
- Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
- Implement data pipelines, new features, and algorithms that are critical to our production models
- Create scalable strategies to deploy and execute your models
- Write well designed, testable, efficient code
- Identify valuable data sources and automate collection processes.
- Undertake to preprocess of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
Requirements:
- 2+ years of experience in applied data science or engineering with a focus on machine learning
- Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
- strong quantitative and programming skills with a product-driven sensibility

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Role - IT Cloud Engineer/ Devops
- Proficient in Linux.
- Hands on experience with AWS cloud or Google Cloud.
- Knowledge of container technology like Docker.
- Expertise in scripting languages. (Shell scripting or Python scripting)
- Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.
Job Description:
The incumbent would be responsible for:
- Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
- Server monitoring, analysis and troubleshooting.
- Deploying multi-tier architectures using microservices.
- Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
- Automating workflow with python or shell scripting.
- CI and CD integration for application lifecycle management.
- Hosting and managing websites on Linux machines.
- Frontend, backend and database optimization.
- Protecting operations by keeping information confidential.
- Providing information by collecting, analyzing, summarizing development & service issues.
- Prepares & installs solutions by determining and designing system specifications, standards & programming.
Position: Lead Backend Engineer
Location: Remote
Experience: 10+ Years
Budget: 1.7 LPM
Employment Type: [Contract]
Required Skills & Qualifications:
- 10+ years of proven backend engineering experience.
- Strong proficiency in Python.
- Expertise in SQL (Postgres) and database optimization.
- Hands-on experience with OpenAI APIs.
- Strong command of FastAPI and microservices architecture.
- Solid knowledge of debugging, troubleshooting, and performance tuning.
Nice to Have:
- Experience with Agentic Systems or ability to quickly adopt them.
- Exposure to modern CI/CD pipelines, containerization (Docker/Kubernetes), and cloud platforms (AWS, Azure, or GCP).
Job Description – Executive Assistant to CEO
Role Overview
Looking for an organized and proactive Executive Assistant to support the CEO with daily operations, communication, scheduling, and coordination.
Key Responsibilities
Manage CEO’s calendar, appointments, reminders, and schedule prioritization
Draft, review, and manage emails and communication
Coordinate meetings, prepare agendas, and take minutes
Manage travel bookings, itineraries, and logistics
Maintain records, documents, and provide admin support
Handle occasional personal tasks for the CEO
Qualifications & Skills
Bachelor’s Degree; 4–5 years as EA/PA preferred
Strong communication, organization & multitasking skills
Proficiency in MS Office & Google Workspace
Professional, detail-oriented, and discreet
Working Days & Timings
6 Days Working, 2nd and 4th sat off
10:00 AM – 7:00 PM
Job profile details
Company Name : JNJ Technologies & Services
Job Timing : 10.00 AM – 7.00 PM
Job opening : HR Executive/Recruiter
Working Days : Monday to Saturday
Location : Remote
Qualification : Graduate/Diploma
Requirement : Laptop & Wi-Fi
Position : Full time
Experience : Any
Salary : 15,000 to 25,000 p/m
HR Roles & Responsibilities
To hire for all the open sales potions (BDMs, TLs, and BDAs)
Need to shortlist 8-10 candidates for final round of interview
To generate offer letters
To Achieve Retention targets
To provide quality candidate to the company
Responsibilities:
- Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
- Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
- Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
- Data science models testing, validation, and test automation.
- Communicate with a team of data scientists, data engineers, and architects, and document the processes.
Eligibility:
- Rich hands-on experience in writing object-oriented code using python
- Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
- Understanding of Data Structures, Data Systems, and software architecture
- Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )
SEO job at Sugam Groups where we can get nice experience and exposure and a candidate can learn many new things.
New Client Acquisition
Generating business
Creating and maintaining revenue portfolio
Handling end to end co-ordination at client side
As a Database developer, you will be responsible for designing, creating database, stored procedure, functions, ETL etc.
and upgrade of database that are leading the way in assuring high quality of data visualization and products. You will be
challenged with systematic database development methodologies in concurrent computing software architecture
environment. The engineer will have the opportunity to work with software developers and the site support engineer ona regular basis.
Job responsibilities:
• Development of high-quality database solutions.
• Develop, implement and optimize stored procedures and functions using T-SQL.
• Review and interpret ongoing business report requirements.
• Research required data.
• Build appropriate and useful reporting deliverables.
• Analyze existing SQL queries for performance improvements.
• Suggest new queries.
• Develop procedures and scripts for data migration.
• Provide timely scheduled management reporting.
• Investigate exceptions about asset movements.
Job requirements:
• Should understand operating system, relational database, concurrent computing, and client/server architecture
and mobile environment.
• Should have excellent problem solving and trouble shooting skills
• Should have ability to excel in cross functional team environment
• Should have experience in Cross-Platforms (Unix/Windows) application testing environment
• Should have excellent written and verbal communication skills in English
• Should have attention to detail, positive attitude under stress
• Design, plan, and develop programs to optimally extract, transform, and load data from data sources to the
target systems. Expert level knowledge of T-SQL, Stored Procedures, Data Modeling, Views, and Functions.
• Maintain source code for database
• Efficient in writing optimized SQL queries.
• Develop SQL scripts, table, views, indexes, and complex queries.
• Design & maintain the existing databases and ensure their stability, reliability, security and performance.
• Coordinate with software developers, review (and modify the queries if required) and approve the SQL queries
written by them for the production deployment.
• Strong knowledge in Database design, develop, test, implement, fine-tune, enhance and maintain new and existing databases.
Professional qualifications:
• 4 – 6 years of relevant experience
• Bachelor's degree in Computer Science, Engineering or a related subject.
• Excellent understanding of Microsoft SQL Server.
• 3-4 years of experience with SQL Server Reporting Services and SQL Server Analysis Services.
• Familiarity with the practical application of NoSQL\NewSQL databases.
• Sense of ownership and pride in your performance and its impact on company’s success.
• Critical thinker and problem-solving skills.
• Team player.
• Good time-management skills.
• Great interpersonal and communication skills












