About Digit88
Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner!
We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners.
With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best.
The Vision: To be the most trusted technology partner to innovative software product companies world-wide
The Opportunity:
As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the
As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.
As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
What You’ll Do
- Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
- Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
- Lead design of experiments and hypothesis tests related to machine learning product features development.
- Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
- Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
- Monitor and analyze machine learning model performance and data accuracy.
- Mentor junior staff members.
- Stay current with best practices in data science, machine learning and AI.
Who You Are
- 3-5 years of experience building and deploying machine learning models
- Master’s or PHD in statistics, mathematics, computer science or another quantitative field
- Strong problem solving skills with emphasis on product development.
- Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
- Experience with SQL and relational databases for data extraction and manipulation.
- Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques
- Passionate about being up-to-date with the latest developments in Machine Learning
- Strong organizational, time management, and communication skills
- High degree of accountability
- Utility, Infrastructure or Energy related field experience is a plus
Benefits/Culture @ Digit88:
- Comprehensive Insurance (Life, Health, Accident)
- Flexible Work Model
- Accelerated learning & non-linear growth
- Flat organisation structure driven by ownership and accountability.
- Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world.
- Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies
- Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more.
You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges.
This is the right time to join us and partner in our growth!
About Digit88
About
At Digit88, our team brings together over 40 years of collective experience in product development and offshore operations, collaborating with both multinational corporations (MNCs) and startups. We take pride in our track record of numerous successes and achievements. Our expertise lies in crafting high-performing teams and delivering well-engineered products that exceed expectations.
Operating within a fast-paced and agile environment is where we thrive. Our adaptability and commitment to excellence enable us to stay ahead in an ever-evolving tech landscape. At Digit88, we are passionate about pushing boundaries, embracing innovation, and delivering outstanding results to our clients. Join us on our journey of continuous growth and impactful solutions!
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About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
- Design, build reliable and scalable automated processes for large scale machine learning.
- Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning.
- Collaborate with Business, Technology and Product teams to stand-up MLOps process.
- Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
- Deep dive into complex algorithmic and product issues in production
- Own metrics and reporting for delivery team.
- Set a clear vision for the team members and working cohesively to attain it.
- Mentor and coach team members
Qualifications and Skills:
Requirements
- Engineering degree in any stream
- Has at least 7 years of prior experience in building ML driven products/solutions
- Excellent programming skills in any one of the language C++ or Python or Java.
- Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
- Developed and productized large-scale models/algorithms in prior experience
- Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Good verbal, written and presentation skills.
- Ability to learn new skills and technologies.
- 3+ years working with retail or CPG preferred.
- Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
Responsibilities
- Writing clean, high-quality, high-performance, maintainable code
- Develop and support software including applications, database integration, interfaces, and new functionality enhancements
- Responsible for the product development and maintenance
- Analyze and resolve performance bottlenecks
Requirements
- 3+ Years of experience in Web Application Development
- Should excel in working with large-scale applications and frameworks
- Expert in Programming using Angular 8/10/11, Web API
- Should have knowledge in Relational and Non-Relational databases (NO SQL).
- Strong knowledge of SDLC methodologies – Agile/Scrum
- Very good development skills in front end technologies/javascript.
- Good understanding of Object-Oriented Programming, Design Concepts & Unit Testing
- Good understanding of Web Security Concepts
Job Description:
1. To connect with qualified leads from SDRs and your contribution.
2. To establish trust and comfort with the prospect.
3. To understand the requirement of a prospect and to frame that requirement into specifics.
4. Work with BA to document and break the requirement into modules and features.
5. Work with the tech team to gather solution approach and estimation.
6. To consult the prospect on the solution approach.
7. To work with BA to prepare proposal and scope document.
8. To work on contract documents and initiate projects.
9. Develop a growth strategy focused both on new business generation and customer satisfaction
10. Conduct research to identify new markets and customer needs
11. Promote the company’s products/services, addressing or predicting clients’ objectives
12. Keep records of sales, revenue, invoices, etc.
13. Provide trustworthy feedback and after-sales support
14. Build long-term relationships with new and existing customers
Desired Candidate Profile
1. Should have a keen interest in IT products and services.
2. Should understand the IT industry and current trends and practices.
3. Should be a thought leader to provide informed and useful suggestions to prospects.
4. Should be able to comprehend a vague requirement and frame it into a quantified requirement.
5. Should have very good negotiation skills to negotiate not only on price but also on ideas, suggestions, and rebuttals.
6. Should have excellent communication skills.
7. Should have good general knowledge to connect with prospects and establish connections.
8. Should be highly driven by targets.
Hi,
Greetings from MNR!!
Hope you are doing well, Garima (Sr. TA Executive) @ MNR Solutions Pvt Ltd, a Human Capital Solutions Company specializing in Global Executive Search and Selection, Recruitment Process Outsourcing and Human Resources Consulting across industries. Headquartered at Delhi/NCR – Noida with presence in Delhi, Bangalore, India & Mauritius
Job Description:
Company Name:MNR Solutions
Designation: Managed Sales
Exp: 8+Years
Location: Mumbai.
Role 1:
- At least 5 years of in Managed Service Business
- Based out of Mumbai
- Overall, 8 years of experience.
- System integration experience.
- Industry experience of any BFSI, Manufacturing, pharma, retail etc.
- Managed service automation experience is preferred.
- Masters Graduate,
- ITIL Certification Preferred
- Local Enterprise IT Leadership Connects
- Presentable, Good Communication & Presentation Skills
- Ability to Map and Connect with Technology and SCM Organization
- Ability to team up within the Organization for Deal Orchestration.
Role 2:
- At least 8yrs of in Managed Service Business
- Based out of Mumbai
- Overall, 12-14 years of experience.
- System integration experience.
- Industry experience of any BFSI, Manufacturing, pharma, retail etc.
- Managed service automation experience is preferred.
- Masters Graduate,
- ITIL Certification Preferred
- Local Enterprise IT Leadership Connects
- Presentable, Good Communication & Presentation Skills
- Ability to Map and Connect with Technology and SCM Organization
- Ability to team up within the Organization for Deal Orchestration.
- Automate deployments of infrastructure components and repetitive tasks.
- Drive changes strictly via the infrastructure-as-code methodology.
- Promote the use of source control for all changes including application and system-level changes.
- Design & Implement self-recovering systems after failure events.
- Participate in system sizing and capacity planning of various components.
- Create and maintain technical documents such as installation/upgrade MOPs.
- Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
- Support 24x7 availability for corporate sites & tools.
- Participate in rotating on-call schedules.
- Actively involved in researching, evaluating & selecting new tools & technologies.
- Cloud computing – AWS, OCI, OpenStack
- Automation/Configuration management tools such as Terraform & Chef
- Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
- Atlassian Datacenter products
- Project management skills
Qualifications
- 3+ years of hands-on experience in the field or related area
- Requires MS or BS in Computer Science or equivalent field
- Expert software implementation and automated testing
- Promoting development standards, code reviews, mentoring, knowledge sharing
- Improving our Agile methodology maturity
- Product and feature design, scrum story writing
- Build, release, and deployment automation
- Product support & troubleshooting
- Demonstrated experience as a Java
- Should have a deep understanding of Enterprise/Distributed Architecture patterns and should be able to demonstrate the relevant usage of the same
- Turn high-level project requirements into application-level architecture and collaborate with the team members to implement the solution
- Strong experience and knowledge in Spring boot framework and microservice architecture
- Solid demonstrated object-oriented software development experience with Java, SQL, Maven, relational/NoSQL databases, and testing frameworks
- Strong working experience with developing RESTful services
- Should have experience working on Application frameworks such as Spring, Spring Boot, AOP
- Ability to take up tasks independently and willing to be an individual contributor when required
- Working experience or knowledge of Scrum/Kanban and SAFe agile processes
- Should have an excellent communication skill (Verbal & Oral)
WE ARE GRAPHENE
Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.
Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
WHAT WILL THE ENGINEER DO?
- Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, design and develop web applications and SPA’s i.e., UI/UX, and underlying backend – API’s, security framework, scalable microservices etc.
- Daily Grind: Interface with the product manager, project managers, and the engineering team to achieve sprint goals on the product roadmap.
- Career Progression: Senior Full Stack Engineer, Technical Architect
YOU CAN EXPECT TO
- Work in a product-development team capable of independently authoring software products.
- Guide junior programmers, set up the architecture, and follow modular development approaches.
- Design and develop code which is well documented.
- Optimize of the application for maximum speed and scalability
- Adhere to the best Information security and Devops practices.
- Research and develop new approaches to problems.
- Design and implement schemas and databases with respect to the AI application
- Cross-pollinated with other teams.
HARD AND SOFT SKILLS
Must Have
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Angular/React, Strong UI/UX skills
- Very strong python background, TDD, CI/CD,
- Software design skills i.e., OOPs, design patterns
- SQL, NoSQL – design of schemas and databases
- Microservices architecture, Cloud native apps
Good to Have
- Enterprise Design Patterns
- Distributed Systems
- Exposure to ML and Data Science
- Docker, Kubernetes, AKS, Kafka, Graph databases