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Tech Delivery Lead
A next-generation information technology solutions company
Tech Delivery Lead
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Tech Delivery Lead

at A next-generation information technology solutions company

Agency job
13 - 17 yrs
₹24L - ₹27L / yr
Bengaluru (Bangalore)
Skills
Performance engineering
skill iconJava
Technical Architecture
Kafka
IBM cloud
SQL
Performance Testing
Key Technical Skills:
  • Deep experience on Performance Engineering with understanding of Java/J2EE technologies.
  • Experienced in defining and realizing end-to-end Technical Architecture for large scale real- time enterprise systems. Ability to identify and define non-functional requirements and design systems to meet the same.
  • Ability to review existing Architectures and identify Risks, Trade-offs, and share recommendations for addressing the identified issues.
  • Demonstrate strong understanding of cloud architecture considerations when scaling and tuning application deployments. Must have hands on experience working on any of the Cloud deployments on AWS or Azure.
  • Good experience on leveraging APM tools to provide deep dive analysis on performance problems. Deep understanding of the dashboards which can be built for CIO level interactions. Must have relevant experience on APM tools like Dynatrace or AppDynamics.
  • Experience in performance optimization of J2EE systems on any of different types of application servers - WebLogic, WebSphere, JBoss etc. Deep expertise in any one of the application servers is a must.
  • Experience in creating and reviewing technical documents like Architecture blueprint, Design specifications, Deployment architecture.
  • Experience on working on Performance Testing Projects. Fair understanding of Performance Testing tools - Apache JMeter /Gatling/ HP Load Runner for Load testing. Must be in a position to review Performance Testing programs and steer directions towards right Workload Model, appropriate Test and Monitoring Strategy, build performance models and derive at right Capacity Planning.
  • Experience in Big Data Analytics like - Apache Kafka, Apache Storm, Apache Hadoop, Apache Spark.
  • Good skills in RDBMS like: Oracle, MS-SQL, MySQL, Cassandra, and Mongo DB
  • Exposure to Agile methodologies & Continuous Integration Tools
  • Entrepreneur / Intrapreneur (someone who has built technology teams ground-up, built new solutions from scratch)
  • Very sound understanding of technology and have a consultative approach.
  • Sound understanding of complex enterprise IT environment and issues faced by CIOs in the digital era.
  • Excellent Pre-sales experience and have played a key role in winning business along with the sales team.
  • Excellent communication, interpersonal, liaison and problem-solving skills with the ability to work in a multi-cultural environment
  • Good negotiation skills
  • Go getter and results oriented
  • High energy level with ability to work well under pressure
  • Good relationship building skills. Someone who enjoys CIOs trust and has an ability to develop relationships at all levels (technology teams) of the customer organization.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Ampera Technologies
Bengaluru (Bangalore)
5 - 10 yrs
₹15L - ₹40L / yr
Generative AI
Large Language Models (LLM)
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
MLOps

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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Data center
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Hyper V
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Company Website

https://www.trelleborg.com/en

Website: www.tss.trelleborg.com/tssindia 

Location: BANGALORE - Hosa Road


About Company

Company Profile


Trelleborg Sealing Solutions (TSS), a business area of Trelleborg Group is headquartered in Sweden, with manufacturing locations and marketing network across the world. 


Trelleborg Group is the world's largest non-tire rubber supplier with presence in almost 40 countries and employing about 16700 people. 2022 worldwide sales figures stood at SEK 30 Billion (Euro 2.8 billion) in the 2 business areas (Trelleborg Industrial Solutions and Trelleborg Sealing Solutions).


Trelleborg Sealing Solutions is a leading global supplier of precision seals for the Industrial (No. 1 in Europe), Automotive (leading in specific niches) and Aerospace markets (No. 1 in Europe / No.2 in US). Vital Statistics are as follows:

➢ Sales: Over Euro 1473 M

➢ Employees: 9,500 approx

➢ Manufacturing in 44 Sites

➢ 62 Customer Solution Centers, 12 R&D, 2 Customer Innovation Center and 7 SCM Centers.


Positions: 1

Mode of Working: Work From Office

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Position title: Data Center Engineer – Hosting Operations

Summary

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  • Experience or working knowledge in ITIL processes and standards is an added advantage though not essential
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Behavioral Characteristics

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Geography to cover and Travel requirements

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Key Interfaces and Stakeholders

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  • Experience: 3+ years
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  • Without mandatory skills experience, the candidate profiles will not be considered
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About the job

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About WatchYourHealth

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2 - 4 yrs
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• Being part of a dynamic team, in charge of the development and enhancement of
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ASP.NET 4.5, C#, MVC, ANGULAR, SQL SERVER
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Read more
MindTickle
at MindTickle
1 video
11 recruiters
Rohit Chib
Posted by Rohit Chib
Pune
1 - 3 yrs
₹10L - ₹25L / yr
skill iconJava
MySQL
skill iconNodeJS (Node.js)
Job Description We are looking for a rockstar technology evangelist for the engineering team who will be building maintaining & scaling platform at MindTickle with rightly selecting the most appropriate architectur, such that it suits the business needs, and achieves the desired results under given constraints. Strategic Responsibility: Design & Build - Designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance Collaborate - Collaborating within your product streams and team to bring best practices and leverage world class tech stack Measurable outcome - You will need to set quantifiable objectives that encapsulate quality attributes of a system. The fitness of the application is measured against set marks. DevOps - You will need to set up every essentials(Tracking/alerting) to make sure the infrastructure/software you built is working as expected Personality: Requires excellent communication skills – written, verbal, and presentation. You should be a team player. You should be positive towards problem solving, have very structural thought process to solve problems. You should be agile enough to learn new technology if needed. Qualifications: BTech / BS / BE / MTech / MS / ME in CS or equivalent from IITs or Top Tier Engineering Colleges 1-3 years of strong software(application or infrastructure) development experience and software engineering skills (Java/Scala,Node, and javascript preferred) Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis or couchbase or mongodb or ES or any graphDB) Working knowledge of amazon web services(AWS) Experience with Docker(docker.io) will be a plus Self motivated and team player
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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