Delivery Manager - Fashion

Full stack software developer who enjoys solving complex problems

• Solid experience in.NET Core, SQL Server, and REACT (including REST)

• Experience in building cloud-native applications (Azure)

• Must be skilled at writing scalable, maintainable code

• Must have the ability to independently envision solutions and write clean code

• 5+ years of defining and implementing Application Architecture.

• Demonstrated experience with the .NET ecosystem (.NET Framework, ASP.NET, .NET Core)

• Demonstrated experience with front-end React, HTML and CSS Frameworks

• Experience building modern, scalable, reliable applications on the MS Azure cloud including services such as:

▪ App Services

▪ Azure Service Bus/ Event Hubs

▪ Azure API Management Service

▪ Azure Bot Service

▪ Azure Cognitive Services

▪ Function/Logic Apps

▪ Azure key vault & Azure Configuration Service

▪ CosmosDB

▪ Azure Search

▪ Azure Bot Framework

▪ Azure Cognitive Services

• Experience with highly available and large-scale cloud deployments.

• Extensive knowledge and experience with Enterprise Level architectural concepts and frameworks.

• Broad knowledge of Agile methodologies and best practices such as SCRUM, Kanban and Continuous Integration.

•  1-3 years of experience in application/web development
• Good experience in working with programming languages Golang.
• Good understanding of REST APIs and the web in general
• Working knowledge of AWS and Kubernetes is a plus
• Understand end user requirements, formulate use cases and come up with effective solutions

Title: Technical Lead, CAST AI center

Location: Bangalore

Reports to: Director, Professional Services

The Person:  The successful candidate will be an intelligent, highly energetic self-starter with excellent communication, technical skills with a very solid technical background in the application development world. Experience of working in Application Modernization / DevOps / Cloud readiness assessments / Flaw Interception & Security projects is mandatory. Prior experience in working with any professional services teams would be a big plus. And you know, love and understand complex technologies, and always seek out engaging technical discussions and has the appetite to work in a fast-paced consulting environment.

Role & Responsibilities: As a lead, you will help address various customer’s problems  - Identifying the applications which can be transformed to cloud, identifying the security vulnerabilities to reduce the business risk, assist Customer modernize their applications by providing MRI like visibility of the software in assessing the complexity, functionality etc, identifying the productivity of the vendor teams to help optimize the efficient use of budget, identifying regulatory requirements like storage of personal data in the applications and help business to be compliant and various other use cases.

Role combines a thorough understanding of the product and recommending the CAST solutions.

• Lead project teams in all technical aspects of project execution, by giving guidance to consultants and project stakeholders, by delivering advanced technical configuration of CAST products
• Should able to analyze an enterprise application using AIP platform of all the phases in the product life cycle
• Work in complete autonomy to deliver project deliverables, for advanced technical deliverables, with required level of quality
• Understand and interpret the various CAST metrics to customers in solving specific use case of CAST customers
• Must have troubleshooting skills
• Able to proactively identify risks related to application /deliverables and propose a mitigation plan
• Capable to execute Pilots and Assessments
• Take responsibility for analyzing a customer application using the CAST product to provide end to end process including the customer process and communication
• Provide custom solutions to customer requirements
• In synchronization with Project Manager, detect potential risks and issues, engage and track remediation plans. Contribute proactively to designing remediation plan for Senior level.
• Contribute to improvement of internal process, tooling and quality process
• Design, build and collect technical materials as part of project executions in a spirit of reusability for future engagements and maintain knowledge on best practices, tools and reusable components for CAST analysis

Experience of the AD world, excellent problem solving & solution-oriented skills, communication skills and a very strong drive are key characteristics for success.

Qualifications:

• Bachelor’s Degree (or equivalent) in a technical discipline; a master’s degree would be a plus
• Effective communication skills in English is mandatory for non-native English speakers (oral and written)
• Minimum 8+ years of technical consultancy experience software development / software implementation in the software industry
• Strong technical expertise and experience in either J2EE or .NET and one of the common databases such as Oracle, DB2 or SQL Server
• Excellent communication skills (oral and written) including an ability to communicate effectively at senior levels within client organizations
• Strong knowledge of the AD ‘world’ is mandatory
• Ability to work independently toward stated business goals

WordPress developers should have the following skills:

• Strong understanding of PHP back-end development.
• In and out understanding of WordPress and theme - plugin implementations.
• Much has experience and knowledge in improving WordPress performance.
• Meeting with website functional requirements.
• Experienced in content structuring and code optimization.
• Good understanding of front-end technologies, including HTML5, CSS3, JavaScript, jQuery.
• Knowledge of code versioning tools.

Please apply at this link - https://loginext.hire.trakstar.com/jobs/fk0q2xl?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk0q2xl?source=

LogiNext is looking for a dynamic and competent professional to manage the efficient execution of accounting services. The work at LogiNext is very fast paced, agile, and hence, you must be able to multitask to deal smoothly with competing levels of priority.

Responsibilities

Responsible for quarterly GAAP and IFRS accounting oversight and financial reporting. Liaise with external auditors to facilitate the timely completion of audited financial statements. - Having experience in Asset Management, Risk Management, Valuations, Tax, Legal, Compliance, Product Management, Middle Office, and Treasury. AP and AR management, ensure timely processing of the invoices and thus timely payments. Invoice clarification including interaction with purchasers, requisitions and/ or vendors and ensuring 100% accuracy of invoices processed. Raising proper queries to business in case of any issues in invoices processing & resolving the issues. Maintain and reconcile Accounts Payable and GR/ IR accounts. Understand and apply procure to pay processes, policies, procedures and internal control standards Support all internal and external audits.

Requirements

Bachelor’s degree in finance, commerce and CA with 1 - 2 years of experience 4 to 6 years of relevant experience in Accountancy administration Proficiency in Microsoft Office, Zoho Books, Oracle or similar accounting software Proficiency in statutory and tax filings including GST, TDS, PF, PT, MLWF, ESIC, sales tax, income tax and related reconciliations Experience of accounting standards Indian GAAP and US GAAP Experience in preparing management reporting (MIS), company vauations, stock option agreements and related computations Experience of secreterial filings with regularory authorities like RoC in India, RBI in India and SEC in the US Should have multitasking ability and ability to meet the targeted deadlines Strong numerical aptitude and attention to detail Excellent communication skills, both verbal and written Good time management and organizational skills

• Bachelor's degree or equivalent practical experience.
• 1-2 years of experience working in sales, marketing, and/or consulting.
• Experience leading sales organizations and delivering business performance.
• People management experience.
• Lead, grow, and coach a team of business development consultants with great sales leadership and culture of performance. Provide leadership, inspiration, mentorship, and career development to members of your team.
• Work closely with the team to uncover and identify growth opportunities via understanding clients’ business models and objectives. Coach team to serve as trusted advisors to deliver best solutions, solving clients’ business challenges and cultivating relationships with clients’ executives through in-person and phone based meetings and other communication channels.
• Lead strategic planning and projects to identify key growth opportunities in the Indian market, including quantitative analysis, industry research, and defining go-to-market plans.
• Drive exceptional collaboration across internal partner teams and leadership critical to your team’s success, building alignment and maximizing joint impact of teams toward common goals of great customer experience and sustainable business growth.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.