Life Insurance Manager

About the Role:

We are looking for a technically skilled and field-oriented Service Engineer to handle installation, commissioning, and after-sales support of industrial machinery. This role requires strong on-site execution, customer coordination, and troubleshooting capabilities.

Qualifications:

Diploma / Degree in Mechanical Engineering

Diploma / Degree in Electrical / Electronics Engineering

ITI – Fitter Trade

Key Responsibilities:

Installation & Commissioning:

Execute on-site installation and commissioning of machinery

Ensure timely completion of assigned work orders

Participate in FAT (Factory Acceptance Testing) with customers

Handle machine shifting, de-boxing, and installation setup

Site Management & Coordination:

Plan and execute site visits as per project schedule

Coordinate with customers for site readiness and execution

Manage site activities independently

Ensure proper handover and customer satisfaction

Technical Support & Troubleshooting:

Diagnose and resolve on-site technical issues

Coordinate with design, QA, and internal teams for support

Follow up for material requirements and shortages

Reporting & Communication:

Maintain regular communication with customers

Submit daily site visit reports to reporting manager

Ensure documentation and reporting accuracy

Required Skills:

Strong mechanical and technical aptitude

Hands-on experience in installation & commissioning

Good communication and customer handling skills

Problem-solving and troubleshooting ability

Ability to work independently at client sites

Basic computer skills (MS Office, reporting tools)

Team coordination and leadership qualities

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

We are looking for skilled AI Engineer for our organization. Please have a look to below details and revert accordingly if we can discuss further

Company Name: TechWize (A Business unit of Mangalam Information Technologies Pvt Ltd.)

Our Accreditations -

• 25 years of industry presence
• Salesforce Partner
• ISO 27001:2019 certified
• Great Place to Work certified
• HIPAA Compliant
• SOC2 Compliant
• NASSCOM Member

Our EVP (Employee Value proposition)

• We are a Great place to work certified company.
• 30 Earned Leaves during calendar Year
• Career progression and continuous Learning & Development (Technical, Soft skills, Communication, Leadership)
• Performance bonus & Loyalty Bonus Benefits
• 5 Days working
• Rewards and Recognition programs
• Standard Salary as per market norms
• Equal career opportunities, No discrimination
• Magnificent & Dynamic Culture
• Festival celebrations & fun events

Explore more : https://techwize.com/, https://mangalaminfotech.com/

Position: AI/Sr. AI Engineer

Job location: Ahmedabad

Experience: 4+ years

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• 
  
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• 
  
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Responsibilities:

 Develop and maintain high-quality, scalable, and efficient Java codebase for our ad-serving platform.

 Collaborate with cross-functional teams including product managers, designers, and other developers to

understand requirements and translate them into technical solutions.

 Design and implement new features and functionalities in the ad-serving system, focusing on performance

optimization and reliability.

 Troubleshoot and debug complex issues in the ad server environment, providing timely resolutions to ensure

uninterrupted service.

 Conduct code reviews, provide constructive feedback, and enforce coding best practices to maintain code quality

and consistency across the platform.

 Stay updated with emerging technologies and industry trends in ad serving and digital advertising, and integrate

relevant innovations into our platform.

 Work closely with DevOps and infrastructure teams to deploy and maintain the ad-serving platform in a cloud- based environment.

 Collaborate with stakeholders to gather requirements, define technical specifications, and estimate development

efforts for new projects and features.

 Mentor junior developers, sharing knowledge and best practices to foster a culture of continuous learning and

improvement within the development team.

 Participate in on-call rotations and provide support for production issues as needed, ensuring maximum uptime

and reliability of the ad-serving platform.

Linux Expert :-  

• Linux Drivers integration such as camera, radar, lidar, IMU, GNSS, V2X etc. 

• C/C++ coding on Linux ubuntu environment 

• Drivers integration with upper software layers such as DDS protocol/ROS2 framework. 

• Working on autonomous related modules 

• Diagnostics and failsafe operation implementation 

• Debugging the issues. 

• Testing the developed modules. 

• Following software processes. 

• Status update on assigned activities. 

• Training documentation or user documentation preparation. 

Expected Deliverables 

• The integration activity of sensors such as camera, radar, lidar, V2X etc. 

• Source code and related explanation provided for any possible improvements and modifications 

in the system which is required for maintenance of the code. (team work) 

• Complete open source ASAM and ODD based tools integration. (team work) 

• Detailed specifications of interfaces and protocols for inter-operability of hardware and software 

modules on   provided (team work) 

• Integration of MIL/SIL and HIL System with infrastructure (team work) 

• Clear user guidelines document for software development 

• Software Maintenance and Updates generated 

• Weekly status reports. 

• Training material and Documentation preparation for developed activities. 

Qualifications Required 

Qualifications and skills for the expert 

• Bachelor’s degree in computer or electrical or software engineering or a related discipline; 

• Excellent command over English (reading, writing, speaking); 

• Good command

• Working experience in developing Linux applications. 

• C, C++ programming and Bash scripting. 

• Working experience with embedded Linux. 

• Knowledge on NVIDIA GPU processors and automotive ECU development 

• Developing Open Source software. 

• Knowledge/experience on python, computer vision, CUDA, PyTorch, image processing, ROS2, 

DDS, ADAPTIVE Autosar. 

• Developing software modules as assigned by expert in the area of autonomous and connected 

technology. 

General professional experience is required for the expert 

• Minimum 3 years of professional industrial experience in the area of robotics and autonomous car 

platform. 

Specific professional experience is required for the expert 

• Must be minimum 2 years’ experience software development experience pertaining to autonomous 

and connected car systems or ADAS applications. 

What we're looking for 

AdPushup is an award-winning ad revenue optimization platform and Google Certified Publishing Partner (GCPP), helping hundreds of web publishers grow their revenue using cutting-edge technology, premium demand partnerships, and proven ad ops expertise. Our team is a mix of engineers, marketers, product evangelists, and customer success specialists, united by a common goal of helping publishers succeed. We have a work culture that values expertise, ownership, and a collaborative spirit. 

Your Day-to-Day Tasks Include: 

Ship product, independently and/or as part of a small team 

Collaborate with other engineers to build new features 

Debugging using dev consoles, firebug, firecookie, or any of your favorite tools. Help troubleshoot production issues and resolve critical customer facing issues Provide top-notch support to our customers 

You Should Have: 

3+ years of experience with React. 

A strong body of prior front end work, including significant projects written in React and Redux. Mastery of JavaScript; expertise in most of the following technologies, and proficiency in all of them: CSS3, HTML5, AJAX. 

Deep understanding of closures, prototypal inheritance, HTTP, web security, cross browser compatibility challenges. 

Experience with NodeJS and Express JS will be a plus 

Hands-on with a code management system like GIT, SVN. 

Experience with NoSQL databases, preferably CouchDB or CouchBase. 

Good to have: Experience with Typescript.