Customer Obsession Manager

Job Title: AI Engineer

Location: Bangalore, India

About Us:

Meraki Labs stands at the forefront of India's deep-tech innovation landscape, operating as a dynamic venture studio established by the visionary entrepreneur Mukesh Bansal. Our core mission revolves around the creation and rapid scaling of AI-first and truly "moonshot" startups, nurturing them from their nascent stages into industry leaders. We achieve this through an intensive, hands-on partnership model, working side-by-side with exceptional founders who possess both groundbreaking ideas and the drive to execute them.

Currently, Meraki Labs is channeling its significant expertise and resources into a particularly ambitious endeavor: a groundbreaking EdTech platform. This initiative is poised to revolutionize the field of education by democratizing access to world-class STEM learning for students globally. Our immediate focus is on fundamentally redefining how physics is taught and experienced, moving beyond traditional methodologies to deliver an immersive, intuitive, and highly effective learning journey that transcends geographical and socioeconomic barriers. Through this platform, we aim to inspire a new generation of scientists, engineers, and innovators, ensuring that cutting-edge educational resources are within reach of every aspiring learner, everywhere.

Role Overview:

As an AI Engineer on the Capacity team, you will design, build, and deploy the intelligent systems that power our AI Tutor and Simulation Lab.

You’ll collaborate closely with prompt engineers, product managers, and full-stack developers to build scalable AI features that connect language, reasoning, and real-world learning. This is not a traditional ML ops role,  it’s an opportunity to engineer how intelligence flows across the product: from tutoring interactions to real-time physics reasoning.

Your Core Impact

• Build the AI backbone that drives real-time tutoring, contextual reasoning, and simulation feedback.
• Translate learning logic and educational goals into deployable, scalable AI systems.
• Enable the AI Tutor to think, reason, and respond based on structured academic material and live learner inputs.

Key Responsibilities:

1. AI System Architecture & Development

• Design and develop scalable AI systems that enable chat-based tutoring, concept explainability, and interactive problem solving.
• Implement and maintain model-serving APIs, vector databases, and context pipelines to connect content, learners, and the tutor interface.
• Contribute to the design of the AI reasoning layer that interprets simulation outputs and translates them into learner-friendly explanations.

2. Simulation Lab Intelligence

• Work with the ML team to integrate LLMs with the Simulation Lab; enabling the system to read experiment variables, predict outcomes, and explain results dynamically.
• Create evaluation loops that compare student actions against expected results and generate personalized feedback through the tutor.
• Support the underlying ML logic for physics-based prediction and real-time data flow between lab modules and the tutor layer.

3. Model Integration & Optimization

• Fine-tune, evaluate, and deploy LLMs or smaller domain models that serve specific platform functions.
• Design retrieval and grounding workflows so that all model outputs reference the correct textbook or course material.
• Optimize performance, latency, and scalability for high-traffic, interactive learning environments.

4. Collaboration & Research

• Partner with Prompt Engineers to ensure reasoning consistency across tutoring and simulations.
• Work with Product and Education teams to define use cases that align AI behavior with learning goals.
• Stay updated with new model capabilities and research advancements in RAG, tool use, and multi-modal learning systems.

5. Data & Infrastructure

• Maintain robust data pipelines for model inputs (textbooks, transcripts, lab data) and evaluation sets.
• Ensure privacy-safe data handling and continuous model performance tracking.
• Deploy and monitor AI workloads using cloud platforms (AWS, GCP, or Azure).etc.

Soft Skills:

• Strong problem-solving and analytical abilities.
• Eagerness to learn, innovate and deliver impactful results.
• 
  

Required Qualifications & Skills

• 3–4 years of experience in AI engineering, ML integration, or backend systems for AI-driven products.
• Strong proficiency in Python, with experience in frameworks like FastAPI, Flask, or LangChain.
• Familiarity with LLMs, embeddings, RAG systems, and vector databases (Pinecone, FAISS, Chroma, etc.).
• Experience building APIs and integrating with frontend components.
• Working knowledge of cloud platforms (AWS, GCP, Azure) and model deployment environments.
• Understanding of data structures, algorithms, and OOP principles.

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories

Sr Salesforce Lightning developer

Requirements:

• 8+ years of professional software development experience in Salesforce
• Minimum 3 years of experience working on Service cloud
• Worked on Service cloud, developing in Salesforce ecosystem consisting of Apex, Visualforce, Custom Objects, Workflows, Triggers, Jobs, etc.
• Hands-on experience on Salesforce lightning framework - Mandatory
• Salesforce certified developer certification is needed for this role
• Minimum 2 years into LWC

Nice to have :

• Understanding of modern UI technologies and frameworks like AngularJS, React, AJAX, Bootstrap

• Manage and Develop the Digital Performance Channels
• Ownership of Top-line building channels like Google Shopping, Google Remarketing, Third Parties for Remarketing
• Continuously chase ambitious targets of ROAS while maintaining min Top Line thresholds
• Build effective journeys of remarketing to reduce the overlaps and shorten the touchpoints to convert
• Exploration of new channels to drive Performance Marketing
• Be an actor of your channel ecosystem
• Owner mindset, willingness to take initiatives, and accountability to drive closures
• Be the key contact window between Users and the technical team
• Challenge the needs and demonstrate managerial courage towards users satisfaction
• Develop, through your posture, a collaborative working methodology, an environment of trust and responsibility among the product team

AN IDEAL CANDIDATE WILL HAVE

• Passion for sport, you like to enjoy the sport with your teammates
• You have an entrepreneurial mindset, a strong sense of responsibility, autonomy, and drive for results
• Recognized capacity to understand business needs, bring structure in a complex environment, and lead action plans
• Strong data analysis skills, ability to perform data analysis and make data-driven decisions
• You are a technology enthusiast; you care about how things work, and you can successfully collaborate with technical experts
• You are well versed with Google Shopping and Remarketing as a subject
• A prior experience in performance marketing/e-commerce is required.

EXPERIENCE

• 3-12 years of experience in the digital eco-system
• Prior experience in performance marketing agencies is a plus
• A Masters degree in marketing is a plus

About the Role

In this role, you'll work on design, implementation, and test for Dremio's system internals. If you want to be part of a fast-moving, fun, and accomplished team, we'd love to hear from you.

Responsibilities & ownership

• Own design, implementation, testing, and support of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product.
• Capable of working Individually and collaboratively with other engineers.
• Collaborate with support and field resources to make sure that customers are successful with Dremio

Requirements

• Fluency in Java and/or C++ with 3 to 5+ years of experience developing production level software
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous patterns and their applications towards developing scalable systems
• Experience developing scalable distributed systems and deploying, scaling, and managing microservices
• Experience with  containers and kubernetes for orchestration and container management in private and public clouds (AWS, Azure, Google Cloud) a plus
• Excellent communication skills and affinity for collaboration and teamwork
• Interested in and motivated to be  part of a fast-moving startup with a fun and accomplished team
• Startup experience a plus
• B.S. or M.S in Computer Science or a related technical field or equivalent practical experience

Manager- Talent Acquisition

Who we are?

At Edge, we believe simplifying employee data will help large corporates solve sub-optimal talent management problems. This data is more critical after the pandemic, as managing a remote workforce has shifted from optional to essential.

We have spent our last eight years understanding the workforce from the IT and BFSI industries. We have used this employee data to create a sophisticated intelligence. This brain behind our AI-based products is called EdGE graph™. We have used 11 million job descriptions and more than 30 million profiles to build the graph.

Our products like Pathfinder, Recruit and Mobility are deployed in IT companies like Wipro, HCL, UST Global, etc. and help them upskill, invest, and maintain their existing people. It has helped organisations improve their workforce availability, billing, allocations and drive straight bottom-line impacts. The new order of talent decisions helps us define, identify, and plan for a future-ready workforce.

We build end-to-end talent management products for organisations so that they have a 360-degree view of their talent supply chain. This helps them make informed talent decisions efficiently and build an intelligent workforce.

We built Edge Networks in 2012 in an apartment in Bangalore and soon, were supported by the National Skill Development Corporation of India (NSDC). We are a part of the NASSCOM Product Council and have been recognized by Gartner, Deloitte, Equidam, NVIDIA, Amazon as an innovative tech HR startup in various titles.

At Edge, we understand that modern companies that put the employees at the center of their workings, backed with data, will make their organisation productive. This is how we, at Edge, use tech for good.

Role:

As a Manager -Talent Acquisition you will be responsible to take care of all the recruitment related activities for the organization both Tech and non- tech. You will also be responsible to drive the entire function independently and manage stakeholders as well. Work very closely with the HRBP to manage risk and work on succession planning. You will be the first point of contact for the probable candidates for the organization and drive the company’s brand value. 

Traits that you have

A team player – I know we only win if we all win. I recognise and value the different perspectives and skills my squad mates bring. It is not about being a hero but jumping in and contributing to the successful delivery of our mission.

An excellent communicator – I know and understand the importance of clear, on-time communication. My spoken and written communication skills stand out for clarity and conciseness.  

A collaboration champion – I work closely with my colleagues to ensure alignment and champion the sharing of learning across teams.

Comfortable being uncomfortable – I am comfortable with uncertainty. I have the ability to effectively manage myself through ambiguity by making meaning, building relationships and creating clarity with my peers.

Continuous improvement junkie – I constructively challenge the status quo, I look for better ways of doing things and passionately advocate continuous improvement.

Committed to my own and others’ growth – I strive to stretch and grow myself and others by identifying my own development areas, seeking feedback, and providing feedback to others to help them learn and grow every day.

A problem solver – I am energised by tackling complex problems. I use my critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers and the product.

Commercially and Tech curious – I have a wide-angle lens. I am curious about what is happening in the external market and in emerging trends and innovations (technological and otherwise) and how we use this information to better inform our decisions and actions.

Risk savvy – I build sustainable solutions that protect stakeholders and customers and proactively address risks by role-modelling improvements in the product’s overall risk and control environment.

Responsibilities:

• Responsible for taking care of end-end recruitment process across the organization which will include tech and non-tech roles across all job levels till on-boarding.
• Work very closely with the stakeholders to understand their requirements and work consultatively giving suggestions on market availability of talent, market dynamics, salary ranges and competitive salary packages.
• Maintain HR metrics like – Cost per hire, Quality of hire etc
• Create a continuous pipeline of candidates with passive job seekers to maintain a relevant talent pool.

Role Skills:

• 5+ years of experience in Talent acquisition with relevant industry hiring.
• Should have worked and scaled teams in startups.
• Subject matter expert in defining the roles for different line of businesses
• Independently managed stakeholders and worked closely on the hiring needs
• Excellent communication skills
• Hands on excel skills to build dashboards and excel reports.
• Bachelor’s/ Master’s degree in computer science or related streams is preferable.