Lead Data Analyst

Hi ,

Title                            : Senior AI/ML Engineer

Experience                 : 5 – 10+ Yrs

Location                     : Bengaluru

Work Type                : Hybrid – 2 days Work from office

Type of hire               : PwD & Non-PwD Inclusive Hiring

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Workdays                   : Mon - Fri

Role Overview

We are seeking an exceptional AI Engineer who can design and build production-grade AI systems that combine advanced machine learning, Generative AI, and scalable software engineering.

This role goes beyond traditional data science and focuses on building end-to-end AI platforms, autonomous AI agents, intelligent decision systems, and enterprise AI applications.

You will work on real-world enterprise problems across industries, developing AI systems that automate reasoning, prediction, and decision-making at scale.

What You Will Build

Examples of systems you may work on:

• AI Copilots for enterprise workflows

• Autonomous AI agents for automation

• Decision intelligence platforms

• Retrieval-Augmented Generation (RAG) systems

• Predictive ML systems for forecasting and anomaly detection

• AI-powered knowledge assistants

• Intelligent automation platforms

Key Responsibilities

1. Advanced Machine Learning & Predictive Systems

Design and implement ML models including:

• Time series forecasting

• Predictive modeling

• Anomaly detection

• Recommendation systems

• NLP / text intelligence

• Deep learning models

Develop models using:

• PyTorch

• TensorFlow

• Scikit-learn

• XGBoost / LightGBM

2. Generative AI & LLM Systems

Build enterprise-grade GenAI applications including:

• AI copilots

• conversational agents

• document intelligence systems

• enterprise knowledge assistants

Develop LLM systems using:

• OpenAI / Claude / Gemini / Llama

• prompt engineering techniques

• embeddings and semantic search

• RAG architectures

3. Agentic AI Systems

Design autonomous AI systems capable of reasoning and executing tasks.

Build multi-agent architectures using:

• LangGraph

• CrewAI

• AutoGen

• Semantic Kernel

Integrate agents with:

• APIs

• enterprise data systems

• internal workflows

4. AI Platform Engineering

Develop scalable AI services and applications using:

• Python

• FastAPI / Flask

• asynchronous processing

• distributed compute frameworks

Build production-grade APIs and AI services.

5. Enterprise AI Deployment & MLOps

Deploy AI models into scalable production environments.

Work with:

• Docker

• Kubernetes

• CI/CD pipelines

• MLflow / experiment tracking

• model monitoring and drift detection

Deploy AI solutions on:

• Azure

• AWS

• GCP

6. Data Integration & AI Systems

Work with enterprise data sources including:

• relational databases

• data warehouses (Snowflake, Redshift, BigQuery)

• data lakes (S3 / Azure Data Lake)

• vector databases (Pinecone, Weaviate, FAISS)

Required Skills:

Programming

Expert-level proficiency in:

• Python

• software engineering best practices

• data structures and algorithms

Experience building production-ready systems.

Machine Learning

Strong expertise in:

• supervised learning

• unsupervised learning

• deep learning

• time-series modelling

• model evaluation and optimization

Generative AI

Experience working with:

• LLM APIs

• prompt engineering

• RAG pipelines

• embeddings and vector search

AI Architecture

Ability to design:

• scalable AI systems

• distributed ML systems

• intelligent automation platforms

Preferred Experience

• Building enterprise AI products

• Developing AI copilots or agents

• Designing decision intelligence platforms

• Experience with large-scale data systems

Ideal Candidate Profile

The ideal candidate is:

• A strong ML engineer AND software engineer

• Comfortable building AI systems end-to-end

• Experienced in deploying models to production

• Passionate about next-generation AI architectures

We value builders who ship real systems, not just research prototypes.

Education

Bachelor’s / Master’s in:

Computer Science

Artificial Intelligence

Machine Learning

Data Science

or related field.

Why Join Ampera

At Ampera, we are building AI-native enterprise platforms that transform how organizations use data and intelligence.

Engineers at Ampera work on:

• real-world enterprise AI systems

• cutting-edge GenAI and agentic architectures

• global enterprise clients across industries

• high-impact AI platforms that scale.

What Makes This Role Unique

You will help build the next generation of enterprise AI systems — where AI moves beyond prediction and becomes an autonomous decision-making layer for organizations.

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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Key Responsibilities

• Lead end-to-end recruitment for faculty and staff positions, ensuring compliance with university policies and statutory requirements.
• Oversee employee background verification, onboarding, and induction processes.
• Draft, review, and update HR policies, procedures, and documentation.
• Manage employee relations, grievance handling, and disciplinary procedures.
• Coordinate with external vendors/agencies for HR services.
• Support performance management, training, and professional development initiatives.
• Ensure accurate HR data management, reporting, and compliance with labor laws.

Qualifications & Skills

• Master’s degree in HR Management or related field.
• 8–10 years of progressive HR experience, preferably in higher education.
• Strong knowledge of labor laws, compliance, and university HR practices.
• Excellent communication, negotiation, and leadership skills.
• Proficiency in HRIS, MS Office, and data analysis.

MemoNeet, a leading Edtech Startup with over 900K+ downloads for NEET exam preparation about to reach Million Users, is on a mission to empower students through innovative technology. We are seeking a skilled and dedicated full-time virtual assistant who will be full time influencer marketing executive

Skills

1. Strong analytical skills

2. ⁠excellent communication skills

3. Adaptability: Willingness to learn new tools and techniques as digital marketing trends evolve.

4. ⁠Team Collaboration: Ability to work effectively within team environment, collaborating with marketing specialists, designers, and developers.

5. ⁠Problem-Solving: Aptitude for identifying issues or challenges and proposing solutions to improve efficiency and effectiveness.

6. Research Skills: Ability to conduct market research, competitor analysis, and trend

7. ⁠Content Management: Basic understanding of content creation, editing, and publishing for various marketing materials

8. ⁠Proficiency in Ms office & Canva

Roles & Responsibilities

• Implement comprehensive strategies to improve onboarding metrics
• Develop & execute events for startups. Help them connect and network
• Evaluate & filter potential startups and get them onboarded to the PedalStart Community
• Analyse startups' needs and offer solutions and guidance to help in their growth and chase critical metrics
• Monitor and analyse the performance of all campaigns, assessing key performance indicators (KPIs) & return on investment (ROI)
• Work on multiple ongoing projects, ensuring efficient multitasking and successful execution

Desired Skill Set

• Basic Experience- Prior experience in Sales/Account Management (06 months - 2 years)
• Love for Startups - Basic understanding of startup ecosystem and how they function
• Ownership: - Own each piece and execute it as an entrepreneur
• Structured Problem Solving: Tackle complex situations through effective and structured problem-solving and out-of-the-box thinking
• Ability to Hustle - Fail Fast, Try Again. Roll up your sleeves and get work done
• Initiative: Pick up things on your own, regardless of whether it's assigned to you
• Teamwork: Contribute to the strong team ethic and work towards the success of the entire team

Employment Type - Full-time

CTC- INR 4-7 LPA

Note: We work 6 days a week from our office.

• Location: Spring House Coworking, Grand Mall, Gurgaon - 122002

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Job description

Company Description

Maxify Digital is the world's #1 AI-Powered Salesforce Bespoke Platform. With just a click away, our AI-enabled digital platform matches you to a Salesforce Expert ready to transform your Salesforce CRM. We offer a hassle-free experience with no lengthy SOW and no hiring hassle, providing you with customized solutions without any strings attached.

Role Description

This is a full-time on-site role as a Business Development Executive located in Noida. As a Business Development Specialist, you will be responsible for lead generation, market research, customer service, and effective communication with clients. You will work to identify and develop new business opportunities, build and maintain relationships with clients, and contribute to the overall growth of the company.

Qualifications

Minimum 3 years experience required in software sales

Analytical Skills, Market Research, and Lead Generation

Strong communication and interpersonal skills

Excellent customer service abilities

Experience in business development or sales

Strong problem-solving abilities

Ability to work independently and in a team

Proficiency in Salesforce CRM is a plus

Bachelor's degree in Business, Marketing, or related field

Title/Role: Python Django Consultant

Experience: 8+ Years

Work Location: Indore / Pune /Chennai / Vadodara

Notice period: Immediate to 15 Days Max

Key Skills: Python, Django, Crispy Forms, Authentication, Bootstrap, jQuery, Server Side Rendered, SQL, Azure, React, Django DevOps

Job Description:

• Should have knowledge and created forms using Django. Crispy forms is a plus point.
• Must have leadership experience 
• Should have good understanding of function based and class based views.
• Should have good understanding about authentication (JWT and Token authentication)
• Django – at least one senior with deep Django experience. The other 1 or 2 can be mid to senior python or Django
• FrontEnd – Must have React/ Angular, CSS experience
• Database – Ideally SQL but most senior has solid DB experience
• Cloud – Azure preferred but agnostic
• Consulting / client project background ideal.

Django Stack:

• Django
• Server Side Rendered HTML
• Bootstrap
• jQuery
• Azure SQL
• Azure Active Directory
• Server Side Rendered/jQuery is older tech but is what we are ok with for internal tools. This is a good combination of late adopter agile stack integrated within an enterprise. Potentially we can push them to React for some discreet projects or pages that need more dynamism.

Django Devops:

• Should have expertise with deploying and managing Django in Azure.
• Django deployment to Azure via Docker.
• Django connection to Azure SQL.
• Django auth integration with Active Directory.
• Terraform scripts to make this setup seamless.
• Easy, proven to deployment / setup to AWS, GCP.
• Load balancing, more advanced services, task queues, etc.

• Researching on topics that are of interest to the target audience
• Writing compelling content for email campaigns, landing pages and communication with customers
• Proofreading, editing and improving content created by others and ensure brand consistency
• Working alongside team members to come up with concepts and ideas to increase revenue
• Ensuring correct grammar and spelling throughout content and website

Desired Candidate Profile

Job Description

Hands on Experience in Angular4 with Node.js

You will get hands on experience in latest technologies and skills like AngularJS, ReactJS, NodeJS, MongoDB, REST API etc.

Good understanding of how web applications work.

Expert knowledge in HTML, CSS, JavaScript, jQuery, Bootstrap

We need a passionate candidate who is looking for the next level of career growth in a fast-paced, learning based and merit-driven work environment.

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics