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Job Title: Data Scientist / Machine Learning Engineer Location: Mumbai (Work from Office &ndash; 5 Days) CTC: ₹21&ndash;28 LPA Experience: 2&ndash;5 Years Industry: Consumer Internet | Product CompanyJob SummaryWe are hiring a Data Scientist / Machine Learning Engineer to build and scale production-grade ML models for personalization, recommendations, pricing, and fraud detection in a high-traffic consumer internet product.Key Responsibilities<ul><li>Build and deploy ML models for recommendations, ranking, pricing, fraud, and propensity</li><li>Work with large structured &amp; unstructured datasets</li><li>Apply NLP techniques for text classification, embeddings, and user profiling</li><li>Productionize models using APIs, Docker, CI/CD on AWS/GCP</li><li>Monitor model performance and business impact</li></ul>Must-Have Skills<ul><li>2+ years as a Data Scientist / ML Engineer</li><li>Strong Python and classical ML fundamentals</li><li>Hands-on experience in at least 2 ML use cases:</li><li>Recommendation Systems</li><li>Image-based ML</li><li>Fraud / Risk Detection</li><li>Pricing or Propensity Models</li><li>Strong exposure to NLP (text classification, embeddings, similarity models)</li><li>Experience deploying ML models in production</li><li>Background from B2C product companies only</li></ul>No Banking / FinTech / Financial Services profilesWhy Join<ul><li>Work on large-scale, real-world ML problems</li><li>High ownership and end-to-end impact</li><li>Competitive pay and strong growth opportunities</li></ul>Apply with your updated CVKeywords: Data Scientist, Machine Learning Engineer, Python, NLP, Recommendation Systems, AWS, GCP, Product Company, MumbaiJob Type: Full-timePay: ₹2,100,000.00 - ₹2,800,000.00 per yearBenefits:<ul><li>Provident Fund</li></ul>Application Question(s):<ul><li>What's your current company?</li><li>Which use cases you have hands on experience?</li><li>Are you ok for Mumbai location (if candidate is from outside Mumbai)?</li><li>Reason for change (if candidate has been in current company for less than 1 year)?</li></ul>* Reason for hike (if greater than 25%)?<ul><li>Current ctc nd notice period??</li></ul>Work Location: In person

Data Scientist

Diligent Global Tech Inc.

<ul><li>Data Scientist &ndash; Machine Learning </li></ul>Experience: 4&ndash;6 YearsLocation: Chennai (Work from Office)Availability to join: Immediate joiners preferred.We are hiring Data Scientist to own and deliver production-grade ML solutions. This role combines hands-on machine learning with product ownership, focusing on real business impact rather than experimentation alone.You will work closely with engineering, product, and business teams to design, deploy, and scale AI-driven features.Key Responsibilities<ul><li>Define and own ML use cases for connected vehicles, predictive maintenance, and rider analytics</li><li>Manage the end-to-end ML lifecycle: data preparation, modeling, deployment, monitoring</li><li>Collaborate with product and engineering teams to convert ML insights into production features</li><li>Monitor model performance, drift, and retraining needs</li><li>Support pilots, A/B testing, and adoption measurement</li><li>Communicate ML outcomes and KPIs to stakeholders</li></ul>Required Skills<ul><li>4&ndash;6 years of experience as a Data Scientist / Applied ML professional</li><li>Proven experience deploying ML models into production</li><li>Strong understanding of ML workflows and MLOps fundamentals</li><li>Experience with AWS SageMaker or Azure ML</li><li>Hands-on exposure to TensorFlow or PyTorch</li><li>Experience with Power BI or Tableau</li><li>Strong stakeholder communication and Agile delivery experience</li></ul>Preferred Skills<ul><li>Automotive, mobility, or IoT / telemetry data experience</li><li>Exposure to predictive maintenance or connected platforms</li><li>Working knowledge of Python and SQL</li></ul>Job Types: Full-time, PermanentPay: ₹586,934.41 - ₹1,044,843.57 per yearWork Location: In person

alliantgroup

<div>
 
 Role: Data Scientist
 
 
 Location: Hyderabad (Work from Office)
 
 
 Experience: 4 -6 years
 
 
 
 
 
 
 about alliantgroup
 
 
 
 alliantgroup is a professional services firm that provides tax consulting and compliance services to businesses in the United States. The company was founded in 2002 and is headquartered in Houston, Texas. alliantgroup services are focused on helping businesses claim tax credits and incentives that they are entitled to under various federal and state programs. These credits and incentives are designed to encourage businesses to invest in certain types of activities, such as research and development, energy efficiency, and hiring employees from certain disadvantaged groups. alliantgroup services include helping businesses identify and claim these credits and incentives, as well as providing guidance on compliance with the relevant regulations.
 
 
 alliantgroup is headquartered in Houston, Texas with additional offices located in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, Washington, D.C.; and Bristol and London in the U.K.
 
 
 More about our culture and why we love
 
 alliantgroup
 
 
 
 https://youtu.be/nM_9fXXwyrg
 
 
 https://youtu.be/erJobvthqRw
 
 
 
 
 
 
 alliantgroup India Talent Pvt. Ltd:
 
 
 
 
 
 alliantgroupstarted its operations in India in the year 2019 with a world-class office in Hyderabad to provide Tax, Advisory, Audit and Accounting services. alliantgroup India Talent comprises a team of skilled professionals who address the most pressing needs of U.S CPA Firms. We work with the best talent and ensure our clients get top quality services they need. We are currently a family of 1000+ employees.
 
 
 Our people and culture set us apart as a firm, and our team includes professionals from a diverse array of fields, including business, engineering, software development, law, and accounting.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 
 We are seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, your primary responsibility will be to design and develop predictive models to derive actionable insights from complex data sets. You will work closely with cross-functional teams to understand business requirements and leverage your expertise in data analysis and modeling techniques to provide valuable solutions.
 
 
 urgency. Additional requirements for this role are dependability and willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution.
 
 
 
 
 
 
 
 
 
 What will be your responsibilities:
 
 
 <ul>
 <li>
 Collaborate with domain experts, stakeholders, and data engineers to identify and gather relevant data for analysis.
 </li>
 <li>
 Clean, transform, and preprocess data to ensure data quality and compatibility for modeling purposes.
 </li>
 <li>
 Develop and implement advanced statistical models and algorithms to analyze large and complex datasets.
 </li>
 <li>
 Utilize machine learning techniques to extract meaningful patterns, trends, and insights from structured and unstructured data.
 </li>
 <li>
 Perform feature engineering, variable selection, and model validation to improve the accuracy and effectiveness of predictive models.
 </li>
 <li>
 Implement MLOps practices, including model deployment, monitoring, and version control.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirementsand produce developed models for deployment in real-world systems.
 </li>
 <li>
 Communicate findings and insights through clear and compelling data visualizations, reports, and presentations to both technical and non-technical stakeholders.
 </li>
 <li>
 Stay up to date with the latest advancements in data science, machine learning, computer vision, NLP, and MLOps techniques.
 </li>
 <li>
 Conduct experiments, A/B testing, and analysis to optimize model performance and drive business outcomes.
 </li>
 <li>
 Coordination with ISMS core team to support ISMS activities and implantation strategies at the company.
 </li>
 </ul>
 
 
 
 
 
 What are we looking for:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Statistics, Mathematics, or a related field. A Master's degree is preferred.
 </li>
 <li>
 Proven experience as a Data Scientist or similar role, preferably in a business or industry setting.
 </li>
 <li>
 Strong analytical thinking and a passion for data-driven decision-making.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced and dynamic environment.
 </li>
 <li>
 
 Key Skills:
 
 </li>
 <li>
 Python, Machine Learning, Deep Learning, NLP, Computer Vision, OCR, Microsoft Azure, MLOps, Plotly, SQL, Spark SQL, conversational AI, Abacus, Databricks, Git, Shell commands.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What we offer:
 
 
 
 With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees.
 
 
 
 Join us and bring your curiosity to life!
 
 
 
 #LI-BP1
 
</div>

infogine solutions

Hiring: Data Scientist &ndash; ContractLocations: Chennai, Pune, Coimbatore, Bangalore Experience: 5+ YearsSkills: Python, GCP, Generative AI, FastAPI, Data Modeling, Machine LearningRole: Build and deploy AI/ML solutions on GCP, develop APIs with FastAPI, work with Generative AI models, and support data-driven decision-making.Interested candidates kindly reach me : infogineabhi06@gmail.com or 9705220991Job Types: Full-time, PermanentPay: ₹500,000.00 - ₹1,700,000.00 per yearWork Location: Hybrid remote in Pune, Maharashtra

Marina's clinic

Job Description &ndash; Data ScientistCompany: Zero Gravity Photography (ZGP)Location: ChennaiExperience: 3 &ndash; 7 YearsRole OverviewThe Data Scientist will be responsible for analysing business, sales, marketing, and operational data to generate actionable insights that support decision-making across departments. The role involves working closely with management teams to improve efficiency, performance, and growth using data-driven strategies.Key ResponsibilitiesData Analysis &amp; Insights<ul><li>Collect, clean, and analyze structured and unstructured data from multiple sources.</li><li>Identify trends, patterns, and anomalies in sales, marketing, operations, and customer data.</li><li>Build predictive and descriptive models to support business decisions.</li><li>Programming &amp; Database Management</li><li>Use Advanced Python for data analysis, automation, and model development.</li><li>Write optimized SQL queries to extract and manage data from databases.</li><li>Perform data manipulation and reporting using Excel (advanced formulas, pivot tables).</li></ul>Data Visualization &amp; Reporting<ul><li>Design and maintain dashboards using Power BI, Tableau, or similar tools.</li><li>Present insights in a clear and visually compelling manner for management.</li><li>Automate periodic reports for sales performance, revenue, productivity, and KPIs.</li><li>Business &amp; Cross-Functional Support</li><li>Work closely with sales, marketing, HR, accounts, and operations teams.</li><li>Support forecasting, performance tracking, and operational optimization.</li><li>Translate business requirements into analytical solutions.</li></ul>Data Governance &amp; Quality<ul><li>Ensure data accuracy, consistency, and integrity across systems.</li><li>Maintain documentation for data models, reports, and processes.</li><li>Follow best practices for data security and compliance.</li></ul>Required Skills &amp; Qualifications<ul><li>Strong proficiency in Python (Pandas, NumPy, Matplotlib/Seaborn or similar).</li><li>Good working knowledge of SQL (joins, subqueries, performance optimization).</li><li>Advanced Excel skills (Pivot tables, Lookups, Dashboards).</li><li>Hands-on experience with Power BI, Tableau, or similar visualization tools.</li><li>Strong analytical and problem-solving skills.</li><li>Experience in handling large volume of data.</li><li>Knowledge of machine learning concepts.</li><li>Experience with cloud platforms.</li><li>BSc (Computer Science) or Any degree.</li></ul>Job Types: Full-time, PermanentPay: ₹35,000.00 - ₹40,000.00 per monthBenefits:<ul><li>Cell phone reimbursement</li><li>Paid sick time</li><li>Paid time off</li></ul>Work Location: In person

metropolis

<div><h3 class="jobSectionHeader">Who we are</h3>

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just &quot;drive in and drive out.&quot; We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
<h3 class="jobSectionHeader">
Who you are</h3>

We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.
<h3 class="jobSectionHeader">
What you'll do</h3>
<ul><li>Collect, process, and analyze large datasets from multiple sources</li>
<li>Build and deploy machine learning models to solve business problems</li>
<li>Design and implement A/B tests and statistical analyses</li>
<li>Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements</li>
<li>Communicate complex data insights in a clear and actionable manner to stakeholders</li>
<li>Develop dashboards and visualizations to monitor key metrics</li>
<li>Stay current with the latest trends and technologies in data science and AI</li>
<li>Remove periods at the end of the of each bullet</li>
</ul><h3 class="jobSectionHeader">What we're looking for</h3>
<ul><li>Bachelor's and or Master's degree in Computer Science, Mathematics, Statistics, or related field</li>
<li>2 + years of proven experience as a Data Scientist or Data Analyst</li>
<li>Strong knowledge of Python/R and SQL</li>
<li>Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)</li>
<li>Experience with big data tools (e.g., Spark, Hadoop)</li>
<li>Familiarity with data visualization tools</li>
<li>Strong analytical, problem-solving, and communication skills</li>
</ul><h3 class="jobSectionHeader">While not required, these are a plus:</h3>
<ul><li>Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)</li>
<li>Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)</li>
</ul>
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite<div>
Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</div></div>

BESTPEERS INFOSYSTEM

Job Title: Data Scientist Experience: 1.5 &ndash; 3 Years Location: Indore Employment Type: Full-Time Working Mode: Work from Office (On-site)Key Responsibilities Build predictive and analytical models to solve business problems Clean, analyze, and interpret large and complex datasets Collaborate with cross-functional teams to define data requirements Create dashboards and reports using Power BI or Tableau Present data-driven insights to non-technical stakeholders clearly and effectivelyRequired Skills Strong knowledge of SQL and data querying Proficiency in Python (Pandas, NumPy, Scikit-Learn) Hands-on experience with machine learning algorithms (classification, regression, clustering) Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Good understanding of Git and version control systems Excellent communication and presentation skillsGood to Have Experience with cloud platforms (AWS / GCP / Azure) Knowledge of Big Data tools such as Spark or HadoopWhy Join Us Opportunity to work on exciting and innovative projects Growth-oriented environment with continuous learning and development support Friendly team culture and collaborative work environmentJob Types: Full-time, PermanentPay: ₹200,000.00 - ₹1,200,000.00 per yearBenefits:<ul><li>Flexible schedule</li><li>Leave encashment</li><li>Provident Fund</li><li>Work from home</li></ul>Work Location: In person

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