Jobs
Interviews
6 Job openings at Expreo
Java/ Spark (TL/ATA)

Bengaluru, Karnataka

0 years

INR 24.0 - 26.0 Lacs P.A.

Work from Office

Full Time

We are looking for 5-9 Yrs exp candidate for Java + Spark & AWS/GCP( Candidate should be able to Design and Develop data platforms & data pipelines using Java, Spark, Data Engineering, Big Data, AWS or GCP(Basically Data engineer with Java+Spark & AWS)). Job Type: Full-time Pay: ₹2,400,000.00 - ₹2,600,000.00 per year Schedule: Day shift Work Location: In person

Java+Observability

Bengaluru, Karnataka

0 years

INR 35.0 - 45.0 Lacs P.A.

Work from Office

Full Time

Java (11/8 or higher). We are looking for 8 to 12 Years exp Guy on Observability tool:Prometheus/ Grafana/OpenTelemetry/ELK/Jaeger/Zipkin/New Relic,Docker/Kubernetes,CI/CD pipline,Architect Job Type: Full-time Pay: ₹3,500,000.00 - ₹4,500,000.00 per year Schedule: Day shift Work Location: In person

Robotics software Engineer

Gurgaon

0 years

INR 4.0 - 5.0 Lacs P.A.

On-site

Full Time

We need a robotics software engineer who understands mobile robots with good mechatronics knowledge. Someone who has done Linux drive development and C/C++ coding. Background of robotics installation and software deployment. Exp- 2-3 Yrs Good into Mobile robotics. Linux Driver development. C++ proficient, Good into writing codes. Good understanding of software development for Robots. Have worked for Defense projects. Job Type: Full-time Pay: ₹400,000.00 - ₹500,000.00 per year Schedule: Day shift Work Location: In person Application Deadline: 15/06/2025

Full Stack Lead

Noida

0 years

INR 14.0 - 22.0 Lacs P.A.

On-site

Full Time

Key Skills:- Good Experience in Java, Spring Boot, Microservices Hands on Experience with Angular 8+, TypeScript, RxJS, NgRx Strong experience with REST APIs, SQL/NoSQL, MongoDB Familiarity with version control, CI/CD, and Agile methodologies Experience leading and mentoring tech teams. Responsibilities:- Lead the design and development of scalable backend services and responsive frontend applications Oversee the complete development lifecycle – from requirement gathering to deployment Make architectural decisions and ensure code quality Design and implement RESTful APIs and microservices Manage and mentor a team of developers Collaborate with product managers, designers, QA, and DevOps Participate in sprint planning, estimations, and retrospectives Troubleshoot, debug, and resolve technical issues Continuously improve development processes and practices. Job Type: Full-time Pay: ₹1,400,000.00 - ₹2,200,000.00 per year Schedule: Day shift Work Location: In person

AI_Solution Architect

Chennai, Tamil Nadu

12 - 16 years

INR 32.0 - 35.0 Lacs P.A.

On-site

Full Time

AI_Solution Architect Hyderabad, Hyderabad, Telangana , India (HHTI),Chennai, Chennai, Tamil Nadu , India (TCTI) Experience Range 12 - 16 Years Role Summary: The AI Solutioning Architect leads the technical solutioning and architecture of AI-driven projects within the organization, from initial conception through to successful deployment. This role is responsible for ensuring that all AI solutions are strategically aligned with business goals, technically sound, and operationally efficient. This individual will work closely with cross-functional teams to design and implement innovative AI solutions that address complex healthcare challenges within the Healthcare IT landscape. The AI Solutioning Architect plays a critical role in defining the AI/ML strategy and ensuring its successful implementation across the organization. Essential Responsibilities: Lead the technical solutioning process for all AI-related projects, ensuring alignment with business objectives, architectural standards, and the overall AI/ML strategy. Define and maintain the architectural vision and roadmap for AI solutions, incorporating best practices, emerging technologies, and the evolving needs of the Healthcare IT domain. Design end-to-end AI solutions, including data ingestion, processing, model development, deployment, and monitoring, with a focus on scalability, reliability, and security. Work closely with business stakeholders to understand requirements and translate them into technical specifications, while also contributing to the overall strategic direction of AI initiatives. Collaborate with data scientists, engineers, and other technical experts to ensure successful project execution, providing technical guidance and mentorship throughout the development lifecycle. Develop and maintain comprehensive documentation of AI solutions, including architecture diagrams, design specifications, and implementation guidelines, to facilitate knowledge sharing and collaboration. Evaluate and recommend AI technologies, platforms, and tools to support the organization's AI initiatives, with a focus on leveraging Google Cloud Platform (GCP) services where appropriate. Provide technical guidance and mentorship to project teams, fostering a culture of innovation, excellence, and continuous improvement. Lead proof-of-concept (POC) projects to validate the feasibility and value of proposed AI solutions, ensuring that they align with the organization's strategic goals. Ensure that AI solutions are scalable, secure, and compliant with relevant regulations and standards, including HIPAA and other Healthcare IT requirements. Stay abreast of the latest trends and advancements in AI and related fields, and proactively identify opportunities for innovation and competitive advantage. Work with US and Thryve leaders to provide project status, risk assessment, and strategic recommendations, ensuring that stakeholders are informed and aligned on project goals and timelines. Effectively communicate complex technical concepts to both technical and non-technical audiences, fostering collaboration and alignment across the organization. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. 12+ years of experience in software development or architecture, with a significant focus on AI and machine learning. Deep understanding of AI/ML concepts and techniques, including supervised, unsupervised, and reinforcement learning, as well as experience with various AI algorithms and models. Hands-on experience with cloud computing platforms (e.g., AWS, Azure, GCP), with a strong preference for experience with Google Cloud Platform (GCP) and its AI-related services. Proven experience in designing and implementing scalable and robust AI solutions within the Healthcare IT domain. Strong programming skills in languages such as Python, Java, or Scala, as well as experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven ability to lead technical discussions and influence decision-making, with a demonstrated track record of successfully driving AI initiatives within an organization. Experience in working with cross-functional teams and stakeholders, with a strong ability to collaborate and build consensus. Strong analytical and problem-solving skills, with a demonstrated ability to identify and address complex technical challenges. Knowledge of healthcare industry standards and regulations (e.g., HIPAA) is required, as well as a strong understanding of the Healthcare IT landscape. Experience with MLOps practices and tools, with a focus on automating and streamlining the AI development and deployment lifecycle. Strong leadership skills, with the ability to provide technical guidance and mentorship to project teams. Job Type: Full-time Pay: ₹3,200,000.00 - ₹3,500,000.00 per year Benefits: Health insurance Schedule: Day shift Work Location: In person

AIML_Technical_Project _Manager

Chennai, Tamil Nadu

0 - 3 years

INR 30.0 - 35.0 Lacs P.A.

On-site

Full Time

IML_Technical_Project _Manager(JOB00671) Hyderabad, Hyderabad, Telangana , India (HHTI),Chennai, Chennai, Tamil Nadu , India (TCTI) Experience Range-12 - 16 Years Role Summary: The AI Manager leads the AI team, contributing to technical strategy and decision-making. This role involves managing the day-to-day delivery of the AI/ML team, responsible for building, deploying, and maintaining robust, scalable, and efficient ML models. Essential Responsibilities: Provide technical leadership and strategic direction for the AI team, aligning with overall company objectives. Lead and mentor a team of data engineers, MLOps engineers, and machine learning engineers to achieve project objectives and deliverables (development and deployment of ML models for AI use cases across the platform). Contribute to AI/ML architecture design and implementation. Collaborate with business, engineering, infrastructure, and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements. Serve as a primary point of contact for US & Thryve leaders, ensuring clear communication and aligning with project goals and objectives. Guide the AI/ML engineers with respect to business objectives, connecting the dots, and helping the team come up with optimal ML models based on use cases. Manage day-to-day operations, ensuring adherence to process, scope, quality, and timelines. Assume the role of an engagement coordinator between the Thryve India team and US counterparts (techno-functional). Highlight risks and concerns to the leadership team and work with multiple stakeholders to establish alignment, contingency, and/or mitigation plans as required. Proactively track delivery statuses and project progress, taking ownership of all deliverables from Thryve. Communicate effectively with team members, US stakeholders, and management. Stay up-to-date with the latest trends and advancements in AI and ML, and identify opportunities for the team to implement new models and technologies. Propose and implement best engineering and research practices for scaling ML-powered features, enabling fast iteration and efficient experimentation with novel features. Required Skills and Qualifications: Bachelor's degree in engineering, computer science, or a related field. 12 to 16 years of total experience, with at least 3 years of experience leading/managing AI/ML projects (Worked in Predictive modeling projects), achieving clear & measurable business objectives. Good understanding of US Health insurance with at least 2+ years of experience in the same. Experience and understanding of the entire MLOps pipeline, from data ingestion to production. Strong understanding of AI/ML concepts & algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps. Proven ability to take successful, complex ideas from experimentation to production. Hands-on experience with Google Cloud Platform (GCP) or any public cloud platform. Excellent communication, presentation, and interpersonal skills. Proven experience in leading, motivating & inspiring teams to foster collaboration. Proficient in identifying, assessing, and calling out risks and mitigation plans to stakeholders. Experience in implementing process improvements and learning from past projects to enhance future performance. Ability to analyze external and internal processes and create strategies for service delivery optimization. Experience in working with diverse teams and stakeholders, understanding their needs and managing expectations. Experience In handling team & managing multiple stakeholders. Job Type: Full-time Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Benefits: Health insurance Schedule: Day shift Monday to Friday Work Location: In person

Expreo logo

Expreo

6 Jobs

cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Job Titles Overview