Machine Learning Engineer

Role & Responsibilities

Minimum required Accountabilities for this role-

• Conduct in-depth moderated and unmoderated user interviews using psychological frameworks (e.g., Prospect Theory, Cognitive Dissonance, System 1 & 2) to uncover latent motivations, emotional drivers, and behavioral barriers.
• Design, deploy, and analyze quantitative research studies (surveys, questionnaires, experiments) grounded in validated psychological models such as Theory of Planned Behavior (TPB), Big Five Personality Traits, and Self-Determination Theory.
• Synthesize qualitative and quantitative data into actionable insights by identifying underlying cognitive and behavioral patterns (e.g., loss aversion, anchoring bias, trust erosion).
• Translate research findings into structured outputs such as personas, mental models, journey maps, and behavioral frameworks that predict user behavior.
• Test UI/UX prototypes through usability and concept validation studies using tools like Figma, Maze, and UserTesting, leveraging models such as Fogg’s Behavior Model.
• Own end-to-end research execution including study design, participant recruitment, psychometric segmentation, data analysis, and insight storytelling.

Additional Accountabilities pertaining to the role-

• Partner closely with design, product, and business teams to convert behavioral insights into bias-aware recommendations, nudges, and experience improvements.
• Monitor fintech and behavioral science trends (e.g., hyperbolic discounting, decision fatigue) through diary studies, ethnographic research, and secondary analysis.
• Support business KPIs such as conversion, engagement, retention, and trust through evidence-backed research inputs.
• Contribute to the development of internal research standards, methodologies, and best practices.

Ideal Candidate

• Strong Behavioral Research / Behavioral Insights / Consumer Behavior Research Profiles
• Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior
• Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research
• Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements
• Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation
• Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology
• Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness
• Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams
• Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role
• Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)
• Candidates from institutes with strong behavioral research exposure are preferred
• Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms
• Mandatory (Note):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights
• Preferred (Skills): Exposure to behavioral experimentation, usability testing, journey analysis, or consumer psychology frameworks used to improve digital product experience
• Preferred (Gender) : Female candidates are highly preferred

JD as below

Business Analyst – Job Description

1.    Requirement gathering, Development, Requirement Analysis and documentation, Requirement communication, Requirement management and Testing. Work closely with the Business teams in gathering requirements, and getting it implemented in the system.

2.    Designing and developing functional test cases, impact analysis, system integration testing and regression testing. Conducting UAT and documentation of test cases.

3.    Support and assists with end user training and coordinates the implementation of these services for the Business.

4.    Based on Testing Feedback from Business Users, plan go live dates for the developments.

5.    Work with various user and support teams to manage technical/operational issues.

6.    Raise the bugs and CRs to tech team and track till closure.

7.    Produce periodic and ad-hoc reports for all stakeholders including leadership to monitor and ensure that projects comply with the governance framework.

8.    Work closely with the vendor in getting the development completed on time and ensure adherence to quality standards.

9.    Ability to multitask and work in a high pressure environment.

10.  Excellent analytical, communication, presentation & interpersonal skills.

11.  Ability to resolve customer/business issues and run the application management activities.

12.  Willingness to go the extra mile to resolve customer/technical issues.

🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Responsibilities:

.Create exclusive distributors, super stockiest & business associates and guide, and coordinate them to achieve the target for the company towards the business growth.

.Make a strategic marketing plan for the sales team working under his jurisdiction.

.Observe all the stock reports, inventory, product orders, re-order etc.

Requirements:

.Bachelor's degree in business, marketing or a related field.

.Experience in sales, marketing or related field.

.Strong communication skills and excellent organizational skills.

.Proficient in Word, Excel, Outlook, and Powerpoint.

Dear Aspirants,

We are Looking for professionals who have an analytical perspective, have worked on enterprise-level projects, and always seek to exceed customer expectations.

In case, you find the company profile and JD matching your aspirations and your profile matches the required Skill and qualifications criteria, please apply here with the response to questions.

We shall reach you back for scheduling the interviews post this.

About the Company :

Driven by a Passion for Excellence :

Acidaes Solutions Pvt. Ltd. is a fast-growing specialist Customer Relationship Management (CRM) product IT company providing ultra-scalable CRM solutions. It offers CRMNEXT, our flagship and award-winning CRM platform to leading enterprises both on cloud as well as on-premise models. We consistently focus on using the state of art technology solutions to provide leading product capabilities to our customers.

CRMNEXT is a global cloud CRM solution provider credited with the world's largest installation ever. From Fortune 500 to start-ups, businesses across nine verticals have built profitable customer relationships via CRMNEXT. A pioneer of Digital CRM for some of the largest enterprises across Asia-Pacific, CRMNEXT's customers include global brands like Pfizer, HDFC Bank, ICICI Bank, Axis Bank, Tata AIA, Reliance, National Bank of Oman, Pavers England etc. It was recently lauded in the Gartner Magic Quadrant 2015 for Lead management, Sales Force Automation and Customer Engagement. For more information, visit us at www.crmnext.com

Educational Qualification :

- B.E./B.Tech /M.E./ M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory)

- 60% in Xth, XIIth /diploma, B.E./B.Tech/M.E/M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory)

- All education should be regular (Please Note - Degrees through Distance learning/correspondence will not consider)

Exp level - 1 to 5 yrs

Location - Andheri (Mumbai)

Technical expertise required :

1. a) Meeting clients to understand their CRM and process requirements.
2. b) Work as a team member for system requirements definition process and system setup during implementation.
3. c) Re-engineer business processes to ensure accurate CRM roll-out.
4. d) Creating and managing the project schedule, participating in performance standards discussions.
5. e) Translating client requirements into system configuration and custom developments and prepares an achievable delivery schedule.
6. f) Coordinating with departments to ensure delivery.

Desired Proficiency :

1. a) Excellent verbal and written communication, problem-solving, and analytical skill.
2. b) Ability to deliver on timeliness
3. c) Excellent customer facing skills
4. d) Appreciation of Business Issues
5. e) Strong Technical background.
6. f) Experience in BFSI and CRM domain is preferred.
7. g) Exposure to Microsoft .NET framework and databases is a plus.

If this role sounds exciting to you and fulfills your future goals, then we would love to hear from you.

Regards,

Deepak Sharma

Human Resources

This is a temporary full time role.

Responsibilities

• Developing the latest user-facing features using React.js
• Designing a modern highly responsive web-based user interface
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Learn and understand user interactions
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers
• As a React.js Developer, you will be involved from conception to completion with projects that are technologically sound and aesthetically impressive.

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Prior experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with more current specifications of EcmaScript
• Familiarity with RESTful APIs
• Familiarity with HTML / CSS
• GIT experience is a plus
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with code versioning tools