Data Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
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Position Name: Implementation Consultant
Work Shifts: 6 pm- 3am IST
Work Location: Remote, India
Required Experience : 10 + Years
Position Overview :
Replicon the world's first knowledge workforce management solution provides a modern and unified solution designed for your business. We help align your people with projects, skills and time to build a high-performing organization. Replicon has 25+ years experience building world class SaaS products with an R&D budget of 41%. We are a 700+ strong team across multiple geographies and have 7800+ customers in 80+ countries.
As an Enterprise Implementation Consultant, you will be responsible for ensuring that Replicon’s customers achieve success with their chosen solution, which is defined by effective implementation, high user adoption, and return on investment. Leveraging your functional, technical and consultative skills, you will achieve these goals by understanding the customer’s overall business objectives and provide recommendations on how to get the most out of Replicon’s solutions to facilitate our customers business need. You will partner with our enterprise project team to review current business processes and make recommendations to improve efficiency while mapping solution design to Replicon product functionality.
Individuals with implementation experience in HRIS, time management, ERP, and/or payroll systems are encouraged to apply. Ideal candidates would have proven history of exemplary consultative skills, client servicing skills and experience in translating technical requirements to business solutions. You are expected to be creative and think outside the box to and be able to operate in in a fast-paced environment with competing priorities
Open to work in Global working hours
We have:
- An innovative, market-leading enterprise solution with a growing customer base
- An exciting, nurturing culture that rewards a determined attitude of getting things done and problems solved
- Clear goals with an opportunity to learn new things and explore a variety of avenues
- Smart, well-connected global teams that work like a family with the sole aim to delight customers
- An open-minded approach to continuous improvement of people, product and processes
You have:
- Bachelor’s Degree or equivalent work experience in the software industry
- PMP, ITIL certification is a plus
- Overall 10+ years of experience with 8+ years of strong consulting, customer delivery, Implementation experience of business software such as ERP, CRM, Payroll, HRIS, SAAS applications is a plus
- Excellent business acumen and experience dealing with challenging situations
- Experience working and communicating with C level executives and HR/Payroll heads
- Experienced in handling multiple complex engagements simultaneously
- Experience implementing multiple project configuration set up, with proven incorporation of structured planning and testing processes
- Expertise in setting and managing customer expectations at enterprise level
- Expertise in business processes, knowledge on system development, process improvements
- Expertise in gathering business requirements, process flows and use cases
- Expertise with modelling and mapping as-is and to-be business processes.
- Engaged in integration touch points and understanding of emerging technologies
- Excellent verbal and written communication skills
What you’ll do:
- Implement and manage a large volume portfolio of key customer accounts
- Responsible for optimal solution design and ensure it meets the client’s business needs
- Work closely with stakeholders within each customer account to identify their workflow processes and business challenges to create a Business Requirements document and project plan with the goal of a successful implementation of their chosen Replicon solution
- Oversee successful implementation/configuration of Replicon’s product suite for each customer account by closely working with business analyst
- Develop a strategy for each engagement by identifying their critical success criteria, measurable milestones, potential risks, and recommended plan of action
- Work collaboratively with internal resources keeping the best interests of the customer (technical support, engineering, sales, etc.) and meeting project timelines
- Participate in project planning activities, including defining detailed project tasks/activities
- Ensure 100% quality on each delivery using standard testing methods, validation, and user acceptance testing
- Translate the functional and technical requirements into business document. Responsible for preparing test scripts; training materials and maintaining required checklists
- Responsible for overall project management, stakeholder management and customer management
- Consistent engagement with various levels such as PMO, C Levels, IT, Operation heads at the customer end during engagement
- Share best practices by providing not just product consulting but also a touch of business consulting (as required) based on the domain, industry, or region of the customer
- Be responsible for the research, design, development, and deployment of all products and platforms
- Proficient full stack web developer with experience in building large-scale applications.
- Ensure that the platform remains secure, scalable, sustainable.
- Set the bar for the quality of code, software engineering practices, communication skills, dealing with complexity and ambiguity.
- Hire all technical roles
- Strong analytical, problem solving, and troubleshooting skills
- Experience in working with MERN Stack (or any other stack)
- Strong foundation in computer science fundamentals: data structures, algorithms, and coding
- Excellent knowledge of Design Principles/patterns and Architecture Principles
- Expertise on AWS
- Design and build Scalable Web Applications
- Experience in DevOps Processes
- As a Tech Lead you will be expected to adapt to a dynamic work environment. Stay updated with latest in technology
- Own the product release end to end
- Ability to think Out of Box to create innovative solutions
- Strong technical acumen and cross-functional familiarity with Product Management and UX
- Experience in a young startup and build products from scratch
Answering customer queries
● Maintaining and analyze the customer database
● Tracking all the complaints,feedback, requirements
raised by customers and prepare reports
● Planning and delivering CRM strategies across the
organization with a view to retaining existing
customers, increasing brand loyalty and expanding the
company brand.
● Deciding on a final CRM structure and architecture
that will work seamlessly across the business and
capture crucial information along the sales funnel.
● Making sure the customer database is correctly
segmented for targeted marketing activities.
● Collaborating with other departments ensures the
CRM strategy works well for every aspect of the
business.
● Development of testing strategies to guarantee the
most efficient approach for the organization and its
customers.
● Handle all CRM platforms - Call and chat
● Running customer loyalty programs for repeat
customers
IT Sales Communication Skills Business Development Outsourcing
Mobile Development Software Marketing IT B2B Sales Application Development Client Servicing Software Sales Learning Management Web Development Software Solution Sales Client Relationship
Company- Accionlabs Technologies[www.accionlabs.com]
Location- Bengluru
Work Type- Permanent
Salary- Open
Its work from office job
Key Aspects of Role
Leverage deep knowledge of the full technology stack to help achieve business objectives and
customer outcomes
Collaborate with Product Management to validate the technical feasibility of and establish non-
functional requirements
Collaborate with Architecture to evolve architecture to solve technical challenges, support
future requirements, scale effectively, continually meet/exceed SLAs and resolve tech debt
Technical advisor to internal or external stakeholders on complex technical components
Technical leader working with the team to help remove blockers and act as a tie breaker
Adjust the team processes, listening to feedback and guiding the team through change and
driving continuous improvement
Guide, teach, and mentor team, providing feedback and moderating discussions
Represent the interests of the team in cross functional meetings
Maintain and proactively share knowledge of current technology and industry trends
Work closely with peers to ensure the team is aligning with cloud native, lean/Agile/DevOps &
12 Factor Application best practices ensuring rapid value delivery and with quality
Collaborate with other Principal Engineer’s to drive engineering best practices around testing,
CI/CD, GitOps, TDD, architectural alignment, and relentless automation
Excellent understanding and familiarity with Cloud Native and 12 Factor Principles,
Microservices, Lean Principles, DevOps, Test Driven Development (TDD), Extreme Programming
(XP), Observability / Monitoring
Required Skills
Coding experience in Java
Extensive hands-on experience working with AWS cloud products and services
Experience with popular open-source software such as Postgres, RabbitMQ, Elasticsearch, Redis
and Couchbase
Experience working with NodeJS, React/Redux, Docker Swarm, Kubernetes
Experience with development frameworks such as the Spring/Spring Boot framework, Hibernate
and knowledge of advanced SQL
Proficiency with modern object-oriented languages/frameworks, Terraform, Kubernetes, AWS,
Data Streaming
Knowledge of containers and container orchestration platforms, preferably Kubernetes
Experience delivering services using distributed architectures: Microservices, SOA, RESTful APIs
and data integration architectures
Knowledge of containers and container orchestration platforms, preferably Kubernetes
Advanced Architecture and system design skills and principles
Excellent organizational skills and can drive a cross-team strategic project or initiative
Solid coaching, mentorship and technical leadership to help others grow
Able to drive consensus/commitment within and across teams and departments
Advanced critical thinking and problem solving on complex issues and customer concerns.
Strategic thinker beyond immediate needs, considering the longer-term
Excellent communication skills, with ability to communicate highly complex technical concepts
Demonstrate high level of empathy with internal colleagues, stakeholders and customers
•Ensures that products conform to business requirements/company policies, software quality standards, and established procedures
•Confirms that testable systems are specified, designed and implemented
•Designs, documents and implements procedures and techniques that are consistent with departmental SQA Methodology for analyzing, testing, and evaluating the risk (software & business), accuracy, completeness, internal integrity/consistency, testability and overall quality of business systems and SDLC processes
•Creates and maintains SQA deliverables including test plans, test cases, test data, project test progress and release reports, application turnover documents and test schedules
•Recommends and assists in corrective actions taken at all stages of product life
•Submits and tracks production (maintenance) and release issues in their respective systems
Engineering Manager
Our Client is a leading SaaS platform used by about 100,000 users across 25 countries to grow their businesses.
Our Client differentiates itself by focusing on high-velocity, high-volume sales businesses, and helping the sales force in those businesses to close deals faster. Clearly – scale, performance are the key drivers for us given that our users need to work in large, high-volume, fast-paced environment.
World’s largest edutech and financial services organizations use our product to drive their sales execution.
ROLE
With the recent Series B raise of $32 million, we are all geared up to scale our business globally. Naturally, the engineering team needs to rapidly improve the product, work on scale and performance, and build new features and products to capture new markets.
We are seeking seasoned leaders to grow our engineering teams, scale our development & release processes, and create world class products.
The role will involve building high-performance software engineering teams and delivering world-class software
Presenting plans, updates and risks to all stakeholders is a critical part of the role.
Leaders must be hands-on when it comes to addressing customer issues, code quality, RCA / issue prevention and managing risks.
Requirements
- 10+ years of experience in building software products and SaaS applications
- Highly energetic leader with experience of building high-performance engineering teams and delivering great software
- Exposure to managing scale and huge growth in software usage
- Worked with product design teams, customers and other stakeholders to create a well-defined product roadmap and deliver per plan
- Highly customer-focused with the ability to manage fast-paced release environment
- Strong knowledge of AWS from architecture and costs perspective.
- Exceptionally well-organized individual with great listening, communication and presentation skills
Experience- .NET, AWS
Job Title: Chief Engineer: Deep Learning Compiler Expert
You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.
In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.
Necessary Skills / Attributes:
- 6 to 15 years of experience in the field of compiler design and graph mapping.
- 2+ years hands-on experience with MLIR and/or LLVM.
- Experience with multiple toolchains, compilers, and Instruction Set Architectures.
- Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
- Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
- Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
- Familiarity with parallelization techniques for ML acceleration.
- Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
- Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
- Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
- Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
- Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
- Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
- Experience with Hardware and Software Co-design.
M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.
Work Profile:
- Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
- Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
- Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
- Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
- Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
- Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
- Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
- Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
- Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
- Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
- Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
Keywords to source candidates
Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler