Technical Architect

Dear Candidate,

We have an urgent requirement for Technical Support Engineer at Bhopal Location.

Experience: 2-4 yrs

Location: Bhopal, MP

Work Mode : WFO only

CTC: Best in Industry (25% Hike on Current ctc not the offered one)

Education: UG: Any Graduate PG: Any Postgraduate

Department : Product Support

Designation: Technical Support Engineer

Notice Periods: Immediate to 15 days Joiner

Priority: Only Males (1 Sr and 2 Jr)

Job Description: CPaas - Product operations(1 Technical Project Manager + 2 CPaaS).

Best Regards,

Minakshi Soni

Executive - Talent Acquisition (L2)

Worldwide Locations: USA | HK | IN 

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Experience – 8 – 10 years

Location - NCR

Roles and Responsibilities:

System Analyst

The individual in this role will gather, document, and analyze client functional, transactional, and insurance business requirements across all insurance functions and third-party integrations. System Analyst will also work within a cross-functional project team to provide business analytical support and leadership from the business side.  The individual will play a highly visible, client-facing, and the consultative role and have the ability to offer system solutions to enhance client implementations and transform client workflow and business processes. Individual should be very good in mapping business functions / attributes with the Insurance rules and data.

Skills Required:

• A successful candidate in this role must:
• Good hands-on skills in Oracle, PL/SQL, TSQL
• Object oriented knowledge should be good
• Have Functional knowledge on P & C
• Overall Tech - 60% and Functional - 40%

Primary Skills:

• Good Data Mapping knowledge, RDBMS / SQL Knowledge

Secondary Skills:

• Oracle Big+

• Strong in both Core and Apps side.
• Strong in Apps DBA areas, R12.1, R12.2, Cloning, Patching, Multinode, DMZ, Troubleshooting, Concurrent Manager, Sysadmin Activities 
• Strong in Core BDA areas , Architecture, Installation, Cloning, Patching, Performance Tuning, Standby , DG, RAC, OEM, Upgrade, Migration,Troubleshooting, Replication tool 
• Should be flexible for timng

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

We are hiring a  Flutter developer to engineer applications that will run across Android, iOS, and the web. We are looking for someone passionate about performance, reliability, and design with the experience and credentials to back up that passion. Someone who can take ownership of applications, solve technical challenges and take pride in their solutions and code.

The ideal candidate will have experience building native applications, JavaScript knowledge, and a portfolio of applications already published either in the app store or self-hosted.

You’ll be a key member of the team tasked with contributing to a number of high-value projects within Marj Technologies.

Qualifications

• Have two or more iOS/Android apps developed with Flutter. Either deployed on the AppStore/Google Play or available on Github.

• Over one year of experience with developing Flutter applications for mobile and web.

• Experience with third-party libraries and APIs.

• Understanding of the Agile development life-cycle.

• Experience with automated testing and building.

• Experience with Git and Github.

• Proven experience in writing readable code, creating extensive documentation for

  existing code and refactoring previously written code.

• Well-versed with Flutter Null Safety and Bloc architecture.

• Good communication & Problem-solving skills.

Job Description

• Design & implement backend APIs
• Mentor junior developers technically.
• Actively work to reduce tech debt in the backend
• Work towards more stability & scalability of the backend
• Tech stack - Java, AWS etc. 

Eligibility

• 2-8 years of product company experience
• Advanced understanding of AWS stack
• Prior knowledge of solving problems at scale.