Digital Delivery and Innovation Lead

AI Lead

Product Specialist

Sr. Business Development Manager - Process Automation

Decoupling Architect

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Financial Analyst ASC

Data Analytics Lead

Data Scientist - Entry

Responsibilities: <ul><li>Lead the development and execution of digital strategies that enhance business processes, improve customer experience, and drive growth</li><li>Oversee the delivery of digital projects, ensuring they are completed on time, within budget, and meet quality standards.</li><li>Foster a culture of innovation within the organization by identifying emerging technologies, trends, and best practices that can be leveraged to create new business opportunities.</li><li>Collaborate with key stakeholders, including senior leadership, IT, marketing, and operations teams, to ensure alignment and support for digital initiatives.</li><li>Manage and mentor a team of digital professionals, ensuring they have the skills and resources needed to succeed in their roles.</li><li>Identify and mitigate risks associated with digital projects, ensuring compliance with regulatory requirements and industry standards.</li><li>Monitor and report on the performance of digital initiatives, using data and analytics to drive continuous improvement.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Information Technology, Business Administration, or a related field.</li><li>Proven experience in digital transformation, project management, and innovation leadership.</li><li>Strong understanding of digital technologies, including cloud computing, AI, IoT, and data analytics.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to lead cross-functional teams and manage multiple projects simultaneously.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities: <ul><li>Offering Enhanced Solution Delivery to Process Automation, Power Transmission &amp; Distribution, and Power Generation industries helping customers jumpstart to digital focusing on asset optimization, efficiency and &amp; thereby cost savings.</li><li>Dealing with customers on solutions that have a combination of technology and business process re-engineering that comprises end-end solutions covering IT (CRM platforms, Enterprise Content Management), OT, Security, Cloud Technologies, Data Analytics, and dash-boarding / visualization solutions, Smart Manufacturing/Industry 4.0</li><li>Participating and presenting in industry-specific events while liaising with key stakeholders in Govt sectors and building Go-To-Market plans.&nbsp;</li><li>Assessing future market trends in the industry and offering recommendations and closely working with internal sales to build a healthy funnel of projects.&nbsp;</li><li>Explore AI, Digital Twins, etc. to gain insights and strategic competitive advantage&amp; drive strategic initiatives with large accounts and end-user seminars.&nbsp;</li><li>Closely work with the internal strategic team to support and build eco-system partners to enhance solutions and customer experience.&nbsp;</li><li>Engaging with customers, and consultants, and mapping key stakeholders in an organization to educate and promote company solutions &amp; being a speaker to present company Enhanced Solutions to customers and industry events.&nbsp;</li><li>Managing end-to-end operations in the visualization of the shop floor to ensure enhanced production efficiency, quality, and reduced downtime.&nbsp;</li></ul> Requirements: <ul><li>Education – Degree in relevant discipline with a minimum of 10+ years’ sales experience in the Automation sector.</li><li>Markets – Technically strong and familiar with smart manufacturing that covers – IoT, networking, security, edge, and cloud solutions.&nbsp;</li><li>Should understand the entire automation process from the field to the control center/cloud. Experience in project sales with industry connections at every level with End Users, Consultants, System Integrators, and EPCs.&nbsp;</li><li>Relevant knowledge of field-level process areas in manufacturing will be an added advantage.&nbsp;</li><li>Customers Define our Success – Should be able to independently conduct presentations and should be good at articulating business cases to customers/partners and senior management.&nbsp;</li><li>Organizational leadership skills - aggressive in achieving results, while collaborating and communicating effectively with other members of the team and partners.</li><li>Relevant Industry Experience – Process, Pharma, Metal, Mining, CPG, Cement, and other manufacturing industries.</li><li>Strong connections with consultants will be an added advantage.&nbsp;</li><li>Must have connections with C-level executives at the end-user level.&nbsp;</li><li>Should have connections with major SIs and EPC contractors in this space.&nbsp;</li><li>A good social network will be preferred.</li></ul>

Responsibilities: <ul><li>Experience &amp; knowledge with Digital commerce, Hyper personalization, connected experience and able to articulate new systems around the theme.</li><li>Able to understand the downstream business process which stitches the technology and platforms for a new age Airline solution</li><li>Completely understands concept of Cloud Native, on ground journey to cloud success deliveries carried out, Scaled Enterprise Integrations done for larger transformation and consolidation systems for multiple organizations</li><li>Experience in orchestrating the solution shape up of large-scale processing and business services projects</li><li>Create business arch models that reflect client strategies and goals to cover the entire digital transformation journeys in IT landscape</li><li>Find ways in which to improve client IT departments functions to support client future goals mainly for all the digital platform landscape covering, Interactive, Mobility, Integrations Cloud systems</li><li>Deliver Technical Specifications end to end.</li><li>Design custom development solution that meet customer requirements</li><li>Progress through full development lifecycle for custom solution</li><li>Strong collaboration with team software engineer consultants onshore &amp; offshore</li><li>Deploy new solutions to production environments</li><li>Innovate on new ideas to solve customer needs &amp; assist to market internally new solutions</li><li>Provide project estimates and timelines to drive new business</li></ul> Requirements: <ul><li>Experience &amp; knowledge with Azure Cloud platforms. Strong Cloud Native knowledge</li><li>Good understanding of Amadeus reservation, ticketing, payment and loyalty solutions</li><li>Able to explore Amadeus core capabilities and enhance via orchestration with 3rd party partner services</li><li>Good experience in working with Payment aggregators</li><li>Experience &amp; knowledge with Web Analytics or Digital Marketing, Deep Understanding is must</li><li>Experience &amp; knowledge with FED frameworks like Angular, Native mobile mainly from Design aspects</li><li>Experience &amp; knowledge with Digital Integration / API Middleware platforms. Strong in Integration Architecture concepts</li><li>Experience &amp; knowledge with GenAI, ML/AI. Good to have knowledge</li><li>Experience &amp; knowledge with Customer Data Platform (CDP). Any tool knowledge</li><li>Experience as an enterprise technical or engineer consultant</li></ul>

Responsibilities:Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.Integrate new AI services across the platform and Aladdin application ecosystem. Refine business and functional requirements and translate them into scalable technical designs.Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.Apply quality software engineering practices throughout the software development lifecycle.Optimize the software delivery and workflow of the team. Work with team members in a multi-office, multi-country environment.Requirements:B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2+ years of proven experience, or equivalent experience, for Associate positions and 4+ years, or equivalent experience, for Vice President.Proficiency and hands-on experience in object-oriented programming with Java and Python.Proficiency in designing and building scalable APIs and Microservices.Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.Ability to reverse engineering existing applications.Grit in the face of technical obstacles Experience working in Agile development teams with excellent collaboration skills.

Responsibilities:Provides expert and objective advice to executive management to support decision-making in respect of all aspects of transactions. Is a core member of multi-functional transaction execution teams, providing end-to-end finance support to transactions.Screens and evaluates commercial options and evaluates transaction counterparties and joint venture partners.Is responsible for the valuation aspects of transactions, ensuring that financial models and outputs are prepared according to standards, that risks are considered, and that input assumptions are robust and documented, and that deficiencies and risks are considered.Prepares bid price recommendations for senior management reflecting competitive landscape.Manages the financial due diligence process (coordinating the activities of advisors as required), ensuring that due diligence findings are communicated to executive management and factored into valuation and/or definitive agreements.Advises on the accounting aspects of transactions.Contributes to definitive transaction agreements and is responsible for purchase price adjustments and post-transaction purchase price allocation.Is a member of the integration planning team, advising on finance aspects of integration.Coordinates the inputs of other finance experts to transactions.Develops, coaches and mentors team members on transactions.Contributes to the continuous improvement of processes and methodologies to become a center of excellence of M&A execution for the Company.Provides ad hoc financial analysis activities including on transfer pricing, impairment reviews, government incentives, and group policy reviews.Manages external Financial Advisors and consultants on transactions. Develops relationships in banks to bring external perspectives on the M&A landscape to the Company.Requirements:10+ years relevant experience in conducting financial analysis in M&A transactions, likely gained in leading investment banks, accounting firms, or large international corporations.Significant experience in large and complex cross-border transactions with a strong preference for experience in energy, natural resources, or infrastructure sectors.Expert level knowledge and use of financial analysis tools and methodologies, understanding of financial statements, familiarity with International Financial Reporting Standards (IFRS) and international taxation.You will hold a Bachelor’s degree in Finance, Accounting, Business, Management, or Engineering.Possession of an advanced business degree (e.g. MBA) or Accounting qualification is preferred, but not required.

Responsibilities: <ul><li>Charting out data product roadmaps with their business stakeholders</li><li>Leading and mentoring analytic teams</li><li>Delivering data driven insights across organization</li><li>Work closely with the business to develop, recommend and establish strategies, plans and processes to improve profitability and cost efficiencies</li><li>Defining the data/AI strategy in line with the company strategy for efficient planning and execution</li></ul> Requirements: <ul><li>Minimum 10 years of experience</li><li>Expert on leading projects with marketing &amp; commercial team</li><li>Strong in team management</li><li>Exceptional regional stakeholder management</li><li>Capacity to challenge business</li><li>Problem solving skills</li></ul>

Role Description:The Data Scientist role will work in a team environment to deliver business solutions.This will involve engaging with clients, internal onsite experts, and contract resources to develop and support IT solutions.Responsibilities: Works on clearly defined projects involving a limited amount of complexity, with regular review of output.Applies basic knowledge of established systems software development principles and best practices to independently resolve problems and make minor changes to existing processes/systems.Good to have sound knowledge on Generative AI , machine learning concepts and principles.Knowledge of advanced predictive analytics using tools like Python or R.Knowledge of Frameworks such as Scikit-learn , Numpy, Pandas, Beautifulsoup, Matplotlib, Dash.Experience working with visualization tools like Power BI and Tableau.Strong written, verbal and interpersonal communication skills.Ability to work in teams and good team player.Requirements:0.6 -2 Years of Experience.Education: B.Tech/B.E. - Any Specialization, M.E/M.Tech - Any Specialization, MCA.Should have attended a Data Science Bootcamp / Course / Internship.

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76 asc ai Jobs found

Digital Delivery and Innovation Lead

AI Lead

Product Specialist

Sr. Business Development Manager - Process Automation

Decoupling Architect

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Financial Analyst ASC

Data Analytics Lead

Data Scientist - Entry

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Skills

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76 asc ai Jobs found

Digital Delivery and Innovation Lead

AI Lead

Product Specialist

Sr. Business Development Manager - Process Automation

Decoupling Architect

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Financial Analyst ASC

Data Analytics Lead

Data Scientist - Entry

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.