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Infosys Machine Learning Jobs (NOW HIRING)

... Infosys Limited Company ITL USA Requisition ID 148168BR Technical Skills 1 Technology|AI ... S. or PhD in computer science, machine learning, or a related field or equivalent practical ...

AI ML Engineer with LLM & AWS Integration

Raleigh, NC · On-site

$101K - $136K/yr

Required : • Experience in Design, develop, and fine-tune machine learning models, particularly ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Preferred ...

AI ML Engineer with LLM & AWS Integration

Plano, TX · On-site

$100K - $134K/yr

Required : • Experience in Design, develop, and fine-tune machine learning models, particularly ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Preferred ...

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

Required : • Experience in Design, develop, and fine-tune machine learning models, particularly ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Preferred ...

Required : • Hands-on experience with at least one major machine learning framework (PyTorch ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Preferred ...

AI ML Engineer with LLM & AWS Integration

Reston, VA · On-site

$108K - $145K/yr

Required : • Experience in Design, develop, and fine-tune machine learning models, particularly ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Preferred ...

Required : • Hands-on experience with at least one major machine learning framework (PyTorch ... Infosys is unable to provide immigration sponsorship for this role now or in the future. Preferred ...

... Machine Learning OR AI Engineering, Data Science, Computer Engineering, or other related fields • ... Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program ...

... Machine Learning OR AI Engineering, Data Science, Computer Engineering, or other related fields • ... Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program ...

... Machine Learning OR AI Engineering, Data Science, Computer Engineering, or other related fields • ... Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program ...

... Machine Learning OR AI Engineering, Data Science, Computer Engineering, or other related fields • ... Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program ...

... Machine Learning OR AI Engineering, Data Science, Computer Engineering, or other related fields • ... Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program ...

... Machine Learning OR AI Engineering, Data Science, Computer Engineering, or other related fields • ... Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program ...

Azure Databricks Admin

Hartford, CT · On-site

$55.50 - $68.75/hr

At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate ... We are committed to fostering a culture of continuous learning and growth, ensuring that our team ...

At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate ... We are committed to fostering a culture of continuous learning and growth, ensuring that our team ...

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Showing results 1-20

Infosys Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do infosys machine learning jobs pay per year?

As of Jul 4, 2026, the average yearly pay for infosys machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Infosys Machine Learning Engineer, and why are they important?

To thrive as an Infosys Machine Learning Engineer, you need a strong background in computer science, statistics, and programming languages like Python or R, often with a relevant degree or certifications. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS or Azure), and data processing tools is typically required. Problem-solving, analytical thinking, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies ensure the development of accurate, scalable machine learning models that drive business value and innovation.

How does a Machine Learning professional at Infosys typically collaborate with cross-functional teams during a project?

At Infosys, Machine Learning professionals frequently work alongside data engineers, software developers, domain experts, and business analysts to deliver AI-driven solutions. Collaboration usually involves participating in project planning meetings, sharing insights on model development, and integrating machine learning models into production systems with the help of the IT team. Effective communication and an understanding of both technical and business requirements are key to ensuring that models meet client needs and are implemented smoothly. This collaborative structure not only supports successful project delivery but also provides opportunities to learn from experts in various fields.

What is the difference between Infosys Machine Learning vs Infosys Data Analyst?

AspectInfosys Machine LearningInfosys Data Analyst
Required SkillsMachine learning algorithms, programming (Python, R), data modelingData interpretation, SQL, Excel, reporting tools
Work EnvironmentDeveloping models, algorithms, and AI solutionsData cleaning, analysis, and visualization
CertificationsMachine Learning, Data Science certificationsData analysis, SQL, Excel certifications
Industry UsageAI, automation, predictive analyticsBusiness insights, reporting, data management

Infosys Machine Learning roles focus on developing AI models and algorithms, requiring programming and machine learning expertise. In contrast, Infosys Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are vital in the data ecosystem but differ in technical depth and focus areas.

What is an Infosys Machine Learning Engineer?

An Infosys Machine Learning Engineer is a technology professional who designs, develops, and deploys machine learning models and solutions as part of Infosys’s digital transformation services for clients. They work with large datasets, apply algorithms, and collaborate with data scientists, software engineers, and business teams to solve complex business problems using AI and machine learning. Their role often includes data preprocessing, model training, evaluation, and integrating models into production systems. Infosys Machine Learning Engineers also stay updated with the latest advancements in AI to deliver innovative solutions tailored to various industries.
More about Infosys Machine Learning jobs
What are the most commonly searched types of Infosys Machine Learning jobs? The most popular types of Infosys Machine Learning jobs are:
What states have the most Infosys Machine Learning jobs? States with the most job openings for Infosys Machine Learning jobs include:
What job categories do people searching Infosys Machine Learning jobs look for? The top searched job categories for Infosys Machine Learning jobs are:
Infographic showing various Infosys Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Wealth Management Product Owner, Infosys Consulting

Infosys Limited Digital

Bridgewater, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Job details
Job Role
Principal - Business Consulting
Work Location
Bridgewater, NJ, New York, NY
State / Region / Province
New Jersey, New York
Country
USA
Skills
Process|Consulting processes|Technology Consulting process
Domain
Consulting
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
146764BR
Salary min
154375
Salary max
193125
Product Manager/Owner - Wealth Management & Trust, Infosys Consulting
The Role - What You'll Do
You will be part of a cross-cultural global team working on a variety of business consulting engagements in Wealth Management. You will be a part of a world-class product management team which will help drive innovation and improve user experience in wealth management area.
You will take up a range of roles in the areas of process consulting, experience design, business analysis, applied AI, tech strategy, program and change management. You will analyze problems and come up with solutions, often creative and out-of-the-box, apply business consulting frameworks and methodologies to address business problems, collaborate with client stakeholders and be responsible for the delivery of business results to clients.
Infosys Consulting's Financial Services Practice is seeking experienced Product manager/owner with Wealth Management Industry experience to be hired at a Principal Level.
As a Principal Consultant, you will assist in the leadership and delivery of engagements. You will build on your experience designing and executing transformation programs. You will collaborate and interface with client stakeholders daily. You will also be involved in branding, thought leadership, and knowledge management efforts to provide value-adding consulting services that enable our clients to meet the global landscape's changing needs. You will anchor sales proposal preparation and engagement delivery efforts.
Here are some engagements our Wealth Management consultants are working on :
  • Conducting strategic assessments to define future state functional / technical architecture to meet strategic client objectives leveraging Design Thinking, Service Blueprinting approach.
  • Digitalization of Advisory Platforms covering end to end Advisory lifecycle from Prospecting to Portfolio Management
  • Machine Learning driven personalization - life events, investment ideas, service alerts and assessment of client attrition risk
  • Virtual Assistant - Cognitive Assistant Pilot (CAP) to guide Financial Advisors and Customer Support Associates in Salesforce.
  • Comprehensive portal to do a "Best Match" and find a Financial Advisor (Individual or Teams) by name, nearby location, gender and International Wealth FAs and teams
  • Smart App where a prospective client can start a bank relationship, find a Financial Advisor, provide discovery for goal-based planning, and schedule an appointment.
  • Social App for the Financial Advisor to create their social media profiles, provide complete user flows for Facebook Business Page Enrollment, LinkedIn Business Page Enrollment and Approver Review.
  • Intuitive Advisor Dashboard that provides an advisor full view of his/her book and action items
  • Reimage Operations Users Experience to create an Intelligent Ops dashboard (with KPIs, Real-time notifications, SLAs etc.) with direct access to ops systems
Responsibilities
  • Functional analysis / SME for specific journeys in Wealth and Trust industry. E.g.: Prospecting, Financial Planning, Portfolio Mgmt., Servicing, Trading, Onboarding, Advisor Dashboard
  • Collaborate cross-functionally with business partners including engineering, marketing, design, and sales to allow for the smooth and efficient flow of product activities.
  • Work closely with technical departments to ensure user needs are being met and resolve issues as they emerge and evolve.
  • Manage the product line life cycle from strategic planning to tactical initiatives for both vended and custom solutions.
  • Set product strategy and influence acceptance and adoption of that strategy with the end user's experience at the center of their decision making.
  • Specify the market requirements in relation to the business' product for both existing and future products based on market research realized through interactions with the clients, consumers, and prospective users.
  • You will also lead / contribute to sales pursuits, consulting offerings and internal initiatives to participate in a variety of Firm building events.
Basic Qualifications
  • Bachelor's degree or equivalent required
  • Prior work experience of 7+ years either in management consulting or directly working on advisory business, technology or operational change initiatives in Wealth Management & Trust industry.
  • Demonstrated ability in defining, mobilizing, and delivering complex change programs in Asset / Wealth Management firms.
  • Excellent presentation and facilitation skills with ability to build relationships at senior management and CXO levels
  • Experience of collaborating with teams, comprising both IT and business specialists.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
Preferred Qualifications / Skills
  • Strong knowledge of wealth management industry and business models across North America.
  • Ability to interact with Financial Advisors, operations, technology and practice leaders alike to understand business models, pain points, regulatory obligations and craft innovative solutions to drive value while balancing standardization.
  • Understanding of Advisory Solutions - Firm/Advisory/Client Discretionary Products, SMA, UMA, estate planning, trust services etc.
  • Prior experience working with Consulting firms and managing / executing programs in Wealth Management, will be preferred.
  • Experience working on industry leading managed account solutions / platforms.
  • Ability and willingness to work as part of a cross-cultural team including flexibility to support multiple time zones when necessary
General Information
Location: NY, NJ. Hybrid Working model with 2-3 days in-person depending on client policies.
Internal training & leadership programs complemented by industry recognized certifications for reskilling and upskilling
Formal counselor-counselee system aiding and driving well rounded career growth
Dedicated mentorship programs, driven by the firm's women leaders for select women consultants, to drive acclimatization and create future-ready leaders
Return to Work program to ensure smooth transition for career returners, help new parents, and improve work flexibility
Collaborative and open work environment for our consultants to share professional experiences and learn, and define their own success paths
This job description may not cover or contain a comprehensive listing of all activities, duties and responsibilities that are required of the employee.
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:-
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

About Us
Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset, deep industry knowledge, and the combined strengths of business and technology consulting, it helps enterprises turn bold vision into tangible outcomes, faster, smarter, and at scale.
Infosys Consulting is helping some of the world's most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today's digital landscape to win market share and create shareholder value for lasting competitive advantage.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.