planning engineer

ai/ml engineer

project engineer

ai ml engineer

The Value Maximizer

<div>
 We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. You will be responsible for designing, developing, and deploying machine learning models and AI solutions that address complex challenges. The ideal candidate is proficient in Python, PyTorch, and statistical modeling and has a strong passion for leveraging AI to create impactful tools.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and optimize machine learning models and algorithms
 </li>
 <li>
 Implement and fine-tune deep learning models using frameworks like PyTorch and TensorFlow
 </li>
 <li>
 Analyze large, complex datasets to extract insights and identify patterns
 </li>
 <li>
 Develop scalable machine learning pipelines for training, validation, and deployment
 </li>
 <li>
 Collaborate with cross-functional teams to integrate ML models into production systems
 </li>
 <li>
 Stay up-to-date with the latest advancements in machine learning, deep learning, and AI technologies
 </li>
 <li>
 Document processes and model performance to ensure reproducibility and compliance. Qualifications
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 3+ years of experience in machine learning, deep learning, or AI tool development
 </li>
 <li>
 Proficiency in Python and experience with frameworks such as PyTorch and Tensorflow
 </li>
 <li>
 Solid understanding of statistical modeling, probability, and optimization techniques
 </li>
 <li>
 Experience with data preprocessing, feature engineering, and handling large datasets
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 Excellent communication and teamwork abilities
 </li>
 <li>
 Ability to work in a fast-paced, dynamic environment and manage multiple priorities
 </li>
 </ul>
</div>

AI/ML Engineer

UltraTech Cement

<div>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
 </li>
 <li>
 Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
 </li>
 <li>
 Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends &amp; patterns within big data sets to inform business decisions across functions &amp; at all levels. Clean, preprocess, &amp; transform the data to ensure it's of high quality, with missing values handled &amp; outliers addressed.
 </li>
 <li>
 Employ advanced analytics techniques for predictive modeling &amp; machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability &amp; resilience to ever-increasing external sources of variability.
 </li>
 <li>
 Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.
 </li>
 <li>
 Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.
 </li>
 <li>
 Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
 </li>
 <li>
 Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
 </li>
 <li>
 Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 B.E/B.tech/ PG in data science
 
 
 
 Location:
 
 Worli, Mumbai
 
 
 
</div>

Data Scientist - AGM/ DGM/ GM

Sutherland

<div>
 
 Company Description
 
 
 
 Sutherland is a digital transformation company focused on delivering exceptional experiences for both customers and employees. For over 37 years, we have been entrusted with caring for our clients&rsquo; customers - a responsibility we believe we should earn every day. We are dedicated to making those experiences as delightful as possible - instantaneous, relevant, predictive and frictionless. As an early pioneer in robotic automation, we added to our core through steady investment and acquiring key capabilities. Our design capabilities marry human insight, design-thinking, and process engineering. To make these designs come to life as envisioned by our designers, we employ the latest in robotic automation, conversational AI techniques with a range of AI-ML enhanced products and cloud-based platforms.
 
 
 We believe that the best relationships come from trust and value. We call it One Sutherland.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Be the primary point of contact for our Business-to-Business customers through Calls, Email &amp; Chat.
 </li>
 <li>
 Provide timely, accurate, and professional support while maintaining service-level agreements (SLAs).
 </li>
 <li>
 Take full ownership of each interaction with proactive problem-solving and excellent customer service.
 </li>
 <li>
 Handle sensitive issues with a positive and empathetic approach, always portraying the brand in a positive light.
 </li>
 <li>
 Maintain customer records and call documentation in our systems with precision.
 </li>
 <li>
 Meet performance metrics such as quality, productivity, attendance, and first-contact resolution.
 </li>
 <li>
 Suggest process improvements and flag recurring customer issues through proper channels.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Good verbal and written communication skills in English.
 </li>
 <li>
 Strong customer service mindset with good communication skills.
 </li>
 <li>
 Ability to empathize with customers, manage time effectively, and work independently.
 </li>
 <li>
 High school diploma or equivalent and above.
 </li>
 <li>
 0&ndash;2 years of experience (freshers welcome!).
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 <ul>
 <li>
 Working Location: Navi Mumbai , Airoli
 </li>
 <li>
 Timings: 8 Hours plus 1 Hour break
 </li>
 <li>
 Perks: Cab facilities available (within 25 Kms of office location).
 
 
 </li>
 </ul>
 
 Disclaimer:
 
 
 
 
 Sutherland never requests payment or favors in exchange for job opportunities. Please report any suspicious activity immediately to
 
 
 TAHelpdesk@Sutherlandglobal.com
 
</div>

Associate

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Level:
 
 Consultant
 
 
 As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3-6 Years of technology Consulting experience
 </li>
 <li>
 A minimum of 2 Years of experience in Cloud Operations
 </li>
 <li>
 High degree of knowledge using AWS services like lambda, GLUE, S3, Redshift, SNS, SQS and more.
 </li>
 <li>
 Strong scripting experience with python and ability to write SQL queries and string analytical skills.
 </li>
 <li>
 Experience working on CICD/DevOps is nice to have.
 </li>
 <li>
 Proven experience with agile/iterative methodologies implementing Cloud projects.
 </li>
 <li>
 Ability to translate business requirements and technical requirements into technical design.
 </li>
 <li>
 Good knowledge of end to end project delivery methodology implementing Cloud projects.
 </li>
 <li>
 Strong UNIX operating system concepts and shell scripting knowledge
 </li>
 <li>
 Good knowledge of cloud computing technologies and current computing trends.
 </li>
 <li>
 Effective communication skills (written and verbal) to properly articulate complicated cloud reports to management and other IT development partners.
 </li>
 <li>
 Ability to operate independently with clear focus on schedule and outcomes.
 </li>
 <li>
 Experience with algorithm development, including statistical and probabilistic analysis, clustering, recommendation systems, natural language processing, and performance analysis.
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Planning, designing and developing cloud-based applications
 </li>
 <li>
 Exceptional problem-solving skills, with the ability to see and solve issues
 </li>
 <li>
 Orchestrating and automating cloud-based platforms
 </li>
 <li>
 Continuously monitor the system effectiveness and performance and identify the areas for improvement, collaborating with key stakeholders
 </li>
 <li>
 Provide guidance and coaching to the team members as required and also contribute to documenting cloud operations playbook and providing thought leadership in development automation, CI/CD
 </li>
 <li>
 Exposure to data migration from on-premise data warehouse to the Snowflake Cloud Platform.
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 
 Location:
 
 
 
 Bengaluru/Hyderabad/Pune/Chennai/Kolkata
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 301813
</div>

Consultant-Amazon Web Services

Alkem Laboratories Ltd.

<div>
 
 
 
 About Alkem:
 
 
 
 
 
 
 
 Alkem Laboratories Limited is an Indian multinational pharmaceutical company headquartered in Mumbai, that manufactures and sells pharmaceutical generics, formulations and nutraceuticals in India and globally over 50 countries. We have consistently been ranked amongst the top five pharmaceutical companies in India. Our portfolio includes illustrious brands like Clavam, Pan, Pan-D, and Taxim-O, which feature amongst the top 50 pharmaceutical brands in India.
 
 
 
 
 
 
 
 Purpose of the Role:
 
 
 
 
 
 
 
 To serve as a strategic technology enabler for the Supply Chain, Procurement, and Logistics teams. The role focuses on enhancing operational efficiency, visibility, and compliance through digital transformation, automation, and data-driven decision-making.
 
 
 
 
 
 
 
 Essential Duties and Responsibilities:
 
 
 
 
 
 
 
 
 IT Strategy &amp; Business Alignment
 
 
 <ul>
 <li>
 Act as the primary IT liaison for Supply Chain, Procurement, and Logistics teams, ensuring alignment of IT solutions with business objectives.
 </li>
 <li>
 Develop and implement digital roadmaps for supply chain automation, inventory optimization, and logistics tracking.
 </li>
 <li>
 Ensure compliance with Indian and global regulations.
 </li>
 </ul>
 
 
 
 
 
 Technology &amp; Digital Transformation Initiatives
 
 
 <ul>
 <li>
 Lead implementation and integration of supply chain management systems (SCMS) with enterprise platforms like SAP S/4HANA.
 </li>
 <li>
 Drive automation in procurement, warehouse management, and logistics tracking using IoT, RFID, and AI/ML technologies.
 </li>
 <li>
 Enable predictive analytics for demand forecasting, inventory planning, and supplier performance.
 </li>
 <li>
 Implement digital dashboards for real-time visibility into supply chain KPIs and logistics operations.
 </li>
 <li>
 Oversee integration of vendor portals and transport management systems (TMS) for streamlined operations.
 </li>
 </ul>
 
 
 Process Optimization &amp; Performance Management
 
 
 <ul>
 <li>
 Enhance operational efficiency through mobile-first solutions for warehouse operations, delivery tracking, and procurement approvals.
 </li>
 <li>
 Enable advanced analytics for supplier segmentation, risk management, and cost optimization.
 </li>
 <li>
 Improve compliance reporting and audit readiness through automated workflows and digital documentation.
 </li>
 </ul>
 
 
 Vendor &amp; Stakeholder Management
 
 
 <ul>
 <li>
 Collaborate with Supply Chain, Procurement, Quality, Regulatory, and Finance teams to align IT initiatives with business needs.
 </li>
 <li>
 Manage external vendors and technology partners for timely and cost-effective implementation of supply chain technologies.
 </li>
 <li>
 Ensure robust IT governance, cybersecurity, and data privacy across all supply chain platforms.
 </li>
 </ul>
 
 
 
 
 
 
 Education Background:
 
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Information Technology, Supply Chain Management, or Business Administration (or a related field).
 </li>
 </ul>
 
 
 
 
 
 
 Experience:
 
 
 
 
 
 
 <ul>
 <li>
 10+ years of experience in the pharma or chemical manufacturing industry in IT leadership roles focused on supply chain and logistics technologies.
 </li>
 <li>
 Deep expertise in ERP systems (e.g., SAP S/4HANA), SCMS, and TMS platforms.
 </li>
 <li>
 Strong knowledge of supply chain automation, predictive analytics, and digital logistics solutions.
 </li>
 <li>
 Experience with vendor management systems, procurement platforms, and warehouse automation tools.
 </li>
 <li>
 Comprehensive understanding of regulatory compliance in pharma logistics (GDP, Drug &amp; Cosmetics Act, data privacy laws).
 </li>
 <li>
 Proven stakeholder management, project leadership, and vendor negotiation skills.
 </li>
 </ul>
 
 
</div>

IT Business Partner - Supply Chain & Logistics

Procter & Gamble

<div>
 
 Job Location
 
 
 
 Mumbai
 
 
 
 Job Description
 
 
 
 P&amp;G was founded over 180 years ago as a simple soap and candle company. Today, we're the world&rsquo;s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
 
 
 
 Dedication from Us:
 
 
 
 You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship &ndash; work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment&ndash; employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
 
 
 
 Overview Of The Job
 
 
 
 Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
 
 
 Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
 
 
 
 Your team
 
 
 
 This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
 
 
 
 How Success Looks Like
 
 
 
 <ul>
 <li>
 Enabling savings every year on base budget as per the masterplan
 </li>
 <li>
 Delivering touchless digital transformation masterplan and reapplying across the globe.
 </li>
 </ul>
 <li>
 
 
 </li>
 
 Responsibilities Of The Role
 
 
 
 <ul>
 <li>
 Provides technical leadership in supporting OU innovation projects.
 </li>
 <li>
 Acts as a key enabler in leading and delivering results against challenges.
 </li>
 <li>
 Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
 </li>
 <li>
 Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
 </li>
 <li>
 Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
 </li>
 <li>
 Work with process/equipment authorities and application developers to identify data relevant for analysis.
 </li>
 <li>
 Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
 </li>
 <li>
 Develop and maintain key data pipelines across selected sites globally
 </li>
 <li>
 Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
 </li>
 <li>
 Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
 </li>
 <li>
 Identify, diagnose, and resolve prognostics model performance issue.
 </li>
 <li>
 Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's in engineering/computer Sci
 </li>
 <li>
 Experience with Machine Learning Techniques
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
 </li>
 <li>
 Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
 </li>
 <li>
 Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
 </li>
 <li>
 Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
 </li>
 <li>
 Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
 </li>
 <li>
 Experience in advance analytics, big data, machine learning.
 </li>
 <li>
 Experience in designing visualization to improve user experience and effective decision making
 </li>
 <li>
 Innovation Approach &ndash; Ability to assess business operations and find opportunities, then drive case
 </li>
 <li>
 Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
 </li>
 <li>
 Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
 </li>
 <li>
 IT Security &amp; Risk &ndash; In touch with modern IT security risks and principles.
 </li>
 <li>
 Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
 </li>
 <li>
 Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
 
 
 </li>
 </ul>
 We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always&reg;, Ariel&reg;, Gillette&reg;, Head &amp; Shoulders&reg;, Herbal Essences&reg;, Oral-B&reg;, Pampers&reg;, Pantene&reg;, Tampax&reg; and more. Our community includes operations in approximately 70 countries worldwide.
 
 
 Visit http://www.pg.com to know more.
 
 
 We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
 
 
 
 
 &ldquo;At P&amp;G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics &amp; Corporate Responsibility guiding everything we do.
 
 
 
 
 
 
 All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.&rdquo;
 
 
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000137873
 
 
 
 Job Segmentation
 
 
 
 Entry Level
</div>

Data Scientist

<div>
 
 
 Your potential, unleashed.
 
 
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.
 
 
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 The team
 
 
 
 
 
 The Information Technology department is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers &amp; designers, data scientists and product managers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1.
 
 NLP Model Development
 
 : Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.
 
 
 
 
 2.
 
 Data Preprocessing and Feature Engineering
 
 : Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.
 
 
 
 
 
 3.
 
 Model Evaluation and Validation
 
 : Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.
 
 
 
 
 
 4.
 
 NLP Integration
 
 : Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.
 
 
 
 
 
 5.
 
 Research and Innovation
 
 : Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.
 
 
 
 
 
 6.
 
 Data Analysis and Visualization
 
 : Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.
 
 
 
 
 
 7.
 
 Documentation and Reporting
 
 : Document methodologies, findings, and insights from NLP projects in clear and concise reports. Communicate technical concepts and results to both technical and non-technical audiences, including management and business stakeholders.
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 &bull;Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
 
 
 
 
 
 &bull;Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.
 
 
 
 
 
 &bull;Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.
 
 
 
 
 
 &bull;Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.
 
 
 
 
 
 &bull;Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
 
 
 
 
 
 &bull;Experience with containerization and orchestration technologies such as Docker and Kubernetes.
 
 
 
 
 
 &bull;Basic understanding of system design and ML-Ops practices.
 
 
 
 
 
 &bull;Excellent problem-solving skills and analytical thinking.
 
 
 
 
 
 &bull;Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
 
 
 
 
 
 &bull;Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 
 
 &bull;Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).
 
 
 
 
 
 &bull;Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.
 
 
 
 
 
 &bull;Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 Interview tips
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

Explore 45+ Ai ml engineer in Mumbai India this November. Find roles across top companies and apply now to boost your career.

45 ai ml engineer jobs IN Mumbai India

AI/ML Engineer

Data Scientist - AGM/ DGM/ GM

Associate

Consultant-Amazon Web Services

IT Business Partner - Supply Chain & Logistics

Data Scientist

Data Scientist