26 Birla Institute Of Technology And Science jobs in India

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Major Duties & Responsibilities

•Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
•Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects
•Influence machine learning strategy for Digital programs and projects
•Make solution recommendations that appropriately balance speed to market and analytical soundness
•Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
•Develop analytical / modelling solutions using a variety of commercial and open-source tools (, Python, R, TensorFlow)
•Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
•Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
•Create algorithms to extract information from large, multiparametric data sets.
•Deploy algorithms to production to identify actionable insights from large databases.
•Compare results from various methodologies and recommend optimal techniques.
•Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
•Develop and embed automated processes for predictive model validation, deployment, and implementation
•Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
•Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
•Lead discussions at peer review and use interpersonal skills to positively influence decision making
•Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices
•Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Required Qualifications

•Bachelor of Science or Bachelor of Engineering at a minimum.
•A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
•Advanced skills with statistical/programming software (, R, Python) and data querying languages (, SQL, Hadoop/Hive, Scala)
•Good hands-on skills in both feature engineering and hyperparameter optimization
•Experience producing high-quality code, tests, documentation
•Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
•Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
•Proficiency in statistical concepts and ML algorithms
•Good knowledge of Agile principles and process
•Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
•Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
•Self-motivated and a proactive problem solver who can work independently and in About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Major Duties & Responsibilities

•Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
•Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects
•Influence machine learning strategy for Digital programs and projects
•Make solution recommendations that appropriately balance speed to market and analytical soundness
•Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
•Develop analytical / modelling solutions using a variety of commercial and open-source tools (, Python, R, TensorFlow)
•Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
•Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
•Create algorithms to extract information from large, multiparametric data sets.
•Deploy algorithms to production to identify actionable insights from large databases.
•Compare results from various methodologies and recommend optimal techniques.
•Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
•Develop and embed automated processes for predictive model validation, deployment, and implementation
•Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
•Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
•Lead discussions at peer review and use interpersonal skills to positively influence decision making
•Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices
•Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Required Qualifications

•Bachelor of Science or Bachelor of Engineering at a minimum.
•A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
•Advanced skills with statistical/programming software (, R, Python) and data querying languages (, SQL, Hadoop/Hive, Scala)
•Good hands-on skills in both feature engineering and hyperparameter optimization
•Experience producing high-quality code, tests, documentation
•Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
•Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
•Proficiency in statistical concepts and ML algorithms
•Good knowledge of Agile principles and process
•Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
•Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
•Self-motivated and a proactive problem solver who can work independently and in teams

At Elanco (NYSE: ELAN) – it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.
We’re driven by our vision of ‘Food and Companionship Enriching Life’ and our approach to sustainability – the Elanco Healthy Purpose™ – to advance the health of animals, people, the planet and our enterprise. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment.
We believe that diversity is the driving force behind innovation, creativity, and overall business success.
Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals’ lives better makes life better – join our team today! Your Role: Manufacturing Science & Technology (MS&T) Manager – API As the MS&T Manager (internally known as Technical Services / Manufacturing Science – TS/MS), you will be part of the Elanco External Manufacturing (EEM) Global API Hub team.
In this role, you will partner with Quality, Operations, Supply Chain, and R&D to ensure reliable, compliant, and cost-effective API manufacturing.
You will be responsible for supporting established products through their commercial lifecycle, providing technical oversight, driving process improvements, and supporting regulatory submissions. Your Responsibilities: * Serve as the primary technical resource for assigned API manufacturing processes and provide on-site support as needed. * Lead technology transfer, process implementation, validation, and process improvements with focus on capability, compliance, cost, and regulatory impact. * Review and author technical and manufacturing documents (MBRs/eBRs, PQRs, validation reports, change controls, regulatory support documents). * Collaborate cross-functionally to troubleshoot manufacturing issues and support new product commercialization. * Support API regulatory activities, geo-expansion launches, and contract manufacturer technical due diligence. What You Need to Succeed (Minimum Qualifications): * Education: Bachelor’s degree in Chemistry or Chemical Engineering, or equivalent experience. * Experience: Minimum 5 years in API manufacturing with knowledge of cGMP requirements for drug substance/product manufacturing. * Skills: Strong problem-solving, stakeholder management, analytical, and communication skills. What Will Give You a Competitive Edge (Preferred Qualifications): * PhD in Chemistry or Chemical Engineering. * Experience in API process development, technology transfer, validation, and commercialization. * Knowledge of multiple technology platforms (small/large molecule, material science, oral solid dose, premixes). * Experience with continuous improvement, deviation management, and regulatory requirements (EDQM, CVM). * Proficiency in statistical tools (JMP, Minitab), quality document systems (e.g., Veeva), and AI-enabled technical tools. Additional Information: * Travel: 15–25% to global contract manufacturing sites. * Location: India Mumbai Don’t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification.
At Elanco we are dedicated to building a diverse and inclusive work environment.
If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply.
You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Responsibilities:

Serve as the primary technical resource for assigned API manufacturing processes and provide on-site support as needed.

Lead technology transfer, process implementation, validation, and process improvements with focus on capability, compliance, cost, and regulatory impact.

Review and author technical and manufacturing documents (MBRs/eBRs, PQRs, validation reports, change controls, regulatory support documents).

Collaborate cross-functionally to troubleshoot manufacturing issues and support new product commercialization.

Support API regulatory activities, geo-expansion launches, and contract manufacturer technical due diligence.

What You Need to Succeed (Minimum Qualifications):

Education : Bachelor’s degree in Chemistry or Chemical Engineering, or equivalent experience.

Experience : Minimum 5 years in API manufacturing with knowledge of cGMP requirements for drug substance/product manufacturing.

Skills : Strong problem-solving, stakeholder management, analytical, and communication skills.

What Will Give You a Competitive Edge (Preferred Qualifications):

PhD in Chemistry or Chemical Engineering.

Experience in API process development, technology transfer, validation, and commercialization.

Knowledge of multiple technology platforms (small/large molecule, material science, oral solid dose, premixes).

Experience with continuous improvement, deviation management, and regulatory requirements (EDQM, CVM).

Proficiency in statistical tools (JMP, Minitab), quality document systems (, Veeva), and AI-enabled technical tools.

Additional Information:

Travel : 15–25% to global contract manufacturing sites.

Location : India Mumbai

Don’t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

**Description**
Burns & McDonnell India is looking for a Structural Engineer interested in growing their career in an organization listed among the top 100 Great Places to work in India. The "Global Facilities" (GFS) business unit handles engineering of facilities in the North America region, which includes Food & Beverage facilities, Consumer Product Facilities, Aerospace Facilities, Life Sciences Facilities, Hyper-scale Data Centers, Commercial Facilities, Healthcare Facilities and Utility Plants. The Mumbai office has a full complement of professionals with expertise in architecture, civil, electrical, control & automation, fire protection, mechanical, structural engineering, and project management.
* Key Responsibilities:
o Responsible for analysis and design of various superstructures and foundations for industrial
facilities, design of steel and concrete buildings.
o Preparing a detailed design calculation report and reviewing the detailed drawings and layout.
o Geotechnical report review, analysis, and provide comments/clarifications.
o Review of equipment vendor drawings and fabrication drawings.
o Coordinate with other disciplines, client(s) and other stakeholders to develop a clash-free
system design.
o Responsible for managing the assigned scope within the agreed schedule and budget.
o Strong analytical and problem-solving skills, strong Interpersonal skills
o Ability to self-check and produce accurate work.
o Identify project-specific skill requirements and assign qualified staff in consultation with DM.
o Willing to advance in career by taking increased responsibilities on projects and organization.
o Responsible for compliance with company and site safety policies.
o A committed team player able to work on own initiative.
o Responsible for effective communication with other engineering disciplines.
o All other duties as assigned.
**Qualifications**
o Bachelor's degree in Civil Engineering from a recognized institution.
o Dynamic personality, eager to learn and interested in a stable commitment.
o Excellent written and verbal communication skills.
Qualifications & Skillsets:
o Exposure to any design software/tool like STAAD Pro, RISA 3D, SAFE, ETABS etc.
o AutoCAD
o Knowledge of Revit or Navisworks will be an added advantage
o Microsoft Office Tools - MS Word, MS Excel, MS PowerPoint, Outlook, OneNote
**Job** Engineering
**Primary Location** India-Maharashtra-Mumbai
**Schedule:** Full-time
**Travel:** No
**Req ID:**
**Job Hire Type** Experienced Not Applicable #BMI N/A

**Description**
Burns & McDonnell India is looking for an experienced Mechanical Designer interested in growing their careers in an organization listed among top 100 Great Places to work in India. The "Global Facilities" (GFS)businessunithandlesengineeringoffacilitiesintheNorthAmericaregionwhichincludesfood& beverage facilities, consumer product facilities, aerospace facilities, life sciences facilities, hyper scale datacenters, commercial facilities, healthcare facilities and utility plants. The Mumbai office has a full complement of professionals withexpertise in architecture, civil, electrical, control & automation, fire protection, mechanical, structural engineering, and project management.
+ Develop and revise 3D piping design models using SP3D software.
+ Collaborate with project engineers and managers to meet project specifications.
+ Produce detailed piping layout drawings and isometrics.
+ Ensure compliance with industry standards and project requirements.
+ Validate and check piping models for accuracy and consistency.
+ Participate in design reviews and provide technical support.
+ Resolve design-related issues and perform necessary revisions.
**Qualifications**
+ Diploma in Mechanical Engineering or Graduate in Non-Engg domain with piping design & drafting course.
+ Proficiency CAD & 3D modeling software's such as Autodesk REVIT, AutoCAD, AutoCAD Plant 3D, Intergraph CADWorx etc
+ Strong understanding of Piping design principles & standards
+ Ability to read and interpret P&IDs, piping specifications, and technical drawings.
+ Strong attention to details and problem-solving abilities
+ Good communication and teamwork abilities.
**Job** Engineering
**Primary Location** India-Maharashtra-Mumbai
**Schedule:** Full-time
**Travel:** No
**Req ID:**
**Job Hire Type** Contingent Worker (CWK) Not Applicable #BMI N/A

• Lead end-to-end project management for IT/technology initiatives in the pharma/life sciences domain, ensuring timely delivery and within budget.
• Collaborate with cross-functional teams including R&D, Quality, Manufacturing, Regulatory, and Commercial teams.
• Define project scope, objectives, deliverables, milestones, and timelines.
• Manage vendor coordination, software implementation, system integration, and infrastructure deployments.
• Ensure alignment of projects with industry regulations such as GxP, CFR Part 11, HIPAA, GDPR , etc.
• Prepare detailed project plans, status reports, risk mitigation strategies, and issue logs.
• Act as a single point of contact for stakeholders, ensuring effective communication and expectation management.
• Facilitate change management, training, and adoption strategies.
• Ensure adherence to internal project governance, compliance, and validation procedures.

Requirements

• 10–12 years of total experience in IT/Technology Project Management, with at least 5 years in the Pharma/Life Sciences domain .
• Proven experience managing technology transformation, digital health, lab systems (e.g., LIMS, ELN), clinical systems (e.g., CTMS), manufacturing systems or similar.
• Strong understanding of regulatory environments and compliance standards (FDA, GxP, CSV, etc.).
• Hands-on experience with Agile, Scrum, or Hybrid delivery methodologies .
• Ability to manage cross-functional teams and third-party vendors.
• Excellent communication, stakeholder management, and leadership skills.
• PMP/Prince2/CSM certification is a plus.

Good to Have:

• Experience with data platforms, analytics in pharma, or AI/ML initiatives in life sciences.
• Exposure to cloud migrations, enterprise platforms like SAP, Veeva, Oracle Health Sciences, etc.
• Prior experience with global project rollouts across geographies.
• Understanding of pharma manufacturing processes, quality control, or clinical development lifecycle.