
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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About Ampera Technologies
About
At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions
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About Wissen Technology
Wissen Technology, established in 2015 and part of the Wissen Group (founded in 2000), is a specialized technology consulting company. We pride ourselves on delivering high-quality solutions for global organizations across Banking & Finance, Telecom, and Healthcare domains.
For more details:
Website: www.wissen.com
Wissen Thought leadership : https://www.wissen.com/articles/
LinkedIn: Wissen Technology
Role: Java Backend Developer with AWS
Key Responsibilities
● Design & Development: Build robust, scalable, and maintainable backend services using Java 17+ and the Spring Boot ecosystem.
● API Design: Develop and document RESTful for consumption by web and mobile frontends.
● Database Management: Optimize complex queries and design schemas for relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, DynamoDB) databases.
● Microservices Architecture: Contribute to the migration or maintenance of microservices, ensuring high availability and low latency.
● Code Quality: Perform thorough code reviews and write comprehensive unit, integration, and functional tests (JUnit, Mockito).
● Cloud & DevOps: Deploy and manage applications in AWS using Docker and Kubernetes.
● Collaboration: Work closely with Frontend Developers, Product Managers to translate business requirements into technical specifications.
Required Technical Skills
● Java Mastery: Deep understanding of Core Java, Multithreading, and Stream API.
● Frameworks: Extensive experience with Spring Boot, Spring Security, and Spring Data JPA/Hibernate.
● Cloud Experience: Proficiency with cloud-native services (e.g., AWS Lambda, S3, RDS, or SQS).
● Messaging: Experience with message brokers like Apache Kafka for asynchronous processing.
● CI/CD: Hands-on experience with Jenkins, GitLab CI, or GitHub Actions.
● Version Control: Expert-level knowledge of Git and branching strategies.
Qualifications & Soft Skills
● Experience: 5+ years of professional experience in backend development.
● Problem Solving: Ability to debug complex production issues and performance bottlenecks.
● Communication: Excellent verbal and written communication skills—vital for a remote/hybrid contractor setup.
● Adaptability: Proven ability to quickly learn new codebases and business domains.
Role Overview:
We are seeking a backend-focused Software Engineer with deep expertise in REST APIs,
real-time integrations, and cloud-based application services. The ideal candidate will build
scalable backend systems, integrate real-time data flows, and contribute to system design
and documentation. This is a hands-on role working with global teams in a fast-paced, Agile
environment.
Key Responsibilities:
• Design, develop, and maintain REST APIs and backend services using Python, FastAPI,
and SQLAlchemy.
• Build and support real-time integrations using AWS Lambda, API Gateway, and
EventBridge.
• Develop and maintain Operational Data Stores (ODS) for real-time data access.
• Write performant SQL queries and work with dimensional data models in PostgreSQL.
• Contribute to cloud-based application logic and data orchestration.
• Containerize services using Docker and deploy via CI/CD pipelines.
• Implement automated testing using pytest, pydantic, and related tools.
• Collaborate with cross-functional Agile teams using tools like Jira.
• Document technical workflows, APIs, and system integrations with clarity and
consistency.
• Should have experience in team management
Required Skills & Experience:
• 8+ years of backend or integrations engineering experience.
• Expert-level knowledge of REST API development and real-time system design.
• Strong experience with: Python (FastAPI preferred), SQLAlchemy.
• PostgreSQL and advanced SQL.
• AWS Lambda, API Gateway, EventBridge.
• Operational Data Stores (ODS) and distributed system integration.
• Experience with Docker, Git, CI/CD tools, and automated testing frameworks.
• Experience working in Agile environments and collaborating with cross-functional
teams.
• Comfortable producing and maintaining clear technical documentation.
• Working knowledge of React is acceptable but not a focus.
• Hands-on experience working with Databricks or similar data platforms.
Education & Certifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field (required).
• Master’s degree is a plus.
• Certifications in AWS (e.g., Developer Associate, Solutions Architect) or Python
frameworks are highly preferred.
About the Role
At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.
Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.
We are a remote-first team and are open to hiring exceptional candidates globally.
Core Tasks
· Build and maintain the trading engine core for execution, backtesting, and event logging.
· Develop isolated strategy execution runners to support multi-user, multi-strategy environments.
· Implement abstraction layers for brokers and market data feeds to offer a unified API experience.
· Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.
· Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.
· Design compute-optimized components for multi-asset workflows and scalable backtesting.
· Capture real-time state, performance metrics, and slippage for both live and simulated runs.
· Collaborate with infrastructure engineers to support high-availability deployments.
Top Technical Competencies
· Proficiency in distributed systems, concurrency, and system design.
· Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.
· Deep understanding of data structures and algorithms with a focus on low-latency performance.
· Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).
· Familiarity with Linux-based environments and system-level performance tuning.
Bonus Competencies
· Understanding of financial markets, asset classes, and algorithmic trading strategies.
· 3–5 years of prior Backend experience.
· Hands-on experience with backtesting frameworks or financial market simulators.
· Experience with sandboxed execution environments or paper trading platforms.
· Advanced knowledge of multithreading, memory optimization, or compiler construction.
· Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.
What We Offer
· Opportunity to shape the backend architecture of a next-gen fintech startup.
· A collaborative, technically driven culture.
· Competitive compensation with performance-based bonuses.
· Flexible working hours and a remote-friendly environment for candidates across the globe.
· Exposure to financial modeling, trading infrastructure, and real-time applications.
· Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.
Ideal Candidate
You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.
- Experience in API development using Java will be a plus.
- Excellent knowledge and experience in writing testable, scalable, flexible, robust and efficient web applications using JavaEE 6/7 technologies, specifically, Spring core, Spring Boot Spring Data, spring batch and JPA
- Experience in successfully deploying Java-based applications in production and understanding load-balancing, authentication, and fault tolerance through Tom Cat.
- Experience in database modeling (MySQL/NoSQL databases such as Mongo DB)
- Knowledge of integrating with Ant, Maven, GIT and Shell scripting.
- Strong backend experience to develop Data Layer using at least one of the ORM frameworks like Hibernate, JPA etc.
- Strong RDBMS Skills and SQL skills. Experience in MySQL, Teradata and warehousing databases.
-
Experience in Analytics frameworks and visualization products.
- Excellent knowledge and experience of Maven, Continuous Integration, and Continuous Delivery with Jenkins.
• Experience with JavaScript frameworks, especially Angular is a definite plus.
Java 8, J2EE , Spring Boot, Microservices, Apache Spark, DevOps, Advanced SQL, preferably with
expertise in Data engineering/Data analytics,
ELK(Elastic Search, Logstash , Kibana) stack, Teradata, any No SQL database, Hands on experience in
maintaining products on Cloud Technologies like PCF, Azure, Docker, Kubernetes, etc, NodeJS,
Angular 2x, GitLab with CI/CD, Hands on experience in Unix server, Shell scripting, Large data
processing, Performance tuning, Experience in working in various Test Automation frameworks like
Selenium, Test NG, Python, Cucumber, Karma, Karate/ Jasmine, etc
Experience in using Eclipse, Spring tool suite, Project building tools - Maven, Gradle, etc, JIRA for ALM.
iOS developer Experienced
Job Summary :-
We are looking for an Experienced iOS developer who has good knowledge of mobile application development, maintenance and, bug fixing.
Your primary focus will be the development of iOS applications.
Responsibilities and duties:-
· Proficient with x code tool and swift programming language
· Basic Knowledge of Swift language.
· Knowledge about Storyboard, auto layout.
· Understanding of Apple’s design principles and interface guidelines.
· Familiarity with cloud message APIs and push notifications.
· Knowledge of the latest trends and technologies and the ability to use them in the apps.
· Design and build advanced applications for the iOS platform.
· Experience In Third-party libraries and APIs
· Ability to understand business requirements and translate them into technical requirements
· Collaborate with cross-functional teams to define, design, and ship new features
· Proficient understanding of code versioning tools, such as Github.
· Good Analytical and Problem solving Skills.
Key Skills:-
Java, Oops Concepts,Strong in IOS Development with swift or objective c.
Experience:- 1Year – 2Year
Required Experience and Qualifications:-
BE IT/ BE COMP/ MSC IT/ Diploma / BCA/ MCA
Salary:- 15k to 25k
Description:
As a Data Engineering Lead at Company, you will be at the forefront of shaping and managing our data infrastructure with a primary focus on Google Cloud Platform (GCP). You will lead a team of data engineers to design, develop, and maintain our data pipelines, ensuring data quality, scalability, and availability for critical business insights.
Key Responsibilities:
1. Team Leadership:
a. Lead and mentor a team of data engineers, providing guidance, coaching, and performance management.
b. Foster a culture of innovation, collaboration, and continuous learning within the team.
2. Data Pipeline Development (Google Cloud Focus):
a. Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Dataprep.
b. Implement best practices for data extraction, transformation, and loading (ETL) processes on GCP.
3. Data Architecture and Optimization:
a. Define and enforce data architecture standards, ensuring data is structured and organized efficiently.
b. Optimize data storage, processing, and retrieval for maximum
performance and cost-effectiveness on GCP.
4. Data Governance and Quality:
a. Establish data governance frameworks and policies to maintain data quality, consistency, and compliance with regulatory requirements. b. Implement data monitoring and alerting systems to proactively address data quality issues.
5. Cross-functional Collaboration:
a. Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that drive business insights.
b. Participate in discussions regarding data strategy and provide technical expertise.
6. Documentation and Best Practices:
a. Create and maintain documentation for data engineering processes, standards, and best practices.
b. Stay up-to-date with industry trends and emerging technologies, making recommendations for improvements as needed.
Qualifications
● Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
● 5+ years of experience in data engineering, with a strong emphasis on Google Cloud Platform.
● Proficiency in Google Cloud services, including BigQuery, Dataflow, Dataprep, and Cloud Storage.
● Experience with data modeling, ETL processes, and data integration. ● Strong programming skills in languages like Python or Java.
● Excellent problem-solving and communication skills.
● Leadership experience and the ability to manage and mentor a team.
We are seeking a Staff Salesforce Engineer. The Staff Salesforce Engineer will have accountability to deliver Sales Cloud functionality within and across the Salesforce Platform, integrations with external systems, and will have exposure to Financial Service, Service, and Marketing Cloud functionality within the platform. The Staff Engineer is responsible for leading the design, build (configuration and customization), implementation, documentation, and maintenance of functionality that meets the needs identified by Product Leadership.
Responsibilities:
- Identify and translate conceptual needs into executable design and delivery. Partner with the PO to determine technical feasibility, sequencing, story refinement and epic/release planning to guide the development team.
- Define system solutions that ensure alignment with industry best practices, technical strategies, and priorities.
- Proficient in data modeling, designing custom objects, fields, and relationships to meet end-user needs.
- Designing and implementing custom user-guided experience workflows.
- Expertise in integrating Salesforce with external systems using APIs and middleware.
- Understanding various integration patterns, including point-to-point integrations, middleware-based integrations, and event-driven architectures.
Leadership:
- Provide technical leadership to a product delivery team of 2-4 Salesforce Engineers, and collaborate with architects and other product leaders.
- Provide coaching/mentorship to delivery team Engineers on technical focused topics.
- Be the model for oneself and the delivery team on keeping skill sets and expertise relevant with the latest Salesforce releases, features, and industry best practices.
- Active participation in the technology community through forums, events, and/or open-source or personal project contributions.
Application Implementation & Oversight:
- Provide oversight of delivery team code review processes to ensure the security, scalability, and maintainability of Salesforce solutions.
- Deep understanding of patterns and value of unit testing, test classes, and test data creation to ensure code coverage and quality.
- Thorough documentation of design decisions, code, and configurations or both development and end-user understanding.
Requirements:
- Bachelor's degree in Computer Science or other technical field or equivalent work experience
- 10+ years of experience in engineering environments, taking abstract concepts and ideas and formulating a detailed software engineering plan to deliver.
- Experience architecting salesforce software solutions with requirements such as performance SLOs, high availability, reliability, security, etc.
- Understand data and system integration patterns and technologies
- Proficiency in managing large scale implementations, efforts.
- Ability to articulate and transfer complex ideas to a wide audience through both verbal and written communication.
- Strong conceptual, critical thinking, technical and problem-solving skills with good attention to details.
- Must be articulate and have the ability to meet with high level management to present and/or deliver technical documentation.
Preferred:
- 7 - 10+ years of experience in the Salesforce engineering environment, taking abstract concepts and ideas and formulating a detailed software engineering plan to deliver
- Extensive knowledge of Sales and Financial Service Clouds.
- Highly proficient in developing Apex Classes, Apex triggers, Batch Apex, JavaScript, Lightning Web Components (LWC), Visual Force (VF Pages), OmniStudio
- Preferred 1-3 years recent work experience in several of the following integration technologies: Java, REST/ SOAP API, Spring Boot, Mongo DB, Confluent Kafka, Change Data Capture, Platform Events, OpenShift, Docker, TC Server, Messaging Queues (RabbitMQ, IBM MQ).
- Experience with CI/CD DevOps including using tools such as Visual Studio Code, Salesforce CLI, Git, Github, Github actions, Bitbucket, and Jira.
- Excellent verbal and written communication skills, particularly around technical documentation.
- Ability and desire to learn new technologies and development tools.
- A creative mindset to apply innovative approaches to software design.
- Exposure to working in a product operating model, leveraging an Agile scrum execution framework.
- Experience working directly with product owners, peer engineers, dev team, and business partners.
- Salesforce Admin and Developer certifications preferred.
Benefits:
- Work Location: Remote
- 5 days working
You can apply directly through the link : https://zrec.in/zOwmj?source=CareerSite
Explore our Career Page for more such jobs : careers.infraveo.com

Technical Proficiency:
Experience in leading self-service offering to business users. Tableau experience in Architecture, Administration and development is must.
- Experience in supporting and administration of middleware software systems in an enterprise setting. Excellent troubleshooting skills in a complex enterprise environment.
- Hadoop / Big Data domain experience is required, as is exposure to ecosystem technologies such as Hive, Impala and Spark.
Data Warehouse/ETL design and development methodologies knowledge and experience required - Scripting experience in Linux shell scripting and Python.
- Good SQL skills.
- Integrate/roll-out/administer/sustain/upgradeour installations of vendor BI products on Linux.
- Ensure products are configured properly to meet the necessary security, supportability, and performance requirements.
Experience with developing frameworks and utility services including logging/monitoring
Leadership Skills:
o Lead the team on Strategic BI and Big Data Governance.
o Excellent organization skills, attention to detail
o Demonstrated sense of responsibility and capability to deliver quickly
o Ability to build strong relationships in a multi-cultural environment across all levels within IT
o Promotes continuous process improvement especially in code quality, testability & reliability
o Exceptional strategic analysis, problem solving, issue resolution and decision making skills
o Excited about rapid changes in the market/domain and being flexible to adopt newer technologies and methods.
Education:







