Assistant Manager - Internal Audit

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are seeking a highly skilled and innovative Generative AI Engineer to join our team. In this role, you will develop and deploy cutting-edge generative AI models to solve real-world problems. You will work on building models that generate content, understand complex data, and collaborate closely with cross-functional teams to implement AI-powered solutions.

What you will do?

• Design and implement generative AI solutions using large language models (LLMs).
• Apply prompt engineering techniques and build scalable Retrieval-Augmented Generation (RAG) systems.
• Fine-tune and optimize models for performance, cost, and reliability.
• Leverage AWS services such as Bedrock, SageMaker, and Lambda for deployment and inference.
• Develop APIs and backend components for production-grade AI applications.
• Implement observability, performance monitoring, and security best practices.
• Drive responsible AI adoption through evaluation, bias detection, and compliance.

What are we looking for?

• 3+ years of experience in Python with strong software engineering fundamentals.
• Hands-on experience with LLMs and prompt engineering strategies.
• Experience designing RAG pipelines and working with vector databases.
• Proficiency in model fine-tuning (e.g., LoRA) and embedding-based systems.
• Experience with cloud platforms and deploying AI models in production.
• Strong debugging, optimization, and problem-solving skills.
• Clear and effective technical communication.
• Production-first mindset with attention to cost, reliability, and performance.

Preferred Qualifications

• Practical experience with frameworks like LangChain or LlamaIndex.
• Exposure to multi-modal AI systems.
• Familiarity with ML/MLOps and large-scale deployment practices.
• Experience supporting systems at high request volumes.

Role Objective

The Product Marketing Manager will own the positioning and market narrative for Instanodes, ensuring the product is clearly understood, differentiated, and effectively adopted across target customer segments. This role sits at the intersection of Product, Sales, and Growth and is responsible for translating a technically complex infrastructure offering into clear, compelling value propositions for developers, startups/scale-ups, and enterprise customers. The PMM will drive go-to-market (GTM) strategy, enable the sales team with strong collateral, and ensure that every product launch and feature release is aligned with market needs and customer outcomes.

Key Responsibilities

1. Positioning & Messaging

a. Define and refine Instanodes’ positioning across key audiences:

• Developers building on blockchain infrastructure
• Startups and scale-ups launching or scaling Web3 products
• Enterprise organizations and rollup clients

b. Develop clear messaging frameworks that communicate product value, technical differentiation, and business outcomes.

c. Build messaging pillars, value propositions, and product narratives that can be used consistently across marketing, sales, and partnerships.

2. Competitive Intelligence

a. Conduct ongoing competitive analysis against node and infrastructure providers.

b. Identify differentiation in performance, reliability, scalability, pricing, and developer experience.

c. Create internal insights and external positioning to help Instanodes stand out in a crowded Web3 infrastructure market.

3. Go-to-Market Strategy

a. Create GTM plans and playbooks for:

• New feature releases
• New blockchain integrations and chains
• Enterprise offerings and solutions

b. Collaborate with Product and Growth teams to plan launches, announcements, and campaigns.

c. Define target personas, use-cases, and adoption strategies for each release.

4. Sales Enablement

a. Equip the Sales and Business Development teams with clear, practical assets including:

• Pitch decks
• Battle cards
• Case studies
• Demo scripts

b. Train internal teams on product value, use-cases, and messaging.

c. Gather feedback from Sales and continuously improve enablement material.

5. Content & Website Ownership

a. Own product and solution page content on the website.

b. Translate complex technical features into benefits-driven content understandable by both technical and business stakeholders.

c. Ensure website messaging supports lead generation and conversion.

6. Cross-Functional Collaboration

a. Work closely with Product Managers to understand roadmap and capabilities.

b. Align with Growth/Marketing teams on campaigns and demand generation.

c. Partner with Sales to support enterprise conversations and outbound efforts.

d. Act as the “voice of the market” inside the organization.

Requirements

1. 4–7 years of Product Marketing experience (preferably in B2B SaaS, developer tools, or infrastructure products)
2. Strong ability to understand and communicate technical concepts
3. Experience collaborating with sales and outbound teams
4. Proven capability to simplify complex technical offerings into clear business value
5. Exposure to Web3, blockchain infrastructure, or developer platforms is strongly preferred

Success KPIs

1. Increase in product page conversion rates
2. Improvement in sales win-rate
3. Higher feature adoption and usage
4. Positive internal feedback from sales teams on enablement assets and clarity of messaging

Hi,

Greetings from Ampera!

we are looking for a Data Scientist with strong Python & Forecasting experience.

Title                               : Data Scientist – Python & Forecasting

Experience                   : 4 to 7 Yrs

Location                       : Chennai/Bengaluru

Type of hire                  : PWD and Non PWD

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Working hours           : 09:00 a.m. to 06:00 p.m.

Workdays                   : Mon - Fri

Job Description:

We are looking for an experienced Data Scientist with strong expertise in Python programming and forecasting techniques. The ideal candidate should have hands-on experience building predictive and time-series forecasting models, working with large datasets, and deploying scalable solutions in production environments.

Key Responsibilities

• Develop and implement forecasting models (time-series and machine learning based).
• Perform exploratory data analysis (EDA), feature engineering, and model validation.
• Build, test, and optimize predictive models for business use cases such as demand forecasting, revenue prediction, trend analysis, etc.
• Design, train, validate, and optimize machine learning models for real-world business use cases.
• Apply appropriate ML algorithms based on business problems and data characteristics
• Write clean, modular, and production-ready Python code.
• Work extensively with Python Packages & libraries for data processing and modelling.
• Collaborate with Data Engineers and stakeholders to deploy models into production.
• Monitor model performance and improve accuracy through continuous tuning.
• Document methodologies, assumptions, and results clearly for business teams.

Technical Skills Required:

Programming

• Strong proficiency in Python
• Experience with Pandas, NumPy, Scikit-learn

Forecasting & Modelling

• Hands-on experience in Time Series Forecasting (ARIMA, SARIMA, Prophet, etc.)
• Experience with ML-based forecasting models (XGBoost, LightGBM, Random Forest, etc.)
• Understanding of seasonality, trend decomposition, and statistical modeling

Data & Deployment

• Experience handling structured and large datasets
• SQL proficiency
• Exposure to model deployment (API-based deployment preferred)
• Knowledge of MLOps concepts is an added advantage

Tools (Preferred)

• TensorFlow / PyTorch (optional)
• Airflow / MLflow
• Cloud platforms (AWS / Azure / GCP)

Educational Qualification

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.

Key Competencies

• Strong analytical and problem-solving skills
• Ability to communicate insights to technical and non-technical stakeholders
• Experience working in agile or fast-paced environments

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.

Job Title: Lead Java Developer

Experience Required: 7+ Years

Location: Mumbai

About the Role

We are seeking a highly skilled Senior Backend Developer with deep expertise in building scalable, high-performance applications. The ideal candidate will have strong hands-on experience with Java, Spring Boot, Microservices, and distributed systems. You will play a key role in designing and optimizing APIs, architecting robust systems, and collaborating with cross-functional teams to deliver innovative solutions.

Key Responsibilities

• Design, develop, and maintain scalable backend systems using Java, Spring Boot, and Microservices architecture.
• Build and optimize APIs for large-scale applications ensuring high performance and reliability.
• Apply clean coding principles, SOLID design patterns, and clean architecture to deliver maintainable and robust code.
• Work with distributed systems technologies (Kafka, ELK, in-memory databases, Cassandra, or similar).
• Write efficient SQL queries and integrate with relational and NoSQL databases.
• Collaborate with product managers, architects, and other developers to define and align on technical decisions.
• Identify and solve complex problems with innovative and scalable solutions.
• Drive best practices in coding standards, system design, and performance optimization.
• Communicate complex technical concepts clearly across teams and stakeholders.

Skills & Qualifications

• 7+ years of experience as a Backend Developer.
• Strong expertise in Java, Spring Boot, Microservices, SQL.
• Significant experience in API design and optimization for enterprise-scale applications.
• Proficiency in distributed systems & related technologies (Kafka, ELK, in-memory DBs, Cassandra, etc.).
• Strong understanding of object-oriented engineering principles (SOLID, clean architecture).
• Excellent problem-solving and analytical skills with the ability to simplify complex concepts.
• Strong communication and collaboration skills, with the ability to influence and align teams.

UI Architect / Developer

1.       A must have skills is Angular. NodeJs preferred but can be replaced with anything on server side scripting.  

a.       70% work for this role in angular based. At architect role without server side scripting understanding doesn’t a right fit. 

b.       Someone who can take sound decision for overall interaction with backend.  

c.        There are components written in node (Control Manager and aith server) which we have intentions to align with UI architect.  

d.       Given Node is technology primary in java script (same as angular), generally we are seeing people who have earlier exposure or are confident to pick it with little learning. But we would not penalize anyone who is week in node, but champ in angular for this role. 

2.       Design , develop and maintain client facing web applications. 

3.       Cooperating with backend developers in the process of building REST APIs. 

4.       Should demonstrate deep understanding of the following: 

·         Design - HTML/CSS  

·         Frontend languages - Experience with Javascript  and related frameworks - Angular(7/8/9), Angular Material, Bootstrap(or similar CSS frameworks), Node JS (preferred but not mandatory). 

·         Test frameworks - Mocha, Chai, Jasmine, Karma 

To be shared by you - 

1.     Can you lead frontend-backend integration? 

2.     Can you use linux machines? 

3.     Are you aware of websockets? 

4.     Has you workedon binary data communication over websockets? 

5.     Do you understand different types of communication protocols available between frontend-backend and it's working? 

6.       Do you have experience on electron framework? 

7.       Highest team size managed by you.