Bench Recruiters

Job Overview:

The BMS Project Manager is responsible for the management of Building Management System projects from design to completion. This role involves overseeing the design, installation, and commissioning and handing over of BMS solutions, ensuring all technical, quality, and safety standards are met. The Project Manager will collaborate with Consultants, PMC, clients, engineers, Internal team and Sub-contractors to ensure timely and cost-effective delivery of BMS systems that meet the required specifications.

Responsibilities:

• Execute the BMS projects, including scope definition, project timelines, budgets, and resource allocation.
• Coordinate with internal teams, subcontractors, and clients to ensure all project deliverables are met.
• Develop detailed project plans, schedules, and work breakdown structures.
• Perform risk assessments and develop mitigation strategies.
• Manage and lead a team of engineers, technicians, Sub-contractor and other staff involved in the BMS project.
• Ensure effective communication and collaboration between project stakeholders, including clients, consultants, and contractors.
• Conduct regular team meetings to track progress and resolve issues.
• Work closely with design engineers to ensure that the BMS design meets client requirements and industry standards.
• Review technical specifications and drawings for the installation of BMS systems.
• Oversee the procurement of BMS equipment and materials, ensuring quality, cost-effectiveness, and on-time delivery.
• Ensure all required certifications and compliance with regulations for the BMS systems are met.
• Monitor the progress of the project to ensure it is on schedule and within budget.
• Ensure that all work meets quality standards and industry regulations.
• Oversee the commissioning process and troubleshoot issues during system testing.
• Maintain regular communication with clients/Consultants, providing updates on project status, milestones, and potential challenges.
• Prepare Daily progress reports, including financial summaries, timelines, and project performance.
• Address client concerns and provide solutions to any technical or operational issues.
• Ensure all safety protocols are followed during the installation and commissioning of BMS systems.
• Comply with local and international building codes, regulations, and standards.
• Manage the project closeout process, ensuring all deliverables are completed and handed over to the client.
• Prepare and review final documentation, including system manuals, warranties, and certificates.
• Conduct post-project evaluations to assess performance and identify areas for improvement
• Minimum 8 years of experience managing BMS or similar building automation projects.
• Proven experience in managing large teams and large-scale projects.
• Strong understanding of building systems, HVAC, lighting, energy management, and related technologies.
• Experience with BMS platforms (e.g., Johnson Controls, Honeywell, Siemens, Trane etc).
• Strong leadership and interpersonal skills.
• Excellent communication skills (written and verbal).
• Problem-solving abilities and attention to detail.
• Ability to handle pressure and meet deadlines.

Role: Sr. Data Scientist

Exp: 4-8 Years

CTC: up to 25 LPA

Technical Skills:

● Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.

● Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.

● Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.

● Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.

● Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).

● Exposure to natural language processing (NLP) techniques is a plus.

• Educational Qualifications:

• B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
• A master’s degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred

Now Hiring: Tableau Developer (Banking Domain) 🚀

We’re looking for a 6+ years experienced Tableau pro to design and optimize dashboards for Banking & Financial Services.

🔹 Design & optimize interactive Tableau dashboards for large banking datasets

🔹 Translate KPIs into scalable reporting solutions

🔹 Ensure compliance with regulations like KYC, AML, Basel III, PCI-DSS

🔹 Collaborate with business analysts, data engineers, and banking experts

🔹 Bring deep knowledge of SQL, data modeling, and performance optimization

🌍 Location: Remote

📊 Domain Expertise: Banking / Financial Services

✨ Preferred experience with cloud data platforms (AWS, Azure, GCP) & certifications in Tableau are a big plus!

Bring your data visualization skills to transform banking intelligence & compliance reporting.

Remote Job Opportunity

Job Title: Data Scientist

Contract Duration: 6 months+

Location: offshore India

Work Time: 3 pm to 12 am

Must have 4+ Years of relevant experience.

Job Summary:

We are seeking an AI Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling to design, develop, and deploy cutting-edge AI solutions.

The ideal candidate will have expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques. You will work on high-impact projects, from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI.

Key Responsibilities:

Research, design, and implement machine learning and deep learning models for predictive and generative AI applications.

Apply advanced statistical methods to improve model robustness and interpretability.

Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.

Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation.

Work closely with ML engineers to validate, train, and deploy the models.

Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions.

Qualifications & Skills:

Education: PhD or Master's degree in Statistics, Mathematics, Computer Science, or a related field.

Experience:

4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.

Proficiency in SQL, Python and visualization tools ( Power BI).

Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries

Strong communication skills to interact effectively with both technical and non-technical stakeholders.

Excellent problem-solving skills with the ability to work independently and as part of a team.

1.Proven experience as a PPC Ads Specialist or similar role with a successful track record of managing and optimizing PPC campaigns.

2.In-depth knowledge & work experience of PPC platforms such as Google Ads, Bing Ads, and social media advertising platforms (Facebook, Instagram etc.)

3.Experience in Paid Search (PPC) / Create and manage Payper Click (PPC) campaigns.

4.Sound knowledge of keyword research tools, analytics platforms, and bid management systems.

5.Strong communication and collaboration skills.

6.Ability to work in a fast-paced, results-driven environment.

6.Certifications in Google Ads and other relevant platforms will be a plus.

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following react.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.