Fashion Consultant ( Freshers Can Also Apply)

Company name: JPMorgan (JPMC)

Job Category:
 Predictive Science

Location: Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru

Job Schedule: 
Full time

JOB DESCRIPTION

JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity. 

As a senior ML and GenAI engineer, you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure. 

You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. 

 Job responsibilities 

• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions 

• Close partnership with peers in a geographically dispersed team and colleagues across organizational lines 

• Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities 

• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. 

• Deploy solutions into public cloud infrastructure 

• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact 

 Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• MS in Computer Science, Statistics, Mathematics or Machine Learning. 

• Development experience, along with hands-on Machine Learning Engineering 

• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions 

• Solid Python programming skills required; with other high-performance language such as Go a big plus 

• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. 

• Experience in using LLMs (OpenAI, Claude or other models) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus 

• Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) 

• Expertise in application, data, and infrastructure architecture disciplines 

• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. 

• Excellent communication skills and ability to communicate with senior technical and business partners 

 Preferred qualifications, capabilities, and skills

• Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. 

• Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn 

• Understanding of finance or wealth management businesses is an added advantage 

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Prishusoft is looking for a seasoned International Business Development Executive with strong exposure to the IT services domain. This role is ideal for a strategic thinker who excels at global client acquisition, relationship building, and driving long-term revenue growth. The position involves working closely with internal technical and delivery teams to craft customized IT solutions aligned with client goals across international markets.

Position Details

• Profile: Business Development Executive 
• Experience: 4 to 9 Years
• Level: Senior / Managerial
• Market Focus: International (Global Clients)
• Industry: IT Services & Consulting
• Employment Type: Full-Time, Permanent
• Work Mode: Work From Office
• Location: Ahmedabad, Gujarat
• Compensation: Market-aligned (based on experience and interview performance)

Key Responsibilities

• Identify, approach, and onboard international clients, converting prospects into long-term business partners.
• Manage end-to-end sales cycles independently, from lead generation to deal closure.
• Schedule and conduct client discussions, discovery calls, demos, and business presentations.
• Work closely with technical, pre-sales, and delivery teams to ensure accurate requirement understanding and timely solution delivery.
• Generate and nurture leads through multiple channels such as email outreach, calls, LinkedIn, and professional networks.
• Collaborate with marketing and pre-sales teams to qualify, pursue, and close global opportunities.
• Strengthen client relationships to drive repeat business, cross-selling, and upselling opportunities.
• Prepare, review, and refine proposals, sales presentations, and business documentation.
• Track and report sales performance, pipeline status, and forecasting to senior management.
• Conduct international market research to identify new technologies, service demands, and emerging business opportunities.
• Collect and analyze client feedback to improve service offerings and customer satisfaction.
• Stay informed about industry trends, competitor movements, and evolving client expectations.

Required Qualifications & Experience

• Bachelor’s degree in Business Administration, Marketing, IT, Computer Science, Engineering, or a related discipline.
• 5 to 9 years of hands-on experience in business development within IT service-based organizations.
• Proven ability to manage international clients and global sales engagements independently.
• Strong verbal and written communication skills with a professional, consultative approach.
• Experience with international IT sales is highly preferred.
• Practical exposure to CRM and sales platforms such as LinkedIn Sales Navigator, HubSpot, Zoho, Salesforce, or similar tools.
• Excellent organizational, time-management, and multitasking abilities in a fast-paced environment.
• Proactive, adaptable, and resilient mindset with a strong customer-first attitude.
• Preference for immediate joiners and candidates based in Gujarat.

Education

• Undergraduate: BBA / BMS (Management), B.Tech / B.E., or any relevant graduate degree
• Postgraduate: MBA / PGDM (Marketing), MCA, or equivalent qualification

Personal Assistant-Manesar, Haryana

Responsibilities:

1. Coordinate and manage the managing director’s schedule, including meetings, appointments,

and travel arrangements.

2. EXCELLENT FOLLOW UP SKILLS.

3. Manage and prioritize incoming communications, including emails, phone calls, and mail.

4. Organize and coordinate meetings and work, conferences, and events, both internally and

externally.

5. Prepare meeting agendas, materials, and follow-up on action items.

6. Track and manage expenses, ensuring accurate and timely submission of expense reports.

7. Collaborate with other administrative staff to ensure seamless office operations.

4. Ability to take notes, Strong communication skills, both written and verbal.

5. Flexibility to adapt to changing priorities and work in a fast-paced environment

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

Responsibilities:

●       Studying, transforming, and converting data science prototypes

●       Deploying models to production

●       Training and retraining models as needed

●       Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores

●       Analyzing the errors of the model and designing strategies to overcome them

●       Identifying differences in data distribution that could affect model performance in real-world situations

●       Performing statistical analysis and using results to improve models

●       Supervising the data acquisition process if more data is needed

●       Defining data augmentation pipelines

●       Defining the pre-processing or feature engineering to be done on a given dataset

●       To extend and enrich existing ML frameworks and libraries

●       Understanding when the findings can be applied to business decisions

●       Documenting machine learning processes

Basic requirements: 

●       4+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production

●       Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas

●       Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc

●       Experience in working with ML frameworks like TensorFlow, Keras, OpenCV

●       Strong written and verbal communications

●       Excellent interpersonal and collaboration skills.

●       Expertise in visualizing and manipulating big datasets

●       Familiarity with Linux

●       Ability to select hardware to run an ML model with the required latency

●       Robust data modelling and data architecture skills.

●       Advanced degree in Computer Science/Math/Statistics or a related discipline.

●       Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)

Nice to have

●       Familiarity with Java, and R code writing.

●       Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

●       Verifying data quality, and/or ensuring it via data cleaning

●       Supervising the data acquisition process if more data is needed

●       Finding available datasets online that could be used for training

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

• • At least 3 to 5 years of experience in .Net.
  • The candidate should be a system thinker.
  • Strong knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3.
  • Enjoy Event-Driven Design Patterns and Event Sourcing.
  • Familiar with Document Store Databases (like Cosmos DB / Mongo DB).
  • Knowledge in Modular Architecture and Microservices.
  • Comfortable leading large technical projects.
  • Knowledge of any cloud services AWS, Azure, Google Cloud.
  • Good understanding of ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC)).
  • Experience with architecture styles/APIs (REST, RPC).
  • Understanding of Agile methodologies.
  • Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline).

• Bachelor’s Degree in Computer Science or Information Technology
  
  

• Excellent writing skills
• Proficient in Web use, Outlook and Microsoft Office
• Travel as needed

Job Description :

1. 3+ years of professional experience working with React Native

2. Familiarity with TypeScript and JavaScript Ecosystems and tooling.

3. Experience working on large, complex systems.

4. Understanding of React Native best practices

5. Ability to create and maintain continuous integration and delivery of React Native applications

6. Knowledge of Integrating with third-party API's

7. Write unit and integration tests

8. Release applications to the Apple and Google Play stores

9. Work with native modules when required & follow the process using Source control.

10. Implement pixel perfect UI's that match the provided designs

11. Architect, build and maintain excellent React Native applications with clean code and best practices

Openings: 2

Experience :

- 3 to 4 years

- 4 to 5 years