Education Requirements:

• MBA required, preferably from Tier I institute.

Experience Requirements:

• 4-6 years’ direct selling experience in Technology Products/ Services / Solutions primarily in B2B environment

• 2+ years SaaS experience preferred

Responsibilities:

• Be the first contact point for any new leads. Effectively, also the face of the company. So excellent written and spoken communication skills are a must.

• Be primarily responsible to open new accounts and sustain strategic customer relationships by selling Digitap.ai’s complete portfolio of solutions.

• Deliver on the tactical sales plans, following up new business opportunities and setting up meetings and product demos as necessary.

• Make Digitap.ai a top recall in the Fintech/NBFC/BFSI fabric of the assigned territory

• Will carry a sales target and we expect you to hit target as often as possible • Act as a bridge between customers and the product team when it comes to feedback and product customizations.

Experience Requirements:

• minimum of 5+ years of hands-on experience in Data Analytics & Supply Chain.

Experience Requirements:

• 6-9 years experience in Proficiency in Appian BPM, including SAIL forms, dashboards, and reports.

Experience Requirements:

• 5-7 years experience in NLP, Machine Learning, Deep Learning, Python, Computer Vision & 1-2 years exp in Gen AI.

Experience Requirements:

• 3+ years in a testing organization/ department with experience in functional, automation, and performance testing

Responsibilities:

• Review system requirements and track quality assurance metrics

• Implement tests, debug, and define corrective actions

• Understand customer’s project and implement the same scenario using the Appvance platform

• Architect and design complex testing scripts in a short time frame

• Document new processes and keep existing documents updated

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Responsibilities:

• Develop and maintain web scraping scripts to extract data from a variety of sources.

• Collaborate with the data team to understand data requirements and implement effective scraping strategies.

• Conduct data quality assessments to ensure the accuracy and reliability of scraped data.

• Optimize scraping processes for efficiency and performance.

• Troubleshoot and resolve issues related to data extraction and scraping. Implement data storage and management solutions using SQL databases, Git, Redis, and Elasticsearch.

Experience Requirements:

• 3+ Years Exp.

• DevOps Skills: CI/CD Pipeline | Terraform or CloudFormation | Ansible, Puppet, or Chef | Docker and Kubernetes | Git

• Big Data Technologies: HDFS, MapReduce, Hive, Pig, Spark | Cassandra, MongoDB, HBase | Apache Kafka

• Programming and Scripting: Java, Python, or Scala

• Cloud Platforms: AWS, Azure, or Google Cloud | AWS EMR, Azure HDInsightSecurity: Knowledge of security best practices for infrastructure and dataProblem-Solving and Troubleshooting

Responsibilities:

• Big Data DevOps Engineer specializing in data infrastructure and operations

Experience Requirements:

• 4+ Years Exp.

• Programming Languages: Python, R, or Java

• Data Analysis and Modeling: sci-kit-learn, TensorFlow, PyTorch

• Database and Data Manipulation: Big data technologies like Apache Spark

• Data Visualization: Tableau, Matplotlib, or Seaborn.Data Engineering: Understanding of data pipeline architecture and development.Machine Learning Deployment: Knowledge of deploying machine learning models into production. | Docker

Responsibilities:

• Data Science Engineer I - Analyze data, drive insights, and innovate solutions

Experience Requirements:

• 4+ Years Exp.

• Product Management Skills: Experience in product management, preferably in a technology or AI-related field.

• Decision Science Expertise: Experience in designing algorithms and models to support decision-making processes.

• AI and Machine Learning Knowledge: TensorFlow, PyTorch, or scikit-learn

• Data Analysis and Statistics:Technical Proficiency: Python, R, or JavaCommunication and Leadership | Business Acumen | Problem-solving and Critical Thinking

Responsibilities:

• Product Manager specializing in Decision Science for data-driven innovation

Experience Requirements:

• 2+ Years Exp.

• AI and Machine Learning Expertise: TensorFlow, PyTorch, etc

• Engineering Leadership: Experience in a leadership role, preferably as an Engineering Manager.

• Technical Proficiency: Python, Java, or R | SDLC

• Platform Development: Knowledge of distributed systems and scalability considerations for AI applicationsAgile Methodology: Experience with Agile development methodologies.Communication Skills | Problem-solving and Innovation | Collaboration | Decision Making

Responsibilities:

• Manager leading AI Platform engineering for innovation and growth

Experience Requirements:

• 4+ Years Exp.

• AI Expertise: NLP, computer vision | AI, ML | TensorFlow, PyTorch, or scikit-learn

• Programming Languages: Python, Java, C++, and others relevant to systems engineering and AI development.

• Data Management: Hadoop, Spark, MongoDB, SQL

• Infrastructure and DevOps: Docker and container orchestration with Kubernetes.Problem-solving and Analytical Skills: Ability to troubleshoot complex technical issues and provide effective solutions.Communication and Collaboration | Security and Compliance | Adaptability and Learning

Responsibilities:

• Experienced professional in systems engineering, specializing in senior-level responsibilities

Experience Requirements:

• 3+ Years Exp.

• Technology Proficiency: Familiarity with CRM

• Research and Analytical Skills: Proficient in conducting market research

• AI and Automation Skills: Familiarity with AI tools and technologies for sales, such as AI-driven lead scoring and predictive analytics.

• Sales Acumen: Understanding of basic sales principles and strategies.Customer Focus: Ability to understand customer needs and tailor communication accordinglyTeam Collaboration | Self-Motivation | Communication Skills

Responsibilities:

• Fueling Growth Through Proactive Sales Outreach and Engagement

Benefits:

• Great Company Culture

• Bring your whole self to work

• Rest and Relaxation

• Health Benefits

• Keep learning

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field

Experience Requirements:

• 15+ years of engineering experience with at least 5 years in a leadership role in analytics programs

• Demonstrable experience leading teams to deliver best-in-class, customer-facing analytics products to enterprise customers

• Proven track record of leading and scaling high-performing engineering teams

• Expertise with cloud platforms (e.g., AWS, GCP, Azure) and analytics tools (e.g., Tableau, Power BI)

• Experience in data warehousing, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka).

Other Requirements:

• Proficiency in programming languages such as Java, Python, or Scala

Responsibilities:

• Oversee the design, development, and maintenance of data pipelines, data warehouses, and analytics platforms.

• Ensure the reliability, scalability, and security of analytics infrastructure.

• Evaluate and implement new technologies and tools to enhance analytics capabilities.

• Help define and implement the analytics infrastructure and engineering strategy, concentrating on scalable data architecture, robust analytics frameworks, and the integration of advanced machine learning capabilities.

• Collaborate with senior product leadership to identify and prioritize analytics initiatives that drive business value.

Benefits:

• Great Company Culture

• Bring your whole self to work

• Rest and Relaxation

• Health Benefits

• Keep learning

Education Requirements:

• You have a technical degree and/or background (CS, EE, ME, Physics etc.) ideally with engineering experience

Experience Requirements:

• 8+ years experience as a product manager or related position, where you've built and launched products with highly cross-functional teams

• At least 5 years experience working in SaaS product management

• Strong bias for action and an intrinsic ability to deal with ambiguity

• Solid understanding of customer needs and experience acting as a customer advocate

• Proven record of delivery and building amazing things that you are proud of in a business setting

Other Requirements:

• You have a proven track record of delivering Software as a Service and/or cloud platform products, driving product reliability and success in a global, cross-functional environment

• You have a technical background with experience in building highly scalable, extremely reliable services

• You are a strategic thinker with strong leadership skills, and a customer-focused mindset.

• An excellent communicator both written and verbal Qualification

• Ability to support 25% US time zones coverage

Responsibilities:

• Lead and mentor the India-based Product Management team, fostering a high-performing, collaborative, and innovative culture.

• Work closely with the Head of Product Management to align goals, priorities, and strategies for the team.

• Serve as the primary point of contact for India-based Product Managers, ensuring clear communication and accountability.

• Drive the strategic vision and roadmap for solutions, ensuring alignment with organizational goals and customer needs.

• Oversee the development of reliable, scalable, and repeatable product solutions that enhance customer satisfaction and operational efficiency.

Benefits:

• 0.1% - 0.5%

Experience Requirements:

• 3+ years

Benefits:

• 0.15% - 0.75%

Experience Requirements:

• 3+ years

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 3+ years of experience in test automation

Other Requirements:

• Expertise in Python or other modern programming languages used for test automation

• Deep knowledge and hands-on experience building automation at all levels: unit tests, integration tests, and end-to-end (E2E) browser tests

• Experience with Playwright (preferred), Selenium, or other modern test automation frameworks for browser-based E2E testing

• Experience integrating test automation into a CI/CD pipeline for seamless, automated software delivery

• A deep understanding of test automation principles

• Excellent problem-solving skills

Responsibilities:

• Drive the design, development, and optimization of the test automation framework to support the team’s automation strategy

• Champion automation best practices and advocate for continuous improvement of test automation processes across the engineering organization

• Identify gaps and areas of improvement in the existing test coverage and automation suite, and take ownership of scaling and enhancing it

• Lead the development of scalable, maintainable, and effective automation solutions for different levels of the application (unit, integration, and end-to-end tests)

• Build and extend automated test suites at various levels

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 7+ years of experience

Other Requirements:

• Expert level proficiency in Python

• Strong data structures, algorithms, and OO software design and implementation skills

• Ability to learn and operate across full stack

• Experience as a creative and strategic thinker

• A “get stuff done” attitude

• A track record of successfully influencing product direction

Responsibilities:

• Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side

• Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams

• Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers

• Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions

• Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc

Education Requirements:

• Bachelor's degree in computer science, mathematics, or related field

Experience Requirements:

• 2+ years of backend engineering experience, including advanced database operations with SQL

• 2+ years of software development experience with Python, including agile development practices (e.g. issue lifecycle management, change control, code review)

Other Requirements:

• Experience with a variety of technologies and ability to pick the right tool for the job

• Ability to communicate and collaborate with cross-functional partners on data processing and analysis projects

• Ability to bring thoughtful perspectives, creativity, and a positive attitude to solve problems at scale

Responsibilities:

• Develop and maintain highly reliable data processing pipelines using Python, SQL, and various technology platforms such as Airflow and the ELK stack

• Manage, analyze, and serve ever-increasing volumes of high-quality data using backend databases such as PostgreSQL and MySQL and frontend tools such as Grafana, Jupyter, and Redash

• Continuously improve the efficiency and effectiveness of Cerebras hardware manufacturing by taking ownership of data from end to end

• Partner with hardware and system engineers to translate data insights into effective decision making while identifying opportunities for automation

• Continually evaluate team processes to maintain an efficient and performant data-driven engineering culture

Education Requirements:

• BS or MS in Computer Science or Electrical Engineering

Experience Requirements:

• 5 years of Design Verification experience

Other Requirements:

• Great debugging and problem-solving skills

• Deep knowledge of SystemVerilog testbench language, DPI and UVM

• Excellent programming skills and knowledge of software engineering practices including object-oriented design

• Experience developing scalable and portable testbenches and components

• Experience with verification methodologies and tools such as simulators, waveform viewers, build and run automation, coverage collection, gate level simulations

• Proficient in a scripting language such as Python or Perl

• Good interpersonal skills and ability & desire to work as a standout colleague are a must

• Extremely self-motivated and eager to solve problems

Responsibilities:

• Work with RTL designers and software engineers to ensure a high-quality design that works first silicon

• Develop detailed test and coverage plans based on the micro-architecture

• Create verification methodologies and reusable environments, including components such as stimulus, checkers, assertions, and coverage

• Write tests, manage regressions, gather coverage, and debug test failures