assistant manager-data science-gen ai engineer Jobs in Pune India

assistant manager-data science-gen ai engineer

associate, ml data operations, go-ai operations Jobs in Pune India

associate, ml data operations, go-ai operations

data engineer

data scientist

data scientist (lead)

assistant manager data science gen ai engineer

<div>
 
 Position Summary
 
 
 
 We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You&rsquo;ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation.
</div>

Assistant Manager-Data Science-Gen AI Engineer

Tata Communications Transformation Services (TCTS)

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Location: Pune
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 We are seeking a visionary and execution oriented Senior Manager to lead customer centric projects focused on AI powered and Autonomous Network Solutions, spanning wireless (4G/5G), wireline (fiber, broadband), and Fixed Wireless Access (FWA) domains.
 </li>
 <li>
 This role connects business strategy, technical innovation, and operational delivery, ensuring customer success through intelligent network transformation.
 </li>
 <li>
 Key Responsibilities AI and Autonomous Network Solutions Lead e2e engagement for AI enabled, closed loop autonomous network solutions across wireless, wireline, and FWA technologies.
 </li>
 <li>
 Translate customer requirements into delivery roadmaps featuring AI/ML models, LLM prompting, network self-healing, and predictive analytics.
 </li>
 <li>
 Oversee deployment of automation use cases like alarm correlation, anomaly detection, traffic prediction, and zero touch optimization.
 </li>
 <li>
 Sales Enablement and Solution Engineering Partner with sales, product, and pre sales engineering teams to design scalable, AI driven solutions for both wireless (4G/5G NSA/SA) and wireline networks (FTTx, xDSL, GPON, DOCSIS).
 </li>
 <li>
 Create and present business cases and proof of concepts (PoCs) tailored to hybrid network environments, including FWA deployment strategies. Develop proposals that address customer pain points using AI driven KPI insights, RF/wireline performance analytics, and capacity modelling.
 </li>
 <li>
 Project Leadership and Delivery Execution Manage cross functional delivery of multi technology engagements, from FWA rollout automation to AI driven fiber network analytics. Track timelines, budgets, risk mitigation plans, and outcomes using Agile or hybrid methodologies, ensuring high impact delivery aligned with customer goals.
 </li>
 <li>
 Drive adoption of autonomous workflows and AI based decisioning across planning, optimization, provisioning, and fault management. Customer Relationship and Stakeholder Management Act as the primary interface with customers for sales aligned project delivery, status updates, and solution expansion discussions.
 </li>
 <li>
 Conduct technical deep dives, workshops, and strategy sessions with telecom operators and enterprise clients.
 </li>
 <li>
 Foster long term client relationships by consistently demonstrating value through network intelligence, automation, and performance improvement. Innovation and Ecosystem Leadership Champion the use of generative AI, prompting, and large language models (LLMs)for automation and proactive network management.
 </li>
 <li>
 Collaborate with internal RandD, product management, and operations teams to evolve the service portfolio across wireless, wireline, and converged network domains. Influence the design and adoption of self-optimizing networks (SON), FWA performance platforms, and fiber diagnostics using AI.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Qualifications Bachelor/Master degree in Telecommunications, Computer Science,
 
 Data Science,or related fields.
 </li>
 <li>
 12 plus years of experience in telecom network services with 5 plus years in AI/automation leadership roles. Strong understanding of 4G/5G, FWA, and wireline network technologies (e.g. fiber broadband, GPON, DOCSIS, xDSL).
 </li>
 <li>
 Expertise in AI/ML (supervised/unsupervised learning), prompt engineering, automation scripting (Python, SQL), and analytics tools (Tableau, Power BI). PMP, Agile, or relevant delivery certifications preferred. Key Skills AI/ML in Network Optimization Prompt Engineering and LLM Integration Autonomous Wireless/Wireline Network Architectures Fixed Wireless Access (FWA) Deployment and Analytics RF and Fiber Network Planning and Performance Customer Engagement and Technical Presales Automation Frameworks and Closed Loop Operations Program Management and Cross Functional Leadership
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

Data Scientist

Atlas Copco Group

<div>
 Senior Engineer/Assistant Manager &ndash; CTS
 
 
 As a Senior Engineer/ Assistant Manager- CTS, your mission is to To provide professional service support to both local and global Customer Centres, ensuring customer satisfaction and operational excellence for Air Piston and MGS product lines You will report to CTS Manager-
 
 
 You will
 
 
 <ul>
 <li>
 Main Responsibilities: Customer Support &amp; Service Coordination
 </li>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Deliver day-to-day service support to Customer Centres using CTS tools.
 </li>
 <li>
 Ensure timely resolution of myQUEST tickets.
 </li>
 <li>
 Conduct field visits for root cause analysis and technical support.
 
 </li>
 </ul>
 </ul>
 </ul>
 Product Quality &amp; Warranty Management
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Collect and interpret product guarantee data from Customer Centres.
 </li>
 <li>
 Communicate findings to relevant departments for continuous product improvement.
 </li>
 <li>
 Manage PQM and TCM processes to reduce warranty costs and failure rates.
 </li>
 <li>
 Handle warranty claims through WAnT Claim Review.
 
 </li>
 </ul>
 </ul>
 Engineering Change &amp; Product Development
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Track and implement Engineering Change Bulletins (ECB) and Service Bulletins (SB).
 </li>
 <li>
 Actively participate in new product development meetings to ensure serviceability and lifecycle cost optimization.
 
 </li>
 </ul>
 </ul>
 Technical Documentation &amp; Information Flow
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Ensure timely access to service and technical information for all products.
 </li>
 <li>
 Regularly update Service and Maintenance Kits based on product design changes.
 </li>
 <li>
 Modify Approved Spare Lists (ASLs) in line with design notifications.
 
 </li>
 </ul>
 </ul>
 Failure Analysis &amp; Reporting
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Perform detailed failure report analysis to identify trends and root causes.
 </li>
 <li>
 Collaborate with cross-functional teams to drive corrective actions.
 
 
 </li>
 </ul>
 </ul>
 To succeed, you will need
 
 
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of field experience on customer technical support (Piston machines).
 </li>
 <li>
 Technical knowledge on compressors and compressed air ancillaries is a necessity.
 </li>
 <li>
 Should have strong knowledge of Atlas Copco products.
 </li>
 <li>
 Should be conversant with Atlas Copco standards, design and drawing methodology.
 </li>
 <li>
 Should interact with customers and visit them whenever necessary
 </li>
 <li>
 Strong knowledge of MS-office tools
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Good communication skills in English language (verbal and written)
 </li>
 <li>
 Should have very good analytical and problem-solving skills.
 </li>
 <li>
 Able to work within a time frame in line with management requirement.
 </li>
 <li>
 Able to plan and organize effectively with the right sense of urgency.
 </li>
 <li>
 Have a Customer Centric mindset.
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Degree/Diploma in Mechanical/Electrical
 
 
 </li>
 </ul>
 In return, we offer
 
 
 <ul>
 <li>
 Culture of trust and accountability
 </li>
 <li>
 Lifelong learning and career growth
 </li>
 <li>
 Innovation powered by people
 </li>
 <li>
 Comprehensive compensation and benefits
 </li>
 <li>
 Health and well-being
 
 
 </li>
 </ul>
 Job location
 
 
 On-Site
 
 
 This role requires you to work on-site at Product company, Talegaon, Pune India. You will be part of a dynamic team and enjoy the benefits of face-to-face collaboration.
 
 
 Contact information
 
 
 Talent Acquisition Team: Poonam Bhat
 
 
 
 Uniting curious minds
 
 
 
 Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.
</div>

Senior Engineer/ Assistant Manager-CTS

Uplers

<div>
 
 
 Senior Data Scientist + Instructor
 
 
 
 
 
 
 
 Experience:
 
 4 - 10 Years Exp
 
 
 
 Salary:
 
 Competitive
 
 
 
 Preferred Notice Period:
 
 Upto 30 Days
 
 
 
 Opportunity Type:
 
 Office (Pune)
 
 
 
 Placement Type:
 
 Full-time
 
 
 
 
 
 
 Note: This is a requirement for one of Uplers' Clients Newton School
 
 
 
 
 
 
 
 Must have skills:
 
 Machine Learning
 
 AND
 
 K-means
 
 AND
 
 Clustering
 
 
 
 
 
 
 About Newton School:
 
 
 
 Come be part of a rocket ship that&rsquo;s creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CRED&rsquo;s Kunal Shah, Flipkart&rsquo;s Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaan&rsquo;s Sujeet Kumar among others.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 <ul>
 <li>
 Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", &ldquo;Big Data&rdquo;, and &ldquo;Data Analytics&rdquo; courses, covering the full syllabus from foundational concepts to advanced techniques.
 </li>
 <li>
 Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.
 </li>
 <li>
 Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detection.
 </li>
 <li>
 Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.
 </li>
 <li>
 Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).
 </li>
 <li>
 Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).
 </li>
 <li>
 Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.
 </li>
 <li>
 Contribute to the academic and research environment of the department and the university.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
 </li>
 <li>
 Demonstrable 4-10 years of expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.
 </li>
 <li>
 Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
 </li>
 <li>
 Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.
 </li>
 <li>
 Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Experience in mentoring student teams for data science competitions or hackathons.
 </li>
 </ul>
 
 
 
 
 
 Perks &amp; Benefits:
 
 
 <ul>
 <li>
 Competitive salary packages aligned with industry standards.
 </li>
 <li>
 Access to state-of-the-art labs and classroom facilities.
 </li>
 <li>
 To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education!
 </li>
 </ul>
 
 
 
 
 
 How to apply for this opportunity?
 
 
 
 
 
 
 
 Easy 3 Step Process:
 
 
 <ul>
 <li>
 Click On Apply and register or log in to our portal
 </li>
 <li>
 Upload updated Resume &amp; complete the Screening Form
 </li>
 <li>
 Increase your chances of getting shortlisted &amp; meet the client for the Interview!
 </li>
 </ul>
 
 
 
 
 
 About Uplers:
 
 
 
 Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
 
 
 (Note: There are many more opportunities apart from this on the portal.)
 
 
 So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
 
</div>

Senior Data Scientist + Instructor

Syngenta

<div>
 
 Company Description
 
 
 
 Join Syngenta Group, a leader in agricultural innovation where technology meets purpose. As digital pioneers in AgTech, we're integrating AI across our value chain from smart breeding to precision agriculture. Our global team of 56,000 professionals is transforming sustainable farming worldwide. At Syngenta IT &amp; Digital, your expertise will directly impact food security and shape the future of agriculture through cutting-edge technology.
 
 
 Website address - https://www.syngentagroup.com/
 
 
 
 Job Description
 
 
 
 
 Role purpose
 
 
 
 The role will design, develop, and implement cutting-edge AI solutions that drive business value while ensuring technical excellence, scalability, and innovation in solving complex business challenges.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Developing and implementing innovative AI models / applications and solutions
 </li>
 <li>
 Data preprocessing, model training, and evaluation tasks
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
 </li>
 <li>
 Stay up to date on latest trends and new technologies in the AI space, evaluate their potential to introduce into our ecosystem based on their potential impact.
 
 
 </li>
 </ul>
 
 Knowledge, Experience &amp; Capabilities
 
 
 
 <ul>
 <li>
 Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.
 </li>
 <li>
 Strong interest in artificial intelligence, machine learning, Generative AI, LLMs, prompt engineering.
 </li>
 <li>
 Proficiency in programming languages such as Python
 </li>
 <li>
 Good understanding of front-end technologies like HTML/ CSS
 </li>
 <li>
 Good understanding of AWS cloud architecture including Sagemaker and Bedrock
 </li>
 <li>
 Knowledge of SAP is preferred
 </li>
 <li>
 Ability to use identify and re-use GitHub projects to solve business problems
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Effective communication and teamwork abilities.
 
 
 </li>
 </ul>
 
 Critical success factors &amp; key challenges
 
 
 
 <ul>
 <li>
 Strong algorithm design, logical and reasoning skills
 </li>
 <li>
 Ability to deliver POCs, MVPs, Experiments, technology evaluations following design thinking practices
 </li>
 <li>
 Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas
 </li>
 <li>
 Excellent communication and stakeholder management skills to explain technical information to individuals who don't have the same technical background
 </li>
 <li>
 Problem solving and decision-making skills
 </li>
 <li>
 Teamwork, team management and leadership skills
 
 
 </li>
 </ul>
 
 Innovations
 
 
 
 Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.
 
 
 
 Qualifications
 
 
 
 Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.
 
 
 
 Additional Information
 
 
 
 Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.
 
 
 Follow us on: LinkedIn
 
 
 LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all
</div>

AI Solution Engineer

Williams-Sonoma, Inc.

<div>
 
 
 JOB DESCRIPTION
 
 
 
 
 WILLIAMS-SONOMA INDIA
 
 
 
 Job Description
 
 
 
 __________________________________________________________________________________
 
 
 Work Location : Pune, India
 
 
 Job Title : Data Scientist (Lead)
 
 
 Business Unit : WSI Corporate Technology, Pune/Hyderabad
 
 
 Lead Data Scientist
 
 
 
 About The Role
 
 
 
 We are seeking an experienced Lead Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in advanced analytics, machine learning, and agentic AI, with a proven ability to lead complex projects from ideation to deployment. This role involves driving innovation, mentoring junior team members, and collaborating with cross-functional teams to deliver impactful, data-driven solutions in the retail sector.
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of advanced predictive models, agentic AI solutions, and statistical analyses to solve high-impact business problems.
 </li>
 <li>
 Analyze large, complex datasets to extract actionable insights and guide strategic decision-making.
 </li>
 <li>
 Drive exploratory data analysis (EDA) and communicate findings to both technical and non-technical stakeholders.
 </li>
 <li>
 Partner with business leaders and stakeholders to define analytical objectives, data requirements, and success metrics.
 </li>
 <li>
 Mentor and provide technical guidance to data scientists and ML engineers, fostering a culture of learning and innovation.
 </li>
 <li>
 Architect and optimize scalable data pipelines and workflows using Spark and other big data technologies.
 </li>
 <li>
 Oversee the integration of agentic AI models with traditional machine learning approaches, ensuring robust, autonomous, and multi-modal solutions.
 </li>
 <li>
 Monitor, evaluate, and continuously improve the performance of deployed models and analytics solutions.
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and best practices in AI, ML, and data science.
 </li>
 <li>
 Contribute to the development of data science standards, code reviews, and knowledge sharing within the team.
 
 
 
 </li>
 </ul>
 Criteria
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Data Science, Computer Science, Statistics, or a related field, or equivalent work experience.
 </li>
 <li>
 8+ years of experience in data science, machine learning, or a related role, with a track record of delivering production-grade solutions.
 </li>
 <li>
 Demonstrated expertise in agentic AI, generative AI, and multi-modal systems, including the development and deployment of autonomous agents.
 </li>
 <li>
 Advanced proficiency in Python, NumPy, Scikit-learn, TensorFlow, PyTorch, Scala, or similar languages and frameworks.
 </li>
 <li>
 Working experience with big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms.
 </li>
 <li>
 Deep understanding of statistical modeling, machine learning algorithms, and best practices for model validation and monitoring.
 </li>
 <li>
 Strong EDA and data storytelling skills, with the ability to influence business strategy through data-driven insights.
 </li>
 <li>
 Experience leading projects and mentoring junior team members.
 </li>
 <li>
 Experience in the retail sector is highly desirable.
 </li>
 <li>
 Excellent problem-solving, project management, and communication skills, with the ability to translate complex technical concepts for diverse audiences.
 
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen
 
 
 and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce
 
 
 retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are
 
 
 Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home,
 
 
 Rejuvenation, GreenRow and Mark and Graham. We currently operate retail stores globally. Our products are
 
 
 also available to customers through our catalogs and online worldwide.
 
 
 Williams-Sonoma has established a technology center in Pune, India to enhance its global operations. The India Technology Center serves as a critical hub for innovation and focuses on developing cutting-edge solutions in areas such as e-commerce, supply chain optimization, and customer experience management. By integrating advanced technologies like artificial intelligence, data analytics, and machine learning, the India Technology Center plays a crucial role in accelerating Williams-Sonoma's growth and maintaining its competitive edge in the
 
 
 global market
 
 
 
 
 ABOUT US
 
 
 
 
 
 Williams-Sonoma India Pvt. Ltd.
 
 
 
 Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home, Rejuvenation, and Mark and Graham. We currently operate retail stores globally. Our products are also available to customers through our catalogs and online worldwide.
 
 
 Williams-Sonoma India sourcing office was established in 2013. We are based in Gurugram, India. We are sourcing premium products across all categories of Home Furnishing and recorded double digit year-on-year growth. We have a dynamic team of over 100 members handling versatile vendors across India, Nepal &amp; Bangladesh. We are looking to onboard talented people and create successful professional journey.
</div>

Data Scientist (Lead)

Explore 169+ Assistant manager data science gen ai engineer in Pune India this November. Find roles across top companies and apply now to boost your career.