11+ PDMS Jobs in India

Key Responsibilities:

• Prepare control room layouts.
• Develop cable and junction box schedules.
• Create wiring and interconnection drawings.
• Perform 3D modeling using E3D, PDMS, or other relevant tools.
• Work on design software such as AutoCAD and MicroStation.
• Ensure accuracy and compliance with project specifications and industry standards.

Required Skills & Platforms:

• Software Proficiency: E3D, AutoCAD (Combination of E3D + AutoCAD is mandatory).
• Experience with PDMS, MicroStation, and E3D preferred.
• Strong understanding of oil & gas instrumentation design.

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Role: Lead Data Engineer Core

Responsibilities: Lead end-to-end design, development, and delivery of complex cloud-based data pipelines.

Collaborate with architects and stakeholders to translate business requirements into technical data solutions.

Ensure scalability, reliability, and performance of data systems across environments. Provide mentorship and technical leadership to data engineering teams. Define and enforce best practices for data modeling, transformation, and governance.

Optimize data ingestion and transformation frameworks for efficiency and cost management. Contribute to data architecture design and review sessions across projects.

Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

8+ years of experience in data engineering with proven leadership in designing cloud native data systems.

Strong expertise in Python, SQL, Apache Spark, and at least one cloud platform (Azure, AWS, or GCP). Experience with Big Data, DataLake, DeltaLake, and Lakehouse architectures Proficient in one or more database technologies (e.g. PostgreSQL, Redshift, Snowflake, and NoSQL databases).

Ability to recommend and implement scalable data pipelines Preferred Qualifications: Cloud certification (AWS, Azure, or GCP). Experience with Databricks, Snowflake, or Terraform. Familiarity with data governance, lineage, and observability tools. Strong collaboration skills and ability to influence data-driven decisions across teams.

Summary:

We are seeking a highly skilled and experienced Senior Associate - Content to join Caramel. The ideal candidate will have 4-5 years of relevant experience in writing content for various digital platforms and scripting for DVCs, TVCs, reels (short format videos), documentaries, corporate videos, consumer testimonials, showreels, and marketing collaterals like broachers, standees, signages, and dropdowns. The potential candidate should also be adept in scripting radio jingles and conceptualizing print ads, and OOH Media. As a Senior Associate, you will also be responsible for developing and implementing content strategies for various events and activations pitches and event-related marcom.

Roles and Responsibilities:

Ø Develop and execute content strategies that align with the company's/clients/events/activation goals and target audience.

Ø Create engaging and informative content for websites, blogs, social media, and other digital platforms, on-ground activities, and offline media

Ø Conduct thorough research on industry-related topics to ensure the accuracy and relevance of content.

Ø Collaborate with designers to create visually appealing and impactful content.

Ø Manage and update the website and digital content for Caramel according to the marketing calendar.

Ø Stay up-to-date with industry trends and best practices in content creation and management.

Ø Edit and proofread content to ensure clarity, consistency, and adherence to brand guidelines.

Ø Assist in the development and implementation of content marketing campaigns for events and activations

Ø Train and mentor junior team members to enhance their content creation skills.

Qualifications:

Ø Bachelor's degree in English, Journalism, Marketing, or a related field.

Ø Proven experience in content creation and management, preferably in a similar industry.

Ø Excellent written and verbal communication skills.

Ø Strong attention to detail and ability to meet tight deadlines.

Ø Proficiency in content management systems and analytics tools.

Ø Ability to work independently and collaboratively in a fast-paced environment.

Ø Strong organizational and project management skills.

Ø Knowledge of social media platforms, offline media, events, and activation, and their respective content requirements.

Ø If you are a creative and driven individual with a passion for content creation, we would love to hear from you. Join our team and contribute to our mission of delivering high-quality and engaging content to our audience

Exp: 2-8 Years

Immediate joiners or serving Notice only

Qualification BTech or BCA+MCA Only

Location – Gurgaon

Requirement - 6

        Must to have Angular 2/4/6/8/10 or Upper version, C# & WebAPI

• Programming experience using C#, Type Script languages.
• Programming experience using Angular2 & upper versions.
• Programming experience using RestAPI & WebAPI.
• Experience using relevant tool Microsoft Visual studio and Visual studio code.
• Extensive knowledge of agile methodologies.

• Knowledge of various search engine optimization platforms, best practices, and website analytics.
• Up-to-date on the latest trends and technologies in SEO.
• Develop and mentor campaign budgets.*
• *Generate leads from Quality Clicks on Quality Websites.
• Work on SEO & other initiatives to increase domain reputation & rank.