Data Scientist

Job Description – Data Scientist (Machine Learning & Forecasting)

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities

• Design, develop, and deploy Machine Learning models for business-critical use cases.
• Build and optimize traditional ML models such as:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Gradient Boosting (XGBoost, LightGBM, CatBoost)
• Support Vector Machines
• Clustering Algorithms
• Develop forecasting solutions using:
• ARIMA / SARIMA
• Prophet
• Exponential Smoothing
• Time-Series Regression Models
• Perform exploratory data analysis (EDA), feature engineering, and data validation.
• Evaluate model performance using appropriate statistical and business metrics.
• Work with structured and semi-structured datasets from multiple sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Build scalable data pipelines and support model deployment in production environments.
• Monitor model performance, identify data drift, and implement model retraining strategies.
• Present insights and recommendations to technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

   Machine Learning

• Strong understanding of supervised and unsupervised learning algorithms.
• Experience with ensemble methods and advanced ML techniques.
• Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

• Strong understanding of:
• Time-Series Analysis
• Forecasting Techniques
• Statistical Inference
• Hypothesis Testing
• Probability Distributions
• A/B Testing

Programming

• Advanced proficiency in Python.
• Experience with:
• Pandas
• NumPy
• Scikit-learn
• Statsmodels
• XGBoost / LightGBM
• Prophet

Data & SQL

• Strong SQL skills with experience in complex queries and performance optimization.
• Experience working with large-scale datasets.

Visualization

• Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
• Cloud & MLOps (Preferred)
• Exposure to AWS, Azure, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Strong business acumen and data-driven decision-making mindset. 

The Role:

We are seeking a highly skilled Sr Embedded Software Engineer (Python & C++) to manage and improve the software development lifecycle for device firmware systems. The primary focus of this role is to ensure firmware operational reliability, fail-safe implementation, certification compliance, and robust production deployment.

This role is ideal for an engineer experienced in system-level software, firmware validation, testing automation, and production readiness — but not focused on low-level hardware design.

Experience: 6-10 years

Job Location: Hyderabad

Job Type: Permanent

CORE FOCUS AREAS

• Ensure firmware operates reliably in production environments

• Implement and validate fail-safe mechanisms and fallback logic

• Maintain certification compliance across firmware releases

• Drive robust, repeatable production deployment pipelines

• Support field debugging and OTA update validation

IDEAL CANDIDATE PROFILE

• Strong hands-on experience in Python and C++ development

• Background in system-level software and firmware validation

• Experience with testing automation and production readiness

• Comfortable working closely with embedded engineers

• Not required to have low-level hardware design expertise

KEY RESPONSIBILITIES

FIRMWARE OPERATIONAL STABILITY

• Ensure firmware operates reliably in production environments

• Implement and validate fail-safe mechanisms and fallback logic

• Monitor watchdog systems, timeout handling & safe state transitions

• Work closely with embedded engineers to validate firmware behavior

PYTHON & C++ DEVELOPMENT

• Develop firmware communication layers & device control applications

• Build diagnostic tools and test automation frameworks

• Optimize performance and memory handling in C++ applications

• Develop production-ready Python tools for deployment, logging & validation

FAIL-SAFE & SAFETY IMPLEMENTATION

• Implement safe boot validation, error recovery & redundancy logic

• Build communication retry systems & safe shutdown protocols

• Design state machines for controlled device operation

• Ensure safe-state transitions on power, comms or hardware failure

PRODUCTION DEPLOYMENT & VALIDATION

• Create secure and repeatable firmware deployment pipelines

• Implement boot image validation, signature verification & rollback

• Develop health monitoring and diagnostic utilities & CI/CD Pipelines

• Support field debugging and OTA update validation

Linux Environment

• Work in Linux-based environments for firmware development, debugging, and deployment — including shell scripting, process/service management, and system diagnostics.

• Own unit testing, integration testing & production release management

• Ensure code quality and compliance with internal standards

IoT + AI

Building the tech behind India's Reverse Vending Machines

SUCCESS METRICS

• Firmware reliability — stable, uninterrupted operation in production environments

• Fail-safe coverage — validated fallback logic, redundancy & safe-state transitions

• Linux Environment - Use Linux for development till deployment

• Deployment success rate — secure, repeatable pipelines with clean rollbacks

• Code & release quality — test coverage, code review discipline & CI/CD health

• Field performance — OTA update success and turnaround on field debugging

Job role: Systems Engineer (L2)

Location: Remote/Bengaluru

Experience: 3-6 years

About the Role:

We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.

Key Responsibilities:

 — Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.

 — Manage and optimize networking components — routers, switches, firewalls, load balancers.

 — Handle incident response — monitor systems, identify issues, resolve production problems.

 — Implement DevOps best practices — CI/CD pipelines, automation, containerization.

 — Collaborate with backend and product teams on system architecture.

— Performance tuning — ensure high availability and reliability of platform.

— Security management — implement security protocols and compliance standards.

Required Skills:

Technical:

• Linux/Unix administration — strong fundamentals
• Networking — TCP/IP, DNS, BGP, VoIP protocols
• Cloud platforms — AWS/GCP/Azure — minimum 2 years
• DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
• Monitoring tools — Grafana, Prometheus, Kibana, Datadog
• Scripting — Python, Bash, Shell
• Databases — MySQL, PostgreSQL, Redis

Soft skills:

• Strong problem-solving under pressure
• Good communication — English written and verbal
• Team player — collaborative mindset

Good to Have:

• Experience in telecom/CPaaS/cloud communications industry
• Knowledge of VoIP, SIP, RTP protocols
• AI/ML operations experience
• CCNA/AWS certifications

Job Title: Node.js / AI Engineer

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 skilled Node.js / AI Engineer to join our Lighthouse Tech Team. This role is focused on application development, where you will be responsible for designing, developing, and deploying intelligent, AI-powered applications. You will leverage your expertise in Node.js and modern AI technologies to build sophisticated systems that feature Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) pipelines.

Key Responsibilities:

• Develop and maintain robust and scalable backend services and APIs using Node.js.
• Design, build, and integrate AI-powered features into our core applications.
• Implement and optimize Retrieval-Augmented Generation (RAG) systems to ensure accurate and context-aware responses.
• Develop and orchestrate autonomous AI agents to automate complex tasks and workflows.
• Work with third-party LLM APIs (like OpenAI, Anthropic, etc.) and open-source models, fine-tuning and adapting them for specific use cases.
• Collaborate with product managers and developers to define application requirements and deliver high-quality, AI-driven solutions.
• Ensure the performance, quality, and responsiveness of AI-powered applications.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of professional experience in backend application development with a strong focus on Node.js.
• 2+ years of hands-on experience in AI-related development, including building applications that integrate with Large Language Models (LLMs).
• Demonstrable experience developing AI agents and implementing RAG patterns.
• Familiarity with AI/ML frameworks and libraries relevant to application development (e.g., LangChain, LlamaIndex).
• Experience with vector databases (e.g., Pinecone, Chroma, Weaviate) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Benefits:

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

Exp: 4-6 years

Position: Backend Engineer

Job Location: Bangalore ( office near cubbon park - opp JW marriott)

Work Mode : 5 days work from office 

Requirements:

● Engineering graduate with 3-5 years of experience in software product development.

● Proficient in Python, Node.js, Go

● Good knowledge of SQL and NoSQL

● Strong Experience in designing and building APIs

● Experience with working on scalable interactive web applications

● A clear understanding of software design constructs and their implementation

● Understanding of the threading limitations of Python and multi-process architecture

● Experience implementing Unit and Integration testing

● Exposure to the Finance domain is preferred

● Strong written and oral communication skills

We are seeking a talented Senior DevOps Engineer to join our team. The ideal candidate will play a crucial role in enhancing our infrastructure and ensuring seamless deployment processes.

Responsibilities:

• Design, implement, and maintain automation scripts for build, deployment, and configuration management.
• Collaborate with software developers to optimize application performance.
• Manage cloud infrastructure and service.
• Implement best practices for security and compliance.
• Proficiency in NoSQL databases- Knowledge of server management and shell scripting.
• Experience in cloud computing environments.
• Familiarity with .NET framework is a plus.
• Migrate existing cloud infrastructure to Infrastructure as Code (IaC) via tools like Terraform.
• Build out and enhance scalable containerized infrastructure using Kubernetes (k8s) and EKS.
• Assist software engineers with migration of applications to leverage configuration management and configuration as code (CaC) using tools like Docker.
• Configure and optimize CI/CD pipelines to minimize lead time for changes, including pipelines for infrastructure changes.
• Ensure applications and infrastructure are properly instrumented via observability tooling to improve alerting, monitoring, and incident response.
• Recommend infrastructure improvements to ensure architectures are centred around customer needs, and improve overall cloud architecture goals around availability, scalability, reliability, security and costs, and metrics like MTTR, MTBF, etc.
• Automate existing manual workflows and implement controls around them in line with the company's security and compliance goals.

Requirements:

• 10+ years of experience in DevOps or SRE fields, with current experience supporting engineering teams implementing scalable cloud architectures using CaC, IaC, and Kubernetes.
• Strong proficiency w/ AWS (certification required), including expert-level knowledge of cloud networking and security best practices.
• Strong programming and/or scripting experience in languages like Python and bash, including extensive experience with source code management and deployment pipelines.
• Extensive experience leveraging observability tooling for logging, monitoring, alerting, incident management, and escalation.
• Exceptional debugging and troubleshooting ability.
• Familiarity with web application architecture concepts, such as databases, message queues, serverless
• Ability to work with Engineering teams to identify and resolve performance constraints.
• Experience managing cloud infrastructure for SaaS applications.
• Experience leading a major cloud migration (on-premise to cloud, poly-cloud, etc.) preferred.
• Experience enabling a continuous deployment capability in a previous role preferred.
• Demonstrated experience guiding and leading other DevOps, cloud, and software engineers, leveling up technical proficiency and overall cloud capabilities.

Benefits:

• Work Location: Remote
• 5 days working

You can apply directly through the link: https://zrec.in/U2vjo?source=CareerSite

Explore our Career Page for more such jobs : careers.infraveo.com

Hands on experience in Python in 2.x and 3.x versions

• Developed and deployed services in AWS serverless Architecture
• Developed REST API’s using serverless framework, AWS Lambda, API Gateway
• Developed queue and notification services using AWS components - SQS, SNS
• Implemented authorization and authentication using AWS Cognito pool
• Developed Facial recognition systems using AWS Rekognition
• Hands on experience in Flask, Tornado, Quartz framework
• Hands on experience in designing and working on MicroService & Monolithic architecture
• Basic understanding of front-end technologies HTML, CSS, JavaScript, jQuery

Mongo dB experience is must