Business Development Executive

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 

At Oracle Health, we’re building the future of healthcare

At Oracle Health, we’re building the future of healthcare—cloud-native healthcare solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work, enabling better patient care while ensuring accurate, timely reimbursement.

We are modernizing Electronic Health Record and Clinical Analytics systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden.

We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems.

You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery.

Responsibilities

Key Responsibilities

• Build and enhance data pipelines, ETL workflows, and transformations.
• Contribute to LLM/agent-based features and analytics use cases.
• Work with EHR/RCM datasets and support KPI/dashboard development.
• Learn and apply best practices in cloud, data engineering, and LLMOps.

Mandatory Qualifications

• BS/MS in Computer Science or equivalent.
• 4+ years of relevant software engineering experience.
• Strong software engineering skills in Python/Java.
• Strong knowledge of SQL.
• Deep expertise in data engineering: ETL, data transformation, data modelling (Spark, SQL), hands-on experience in BI.
• Experience building high-scale distributed data systems.
• Cloud experience (OCI/AWS/Azure).
• Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
• Experience with collaborating across multiple functional areas to develop components that are part of a larger system.
• Experience with LLMs, prompt engineering, and agent frameworks.
• Experience with blending hands-on coding with smart adoption of AI-driven solutions to rapidly prototype, test, iterate, and deliver reliable code.
• Experience using ChatGPT, Claude, or similar models on a routine basis to improve productivity.

Preferred Qualifications

• Experience with agentic architectures or GenAI platforms.
• Background in healthcare or digital health systems.
• Understanding of EHR systems and RCM workflows.
• Familiarity with healthcare coding standards (ICD/CPT).

Roles and Responsibilities

• Actively prospect and acquire new clients through various sales and marketing techniques, including cold calling, networking, and referrals.
• Build and maintain strong relationships with clients to understand their trading needs and provide tailored investment solutions.
• Execute trades on behalf of clients and ensure timely and accurate order execution.
• Stay updated on market trends, economic indicators, and geopolitical events to provide clients with informed trading recommendations.
• Collaborate with the research and analysis team to develop market insights and trading strategies.
• Provide exceptional customer service and support to clients throughout the trading process.
• Meet and exceed sales targets and performance metrics.

Desired Candidate Profile

• Bachelor's degree in Finance, Business, Economics, or a related field.
• Proven track record of success in client acquisition and sales within the financial services industry, preferably in FX trading.
• Strong understanding of financial markets, trading instruments, and risk management principles.
• Excellent communication, negotiation, and interpersonal skills.
• Ability to thrive in a fast-paced, competitive environment.

Perks and Benefits

• Desired Incentives.
• Overseas Trip by Company.
• Monthly Contest & Trophies.
• Quarterly and Annual Rewards and Recognition.

About Company

Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.

Roles & responsibilities

• Onboarding, Handling, and Managing HNI / Ultra HNI clients.

• Accountable to achieve Annual revenue, AUM & Strategic product targets in the respective geography. 

• Aiming for consistent growth of customer wallet share and book size.

• Advising and meeting clients on their business and investment needs based on their risk appetite and performance objective through various structuring solutions.

• Constantly review client portfolios and give a bird’s eye view.

• Ability to work in partnership with Federal Bank and drive leads & AUM.

• Service existing clients with the support of the client servicing team

• Adherence to all regulatory, statutory, and corporate compliance standards 

Requirements

• 8+ years of experience in the Wealth Management space

• Must have completed an MBA from a premier business school.

• Should have a sound understanding of Wealth Management Products (MF, Bonds, PMS, AIFs, PE, etc.) & markets.

• English is mandatory and command of the local language would be beneficial. 

• Ability to work in tandem with our channel partner and generate leads & business. 

• Good communication and presentation skills

SEO job at Sugam Groups where we can get nice experience and exposure and a candidate can learn many new things.

Position : Senior Java Backend Developer

Job Location: Navi Mumbai / Bangalore / Hyderabad / Pune

Job Description :

At least 5 years of professional experience in developing backend applications using Java

- Proficiency in using Spring Boot, Hibernate, RESTful APIs, microservices and other modern web technologies

- Experience in working with relational and non-relational databases such as MySQL, MongoDB, Redis etc.

- Exp on Azure Cloud.

- Experience in using DevOps tools such as Docker, Jenkins etc.

- Knowledge of GraphQL and how to use it with Java

- Knowledge of best practices and principles of software engineering such as SOLID, design patterns, code quality, testing etc.

- Familiarity with agile methodologies such as Scrum or Kanban

- Ability to work independently and as part of a team

- Excellent communication and problem-solving skills

Staff Engineer (Hybris)

Experience- 5.5- 9 years

Location- Remote (Anywhere in India)

 We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.

REQUIREMENTS:

• Experience with Hybris 6.x with knowledge of HYBRIS -B2B-ACCELERATOR, Hybris back-office, Hybris Frontend WCMS cockpit, product cockpit, Hybris, Hybris core, Hybris Commerce, Hybris Search, Hybris OCC, Slor Customization
• Experience working on core Java, Spring Core, Spring MVC, Unit testing.
• Strong experience in SAP Spartacus or Rule engine and promotions or SAP Commerce Accelerator Storefront
• Knowledge of one or more modules HYBRIS-PIM, HYBRIS-PROMOTIONS, HYBRIS-OMS, HYBRIS -TRAVEL-ACCELERATOR
• Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment
• Fundamental knowledge of design patterns
• Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
• Passionate about building great solutions
• Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery
• Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios

RESPONSIBILITIES:

• Analysing the project’s requirements and the ability to convert said requirements into technical documents, design and code
• Implementing design methodologies and tool sets
• Writing well-designed, defect free code which scales well and follows all best practices and guidelines
• Executing the development of software with a strong focus on the security, performance, and robustness.
• Conducting deep level analysis to identify root cause to systematically resolve issues
• Following all defined software configuration management best practices
• Reviewing code to identify issues as well as deviations from best practices
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement.