Machine Learning Research Engineer

• Pega Certified Lead with hands-on understanding of Pega Build, Design, Architecture

• Innovative zest for creating Intellectual Properties, Accelerators and solutions which can impact business value on Applications.

• Thorough understanding of current and future technology trends and ability to leverage them with minimum interventions and creating cost-effective value propositions with winning themes to make definite GTM impact.

• Participate in short-term consulting engagements and pre-sales assessments/workshops

• Collaborates with sales, delivery, technical and vertical teams to ensure proposed deals include technical solutions, winning themes that accurately address customer needs

write high quality reusable c# code in unity

create required plugins and modules from scratch

creating high quality VR training interactions based on story board

LogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

Responsibilities: 

• Responsible for monitoring project deliverables on day to day basis 
• Required to update relevant stakeholders or team members on the project's progress. 
• Assist, train, and ensure project team members with tasks that you have assigned to them. 
• Test the product modules and manage the change request, bug reports, etc. 
• Assist project managers in the planning, execution, and monitoring of projects Develop and maintain project plans, timelines, and progress reports. 
• Facilitate communication between intern stakeholders, clients, vendors, and management. 

Qualifications:

•  Bachelor's Degree or equivalent experience. 
• 3+ years of relevant Project Management experience. 
• Strong verbal, written, and organizational skills for documentation, user stories, etc. 
• Proficient in MS Excel, and Presentation. Proficient in Jira, Confluence, and Notion is a plus. 
• Excellent organizational and time-management skills. 
• Strong communication skills, both verbal and written. 
• Ability to work well in a team environment. 
• Experience with project management tools and software. 
• Ability to identify project risks and issues, and develop mitigation plans.

• You have 2+ years of experience with production GCP/AWS; Experience with Kubernetes is a plus
• You have conducted penetration testing using different tools like Backtrack and Metaspoilt
• You have experience in developing security training and guiding the internal development teams
• You design and implement best practices concerning information security
• You can create programs to implement Identity and Access Management
• You have to develop automated security testing.
• You have to triage security issues and provide recommended fixes.
• You have conducted vulnerability assessments using various open-source and commercial tools.
• You are an excellent collaborator & communicator. You know that start-ups are a team sport.
• You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
• You are excited by the prospect of working in a distributed team and company.

Responsible for regularly generate and analyse Inventory reports for the assigned site location, Support site Finance team on analysis of Cost of Raw Materials and Production, Inventory Variance analysis, updating of valuation class, Create and Archive Monthly Journal Entries. Analysis of inventory transactions to ensure integrity of inventory value, COGS, and inventory adjustments & provisioning, purchase price variance, to ensure accurate financial reporting of inventory.

Communication and (internal) stakeholder management with higher management levels within the Global Teva organization is required in this process.

KEY RESPONSIBILITIES

• Technical/functional knowledge in Inventory Accounting, Closing and inventory reporting
• Preparation of Journal Entries & Supporting schedule
• Perform Monthly and quarterly inventory close activities of multiple entities
• Analysis of the inventory and variances per legal entities, obtain explanation on deviations and prepare a summarized reporting on a monthly basis within scheduled time
• Preparation & clearance of reconciling items of account reconciliations
• Hands on experience in submission of trial balance in HFM
• Hands on experience in Inventory analysis support site Finance leaders
• Identify & drive standardization opportunities in processes and tasks across the team

• Support of external and internal audit requests by providing inventory analyses
• Management of day-to-day operations relating to inventory accounting & analysis

• Ensuring that accounting books and records comply with accounting policies and regulations
• Provide supporting documents and explanations for all internal and external audit as and when required

Participate in ad-hoc activities and projects

SKILLS/QUALIFICATIONS:

• University education in Accounting or Finance required
• ICWA / CA / MBA
• Minimum experience of 4+ years of inventory accounting & reporting experience
• Preferably familiar with USGAAP

• Working knowledge of internal controls
• Good working knowledge of SAP
• Good analytical skills and have hands on experience on inventory working & analysis

• Fluent verbal and written communication in English

• Experience in a multinational firm or within a GBS (Global Business Service) is preferred

• Hands-on and proactive; strong organizational skills

• Accustomed to working with deadlines, in a dynamic environment

• Results driven and service oriented to internal and external customers
• Excellent collaboration with colleagues within the local organization and with the colleagues of the global business service to support the overall Finance department’s goals and objectives
• Flexible and able to work in a changing environment

• Strong focus on improvement opportunities
• Want to work in a new (to be) established team
• Process documentations and certifications – will have to ensure that all process are appropriately documented and periodically certified by team members on regular basis
• The individuals must have hands on experience in preparing process flows