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We are seeking a detail-oriented and innovative Chemical Engineer. The ideal candidate will be responsible for designing, developing, and optimizing processes for manufacturing, ensuring safety, quality, sustainability, and efficiency. This role requires strong problem-solving skills and the ability to work in cross-functional teams to improve production systems.

Key Responsibilities:

• Design, develop, and implement chemical processes for production.
• Monitor and optimize plant operations to improve yield, reduce costs, and minimize waste.
• Ensure compliance with health, safety, and environmental regulations.
• Conduct research and feasibility studies to develop new products and processes.
• Collaborate with R&D, production, and quality teams to improve efficiency.
• Troubleshoot technical issues in manufacturing and propose solutions.
• Prepare and maintain technical documentation, reports, and SOPs.
• Implement best practices for sustainability and energy efficiency.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Chemical Engineering (or related field).
• Strong knowledge of chemical processes, thermodynamics, fluid mechanics, and reaction engineering.
• Experience with process simulation tools (e.g., Aspen Plus, HYSYS, MATLAB) is an advantage.
• Good analytical, mathematical, and problem-solving skills.
• Strong communication and teamwork abilities.
• Knowledge of safety standards and environmental regulations.

Role : Executive Personal Assistant

Fresher can also apply

Location : Hadapsar ( Pune)

Key Responsibilities

1. Calendar & Office Management

• Plan, schedule, and coordinate appointments, meetings, and events for the Managing Director.
• Maintain and update daily and weekly calendars proactively.
• Provide timely reminders and ensure smooth workflow management.
• Organize and maintain physical and digital files, documents, and confidential records.

2. Communication & Coordination

• Receive, screen, and prioritize calls, emails, and messages for the MD.
• Act as a liaison between the MD and employees, departments, and external stakeholders.
• Handle VIP/HNI customer interactions, reservations, and special ODC/party orders.
• Manage communication related to projects, new launches, and expansion initiatives under the MD’s purview.
• Respond to internal and external inquiries and track work plans assigned by the MD.

3. Documentation & Reporting

• Take dictations and draft correspondences, data points, and responses based on the MD’s preferences.
• Prepare, edit, and compile agendas, minutes of meetings, reports, presentations, and briefs.
• Observe discussions conducted by the MD and translate them into actionable plans for execution.

4. Travel & Hospitality Coordination

• Arrange domestic and international travel, ticketing, hotel bookings, and logistics for the MD and senior executives.
• Coordinate boarding and lodging for outstation visitors based on MD’s instructions.

5. Vendor, Supplier & Procurement Coordination

• Coordinate with international suppliers and vendors (e.g., China, Italy) regarding quotations, purchase orders, and shipments.
• Negotiate with suppliers, contractors, and vendors to obtain competitive pricing.
• Manage purchase comparisons, approvals, and payments.

6. Operational & Infrastructure Support

• Oversee maintenance, upkeep, and repair work of corporate offices, outlets, and store infrastructure.
• Coordinate on a case-by-case basis as per MD’s directions.

7. Research & Analysis

• Undertake primary and secondary research on assigned topics.
• Prepare detailed briefs, reports, and presentations within stipulated timelines.

8. Employee Training & Onboarding

• Assist in induction and training of employees associated with or supporting the MD’s office

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

ROLES AND RESPONSIBILITIES:

We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.

Key Responsibilities-

• Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
• Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
• Architect and deliver high-performance ETL/ELT processes across cloud platforms.
• Implement and enforce data governance standards, including data quality, lineage, and access control.
• Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
• Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Mentor junior engineers and contribute to engineering best practices, standards, and documentation.

IDEAL CANDIDATE:

• Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
• Advanced SQL skills with experience handling large, complex datasets.
• Strong expertise with Databricks for data engineering workloads.
• Hands-on experience with major cloud platforms — AWS and Azure.
• Deep understanding of data architecture, data modelling, and optimisation techniques.
• Familiarity with BI and reporting environments such as Power BI.
• Strong analytical and problem-solving abilities with a focus on data quality and governance
• Proficiency in python or another programming language in a plus.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

Exp: 0 -2 Years

Salary: ₹12,000 - ₹18,000 per month

Location: Pune

Requirements:

• Proven experience in telecalling, sales, or customer service is preferred.
• Excellent verbal communication skills.
• Strong persuasive and negotiation skills.
• Ability to build rapport and maintain positive relationships over the phone.
• Goal-oriented and self-motivated with a track record of achieving targets.
• Basic computer literacy and comfortable using CRM systems.
• Strong organizational and time-management skills.
• Ability to handle pressure and work effectively in a fast-paced environment.

• Determining business needs via consultation, business analysis, and targeted observations.
• Assessing existing IT infrastructure and recommending improvements.
• Developing and configuring customized SAP solutions.
• Writing scripts and programs to create user-friendly interfaces and enhanced functionalities.
• Deploying SAP solutions and ensuring smooth system integration.
• Troubleshooting and resolving issues to optimize performance.
• Providing SAP system support and end-user training.
• Performing rigorous documentation of SAP processes and presenting progress reports.
• Ensuring compliance with industry regulations.
• Keeping abreast of the latest SAP offerings, updates, and developments.

1. Technical skills:
   • Primary skills :
2. Siebel CSW
   Should have hands on experience Siebel Configuration, Scripting and Workflows

1. Siebel Integration
   Should have hands on experience Siebel integrations like JMS\MQ, Web services, VBC, EBC, Rest Service, API building etc.

1. Siebel OpenUI
   Should have hands on experience in Siebel OpenUI development.

1. Database (SQL /Oracle)
   Should have good experience in writing queries, performance management, query optimization etc.

1. Should be able to work independently and should have strong debugging skills

• Secondary skills : (Good to have)

1. Siebel certification
2. Exposure to Agile
3. Exposure to HP ALM and JIRA

1. Candidate’s overall experience should be min 5 years to max 8 years.