SAP SME Expert

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)

Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker

******

Notice period - 0 to 15 days only 

Location : Pune & Hyderabad only

Key Responsibilities

• Core PLM Support & Expertise
• Manage and support key Teamcenter functionalities including:
• Parts & Components Management
• CAD Data Management & Integration
• BOM Management
• Change Management
• Supplier Collaboration
• Enterprise Data Integration
• Configuration & Customization
• Configure and customize Teamcenter modules to meet evolving business requirements
• Ensure alignment with PLM industry best practices and internal process standards
• Troubleshooting & End-User Support
• Investigate, diagnose, and resolve Teamcenter-related issues
• Deliver Tier 2/3 application support and guidance to end-users and business stakeholders
• Maintain system uptime and performance, ensuring minimal business disruption
• Code Implementation
• Develop and maintain clean, efficient code using Teamcenter-specific technologies such as:
• Java, C++, ITK (Integration Toolkit), SOA frameworks
• Support enhancements and new functionality development
• System Integration
• Collaborate with IT and engineering teams to integrate Teamcenter with ERP, CAD, and other enterprise platforms
• Enable seamless data flow and automation across interconnected systems
• Solution Development
• Design and deliver custom solutions within the Teamcenter platform, including:
• Workflows, UI modifications, reports, and extension modules
• Support ongoing innovation and platform optimization

Qualifications

• Bachelor’s degree in computer science, Engineering, or related technical field preferred
• 6+ years of experience supporting and developing within the Teamcenter PLM ecosystem
• Strong hands-on experience with Java, C++, ITK, and SOA for Teamcenter development
• Solid understanding of PLM best practices and enterprise system integration
• Proven problem-solving skills and the ability to manage technical escalations

Duties and responsibilities

● Improve organic search results for desktop and mobile sites on all major search engines

● Provide SEO analysis and recommendations in coordination with elements and structure

of websites and web

● Provide recommendations and execute strategies for content development in

coordination with SEO goals – general and keyword specific

● Administer search engine programs (XML sitemaps, Google Analytics, webmaster tools)

for purposes of diagnostic reporting on client projects

● Promote both off-page and on-page activities and also the interactions that build ranking,

profile and traffic

● Analyse and understand web analytics dashboards and draw inferences which helps to

attain the business goals

● Monitor and evaluate search results and search performance across the major search

channels, need to have good knowledge in current search trends

● Communication to team and management on project development, timelines, and results

● Work closely with the other team members to meet client goals

Experiences (1 - 3 years)

● Proficiency in Google sheet, MS Excel, PowerPoint, and Word

● Experience with website analysis using a variety of analytics tools including Google

Analytics as well as internal reporting tool

● Experience working with popular keyword tools for SEO

● Any Graduate with relevant experience.

● Basic knowledge in HTML Coding will be an added advantage

Skills and Expertise

● Basic SEM knowledge

● Basic HTML Coding

● Good Analytical Mind and Skills

● Keywords Strategy

● Tracking and Analysing

● Creating Reports (Google Sheet/ Microsoft 360)

● Good communication skills

Job Title: Relationship Manager – Broking

Employment Type: Full-Time

Working Days: 6 Days (1st, 3rd, 5th Saturdays OFF; 2nd & 4th Saturdays WORKING)

Work Hours: 9:30 AM – 6:30 PM

📍 About Us

We are a dynamic stock broking firm focused on empowering partners and investors with industry-leading trading products and services. We believe in strong business partnerships, growth opportunities, and delivering unmatched service excellence in financial markets.

🔎 What You’ll Do / Key Responsibilities

As a Relationship Manager – Broking, you will:

• Build and maintain strong, long-term relationships with Authorized Partners (APs).

• Drive business growth and enhance partner revenue through strategic engagement.

• Provide training, mentoring, and activation support to partners.

• Promote our broking products — including Small case, Stock SIP, MTF, Investments & Trading.

• Ensure compliance with all regulatory and procedural standards.

• Engage, motivate, and develop partner relationships to achieve KPIs.

• Deliver consistent service excellence and meet targets set for revenue and partner engagement.

📌 Requirements

✔ Minimum 1–2 years of experience in broking/financial markets.

✔ Strong communication and relationship management skills.

✔ Good knowledge of financial markets, trading products, and regulatory standards.

✔ Comfortable working in a target-driven environment.

✔ Proven ability to work with partners and influence business outcomes.

✨ What We Offer

• Competitive salary & incentive structure

• Career growth opportunities in financial services

• Hands-on role with partner engagement and business development

• Supportive and collaborative work environment

TechUnity is looking for a highly motivated and skilled React JS / React Native software developer who is comfortable with both front and back-end programming. Developer will be designing and implementing attractive and intuitive Web-based user interface and developing backend services to support front-end requests. Developer will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail.

Other Responsibilities:

· Seeing through a project from conception to finished product

· Designing and coding of frontend web architecture

· Designing user interactions on web pages

· Developing backend server architecture

· Creating specification for servers and databases needed

· Ensuring responsive performance of applications.

· Designing and developing APIs.

· Meeting both technical and consumer needs.

· Staying abreast of developments in web applications and programming languages

· Good problem-solving skills.

· Excellent verbal communication skills

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Requirements:

• Strong algorithm and problem solving skills with passion to innovate.
• Good understanding of SDLC processes, practices and key tools.
• The candidate should have past or current experience in development and understands the development aspects thoroughly.
• Good exposure to working in Application performance, scalability and application security is preferred.
• Knowledge in web services (RESTful APIs), Software integrations is mandatory.
• Experience working with technologies like Java, Spring, Hibernate, JSPs, MySQL is mandatory.
• Inclination towards UI/UX and experience working in Angular is preferred.

Certification required-
DP-100/DP-200/AZ-900 Cetification Mandatory
Requirements:

1. 3+ years of hands-on experience in Azure Databricks platform .Delta lake, Time travel design patterns. Lambda Data Architecture
2. Experience in Azure Cloud Platform. (ADLS, Blob , ADF ).
3. Understanding of big data file formats like JSON, Avro, Parquet and other prevalent big data file formats
4. Experience with Python, PySpark, Scala, Spark to write data pipelines and data processing layers
5. Demonstrate expertise in writing complex, highly-optimized SQL queries across large data sets
6. Experience with Data Governance ( Data Quality, Metadata Management, Security, etc.)
7. Strong SQL skills and proven experience in working with large datasets and relational databases.
8. Understanding Data Warehouse design principles (Tabular, MD).
9. Experience in working with big data tools/environment to automate production pipelines
10. Familiarity with Azure Synapse and Snowflake
11. Experience with data visual analysis and BI tools (matplotlib  and Power BI)