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About Company
Tudip Technologies Pvt. Ltd is a CMMI Level 5 extreme technology company. Careers at Tudip Technologies are not just jobs, but a promise of a bright and dynamic future. Tudip provides ample opportunities to grow within the company technically as well as a technocrat by promoting entrepreneurship. Tudip Technologies’ careers will enable you to help clients enhance and improve while you build your career. We are a place which defines Integrity, Innovation, and Serenity. Tudip provides you a better platform that transforms an individual into an experienced and immensely skilled professional through an ethical and vibrant business environment. We are here for effective client servicing, taking care of our employees’ needs, and creating a success story to remember.
Position Summary
We are seeking a creative and detail-oriented Instructional Designer to design and develop engaging learning experiences that improve employee or customer performance. The ideal candidate will possess a strong understanding of instructional design models, adult learning principles, and digital learning tools to create impactful eLearning, instructor-led training (ILT), and blended learning programs.
Key Responsibilities
- Analyze learning needs and identify learning objectives through collaboration with subject matter experts (SMEs) and stakeholders.
- Design instructional materials including storyboards, eLearning modules, ILT guides, job aids, and assessments.
- Develop content using authoring tools such as Articulate Storyline, Adobe Captivate, or similar.
- Implement learning solutions using Learning Management Systems (LMS) like Moodle, Cornerstone, Workday, or TalentLMS.
- Apply instructional design theories (ADDIE, SAM, Bloom’s Taxonomy, etc.) to optimize learning effectiveness.
- Create engaging and interactive training materials that cater to various learning styles.
- Evaluate training effectiveness through feedback, assessments, and performance metrics.
- Maintain version control and ensure content accuracy and consistency.
- Stay current with trends in learning technologies and instructional design best practices.
Required Skills & Qualifications
Education & Experience:
- Bachelor’s degree in Instructional Design, Education, Human Resources, or a related field (Master’s preferred).
- 5+ years of experience in instructional design or curriculum development.
Skills:
- Proficiency in eLearning authoring tools (e.g., Articulate Storyline, Rise, Captivate, Camtasia).
- Familiarity with LMS platforms and SCORM/AICC/xAPI standards.
- Strong written and verbal communication skills.
- Ability to manage multiple projects and meet deadlines.
- Visual design skills and experience with graphic design tools (e.g., Adobe Creative Suite) are a plus.
- Experience with video editing and multimedia production is a bonus.
Job Description:
- Experience in Core Java 5.0 and above, CXF, Spring.
- Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
- Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
- Good development experience with RDBMS, preferably Sybase database.
- Good knowledge of multi-threading and high-volume server-side development.
- Experience in sales and trading platforms in investment banking/capital markets.
- Basic working knowledge of Unix/Linux.
- Excellent problem solving and coding skills in Java.
- Strong interpersonal, communication and analytical skills.
- Should have the ability to express their design ideas and thoughts.
Job Description:
Position: Senior Data Engineer
Location: Chennai / Pune / Bangalore / Hyderabad
Working Type: WFO
Shift: UK Shift (2:00 – 11:00 PM)
Experience : 7+ years overall
Interviews: Assessment || 2 Interview rounds.
Notice Period: Immediate Joiner
Key Responsibilities
Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.
Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.)
Manage large-volume ingestion and backfill operations
Implement Bronze to Silver transformation pipelines
Develop incremental load and CDC logic
Optimize Lakehouse performance and storage patterns
Implement monitoring (record counts, load duration, failure tracking)
Support Dev/Test/Prod promotion processes
Required Qualifications
7+ years of data engineering experience
Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory
Strong experience with Fivetran or similar ELT tools
Experience handling high-volume datasets (hundreds of millions of records)
Proficiency in SQL, Python, and data modeling concepts
Strong understanding of Medallion architecture.
We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.
KEY RESPONSIBILITIES
End-to-End ML Development
• Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.
• Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.
• Validate model performance using appropriate statistical techniques and domain knowledge.
MLOps & Production Deployment
• Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.
• Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.
• Ensure model reliability, observability, and performance in live production environments.
Language Models & LLM Applications
• Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.
• Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.
• Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.
• Support exploratory work around LLM integration and prompt engineering for internal tooling.
Domain-Driven Analytics
• Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.
• Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.
• Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.
REQUIRED QUALIFICATIONS
Education
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.
Experience
• 2–4 years of hands-on experience in a data science or machine learning role.
• Demonstrable experience deploying ML models in production environments (not just prototyping).
Technical Skills
• Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).
• Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.
• Hands-on experience with BERT-family models and Hugging Face Transformers library.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.
• Solid understanding of SQL and working with large structured/unstructured datasets.
• Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).
GOOD TO HAVE
• Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).
• Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.
• Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.
• Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).
• Contributions to open-source ML projects or published research.
THIS ROLE IS NOT FOR YOU IF…
• You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.
• Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.

consulting & implementation services in the area of Oil & Gas, Mining and Manufacturing Industry
- Data Engineer
Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark
CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
- Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
- Define process improvement opportunities to optimize data collection, insights and displays.
- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Key participant in regular Scrum ceremonies with the agile teams
- Proficient at developing queries, writing reports and presenting findings
- Mentor junior members and bring best industry practices
QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
- Data visualization (e.g. Tableau, Looker, MicroStrategy)
- Comfortable learning about and deploying new technologies and tools.
- Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
- Good written and oral communication skills and ability to present results to non-technical audiences
- Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
- AWS certification
- Spark Streaming
- Kafka Streaming / Kafka Connect
- ELK Stack
- Cassandra / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

Global Digital Transformation Solutions Provider
Job Details
- Job Title: ML Engineer II - Aws, Aws Cloud
- Industry: Technology
- Domain - Information technology (IT)
- Experience Required: 6-12 years
- Employment Type: Full Time
- Job Location: Pune
- CTC Range: Best in Industry
Job Description:
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
Aws, Aws Cloud, Amazon Redshift, Eks
NP: Immediate – 30 Days
We are looking for a skilled and motivated React Developer with 5–8 years of hands-on experience to join our growing team in Chennai. The ideal candidate should have strong proficiency in front-end development using React.js, with a solid understanding of modern web technologies, best practices, and Agile methodologies. Experience with Ember.js is also required.
Key Responsibilities:
- Develop and maintain scalable web applications using React.js and Ember.js.
- Build reusable components and front-end libraries for future use.
- Translate UI/UX designs and wireframes into high-quality, responsive code.
- Optimize components for maximum performance across a wide range of devices and browsers.
- Collaborate closely with UI/UX designers, backend developers, and product managers.
- Participate in code reviews, testing, and debugging activities.
- Stay updated with the latest trends and best practices in front-end development.
Required Skills:
- Strong proficiency in JavaScript, HTML5, and CSS3.
- Hands-on experience with React.js, including Redux and React Hooks.
- Experience with Ember.js in production-grade applications.
- Familiarity with RESTful APIs and integrating frontend with backend services.
- Experience using front-end build tools and workflows (e.g., Webpack, Babel, NPM).
- Good understanding of version control systems like Git.
- Exposure to Agile development methodologies and practices.
Skill Requirements:
- At least 3 to 9 years experience of using .NET development
- Experience in using ASP.NET or .Net Core for developing Windows, Web applications
- A good understanding of WPF, WCF, XAML, MVVM, MVC, Design Patterns
- A good understanding of T-SQL, MS SQL
- A solid understanding of OOP principles
- A good understanding of N-tier and N-layered architecture
- Strong analytical skills
- Attention to detail
- Experience in working effectively as part of a team
- Good written and verbal communication skills
- Inter-personal skills
- A flexible approach and ability to adapt
- Ability to work under own initiative
Opportunity to work with a Silicon Valley based security and governance start-up.
About Privacera
Privacera, Inc is a California based start-up company that is looking for Senior Software Engineers to work out of our Mumbai/Pune based office. Privacera is a cloud-based product which uses Cloud native services in AWS, Azure and GCP. Privacera is a fast-growing start-up and provides ample opportunity work on all Cloud services like AWS S3, DynamoDB, Kinesis, RedShift, EMR, Azure ADLS, HDInsight, GCP GCS, GCP PubSub and other services.
We are looking for motivated individuals who are keen to work on Cloud or Big Data services or have worked on Cloud and Big Data. If you want to work in a start-up culture and are ready for the challenge, then join us on our exciting journey.
Responsibilities:
- Design, code and debug cloud-native applications.
- Evaluate and identify new technologies for implementation
- Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions
- Write well designed, testable, efficient code
- Develop software verification plans and quality assurance procedures
- Serve as a subject matter expert
Requirements:
-
5+ years of relevant experience in software development
-
Deep understanding of public cloud infrastructure (AWS, Azure or Google)
-
Experience with large scale distributed systems
-
Ability to troubleshoot distributed systems
-
Prior experience with data encryption, TLS/SSL is a strong plus
-
Experience with Docker and Kubernetes is a plus
-
Deep experience with Java
-
Excellent communication (writing, conversation, presentation) skills, consensus building, Quick learner
Good to have experience in Production support - Tier 4
Experience with these technologies are a plus: AWS, Microsoft Azure, Google Cloud, Cloudera, Snowflake, Mongo DB, Oracle, Databricks, Datastax, Confluent
Team Lead (L3 Technical Support)
Job Description
PierianDx, a leader in the clinical genomics space, is currently seeking talented and motivated technical leads to lead the product L3 technical support teams. As a Technical Lead for L3 team, your duties will primarily be working with the customer success department on technical issues including software system design and maintenance. You will also be involved in directing team members and identifying/managing risk in collaborations with other teams.
To be successful in this role, you will need to gain extensive knowledge of PierianDx products (includes user workflow, user needs, end-to-end workflow, product architecture and design), problem-solving skills, knowledge of best practices and the software development life-cycle.
Location: Pune
Education
- Bachelors or Masters of Computer Science or related
Total years of experience - 6 to 13
Required Experience
- Must have experience in leading technical small to medium size teams.
- Full-Stack Software Development experience in both front end and back end technologies.
- Should be an outstanding programmer with 5 to 8 years of experience in PierianDx product-related technologies (e.g. AWS, Java, Spring Boot, Hibernate, microservices, Node.JS, React/Angular, SQL as well as No-SQL Databases, basics of Linux, Shell Scripting)
- Strong computer science fundamentals (OO programming, algorithms, data structures, databases).
- Experience with continuous integration infrastructure for software development such as Jenkins.
- Soft skills: Good Communication, Active listening, Influencing, Challenge self and team Experience with SQL and No-SQL Databases
- Demonstrated interpersonal skills including communication, mentoring, coaching, and the ability to interact with colleagues at all levels
- Dynamic, energetic, motivated, positive outlook. Team player with good interpersonal skills
- Strong customer service and support focus with a desire to deliver a high-quality service
- Self-motivated and highly professional with the ability to lead and take ownership and responsibility
- Ability to multitask, work under pressure and to tight deadlines
- A desire to learn and improve skills and knowledge
- Adaptable and flexible to business demands
- Strong organisational and planning skill
Preferred Experince
- Experience in developing software for medical devices (ISO 13485/IEC 62304)
- Experience with any Cloud Platform like AWS, GCP or Azure.
- Experience with Docker and anyone Container Orchestration Platforms like EKS, ECS, EKR, Kubernetes, Docker Swarm.
- Experience using Test Driven Development processes
- Experience working with FrontEnd Technologies (HTML, CSS, Javascript)
- Experience with MongoDB
- Experience with at least one dynamically typed language (Python, Node.js, Groovy).
Responsibilities
- Take ownership of providing technical support to the customer success team (for the issues they could not resolve in L1/L2). Examine potential areas for Service Improvement and recommend solutions/proposals to Product Management
- Work with Customer Success management and be aware of implementation projects and timelines; coordinate with project/program managers to plan and support release activities.
- Interact with internal and cross teams to troubleshoot and resolve complex problems. Develop, coordinate and promote the effective functioning of problem management activities across all of Pieriandx product & customer success teams.
- Provide technical leadership - Lead and prioritize the Application/Technical Support team’s workload. Guide team members to troubleshoot & resolve technical issues including software system design and maintenance.
- Contribute to the planning of application/infrastructure releases and configuration changes. Provide input to application/infrastructure scalability
- Design appropriate metrics for reporting on key performance and quality indicators, particularly in terms of in-depth trend analysis
- Maintain application by regular monitoring, performance tuning and testing activities
- Ensure compliance with SDLC processes defined at organization level to meet quality goals set at product level. Ensure there are robust procedures and processes within the application support function remit.
- Stay up-to-date on product and process training required to create quality deliverables at each phase of product life-cycle. Follow appropriate departmental and company procedures and policies (i.e. change control, security and auditing, release, configuration, problem and incident management).
- Maintain good working relationships with internal departments
- Design, prepare and conduct training relating to Problem & Incident Management
- Provide timely and expert advice on emerging trends and issues affecting Service Delivery and Support. Develop strategies to allow Application Support to manage resultant problems
We at Zoop.one are looking for a technically savvy Customer Success executive who possesses a strong drive for results.
Duties for the Customer Success Executive will include a broad range of tasks such as maintaining ongoing customer relationships and networking, implementing success programs, contributing to sales, onboarding and training clients, and minimizing churn. You should also be able to provide insights on client-to-business interactions, improve customer experience through product support, and handle customer complaints and requests. You should be able to contribute to creating and maintaining good customer relationships and ensuring smooth onboarding.
Job Role:
Develop and manage client portfolios.
Sustain business growth and profitability by maximizing value.
Analyse customer data to improve customer experience.
Hold product demonstrations for customers.
Improve onboarding processes.
Mediate between clients and the organization.
Handle and resolve customer requests and complaints.
Minimize customer churn.
Aid in product design and product development.
Operate as the lead point of contact for all matters specific to our customers
Support and coordinate with the tech team to ensure seamless delivery to clients
What you’ll do:
Own the product knowledge base
Map customer journey and identify improvements at every stage
Maintain healthy customer engagement levels by identifying low utilization and providing solutions to further drive customer success
Develop a trusted advisor relationship with key customer stakeholders
Be the product champion, interpret customer insights to drive change in product and act as a voice of the customer to the Product team
Manage the Customer Success strategy for tracking and reporting on client health and reducing Customer Churn
Create and perform Monthly/Quarterly Business Reviews for ensuring customer retention and expansion - effectively delivering results to key stakeholders
Raise open issues with cross-functional teams and take ownership of resolving the issues in a timely manner
Constantly work towards providing innovative strategies for delivering customer delight
Engage with clients to understand the nuances of their work processes and the resulting needs and pain points.
Tools and Skills Required
Must Have:
Highly organized and able to multi-task.
Communication skills
Self-driven and proactive nature.
Excellent communication and interpersonal skills.
Experience in SAAS based product, CRM or ERP.
Knowledge of customer success processes.
Experience in document creation.
Patient and active listener.
Passion for service.
Have high proficiency in Microsoft Office (Excel, Word, PowerPoint)
Good to Have:
You should be passionate about engaging customers and expanding their use cases through our product
You have strong problem-solving skills and are great at finding creative solutions and workarounds when needed
You have good data analysis and data-driven decision-making skills
Strong project management skills
Experience:
3+ years proven track record in an enterprise account management role (Customer Success, Relationship Manager, etc.)
Strong Technical Background.
What’s attractive about us?
We offer a suite of memberships and subscriptions to spice up your lifestyle. We believe in practicing an ultimate work life balance and satisfaction. Working hard doesn’t mean clocking in extra hours, it means having a zeal to contribute the best of your talents. Our people culture helps us inculcate measures and benefits which help you feel confident and happy each day. Whether you’d like to skill up, go off the grid, attend your favourite events or be an epitome of fitness. We have you covered round and about.
- Health Memberships
- Sports Subscriptions
- Entertainment Subscriptions
- Key Conferences and Event Passes
- Learning Stipend
- Team Lunches and Parties
- Travel Reimbursements
- ESOPs
That’s what we think would bloom up your personal life, as a gesture for helping us with your talents.
Join us to be a part of our Exciting journey to Build one Digital Identity Platform!!!




