23 Engineers jobs in Aurangabad
AI Cloud Engineers
Posted today
Job Viewed
Job Description
About the Company: Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.
Website
Position Summary:
We are seeking a highly skilled and experienced AI/ML Engineer with 3-5 years of hands-on experience in developing and deploying advanced AI solutions, specifically focusing on Generative AI and Agentic AI. The ideal candidate will possess a strong understanding of large language models (LLMs), prompt engineering, and the principles behind building autonomous AI agents capable of reasoning, planning, and taking actions to achieve complex objectives. You will be instrumental in designing, implementing, and integrating these cutting-edge AI systems on leading cloud platforms (AWS, Azure, or GCP).
Key Responsibilities:
• Generative AI Development: Design, develop, and implement advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) for diverse applications such as content creation, code generation, data synthesis, or other relevant domains.
• Agentic AI System Design & Implementation: Architect, develop, and deploy autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention.
• Prompt Engineering & Orchestration: Master prompt engineering techniques to optimize the behavior and output of LLMs and design sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows.
• Cloud Platform Deployment: Leverage expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines. Utilize relevant cloud services (e.g., AWS SageMaker, Azure ML, Google AI Platform, Kubernetes, serverless functions, MLOps tools).
• Model Training & Optimization: Train, fine-tune, and optimize generative and agentic AI models for performance, scalability, reliability, and efficiency, utilizing large datasets and advanced techniques.
• Tool Integration for Agents: Integrate AI agents with various external tools, APIs, and data sources to expand their capabilities and enable them to interact with real-world systems.
• Data Management for AI: Work with large and diverse datasets, including data collection, cleaning, transformation, and feature engineering, to ensure high-quality input for both generative and agentic models. This includes handling unstructured data (PDFs, HTML, audio, video) for processing.
• Research & Innovation: Stay abreast of the latest advancements in Generative AI, Agentic AI, LLMs, and multi-agent systems research. Experiment with new frameworks (e.g., LangChain, AutoGen, CrewAI, LangGraph, Semantic Kernel) and identify opportunities to apply novel techniques.
• MLOps & Productionization: Implement robust MLOps practices for the full lifecycle of AI models, including versioning, continuous integration/continuous delivery (CI/CD), monitoring, and automated retraining. Ensure the reliability and scalability of deployed AI systems.
• Evaluation & Responsible AI: Develop and implement rigorous evaluation frameworks for assessing the performance, safety, and ethical implications of generative and agentic AI systems. Promote and adhere to principles of responsible AI development.
• Collaboration & Communication: Collaborate effectively with cross-functional teams (data scientists, software engineers, product managers, business stakeholders) to translate business requirements into technical solutions and communicate complex AI concepts clearly.
Required Skills & Qualifications:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
• 3-5 years of hands-on experience in AI/ML engineering, with a demonstrable focus on Generative AI and/or Agentic AI projects.
• Strong practical experience with Generative AI models (e.g., LLMs, Transformers, GANs, Diffusion Models) and their applications.
• Hands-on experience in designing, building, and deploying autonomous AI agents or multi-agent systems, utilizing frameworks like LangChain, AutoGen, CrewAI, or LangGraph.
• Proficiency in Python and strong experience with major ML frameworks such as TensorFlow, PyTorch, or Keras.
• Demonstrated experience with prompt engineering techniques for optimizing LLM behavior.
• Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform:
o AWS: Experience with services like SageMaker, EC2, Lambda, Bedrock, Open Search.
o Azure: Experience with Azure Machine Learning, Azure Functions, Azure OpenAI Service.
o GCP: Experience with Google AI Platform (Vertex AI), Cloud Functions.
• Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences.
Preferred Skills (Nice to Have):
• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and knowledge graphs.
• Familiarity with full-stack development, including building RESTful APIs using frameworks like FastAPI, Flask, or Django.
• Experience with model evaluation tools like DeepEval, FMeval, or RAGAS.
• Knowledge of prompt engineering frameworks (e.g., LangChain, LlamaIndex).
• Knowledge of reinforcement learning and multi-agent reinforcement learning.
• Contributions to open-source AI projects or relevant publications.
• Experience with data orchestration tools (e.g., Apache Airflow).
AI Cloud Engineers
Posted 10 days ago
Job Viewed
Job Description
About the Company: Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.
Website
Position Summary:
We are seeking a highly skilled and experienced AI/ML Engineer with 3-5 years of hands-on experience in developing and deploying advanced AI solutions, specifically focusing on Generative AI and Agentic AI. The ideal candidate will possess a strong understanding of large language models (LLMs), prompt engineering, and the principles behind building autonomous AI agents capable of reasoning, planning, and taking actions to achieve complex objectives. You will be instrumental in designing, implementing, and integrating these cutting-edge AI systems on leading cloud platforms (AWS, Azure, or GCP).
Key Responsibilities:
• Generative AI Development: Design, develop, and implement advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) for diverse applications such as content creation, code generation, data synthesis, or other relevant domains.
• Agentic AI System Design & Implementation: Architect, develop, and deploy autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention.
• Prompt Engineering & Orchestration: Master prompt engineering techniques to optimize the behavior and output of LLMs and design sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows.
• Cloud Platform Deployment: Leverage expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines. Utilize relevant cloud services (e.g., AWS SageMaker, Azure ML, Google AI Platform, Kubernetes, serverless functions, MLOps tools).
• Model Training & Optimization: Train, fine-tune, and optimize generative and agentic AI models for performance, scalability, reliability, and efficiency, utilizing large datasets and advanced techniques.
• Tool Integration for Agents: Integrate AI agents with various external tools, APIs, and data sources to expand their capabilities and enable them to interact with real-world systems.
• Data Management for AI: Work with large and diverse datasets, including data collection, cleaning, transformation, and feature engineering, to ensure high-quality input for both generative and agentic models. This includes handling unstructured data (PDFs, HTML, audio, video) for processing.
• Research & Innovation: Stay abreast of the latest advancements in Generative AI, Agentic AI, LLMs, and multi-agent systems research. Experiment with new frameworks (e.g., LangChain, AutoGen, CrewAI, LangGraph, Semantic Kernel) and identify opportunities to apply novel techniques.
• MLOps & Productionization: Implement robust MLOps practices for the full lifecycle of AI models, including versioning, continuous integration/continuous delivery (CI/CD), monitoring, and automated retraining. Ensure the reliability and scalability of deployed AI systems.
• Evaluation & Responsible AI: Develop and implement rigorous evaluation frameworks for assessing the performance, safety, and ethical implications of generative and agentic AI systems. Promote and adhere to principles of responsible AI development.
• Collaboration & Communication: Collaborate effectively with cross-functional teams (data scientists, software engineers, product managers, business stakeholders) to translate business requirements into technical solutions and communicate complex AI concepts clearly.
Required Skills & Qualifications:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
• 3-5 years of hands-on experience in AI/ML engineering, with a demonstrable focus on Generative AI and/or Agentic AI projects.
• Strong practical experience with Generative AI models (e.g., LLMs, Transformers, GANs, Diffusion Models) and their applications.
• Hands-on experience in designing, building, and deploying autonomous AI agents or multi-agent systems, utilizing frameworks like LangChain, AutoGen, CrewAI, or LangGraph.
• Proficiency in Python and strong experience with major ML frameworks such as TensorFlow, PyTorch, or Keras.
• Demonstrated experience with prompt engineering techniques for optimizing LLM behavior.
• Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform:
o AWS: Experience with services like SageMaker, EC2, Lambda, Bedrock, Open Search.
o Azure: Experience with Azure Machine Learning, Azure Functions, Azure OpenAI Service.
o GCP: Experience with Google AI Platform (Vertex AI), Cloud Functions.
• Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences.
Preferred Skills (Nice to Have):
• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and knowledge graphs.
• Familiarity with full-stack development, including building RESTful APIs using frameworks like FastAPI, Flask, or Django.
• Experience with model evaluation tools like DeepEval, FMeval, or RAGAS.
• Knowledge of prompt engineering frameworks (e.g., LangChain, LlamaIndex).
• Knowledge of reinforcement learning and multi-agent reinforcement learning.
• Contributions to open-source AI projects or relevant publications.
• Experience with data orchestration tools (e.g., Apache Airflow).
Revit Structural Engineers - experienced only!!
Posted today
Job Viewed
Job Description
Binder is looking for you!
Read before you apply:
- Only Revit structural engineers.
- Extensive Revit experience.
- Bachelor of Engineering.
- Make sure you meet the requirements before you apply.
- If you applied to Binder structure positions in the past and went through the process, please do not apply.
An amazing work from home opportunity for experienced structural engineers from India with wide Revit capabilities.
We are Binder, an amazing outstaffing company giving architectural and Emgineering services to clients around the world.
Visit our website @ binder-teams.com . A great opportunity for the chosen candidates.
All the work will be done remotely. Long period Full time job. Growth opportunities.
Requirements:
- Bachlor degree from a respected university.
- At least 4 years of experience as a structural engineer, in well-organized firm working on significant projects.
- At least 4 years of experience working in Revit. Only Revit wizards!
- Autocade experience and control.
- Experience in working in a BIM environment.
- Fluent English and good communication skills.
- Good homework station with high-speed internet.
Binder Team
Experienced Revit MEP Engineers (plumbing)
Posted today
Job Viewed
Job Description
Binder is looking for you!
Read before you apply:
- Only MEP Plumbing Revit engineers.
- Extensive Plumbing or Mechanical Revit modelling experience.
- Make sure you meet the requirements before you apply.
An amazing work from home opportunity for experienced Plumbing engineers from India with wide Revit capabilities.
We are Binder, an amazing outstaffing company giving architectural and engineering Revit services to clients around the world.
Visit our website @ binder-teams.com . A great opportunity for the chosen candidates.
All the work will be done remotely. Long period Full time job. Growth opportunities.
Requirements:
- Bachlor degree from a respected university.
- At least 4 years of experience as a MEP (Plumbing) engineer, in a well-organized firm working on significant projects.
- At least 4 years of experience working in Revit. Only Revit wizards!
- Autocade experience and control.
- Experience in working in a BIM environment.
- Fluent English and good communication skills.
- Good homework station with high-speed internet. A computer suitable for working with Revit in large scale projects.
Binder Team
Experienced Revit MEP Engineers (plumbing)
Posted 10 days ago
Job Viewed
Job Description
Binder is looking for you!
Read before you apply:
- Only MEP Plumbing Revit engineers.
- Extensive Plumbing or Mechanical Revit modelling experience.
- Make sure you meet the requirements before you apply.
An amazing work from home opportunity for experienced Plumbing engineers from India with wide Revit capabilities.
We are Binder, an amazing outstaffing company giving architectural and engineering Revit services to clients around the world.
Visit our website @ binder-teams.com . A great opportunity for the chosen candidates.
All the work will be done remotely. Long period Full time job. Growth opportunities.
Requirements:
- Bachlor degree from a respected university.
- At least 4 years of experience as a MEP (Plumbing) engineer, in a well-organized firm working on significant projects.
- At least 4 years of experience working in Revit. Only Revit wizards!
- Autocade experience and control.
- Experience in working in a BIM environment.
- Fluent English and good communication skills.
- Good homework station with high-speed internet. A computer suitable for working with Revit in large scale projects.
Binder Team
Revit Structural Engineers - experienced only!!
Posted 14 days ago
Job Viewed
Job Description
Binder is looking for you!
Read before you apply:
- Only Revit structural engineers.
- Extensive Revit experience.
- Bachelor of Engineering.
- Make sure you meet the requirements before you apply.
- If you applied to Binder structure positions in the past and went through the process, please do not apply.
An amazing work from home opportunity for experienced structural engineers from India with wide Revit capabilities.
We are Binder, an amazing outstaffing company giving architectural and Emgineering services to clients around the world.
Visit our website @ binder-teams.com . A great opportunity for the chosen candidates.
All the work will be done remotely. Long period Full time job. Growth opportunities.
Requirements:
- Bachlor degree from a respected university.
- At least 4 years of experience as a structural engineer, in well-organized firm working on significant projects.
- At least 4 years of experience working in Revit. Only Revit wizards!
- Autocade experience and control.
- Experience in working in a BIM environment.
- Fluent English and good communication skills.
- Good homework station with high-speed internet.
Binder Team
ASIC Physical Design Engineers (PD + Automation)
Posted today
Job Viewed
Job Description
Location: Bengaluru, India
Experience:
- Senior Engineer: 3–5 years (Industry Experience Strictly )
- Lead Engineer: 6–8 years (Industry Experience Strictly )
Educational Qualifications
- Minimum: B.E./B.Tech in Electronics, Electrical, Electronics & Communication, or related field from a recognized university.
- Preferred: M.E./M.Tech in VLSI Design, Microelectronics, or a related specialization.
- Candidates from both semiconductor service companies and product companies are welcome—what matters most is strong, hands-on expertise in Physical Design and EDA tool flows.
What You’ll Do
- Own end-to-end Physical Design flow : floorplanning, placement, CTS, routing, ECOs, IR drop analysis, physical verification (DRC/LVS).
- Drive Static Timing Analysis (STA) closure across PVT corners.
- Script automation in Tcl/Perl to optimize and streamline PD workflows.
- Collaborate with DFT, DV, and Design teams for smooth handoff & integration.
- Work on Synopsys or Cadence EDA tools.
- Contribute to AI-assisted PD automation initiatives for better PPA and faster closure.
What We’re Looking For
- Proven hands-on experience in ASIC Physical Design and STA.
- Strong scripting skills (Tcl, Perl; Python a plus).
- Deep knowledge of PD sign-off flows, IR drop, clock tree optimization, and ECOs.
- Exposure to multiple foundry nodes a plus (FinFET preferred).
- Problem-solving mindset with a “first-time-right” execution approach.
- Experience from product companies or service firms — both welcome.
Why Seminovaa?
- Core team role with direct impact and ownership.
- Work on global, high-impact projects with industry veterans.
- Startup agility + deep-tech challenge = accelerated growth for your career.
- Employee-first culture — flexibility, transparency, and respect for your work-life balance.
Apply Now — Send your profile to
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ASIC Physical Design Engineers (PD + Automation)
Posted today
Job Viewed
Job Description
Location: Bengaluru, India
Experience:
- Senior Engineer: 3–5 years (Industry Experience Strictly )
- Lead Engineer: 6–8 years (Industry Experience Strictly )
Educational Qualifications
- Minimum: B.E./B.Tech in Electronics, Electrical, Electronics & Communication, or related field from a recognized university.
- Preferred: M.E./M.Tech in VLSI Design, Microelectronics, or a related specialization.
- Candidates from both semiconductor service companies and product companies are welcome—what matters most is strong, hands-on expertise in Physical Design and EDA tool flows.
What You’ll Do
- Own end-to-end Physical Design flow : floorplanning, placement, CTS, routing, ECOs, IR drop analysis, physical verification (DRC/LVS).
- Drive Static Timing Analysis (STA) closure across PVT corners.
- Script automation in Tcl/Perl to optimize and streamline PD workflows.
- Collaborate with DFT, DV, and Design teams for smooth handoff & integration.
- Work on Synopsys or Cadence EDA tools.
- Contribute to AI-assisted PD automation initiatives for better PPA and faster closure.
What We’re Looking For
- Proven hands-on experience in ASIC Physical Design and STA.
- Strong scripting skills (Tcl, Perl; Python a plus).
- Deep knowledge of PD sign-off flows, IR drop, clock tree optimization, and ECOs.
- Exposure to multiple foundry nodes a plus (FinFET preferred).
- Problem-solving mindset with a “first-time-right” execution approach.
- Experience from product companies or service firms — both welcome.
Why Seminovaa?
- Core team role with direct impact and ownership.
- Work on global, high-impact projects with industry veterans.
- Startup agility + deep-tech challenge = accelerated growth for your career.
- Employee-first culture — flexibility, transparency, and respect for your work-life balance.
Apply Now — Send your profile to
Consultant - Project Management
Posted today
Job Viewed
Job Description
As a PMO Project Manager, you will be responsible for delivering consistent project governance, supporting commercial and planning aspects of project delivery, and ensuring alignment with strategic objectives across a portfolio of infrastructure and property projects. You will work closely with technical delivery teams, clients, and internal stakeholders to ensure successful project outcomes.
Responsibilities for Internal Candidates
Project Governance & Delivery
- Lead and support project planning, controls, and reporting in line with BMS and PMO frameworks.
- Ensure project compliance with governance standards and contractual obligations.
- Maintain project reporting calendars and coordinate periodic reviews.
Financial & Resource Management
- Develop and maintain project finance dashboards and EAC forecasts.
- Track team utilisation and support resource planning across multiple projects.
- Manage onboarding/offboarding processes and maintain compliance matrices
Stakeholder & Client Engagement
- Act as a focal point for client communications and issue resolution.
- Support project managers and technical leads in delivering design deliverables.
- Participate in PMO Steering Group initiatives and strategy refinement
Risk, Change & Quality Control
- Maintain risk registers and implement mitigation strategies.
- Oversee change control processes and associated financials.
- Promote continuous improvement in project delivery and PMO operations
Qualifications for Internal Candidates
- 7–10 years of experience in project management, preferably within infrastructure, property, or consultancy environments.
- Strong understanding of project controls, governance, and financial tracking.
- Proficiency in MS Project, Power BI, and Primavera (P6) is desirable
- Excellent communication and stakeholder management skills.
- APM, Prince 2, PMP, MRICS or equivalent project management certification preferred.
Consultant - Project Management
Posted today
Job Viewed
Job Description
As a PMO Project Manager, you will be responsible for delivering consistent project governance, supporting commercial and planning aspects of project delivery, and ensuring alignment with strategic objectives across a portfolio of infrastructure and property projects. You will work closely with technical delivery teams, clients, and internal stakeholders to ensure successful project outcomes.
Responsibilities for Internal Candidates
Project Governance & Delivery
- Lead and support project planning, controls, and reporting in line with BMS and PMO frameworks.
- Ensure project compliance with governance standards and contractual obligations.
- Maintain project reporting calendars and coordinate periodic reviews.
Financial & Resource Management
- Develop and maintain project finance dashboards and EAC forecasts.
- Track team utilisation and support resource planning across multiple projects.
- Manage onboarding/offboarding processes and maintain compliance matrices
Stakeholder & Client Engagement
- Act as a focal point for client communications and issue resolution.
- Support project managers and technical leads in delivering design deliverables.
- Participate in PMO Steering Group initiatives and strategy refinement
Risk, Change & Quality Control
- Maintain risk registers and implement mitigation strategies.
- Oversee change control processes and associated financials.
- Promote continuous improvement in project delivery and PMO operations
Qualifications for Internal Candidates
- 7–10 years of experience in project management, preferably within infrastructure, property, or consultancy environments.
- Strong understanding of project controls, governance, and financial tracking.
- Proficiency in MS Project, Power BI, and Primavera (P6) is desirable
- Excellent communication and stakeholder management skills.
- APM, Prince 2, PMP, MRICS or equivalent project management certification preferred.