Automation Test Engineer

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.

Job Title: Senior Devops Engineer (Full-time)

Location: Mumbai, Onsite

Experience Required: 5+ Years

Required Qualifications

● Experience:

○ 5+ years of hands-on experience as a DevOps Engineer or similar role, with

proven expertise in building and customizing Helm charts from scratch (not just

using pre-existing ones).

○ Demonstrated ability to design and whiteboard DevOps pipelines, including

CI/CD workflows for microservices applications.

○ Experience packaging and deploying applications with stateful dependencies

(e.g., databases, persistent storage) in varied environments: on-prem (air-gapped

and non-air-gapped), single-tenant cloud, multi-tenant cloud, and developer trials.

○ Proficiency in managing deployments in Kubernetes clusters, including offline

installations, upgrades via Helm, and adaptations for client restrictions (e.g., no

additional tools or VMs).

○ Track record of handling client interactions, such as asking probing questions

about infrastructure (e.g., OS versions, storage solutions, network restrictions)

and explaining technical concepts clearly.

● Technical Skills:

○ Strong knowledge of Helm syntax and functionalities (e.g., Go templating, hooks,

subcharts, dependency management).

○ Expertise in containerization with Docker, including image management

(save/load, registries like Harbor or ECR).

○ Familiarity with CI/CD tools such as Jenkins, ArgoCD, GitHub Actions, and

GitOps for automated and manual deployments.

○ Understanding of storage solutions for on-prem and cloud, including object/file

storage (e.g., MinIO, Ceph, NFS, cloud-native like S3/EBS).

○ In-depth knowledge of Kubernetes concepts: StatefulSets, PersistentVolumes,

namespaces, HPA, liveness/readiness probes, network policies, and RBAC.

○ Solid grasp of cloud networking: VPCs (definition, boundaries, virtualization via

SDN, differences from private clouds), bare metal vs. virtual machines

(advantages like resource efficiency, flexibility, and scalability).

○ Ability to work in air-gapped environments, preparing offline artifacts and

ensuring self-contained deployment

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots, and develops agentic AI solutions for companies across industries including energy and utilities.

Through Moative Labs, we aspire to build AI-led products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League alumni, ex-Googlers, and successful entrepreneurs.

Business Context

Moative is looking for a Data Science Project Manager to lead a long-term engagement for a Houston-based utilities company. As part of this engagement, we will develop advanced AI/ML models for load forecasting, energy pricing, trading strategies, and related areas.

We have a high-performing team of data scientists and ML engineers based in Chennai, India, along with an on-site project manager in Houston, TX.

Work You’ll Do

As a Data Science Project Manager, you’ll wear two hats. On one hand, you’ll act as a project manager — engaging with clients, understanding business priorities, and discussing solution or algorithm approaches. You will coordinate with the on-site project manager to manage timelines and ensure quality delivery. You’ll also handle client communication, setting expectations, gathering feedback, and keeping the engagement in good health.

On the other hand, you’ll act as a senior data scientist — overseeing junior data scientists and analysts, guiding the offshore team on data science, engineering, and business challenges, and providing expertise in statistical and mathematical concepts, algorithms, and model development.

The ideal candidate has a strong background in statistics, machine learning, and programming, along with business acumen and project management skills.

Responsibilities

• Client Engagement: Act as the primary point of contact for clients on data science requirements. Support the on-site PM in managing client needs and build strong stakeholder relationships.
• Project Coordination: Lead the offshore team, ensure alignment on project goals, and work with clients to define scope and deliverables.
• Team Management: Supervise the offshore AI/ML team, ensure milestones are met, and provide domain/technical guidance.
• Data Science Leadership: Mentor teams, create frameworks for scalable solutions, and drive adoption of best practices in AI/ML lifecycle.
• Quality Assurance: Work with the offshore PM to implement QA processes that ensure accuracy and reliability.
• Risk Management: Identify risks and develop mitigation strategies.
• Stakeholder Communication: Provide regular updates on progress, challenges, and achievements.

Who You Are

You are a Project Manager passionate about delivering high-quality, data-driven solutions through robust project management practices. You have experience managing data-heavy projects in an onsite-offshore model with significant client engagement. You also bring some hands-on experience in data science and analytics, preferably in energy/utilities or financial risk/trading. You thrive in ambiguity, take initiative, and can confidently defend your decisions.

Requirements & Skills

• 8+ years of experience applying data science methods to real-world data, ideally in Energy & Utilities or financial risk/commodities trading.
• 3+ years of experience leading data science teams delivering AI/ML solutions.
• Deep familiarity with a range of methods and algorithms: time-series analysis, regression, experimental design, optimization, etc.
• Strong understanding of ML algorithms, including deep learning, neural networks, NLP, and more.
• Proficient in cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and MLOps platforms (MLflow, etc.).
• Broad understanding of data structures, data engineering, and architectures.
• Strong interpersonal skills: result-oriented, proactive, and capable of handling multiple projects.
• Ability to collaborate effectively, take accountability, and stay composed under stress.
• Excellent verbal and written communication skills for both technical and non-technical stakeholders.
• Proven ability to identify and resolve issues quickly and efficiently.

Working at Moative

Moative is a young company, but we believe in thinking long-term while acting with urgency. Our ethos is rooted in innovation, efficiency, and high-quality outcomes. We believe the future of work is AI-augmented and boundaryless.

Guiding Principles

• Think in decades. Act in hours. Decisions for the long-term, execution in hours/days.
• Own the canvas. Fix or improve anything not done right, regardless of who did it.
• Use data or don’t. Avoid political “cover-my-back” use of data; balance intuition with data-driven approaches.
• Avoid work about work. Keep processes lean; meetings should be rare and purposeful.
• High revenue per person. Default to automation, multi-skilling, and high-quality output instead of unnecessary hiring.

Additional Details

The position is based out of Chennai and involves significant in-person collaboration. Applicants should demonstrate being in the 90th percentile or above, whether through top institutions, awards/accolades, or consistent outstanding performance.

If this role excites you, we encourage you to apply — even if you don’t check every box.

We are seeking a Social Media Manager to develop and execute social media strategies that enhance brand visibility, engagement, and growth. The ideal candidate will have a deep understanding of social media platforms, content creation, analytics, and audience engagement. You will be responsible for crafting compelling content, managing social media accounts, and driving community growth.

Key Responsibilities:

• Develop and implement social media strategies to increase brand awareness and engagement.
• Manage and maintain social media accounts (Instagram, Facebook, LinkedIn, Twitter, TikTok, etc.).
• Create and schedule engaging content, including posts, videos, and graphics.
• Monitor social media trends, competitor activities, and audience preferences.
• Respond to comments, messages, and interactions to foster community engagement.
• Collaborate with designers, content creators, and marketing teams to produce high-quality content.
• Analyze performance metrics using tools like Meta Business Suite, Google Analytics, and other social media analytics tools.
• Run paid social media campaigns and optimize them for reach and conversion.
• Stay updated with the latest social media trends, algorithm changes, and best practices.
• Develop reports and insights to improve social media strategies.

Game designers create the concepts and worlds of video games. They are involved with the design of the environment, story, characters, objectives and user experience of video games. 

Role and Responsibilities

They may be expected to deliver the following:

• Design and develop the original concept
• Construct level structure
• Storyboard the action of the game
• Conceive every element of the game including rules, setting, objects, vehicles, weapons, flora, fauna, etc, 
• Define user interface, menus and controls
• Generate the Game Design Document (GDD)
• Develop early prototypes
• Decide on the devices and platforms on which the game is played 
• Define the user experience 
• Work with programmers to design the back end of the game
• Research target audience to understand what they want in the game
• Lead the development process
• Produce sound effects, dialogue, musical score, sound mix and sound edit
• Manage quality assurance testing, and follow up on feedback
• Oversee the marketing and distribution roll-out
• Ongoing development and versions of the game

Game Designers should have a solid knowledge of 3D animation, illustration And programming languages.

Job description :

We are looking to hire a talented iOS developer to design, build, and maintain the next generation of iOS applications.

Responsibilities :

• Designing and building mobile applications for Apple’s iOS platform.
• Collaborating with the design team to define app features.
• Ensuring quality and performance of the application to specifications.
• Identifying potential problems and resolving application bottlenecks.
• Fixing application bugs before the final release.
• Publishing application on App Store.
• Maintaining the code and atomization of the application.
• Designing and implementing application updates.

Skills :

• Proven experience as an app developer.
• Proficient in Objective-C, Swift, and Cocoa Touch.
• Extensive experience with iOS Frameworks such as Core Data and Core Animation.
• Knowledge of iOS back-end services.
• Knowledge of Apple’s design principles and application interface guidelines.
• Proficient in code versioning tools including Mercurial, Git, and SVN.
• Knowledge of C-based libraries.
• Familiarity with push notifications, APIs, and cloud messaging.
• Experience with continuous integration.

Job type : Full time

Schedule : Day shift

Education : Graduation (Required)

Experience : 2 Years (Required)

Perks:

• 5 days Working & Alternate Saturday half day
• Salary no bar for right candidates
• Monthly Celebration
• Excellent Work Environment
• Supportive Staff

Work Remotely: No

Location : Surat, Gujarat.

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.

Minimum 5+ years in react

Must have worked on desktop application

Must have worked in frontend and backend both

5+ years of experience with React js, work closely with design, product management, and development teams to create elegant, usable, responsive, and interactive interfaces across multiple devices; experience with Electron js framework is a plus.

Community Management-

• Create a friendly environment to facilitate high member satisfaction
• Be thoughtful while interacting with members.
• Plan and launch community initiatives to create connections between members of different organizations. This might include targeted member introductions, recommending possible mentor matches, running networking events and managing communications within the space and through digital vehicles.
• Seek out information about the business and personal objectives of tenant organizations and their individual members.
• Foster a sense of inclusivity where fresh ideas are welcome
• Be knowledgeable about COWERKZ's membership contracts and guidelines.Explain these policies to members, as necessary.
• Oversee new member onboarding and member moves out of the space

Events Planning and Execution-

• Build a quarterly calendar of coworking events that engages all stakeholders:
• Current members: Educational (e.g., lunch and learns) and appreciation events (e.g., happy hours and themed parties)
• Future members: Lead generation and sales-related events
• Local community: Identify outside organizers and encourage them to use our event space. Depending on the exact nature, these events should also be used to build COWERKZ's CRM and digital community. 
• Manage to the allotted budget
• Present our community professionally
• With your team, oversee the event itself, from catering to a smooth event check-in process to cleanup

Business Development-

• With the owners, be responsible for setting and achieving sales objectives, occupancy rates and pricing
• Conduct tours for prospective members
• Contact the local press and community leaders to generate interest in COWERKZ.
• Maintain a positive relationship with key vendors and our landlord

Facilities and Space Management-

• Manage all centre operations to the satisfaction of members
• Maximize up-time and availability of key facilities assets like the Wifi network, kitchen, printers/copiers
• Keep members aware of facilities issues that may impact them
• Utilize a variety of coworking software applications manage the space and membership
• Make recommendations to the owners about new features or perks that will entice members
• Submit maintenance tickets for repairs to the facility and key equipment
• Ensure cleaning is conducted to spec

Data accuracy-

• Ensuring member data is updated and is current in the cowork platform
• Ensuring lead data is updated in the CRM platform
• Ensuring Community Data is being updated in the events database

Experience and Requirements

• 2 years experience with increasing responsibility in either a sales or customer service role
• Experience in co -curricular activities a plus.
• Demonstrated project management skills
• Technically capable. Able to understand and work with the variety of hardware and software applications that our space depends on.
• Experience with written content generation in a business environment and basic graphic design skills are a plus
• Interest in working independently with only occasional interactions with the owners
• Fluent in English. Ability to speak additional language is a plus.
• A high level ethics, empathy and dependability

Qualifications

• Bachelor's degree or equivalent