives in high-growth, high-accountability environments
• Comfortable influencing cross-functionally and navigating enterprise complexity

About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI

The Opportunity

As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents..

What You’ll Do

1. Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
2. Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.
3. Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
4. Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.
5. Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
6. Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
7. Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
8. Deep understanding of various training techniques including distributed training on GPUs and TPUs.
9. Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
10. Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

You’re a Fit If You Have

1. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
2. 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.
3. Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
4. Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
5. Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization 
6. Proven experience in deploying and managing ML models in production environments.
7. Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
8. Strong communication skills for articulating complex concepts to diverse audiences.
9. Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
10. Working knowledge of basic software engineering principles and best practices
11. Demonstrated working knowledge and experience on classic ML techniques and frameworks.
12. Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Bonus Points:

1. Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done
2. You are naturally curious. Always experimenting than hypothesising - You like to push boundaries, you figure things out and experiment your way through any problem
3. You are passionate, unafraid & loyal to the team & mission
4. You love to learn & win together
5. You communicate well through voice, writing, chat or video, and work well with a remote/global team
6. Large/Complex organization experience in deploying NLP/ML in production 
7. Experience in efficiently scaling ML model training and inferencing 
8. Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What we offer:

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

Job Title: PySpark/Scala Developer

Functional Skills: Experience in Credit Risk/Regulatory risk domain

Technical Skills: Spark ,PySpark, Python, Hive, Scala, MapReduce, Unix shell scripting

Good to Have Skills: Exposure to Machine Learning Techniques

Job Description:

5+ Years of experience with Developing/Fine tuning and implementing programs/applications

Using Python/PySpark/Scala on Big Data/Hadoop Platform.

Roles and Responsibilities:

a)     Work with a Leading Bank’s Risk Management team on specific projects/requirements pertaining to risk Models in

 consumer and wholesale banking

b)     Enhance Machine Learning Models using PySpark or Scala

c)     Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all

the way to Production Environment

d)     Participate Feature Engineering, Training Models, Scoring and retraining

e)     Architect Data Pipeline and Automate Data Ingestion and Model Jobs

Skills and competencies:

Required:

·       Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·       Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·       Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·       Flexibility in approach and thought process

·       Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

Position : Automation Testing with C#

Exp : 5-9 yrs

Location : Hyderabad

Client : Mphasis

Looking for Immediate candidates

Virtual interview on 19th July

Job description

We are seeking a skilled Automation Test Engineer with hands-on experience in C# and Selenium to join our QA team. The ideal candidate will be responsible for designing, developing, and executing automation scripts using Selenium WebDriver with C#. You will work closely with developers, business analysts, and other QA engineers to ensure product quality and enhance test automation coverage.

Key Responsibilities:

• Design and implement robust and reusable test automation frameworks using Selenium with C#
• Develop and maintain automation test scripts for web applications
• Execute automated test cases and analyze test results
• Collaborate with development and QA teams to understand requirements and improve test processes
• Integrate automated tests with CI/CD pipelines (e.g., Azure DevOps, Jenkins)
• Identify, record, and thoroughly document bugs
• Contribute to test planning and documentation efforts

Must-Have Skills:

• Strong programming skills in C#
• Expertise in Selenium automation
• Good experience with automation frameworks SpecFlow
• Solid understanding of SDLC and STLC processes

Hi All,

We are hiring for an ASP.NET DEVELOPER

Experience: Minimum 01years

Work from Office ( Location-- Kolkata)

Sunday Off

Working days and hours Monday - Saturday (11:00 AM - 07:00 PM)

Desired Skills:-

1. Analytical mind with a problem-solving aptitude

2. Ability to work independently

3. Strong Knowledge of selected frameworks and libraries (ASP.net, C#, HTML, CSS, Bootstrap, SQL Server)

Desired Technology

1. ADO.NET

2.SQL QUERY, SP, TIGGER

3.ASP.NET

4. CRYSTAL REPORT

5. RDLC REPORT

6. MVC 5

7. JQUERY

8. BOOTSTRAP

9. WEB API 2.0

C#.Net Core & ASP.NET Core & WebAPI (RESTAPI) Bengaluru, India

Job description

Responsibilities: Design, development, and maintenance of Industrial Automation Software applications ➢ Analyze and understand the functional/non-functional requirements. ➢ Understand the high level design and ability to translate to low level design and implementation ➢ Implementation of complex modules with high quality and clean coding. Desired Skills and Experience 4-8 years of hands on experience in Software /Technology Development Must Have: ➢ Proficiency in C# .Net, ASP.NET, Web API, JSON ➢ Proficient in Object Oriented Analysis and Design, SOLID Principles, Design Patterns etc. ➢ A good understanding of SOA, Client-Server architecture. ➢ Must have good knowledge of multi-threading concepts ➢ Development experience in Visual studio 2019 ➢ Systems thinking, technical acumen, analytical skills and communication skills. ➢ Testing skills (Unit testing, Integration testing). ➢ Adoption of AGILE development methodologies such as SCRUM in recent projects ➢ Quality mindset and attention to detail in all aspects of software engineering and development ➢ Exposure to DevOps and Git in recent projects.

We are seeking a talented React Developer with hands-on experience in MUI and Tailwind CSS, as well as expertise in state management tools such as Saga and Redux. The ideal candidate should have a passion for front-end development, an eye for design, and be comfortable working in a fastpaced environment. You will be responsible for creating user interface components using React.js, React Native integrating with RESTful APIs, and collaborating with cross-functional teams to build web applications.

Responsibilities:

 Build new user-facing features using React.js, React Native and other front-end technologies

.  Develop reusable components and libraries for future use.

 Collaborate with the development team to design and implement RESTful APIs.

 Translate designs and wireframes into high-quality code.

 Create responsive HTML designs based on wireframes built on PSD, Figma, and ETC. to work across mobile and web browsers.

 Develop and implement front-end architectures and design patterns.  Stay up-to-date with emerging trends and technologies in front-end development.

 Write unit tests and integration tests to ensure code quality.

 Ensure code follows best practices and coding standards.

 Work collaboratively with UX designers and product owners to ensure a seamless user experience

Responsibilities

• Installing and configuring Informatica components, including high availability; managing server activations and de-activations for all environments; ensuring that all systems and procedures adhere to organizational best practices
• Day to day administration of the Informatica Suite of services (PowerCenter, IDS, Metadata, Glossary and Analyst).
• Informatica capacity planning and on-going monitoring (e.g. CPU, Memory, etc.) to proactively increase capacity as needed.
• Manage backup and security of Data Integration Infrastructure.
• Design, develop, and maintain all data warehouse, data marts, and ETL functions for the organization as a part of an infrastructure team.
• Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
• Develop and interpret organizational goals, policies, and procedures.
• Evaluate the organization's technology use and needs and recommend improvements, such as software upgrades.
• Prepare and review operational reports or project progress reports.
• Assist in the daily operations of the Architecture Team , analyzing workflow, establishing priorities, developing standards, and setting deadlines.
• Work with vendors to manage support SLA’s and influence vendor product roadmap
• Provide leadership and guidance in technical meetings, define standards and assist/provide status updates
• Work with cross functional operations teams such as systems, storage and network to design technology stacks.

Preferred Qualifications

• Minimum 6+ years’ experience as Informatica Engineer and Developer role
• Minimum of 5+ years’ experience in an ETL environment as a developer.
• Minimum of 5+ years of experience in SQL coding and understanding of databases
• Proficiency in Python
• Proficiency in command line troubleshooting
• Proficiency in writing code in Perl/Shell scripting languages
• Understanding of Java and concepts of Object-oriented programming
• Good understanding of systems, networking, and storage
• Strong knowledge of scalability and high availability

Strong experience on core Java (Version >=1.8 )

Strong experience on Spring ecosystem (Core, MVC, data, JPA, transaction management, security, AOP, Batch & Boot). Comfortable performing integration tests in Spring context.

Strong experience on JDBC and DB concepts.

Experience of TDD/BDD approach and prior experience working with CI/CD tools (Maven, Git, jenkins)

Strong experience on ORM (hibernate) and PL/SQL procedures

Knowledge of some of UI latest languages / frameworks ( Html5, Angular 4+)

Knowledge of SOA/Microservices (REST, Soap) and its challenges

Strong knowledge on APP server (Tomcat, Weblogic)

Strong knowledge on Microservices

Exposure on Digital stack

-          UX/UI

-          API

-          Machine Learning

-          Big Data

-          Cloud/Docker/IaaS/PaaS

Knowledge on Java Swing

Experience delivering sound development, testing, implementation, deployment and support strategies in complex distributed environments.

Knowledge on production monitoring tools.

Good experience in leading change within a team, especially around testing and quality practices.

Team player, who relentlessly involves others and shares knowledge with them

Should have experience of participant in design reviews and code reviews.

Curiosity in all the latest trends and ready to do POCs with new technical stack