UX Designer

Want to work on exciting GenAI projects for Fortune 500 companies across multiple sectors? Then read on..

About Company:

CSG is a multi-national company having a presence in 20 countries with 1600+ Engineers. Company works with more than 40 Fortune 500 customers such as Sony, Samsung, ABB, Thyssenkrup, Toyota, Mitsubishi and many more.

Job Description:

We are looking for a talented Generative AI Developer to join our dynamic AI/ML team. This position offers an exciting opportunity to leverage cutting-edge Generative AI (GenAI) technologies to drive innovation to solve real world problems. You will be responsible for developing and optimizing GenAI-based applications, implementing advanced techniques like Retrieval-Augmented Generation (RAG), RIG (Retrieval Interleaved Generation), Agentic Frameworks and vector databases. This is a collaborative role where you will work directly with customers cross-functional teams to design, implement, and optimize AI-driven solutions. Exposure to cloud-native AI platforms such as Amazon Bedrock and Microsoft Azure OpenAI is highly desirable.

Key Responsibilities

Generative AI Application Development:

Design, develop, and deploy GenAI-driven applications to address complex industrial challenges.

Implement Retrieval-Augmented Generation (RAG) and Agentic frameworks

Data Management & Optimization:

Design and optimize document chunking strategies tailored to specific datasets and use cases.

Build, manage, and optimize data embeddings for high-performance similarity searches across vector databases.

Collaboration & Integration:

Work closely with data engineers and scientists to integrate AI solutions into existing pipelines.

Collaborate with cross-functional teams to ensure seamless AI implementation.

Cloud & AI Platform Utilization:

Explore and implement best practices for utilizing cloud-native AI platforms, such as Amazon Bedrock and Azure OpenAI, to enhance solution delivery.

Continuous Learning & Innovation:

Stay updated with the latest trends and emerging technologies in the GenAI and AI/ML fields, ensuring our solutions remain cutting-edge.

Requirements:

The ideal candidate will have strong experience in Generative AI technologies, particularly in the areas of RAG, document chunking, and vector database management. They will be able to quickly adapt to evolving AI frameworks and leverage cloud-native platforms to create efficient, scalable solutions. You will be working in a fast-paced and collaborative environment, where innovation and the ability to learn and grow are key to success.

- 3 to 5 years of overall experience in software development, with 3 years focused on AI/ML.

- Minimum 2 years of experience specifically working with Generative AI (GenAI) technologies.

- Python, PySpark and SQL knowledge is necessary for tasks

- Proven ability to work in a collaborative, fast-paced, and innovative environment.

Technical Skills:

- Generative AI Frameworks & Technologies:

- Expertise in Generative AI frameworks, including prompt engineering, fine-tuning, and few-shot learning.

- Familiarity with frameworks such as T5 (Text-to-Text Transfer Transformation), LangChain, Lang Graph, Open-source tech stalk Ollama, Mistral, DeepSeek.

- Strong knowledge of Retrieval-Augmented Generation (RAG) for combining LLMs with external data retrieval systems.

Data Management:

- Experience in designing chunking strategies for different datasets.

- Expertise in data embedding techniques and experience with vector databases like Pinecone, ChromaDB etc

- Programming & AI/ML Libraries:

- Strong programming skills in Python.

- Experience with AI/ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.

Cloud Platforms & Integration:

- Familiarity with cloud services for AI/ML workloads (AWS, Azure).

- Experience with API integration for AI services and building scalable applications.

- Certifications (Optional but Desirable):

- Certification in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning Specialty).

- Certification or coursework in Generative AI or related technologies.

Supercharge Your Career as a Oracle Integration Cloud (OIC) Developer at Technoidentity!

Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech

domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark!

What’s in it for You?

We are seeking an experienced Oracle Integration Cloud (OIC) Developer to design, develop,and implement integrations and reporting solutions across Oracle Cloud and third-party

systems. This role requires strong hands-on expertise in Oracle middleware, BI Publisher, OTBI, and VBCS, with the ability to work collaboratively with business, functional, and technical teams in a fast-paced, global environment

What Will You Be Doing?

• Design and build integrations using Oracle Integration Cloud (OIC) to meet business and application requirements.

• Configure and deploy Oracle middleware solutions aligned with functional and technical design specifications.

• Develop technical specification documents based on Functional Design Documents (FDDs).

• Collaborate with business and functional teams to translate requirements into technical solutions and detailed test cases.

• Build BI Publisher reports, reconciliation reports, and drill-down dashboards to support analytical and operational needs.

• Develop OTBI reports and infolets for ad hoc analytics and performance tracking.

• Create and enhance VBCS applications and APEX web pages for effective data management by business users.

• Perform unit testing, system testing, and support QA processes to ensure robust, high-quality deliverables.

• Participate in design discussions to understand end-to-end business processes and continuously enhance technical capabilities.

What Makes You the Perfect Fit?

• 5–8 years of overall experience with Oracle middleware, including 3+ years hands-on

with Oracle Integration Cloud (OIC).

• Proven experience integrating Oracle ERP Cloud / E-Business Suite with third-party

applications.

• Strong proficiency in OIC, SQL, PL/SQL, Web Services (SOAP, REST), JSON/XML,

and XSLT processing.

• Hands-on experience in VBCS (Visual Builder Cloud Service) — mandatory.

• Expertise in Oracle BI Publisher (data models, templates, XSLT/RTF layouts, bursting,

and advanced report capabilities).

• Experience building OTBI reports, dashboards, and infolets.

• Familiarity with Oracle PaaS architecture, cloud security concepts, and SaaS

integrations (e.g., Oracle ERP Cloud, Workday).

• Experience with CI/CD pipelines using Jenkins, GitHub, and JIRA.

• Strong communication and interpersonal skills for cross-functional collaboration.

• Bachelor’s or Master’s degree in Engineering, Computer Applications, or a related

discipline.

Additional Details

• Shift: Night shift (aligned to US PST time zone).

• Work Mode: Remote (India-based).

• Engagement: Full-time

About the Role:

We are looking for an experienced and imaginative Generative AI Architect & Engineer to lead, design, and build cutting-edge solutions using Large Language Models (LLMs) such as OpenAI’s GPT-4/5, Google Gemini, Meta’s LLaMA, and Anthropic Claude. You will spearhead the development of a corporate-wide GenAI platform that harnesses proprietary enterprise knowledge and empowers sales, operations, and other departments with instant, contextual insights, guidance, and automation.

As the GenAI leader, you will be responsible for building scalable pipelines, integrating enterprise content repositories, fine-tuning or adapting foundational models, and creating secure and intuitive access patterns for business teams. You are passionate about creating highly usable solutions that solve real-world problems, and are fluent across architecture, implementation, and MLOps best practices.

Key Responsibilities:

• Architect and implement an end-to-end GenAI solution leveraging LLMs to serve as a contextual assistant across multiple business units.
• Develop pipelines to ingest, clean, and index enterprise knowledge (documents, wikis, CRM, chat transcripts, etc.) using RAG (Retrieval-Augmented Generation) patterns and vector databases.
• Lead fine-tuning, prompt engineering, and evaluation of LLMs, adapting open-source or commercial models to enterprise needs.
• Design a secure, scalable, API-first microservice platform, including middleware and access control, integrated into corporate systems.
• Work closely with sales, operations, and customer support teams to gather use cases and translate them into impactful GenAI features.
• Drive experimentation and benchmarking to evaluate various open and closed LLMs (OpenAI, Claude, Gemini, LLaMA, Mistral, etc.) for best performance and cost-efficiency.
• Collaborate with DevOps teams to enable MLOps workflows, CI/CD pipelines, versioning, and A/B testing for AI models.
• Contribute to technical documentation, best practices, and internal knowledge sharing.

Key Qualifications:

• 4–5+ years of hands-on experience in AI/ML product development or applied research.
• Demonstrated experience working with LLMs (OpenAI, LLaMA, Claude, Gemini, Mistral, etc.) and RAG pipelines, including vector search (FAISS, Weaviate, Pinecone, Chroma, etc.).
• Strong Python skills and experience with frameworks such as LangChain, LlamaIndex, Transformers, Ray, HuggingFace, or equivalent.
• Deep understanding of NLP, model fine-tuning, embeddings, tokenization, and content ingestion pipelines.
• Exposure to enterprise content systems (e.g., SharePoint, Confluence, Salesforce, internal wikis, etc.) and integrating with them securely.
• Solid foundation in software architecture, microservices, API design, and cloud deployments (Azure, AWS, or GCP).
• Experience with security, RBAC, and compliance practices in enterprise-grade solutions.
• Ability to lead projects independently and mentor junior engineers or data scientists.

How to Apply:

Submit your resume and a short technical project summary or portfolio (GitHub, Hugging Face, blog posts)

Requirements

Experience

• 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
• Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
• Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
• Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
• Experience with GPU computing to do data and model training parallelism.
• Solid software engineering skills in developing systems for production.
• Strong expertise in Python.
• Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
• Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
• Having Geospatial / Remote sensing experience is a plus.

Roles and Responsibilities: 

▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure 

Data Factory, Data Factory & Azure Synapse Analytics. 

▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client 

facing exp.

· Finance/Insurance experience is also a must. 

▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for 

structured/unstructured data. 

▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage 

databases. · Python Automation: Develop scripts for data processing, automation, and 

integration using Python (Pandas, NumPy). 

Technical Skills: 

▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to 

have) 

▪ Knowledge of Python, Pyspark, SQL, ETL concepts 

▪ Good understanding of Insurance Operations and KPI reporting is an advantage. 

Job description:

We are looking for a highly motivated and experienced Category Manager to join our dynamic team at a leading pregnancy, fertility, and parenting startup. As a Category Manager, you will play a crucial role in managing and scaling the fertility/pre-conception vertical.

You will be responsible for driving growth, developing strategic initiatives, product/service design and leading cross-functional teams to achieve business objectives. The ideal candidate will have a strong background in customer roles, strategy implementation in startups, and team leadership, and possess a deep interest in both technology and healthcare.

Responsibilities:

1. Manage and Scale Fertility/Pre-conception Vertical:

a. Develop and execute strategies to drive growth in the fertility and pre-conception category.

b. Identify new opportunities and market trends to expand the product and service offerings.

2. Handling Cross-Functional Team Leadership:

a. Lead and inspire cross-functional teams to achieve common objectives related to the fertility category. b. Collaborate with various teams, such as product development, marketing, and operations, to ensure seamless execution of initiatives.

3. Stakeholder Management:

a. Communicate effectively with internal and external stakeholders to align them with category goals.

b. Stay updated with the latest technological advancements in the fertility and healthcare industry.

Job Description:

Proven experience as a Java Developer with a strong understanding of Java and its ecosystems.

Proficient in Spring Framework (Spring Boot, Spring MVC, Spring Data).

Experience with web application development using technologies such as HTML, CSS, and JavaScript.

Knowledge of relational databases (e.g., MySQL, PostgreSQL) and ORM frameworks (e.g., Hibernate).

Familiarity with build tools such as Maven or Gradle.

Understanding of software development life cycle (SDLC) and agile methodologies.

Excellent problem-solving and debugging skills.

Experience with microservices architecture.

Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Candidate should also have some App development experience in cloud infra. Like familiarity with Docker, Helm Charts, Kubernetes or AWS/Azure k8s infra.

Candidate should have some App development experience in at least one No-SQL Database also (like MongoDB or Cassandra or Redis) apart from RDBMS.

We're seeking skilled front-end developers tasked with creating user-friendly experiences. Working closely with back-end developers, your focus will be on crafting visually appealing layouts, enhancing user interface/interaction, and optimizing overall user experience.

Key Skills Required:

1. Proficiency in HTML, CSS, and JavaScript.
2. Experience with modern front-end frameworks such as React, Angular, or Vue.js.
3. Collaborative mindset to work seamlessly with back-end developers and cross-functional teams.
4. Strong understanding of responsive design principles for various devices and browsers.
5. Knowledge of UI/UX best practices and a keen eye for design aesthetics.
6. Familiarity with version control systems, such as Git.
7. Problem-solving skills and the ability to troubleshoot issues efficiently.
8. Awareness of web performance optimization techniques.
9. Excellent communication and teamwork abilities.
10. Continuous learning mindset to stay updated with the latest industry trends and technologies.

LogiNext is looking for a target oriented and enthusiastic technology recruiter who has a successful record in closing the perfect candidate for a job role. With an eye for the right talent, you will be a part of the end-to-end recruitment cycle driving hiring results and closures. 

You have experience in technology recruitment with a proven track record in a SaaS product company. You are a master in analysing the appropriate skills, building a strong recruitment pipeline and bringing them to closure.

Responsibilities   

• Handle end to end recruitment cycle for the open positions 
• Coordinate with the hiring managers to understand the skill-set required, create a job description, develop a recruitment plan and execute it
• Screen the profiles of inbound candidates and search profiles through various job portals to hunt for the best candidates
• Coordinate with hiring managers to schedule telephonic and face-to-face interviews and follow up with the candidates
• Negotiate with the candidates on salaries and perks offered
• Create a pipeline of active candidates qualified for further interview rounds for the open positions and construct of strong network of passive candidates
• Represent LogiNext strongly to generate a genuine interest in the candidates and provide them complete and inspiring details of the position
• Log and record each-and-every outreach made, in the ATS and generate regular activity reports 

Requirements

• Bachelor’s or Master’s Degree in HR, Business Management, Statistics or related field
• 4 to 6 years of experience in technology recruitment with high success ratio
• Possessing good understanding of recruitment cycle in a product organization
• Good knowledge of enterprise technologies and SaaS market
• Experience in negotiating with recruitment and staffing agencies while handling the internal recruitment activity
• Good screening skills along with strong judgement on the behavioral skills to evaluate the candidate’s technical fitment and alignment with LogiNext’s cultural values
• Ability to take ownership, understand the requirements of positions and prosper in a fast-paced recruitment environment
• Extensive working knowledge of developing relationships with candidates and keeping them interested in LogiNext along with ability to generate leads to find the best of the candidates
• Excellent verbal and written communication skills and time management skills are essential
• Ability to manage and handle multiple requirements at a time efficiently
• Regularly keep oneself posted with the latest technologies