11+ EHS Jobs in Pune | EHS Job openings in Pune

We're Hiring for Project Engineer – BMS ( MNC Company )

Location: Pune

Experience: 3–4 Years

Qualification: Diploma / Degree in Engineering

Salary: As per Company Norms

Department: BMS (Building Management System)

About the Role

We are looking for an experienced Project Engineer – BMS to join our team in Pune. The role involves managing and coordinating BMS project execution and handover, ensuring projects are delivered as per approved drawings, specifications, quality standards and timelines.

Key Responsibilities

• Plan, schedule, coordinate and monitor assigned BMS engineering projects.
• Manage end-to-end project execution and handover activities.
• Review engineering tasks and initiate necessary corrective actions.
• Coordinate with subcontractors and ensure compliance with project quality requirements.
• Ensure availability of required equipment for BMS project execution.
• Coordinate with Electrical, QA/QC and EHS teams for safe and proper execution.
• Liaise with clients and consultants for BMS project activities.
• Monitor project progress and prepare status reports.
• Coordinate with the Project Manager for labour allocation and site requirements.
• Ensure execution is carried out as per approved drawings, specifications and quality standards.
• Support project completion and BMS handover activities.

Candidate Requirements

• 3–4 years of relevant experience in BMS project execution and handover.
• Diploma / Degree in Engineering.
• Hands-on experience in BMS site/project execution.
• Experience in client, consultant and subcontractor coordination.
• Good understanding of QA/QC and EHS requirements.
• Strong communication, coordination and project management skills.

Interested candidates can apply with their updated CV.

Job Title: Java Developer (Full-time)

Location: Pune (Onsite)

Experience Required: 3+ Years

Working Days: 5 Days (Mon to Fri)

Key Responsibilities:

• Design, develop, and deploy scalable microservices using Java and Spring Boot.
•  Implement RESTful APIs and integrate with external systems and databases.
• Build and manage services on AWS Cloud using components like ECS, Lambda, S3, RDS,
• and API Gateway.
• Collaborate with DevOps to integrate CI/CD pipelines for automated builds, tests, and
• deployments.
• Ensure application performance, reliability, and security in a cloud-native environment.
• Participate in code reviews, troubleshooting, and performance optimization.
• Work closely with architecture, QA, and product teams to deliver high-quality solutions.

Required Skills & Experience:

• Strong proficiency in Java, Spring Boot, and microservice architecture. 
• Hands-on experience with AWS Cloud services (ECS, EKS, Lambda, RDS, CloudWatch,etc.).
•  Knowledge of Docker, Kubernetes, and CI/CD tools (Jenkins, GitLab, or AWS
• CodePipeline).
• Experience with REST APIs, JSON, and message brokers (Kafka, RabbitMQ, or SNS/SQS).
• Proficiency in SQL and experience with relational databases (Oracle, MySQL, or
• PostgreSQL).
•  Familiarity with security best practices, monitoring, and logging in the cloud.

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)

Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker

******

Notice period - 0 to 15 days only 

Location : Pune & Hyderabad only

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
• 
  

Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

Click the link below to apply :

https://surl.li/uowuxk

Senior Full Stack Developer:

We are looking for a candidate who has worked with product-based companies.

Total Work Experience: 4–6 Years

Expectations from the Candidate:

• Excellent knowledge of front-end frameworks like ReactJS
• Experience with popular React.js workflows
• Strong hands-on experience in NodeJS development
• Experience working with PostgreSQL
• Understanding of server-client architectures, consuming JSON data from APIs
• Curiosity and a highly collaborative work style — eager to share knowledge and explore new technologies
• Collaborate with cross-functional teams to define, design, and ship new features
• Lead or participate in design reviews, code reviews, and architecture discussions
• Write unit tests to ensure code robustness and reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximise development efficiency

Desired Skills:

1. Worked on Integrations with Third-Party Systems
2. Worked on AI/ML-based Applications/Products
3. End-to-End Ownership of Production-Grade Products
4. Experience working on Live/Production Deployments for multiple years.

Educational Qualification:

• Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• A Master’s Degree (M.Tech/MCA) in a relevant field will be an added advantage.
• Strong academic foundation in Data Structures, Algorithms, Database Management Systems (DBMS), and Software Development Life Cycle (SDLC).

Role & responsibilities

• Develop new Leads of Industries who can install solar
• Develop strong relationships with the different stakeholders in these industries
• Generate proposals, offers
• Conduct negotiations with prospective customers
• Close orders with prospective customers
• Work with the Products team to better mold the product as per the customers requirements
• Hand hold a customer in their transition to renewable energy

Preferred candidate profile

• Past work experience as a sales executive / manager in an EPC company / project developer
• First hand knowledge of Rooftop Solar
• Strong Industry connects to be able to work independently
• Bachelors Degree in associated field
• Comfortable with travelling over night to visit the site if required

Perks and benefits

• Pay above industry standards
• Very attractive Performance linked Bonus
• Attractive ESOPs
• 100% Ownership of the task
• Flexible, employee centric work culture
• Massive Growth Potential

Title: Senior Java Developer

Location: Pan India/Remote work

Senior Java Developer

Functional Experience:

5+ years of work experience, bachelor's degree in computer science or a related field, develop applications for cloud computing, design, maintain and operate cloud systems/microservices and applications, keep cloud systems secure, fully tested and integrated with all the other products/applications, understand the language of business and develop to address the business’s needs.

Technical Skills Required:

Minimum 6 year of hands-on Java (including Java 11) programming; Experience and knowledge of open-source software, frameworks around server-side development in Java 11; wide and deep understanding of Java ecosystem, monitoring and diagnosis, Spring Boot.

Notice Period: 0-30 Days

If you are looking for good opportunity in Cloud Development/Devops. Here is the right opportunity.

EXP: 4-10 YRs
Location:Pune
Job Type: Permanent
Minimum qualifications:

• Education: Bachelor-Master degree 
• Proficient in English language. 

Relevant experience:

• Should have been working for at least four years as a DevOps/Cloud Engineer 
• Should have worked on AWS Cloud Environment in depth 
• Should have been working in an Infrastructure as code environment or understands it very clearly. 
• Has done Infrastructure coding using Cloudformation/Terraform and Configuration Management using Chef/Ansibleand Enterprise Bus(RabbitMQ/Kafka) 
• Deep understanding of the microservice design and aware of centralized Caching(Redis), centralizedconfiguration(Consul/Zookeeper)