Business Development Manager

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 DETAILS:

- Job Title: Senior Business Analyst

- Industry: Ride-hailing

- Experience: 4-7 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Data Visualization, Data Analysis, Strong in Python and SQL, Cross-Functional Communication & Stakeholder Management

Criteria:

1. Candidate must have 4–7 years of experience in analytics / business analytics roles.

2. Candidate must be currently based in Bangalore only (no relocation allowed).

3. Candidate must have hands-on experience with Python and SQL.

4. Candidate must have experience working with databases/APIs (Mongo, Presto, REST or similar).

5. Candidate must have experience building dashboards/visualizations (Tableau, Metabase or similar).

6. Candidate must be available for face-to-face interviews in Bangalore.

7. Candidate must have experience working closely with business, product, and operations teams.

Description

Job Responsibilities:

● Acquiring data from primary/secondary data sources like mongo/presto/Rest APIs.

● Candidate must have strong hands-on experience in Python and SQL.

● Build visualizations to communicate data to key decision-makers and preferably familiar with building interactive dashboards in Tableau/Metabase

● Establish relationship between output metric and its drivers in order to identify critical drivers and control the critical drivers so as to achieve the desired value of output metric

● Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions, and process improvements to meet business needs

● Collaborating with our business owners + product folks and perform data analysis of experiments and recommend the next best action for the business. Involves being embedded into business decision teams for driving faster decision making

● Collaborating with several functional teams within the organization and use raw data and metrics to back up assumptions, develop hypothesis/business cases and complete root cause analyses; thereby delivering output to business users

Job Requirements:

● Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field.

● Around 4-6 years of experience being embedded in analytics and adjacent business teams working as analyst aiding decision making

● Proficiency in Excel and ability to structure and present data in creative ways to drive insights

● Some basic understanding of (or experience in) evaluating financial parameters like return-on-investment (ROI), cost allocation, optimization, etc. is good to have

👉 ● Candidate must have strong hands-on experience in Python and SQL.

What’s there for you?

● Opportunity to understand the overall business & collaborate across all functional departments

● Prospect to disrupt the existing mobility industry business models (ideate, pilot, monitor & scale)

● Deal with the ambiguity of decision making while balancing long-term/strategic business needs and short-term/tactical moves

● Full business ownership working style which translates to freedom to pick problem statements/workflow and self-driven culture

Job Title: QA Tester (Manual Testing)

Department: Technology

Location: Remote

Company: Mercer Talent Enterprise

Company Overview:

Mercer Talent Enterprise is a leading provider of talent management solutions, dedicated to helping organizations optimize their workforce. We foster a collaborative and innovative work environment where our team members can thrive and contribute to our mission of enhancing talent strategies for our clients.

Position Overview:

We are looking for a detail-oriented QA Tester to join our Lighthouse Tech Team. In this role, you will be responsible for performing manual testing of our software applications to ensure they meet the highest quality standards. You will work closely with developers and product managers to identify testing requirements and ensure that all features function as intended.

Key Responsibilities:

• Execute manual test cases and document results.
• Identify, report, and track defects in a timely manner.
• Collaborate with the development team to understand application functionality and testing requirements.
• Participate in test planning and design activities.
• Conduct regression testing and ensure that existing functionality is not affected by new changes.
• Provide feedback on usability and user experience.
• Assist in the development of testing documentation and processes.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 1+ years of experience in manual software testing.
• Strong understanding of software testing methodologies and best practices.
• Experience with defect tracking tools (e.g., Azure,JIRA, Bugzilla).
• Excellent attention to detail and analytical skills.
• Strong communication and teamwork abilities.

Benefits:

• Competitive salary and performance-based bonuses.
• Professional development opportunities.

• Identify new revenue opportunities and meet appropriate targets set out by management.
• To understand thoroughly and establish appropriate channels/mediums of reaching the target audience keeping the budget in mind. 
• To prepare weekly action plan along with the team.
• Tracking Pipeline, Call reports, Lead tracker report and updating it in the CRM
• Responsible for selling our festivals to prospective sponsors and alliance partners against agreed targets
• Responsible for Relationship building & key account management with the existing clients to get more business                  
• Doing market research & Preparing database
• Scheduling meeting with the respective people
• 2-3 years Experience in Marketing & New Business Development with an exposure to Brand management, Brand promotion, Digital Media, Mass communication ,Media Sales
• Full time MBA - Sales & marketing from a reputed institute

 Job Description: AI/ML Engineer

Location: Bangalore (On-site)  

Experience: 2+ years of relevant experience

About the Role:

We are seeking a skilled and passionate AI/ML Engineer to join our team in Bangalore. The ideal candidate will have over two years of experience in developing, deploying, and maintaining AI and machine learning models. As an AI/ML Engineer, you will work closely with our data science team to build innovative solutions and deploy them in a production environmen

 Key Responsibilities:

- Develop, implement, and optimize machine learning models.

- Perform data manipulation, exploration, and analysis to derive actionable insights.

- Use advanced computer vision techniques, including YOLO and other state-of-the-art methods, for image processing and analysis.

- Collaborate with software developers and data scientists to integrate AI/ML solutions into the company's applications and products.

- Design, test, and deploy scalable machine learning solutions using TensorFlow, OpenCV, and other related technologies.

- Ensure the efficient storage and retrieval of data using SQL and data manipulation libraries such as pandas and NumPy.

- Contribute to the development of backend services using Flask or Django for deploying AI models.

- Manage code using Git and containerize applications using Docker when necessary.

- Stay updated with the latest advancements in AI/ML and integrate them into existing projects.

Required Skills:

- Proficiency in Python and its associated libraries (NumPy, pandas).

- Hands-on experience with TensorFlow for building and training machine learning models.

- Strong knowledge of linear algebra and data augmentation techniques.

- Experience with computer vision libraries like OpenCV and frameworks like YOLO.

- Proficiency in SQL for database management and data extraction.

- Experience with Flask for backend development.

- Familiarity with version control using Git.

 Optional Skills:

- Experience with PyTorch, Scikit-learn, and Docker.

- Familiarity with Django for web development.

- Knowledge of GPU programming using CuPy and CUDA.

- Understanding of parallel processing techniques.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Demonstrated experience in AI/ML, with a portfolio of past projects.

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork skills.

 Why Join Us?

- Opportunity to work on cutting-edge AI/ML projects.

- Collaborative and dynamic work environment.

- Competitive salary and benefits.

- Professional growth and development opportunities.

If you're excited about using AI/ML to solve real-world problems and have a strong technical background, we'd love to hear from you!

Apply now to join our growing team and make a significant impact!

Dear Jobseeker,

Hope you’re doing great!!!

I do have an urgent opening for the post of senior marketing executive in an e-Commerce company in Chennai, Please find the requirement below and do reach out with your updated resume 

Requirement:

• The ideal candidate should have min 3 Years of experience in Social Media/ eCommerce marketing.
• Looking for  candidate who can join in a week time max
• Must have strong communication & presentable skill with good Marketing skill & experience
• Should be able to adapt to an environment and team which forms right from scratch
• Looking for male candidate who can able to travel across south India for business generations

Job Responsibility:

• Will be responsible for handling the Marketing vertical for Ecommerce
• Generating new leads and bringing new clients in the vertical of Social Media & ecommerce
• Managing the existing & new clients and ensure the smooth operations across the unit
• Should be responsible for bringing a new business  
• You will be working along with a Management team for Business progress
• Open to travel across southern India for new business generation
• Must be strong in Negotiation & Lead generation

Thanks & Regards

Ramesh Kumar .K

ramesh.hr[at]samyes[dot]com

The Incident Response Senior Principal Analyst leads a team of experts with diverse skill sets across areas such as Security Operations Center (SOC), Forensics, and other applicable technical Subject Matter Expert (SME) resources. The IR Senior Principal Analyst is specifically tasked with managing all aspects of an Incident Response engagement to include incident validation, monitoring, containment, log analysis, system forensic analysis, and reporting. The IR Senior Principal Analyst is also responsible for developing and sustaining strong relationships with our clients, and client’s counsel to ensure the engagement’s objectives and expectations are met and executed successfully as documented in the statement of work. The incumbent of this role should display a strong foundation of technical expertise in Cybersecurity, Incident Response, and Digital Forensics to successfully execute the responsibilities associated with this role.  

ROLES AND RESPONSIBILITIES

• Supports the management of the technical aspects from client setup and kickoff to supporting the reporting process.
• Co-leads project scoping calls to accurately collect information from the client concerning the incident to include but not be limited to the client’s environment, size, technology, and security threats. Responsible for capturing all client’s expectations and objectives throughout the engagement to ensure successful engagement delivery.
• Organize and maintain an inventory of requests sent to the client to include at a minimum public IP ranges, requested information (including systems for collection), collected logs, systems Skadi or full systems, and any other requested made of the client by Arete or counsel.
• Works directly with the client and other Arete team members to preserve and collect artifacts for forensic analysis.
• Engages in communications with the TA for negotiation and recovery of decryption keys or manages the ransomware specialist team.
• Ensures deadlines are met and timely update meetings are established with client and counsel.
• Responsible for quality control over the budget of engagement and proactively identifying the need for addendums for engagements. Discusses with counsel before provided addendum.
• The main point of contact who manages and participates in all communications with the client and client’s counsel during the engagement. Assists with the development of communications.
• Supports the management and coordination of all technical efforts for the IR engagement to drive the process forward through; tool deployment, ransomware decryption, restoration, and recovery efforts, system rebuilds, system, application, and network administration tasks. 
• Coordinates with the Ransom Specialist when ransom negotiations are needed. Ensures updates regarding ransom status are delivered to the client and counsel in a timely fashion.
• Manages and coordinates the onsite efforts with the Onsite Lead or team ensuring they understand and can execute the objectives for the onsite work. Additional responsibilities with onsite efforts include ensuring communications are frequent and getting the daily onsite update communicating these back to the IR Director and/or IR Ops Associate for their Tiger Team.
• Co-manages restoration team when engaged with the client for recovery of systems, data collection, and SentinelOne (S1) deployment.
• Partners with the Forensic Lead to coordinate additional data collection requests pertinent to the investigation.
• Communicates in tandem with the Forensic Lead relevant findings to the client during the investigation.
• Designs and executes a strategy to install S1 and live response data within the SLAs set by Arete.
• Manage the SOC for accurate reporting of S1 metrics from threats to checked-in systems based on the need from the client.
• Follows up with the SOC Lead on SentinelOne alerts and encourages/coordinates client participation with the product. 
• Organizes the updates for client and counsel and acts as the "quarterback" for leading update calls when prompted by counsel; maintains an organized and methodical approach for providing updates from negotiations, system restoration, data collection forensics, and closeout. Accountable for final report review, ensuring the report is accurate, professional, and meets the objective of client counsel.
• Can troubleshoot instability issues within infected operating systems and stabilize the system for continued recovery.
• Cross trains across the IR services within SOC, IR Lead, Forensics, and Restoration.
• Supports peers and IR Directors within the engagement lifecycle. Familiarizes oneself with the negotiation tactics and communications with threat actors.

• Other duties as assigned.

DISCLAIMER

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required personnel so classified. 

SKILLS AND KNOWLEDGE

1. Experience delivering consulting engagements in a fast-paced environment
2. Experience leading scoping calls
3. Strong background and practical hands-on experience with Windows or Linux System and Network Administration, Security DevOps, Incident Response and Digital Forensics, or Security Engineering
4. Practical experience performing in a functional role including but not limited to one or more of the following disciplines: computer forensics, Incident Response, data analytics, Security Operations, and Engineering, Digital Investigations
5. Knowledgeable of collection methodologies and tools.
6. Comfortable working within various OS including Windows, Linux, and OSX
7. Organized communications and notes
8. Communicates clearly and concisely
9. Generally knowledgeable of the multiple services that comprise an IR investigation
10. In-depth knowledge of the ransom negotiation process and details it accordingly to clients

• You have a minimum of 6 years of experience building high-performance consumer-facing mobile applications at Product companies of a decent scale.
• You have founded/worked in a start-up and have worked in an enterprise environment You have a keen eye for mobile architecture and have led/participated in architectural discussions.
• You have a passion for mentoring and helping people on your team grow and achieve their goals and work with cross teams.
• You practice test-driven development and you are able to drive agile practices.
• You have worked with multiple languages/frameworks and have expertise in any one programming language/framework/stack.
• You have published reusable packages.
• You have worked with building automation, devise farms, multi-target testing.
• You are able to optimize the application for performance and speed.
• You are an excellent collaborator & communicator.
• You know that start-ups are a team sport.
• You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
• You are excited by the prospect of working in a distributed team and company

Tech Stack

• HTML5 (DOM)
• CSS 3
• Javascript (E6)/Typescript
• React Native/React/Angular/NativeScript/Vue
• In-depth knowledge of how frameworks works
• GraphQL
• Javascript ecosystem
• Linters
• Code formatters
• Transpilers
• Bundlers
• Testing tools(Jest, Enzyme)
• You are comfortable with caching, performance optimization, etc
•  You are comfortable with native mobile development
• Java/Kotlin/Android
• Swift/iOs