NLP ENGINEER

Job Title: Accounts Manager

Experience : 2 to 7 years

Location : Goregaon

Job Summary:

We are looking for a detail-oriented and proactive Accounts Manager to handle client payments, invoicing, and coordination with clients and internal teams. The role also involves working closely on brand-related activities to ensure smooth financial and operational processes.

Key Responsibilities:

Manage and track client payments, ensuring timely collections and follow-ups

Prepare and process client invoices accurately

Handle end-to-end client coordination regarding billing, payments, and account queries

Collaborate with internal teams for brand-related coordination and financial alignment

Maintain records of transactions, invoices, and payment status

Reconcile accounts and resolve discrepancies

Ensure compliance with company policies and financial procedures

Generate periodic reports on receivables and payment status

Required Skills & Qualifications:

Strong knowledge of accounting principles and invoicing

Good communication skills for client coordination

Ability to manage multiple accounts and deadlines

Proficiency in MS Excel and accounting software (Tally or similar)

Attention to detail and problem-solving skills

Experience in handling client servicing/brand coordination is a plus

Experience:

2–5 years in Accounts / Finance / Client Coordination role

Key Skills:

Client Payment Management

Invoicing & Billing

Client Coordination

Brand/Project Coordination

Accounts Reconciliation

Communication & Follow-ups

Machine Learning Engineer (For client company)

Location: Bengaluru, India (Hybrid/Onsite)

Experience: 3–4 years

The Role

We are looking for a Machine Learning Engineer to build and productionize models that power fall detection, vitals monitoring, and predictive health insights from radar sensor data.

You will work closely with hardware, data engineering, backend, and product teams to improve model accuracy, reduce false alarms, and deploy reliable ML systems into production.

This role is ideal for someone with strong classical machine learning fundamentals who is comfortable working with messy real-world sensor data and writing clean, production-grade code.

What You'll Do

• Build and optimize classical ML models such as XGBoost, ensemble models, anomaly detection, and time-series models for fall detection, vitals monitoring, and health risk scoring.
• Engineer features from raw, sparse, and noisy radar signals, point-cloud data, and time-series sensor streams.
• Contribute to computer vision-adjacent problems such as pose estimation, movement analysis, skeleton tracking, and activity recognition using radar data.
• Build training, evaluation, and inference pipelines using Databricks.
• Perform exploratory data analysis on resident, device, alert, and facility-level datasets to identify trends, edge cases, and opportunities for model improvement.
• Define and own model evaluation metrics for safety-critical systems, including:
• Precision
• Recall
• Sensitivity
• Specificity
• False alarm rate
• Missed event rate
• Detection latency
• Analyze production model performance across facilities, residents, devices, and time periods.
• Handle noisy real-world datasets, including:
• Missing values
• Label quality issues
• Device variability
• Sparse event data
• Facility-specific patterns
• Write clean, modular, well-tested Python code for feature engineering, model training, evaluation, and inference.
• Deploy, monitor, and continuously improve production ML models.
• Collaborate with hardware and data engineering teams to improve data quality, labeling, observability, and model reliability.

What We're Looking For

• 3–4 years of experience building and deploying machine learning systems in production.
• Strong Python programming skills with the ability to write maintainable, testable, production-grade code.
• Strong understanding of classical machine learning concepts, including:
• Feature engineering
• Model training
• Cross-validation
• Error analysis
• Model evaluation
• Hands-on experience with algorithms such as:
• XGBoost
• Random Forests
• Gradient Boosting
• Ensemble methods
• Anomaly Detection
• Time-series models
• Strong SQL skills with experience analyzing large datasets using SQL, PySpark, Pandas, or Databricks.
• Experience working with time-series, sensor, spatial, point-cloud, IoT, or computer vision-style datasets.
• Familiarity with modern data engineering workflows using Databricks, Apache Spark, Delta Lake, or similar platforms.
• Strong debugging and analytical skills with the ability to diagnose issues across data pipelines, models, and production systems.
• Comfortable working in a fast-moving startup environment with ambiguity.
• Strong ownership mindset with the ability to take ML models from experimentation through production deployment.

Good to Have

• Experience in HealthTech, IoT, radar sensing, wearables, ambient monitoring, or safety-critical systems.

Exposure to:

• Computer Vision
• Pose Estimation
• Skeleton Tracking
• Object Tracking
• Spatial Data Processing
• Experience with:
• MLflow
• Model Registry
• Feature Stores
• Experiment Tracking
• Model Monitoring
• Experience with:
• ONNX
• Model Quantization
• Edge Deployment
• Latency Optimization
• Resource-Constrained Inference
• Familiarity with real-time data pipelines using:
• Kafka
• Spark Structured Streaming
• Streaming inference architectures 

Job Description:      

Min 2 to 4 Years of experience in C# and ASP.NET, Web application development.

Knowledge about cloud programming or migration to cloud is preferred.

 Mandatory skills:

• Proficient in Web Application development using ASP.NET, C# with .Net version 4.0/ 4.5.
• Experience with SQL Server or any other equivalent Database and know how to build efficient queries.
• Strong knowledge on jQuery, AJAX, JavaScript, HTML5, CSS3 and Bootstrap.
• Experience in debugging in multiple browsers.
• Strong understanding of object-oriented programming.
• Clear understanding of SVN or an equivalent VCS.
• Familiar with IIS and deploying code to Web Server.
• Should have excellent analytical and communication skills.

 Responsibilities:

• Good hands on designing, coding, debugging, technical problem solving, and writing Unit Test cases, etc.
• Translate use cases into functional applications
• Design, build, and maintain efficient, reusable, and reliable C# code
• Ensure the best possible performance, quality, and responsiveness of applications
• Help maintain code quality
• Able to work well in a team setting

 Academic Qualifications Required:

•  B.E. / B.Tech. /MSC in Computer Science or IT./

  M.C.A

Job Role:

As a senior R&D Java Engineer, you will work in a highly collaborative, dynamic environment. Your work will impact a lot to make world bit safer place. You’ll design creative solutions to problems faced by companies due to cyber attacks. You will work closely with other partners such as product and pre-sales managers, UI developers, and other software engineers to develop new product offerings and improve the efficiency of the solution.

Responsibilities:

• Develop, modify, and implement, the software components of Nimesa Product.
• Assist QA Engineers with the creation and review of the test cases
• Write junits and test automation if anything required to have the coverage
• Assist other Engineers with the creation of detailed software design specifications.
• Keep an eye out for technology trends, and open-source projects that can be used.

Requirements:

• Bachelor's or Master's degree in computer science or relevant fields.
• At least 3+ years experience in end-end software development for large design and coordinating project teams in the SaaS industry.
• Software development experience with Java and Spring / Springboot, RabbitMQ, MYSQL etc
• Must have worked on fairly complex products from scratch
• Strong knowledge of data structure, multithreading and other comp science concepts (SQL or NoSQL)
• Excellent social and communication skills
• Demonstrated expertise in building Web Applications, Enterprise Applications, Web Services, and Management at scale is a requirement.
• Experience with Design patterns
• Knowledge of cloud-based architectures, deployment and operational aspects of Amazon Web Services cloud

• At least 5 year of experience in Cloud technologies-AWS and Azure and developing. 
• Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
• Hands on experience in DevOps tools configuration in different environments.
• Strong knowledge of working with DevOps design patterns, processes and best practices
• Hand-on experience in Setting up Build pipelines.
• Prior working experience in system administration or architecture in Windows or Linux.
• Must have experience in GIT (BitBucket, GitHub, GitLab)
• Hands-on experience on Jenkins pipeline scripting.
• Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
• Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
• Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
• Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
• Good to have experience in migrating code repositories from one source control to another.
• Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
• Must have good communication skills and problem solving skills

Qualification: B.com / BBA / MBA / 1-2 years of Experience in sales and marketing 

Skills: Excellent Communication and Writing skills in both English & Tamil, Spontaneous Mindset, Wide Knowledge about Sale &  Marketing , Social Skills and Technical knowledge, Anger & Stress management skills.

Salary: As per Industrial standard 

Designation    : Java Developer

Experience      : 3 - 10 Yrs

Location           : Baner, Pune

• Strong at Core Java and OOPs concepts
• Exposure to Spring, Spring Boot and Spring Security

• Exposure to implementation of RESTful APIs
• Exposure to programming using Queues and No SQL database
• Good understanding about JavaScript, JQuery and HTML
• Good understanding about Data Structures and Multithreaded Programming
• Good understanding about Design Patterns