3440 Data Scientist Jobs - Page 25

Job Description: Data Scientist / AI Engineer ( Full-Time) Company: Ubon Dairy Products Location: Remote / Hybrid (Kasaragod preferred) Project Type: Logistics Optimization & AI Routing Engine Start Date: Immediate ✅ Responsibilities Design and build a custom AI engine for dynamic delivery route planning and sales optimization. Integrate external APIs (Google Maps, SAP, mobile app APIs). Implement predictive models for order forecasting, stock planning, and delivery performance. Clean and process delivery, outlet, and route data for training AI models. Collaborate with app developers and SAP integrators to deploy models into production. Track and improve model performance through live metrics and feedback. Must-Have Skills Strong experience in Python (Pandas, Scikit-learn, TensorFlow or PyTorch) Hands-on with logistics optimization (TSP, VRP, clustering) Experience using Google Maps API (Directions, Distance Matrix, Geocoding) Proficient in SQL and working with ERP data Understanding of AI model deployment and performance tuning Bonus Skills Familiarity with SAP (especially sales/inventory modules) Experience building route optimization engines for FMCG or dairy Prior experience with B2B delivery operations or mobile-based field apps How to Apply Send your resume and portfolio of past AI/logistics projects to: Ubon.dairy@Gmail.com 97445 55999 Job Type: Full-time Pay: ₹420,000.00 - ₹600,000.00 per year Work Location: In person

Job Role: Data Scientist / AI Solution Engineer– India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST - Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms - Configure and optimize pre-built ML models for specific business requirements - Set up automated data pipelines leveraging AWS services and third-party tools - Create dashboards and visualizations to communicate insights to stakeholders - Document technical processes and knowledge transfer for future maintenance Requirements - Bachelor’s degree in computer science, Data Science, or related field - 1-3 years of professional experience implementing machine learning solutions. -We can entertain someone who is fresh graduate with significant work in AI in either internship or projects - Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) - Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) - Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) - Experience with Python and common data manipulation libraries - Strong problem-solving skills and ability to work independently Preferred Qualifications - Previous contract or work experience in similar roles - Familiarity with API integration between various platforms - Experience with BI tools (Power BI, QuickSight) - Knowledge of cost optimization techniques for AWS ML services - Prior experience in our industry (please see company overview)

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person

Job Location: - Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST Exp:- 3-10 y Requirements - Bachelor’s degree in computer science, Data Science, or related field - Experience in implementing machine learning solutions. -We can entertain someone who is fresh graduate with significant work in AI in either internship or projects - Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) - Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) - Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) - Experience with Python and common data manipulation libraries - Strong problem-solving skills and ability to work independently Preferred Qualifications - Previous contract or work experience in similar roles - Familiarity with API integration between various platforms - Experience with BI tools (Power BI, QuickSight) - Knowledge of cost optimization techniques for AWS ML services - Prior experience in our industry (please see company overview)

Primary Skills: Machine Learning, Optimization, Cloud Services (Azure/Oracle), MLOps. Secondary Skills: End-to-end data science projects, databases and pipelines, manufacturing domain Soft skills: Stakeholder management, leadership, proactive Note: Preference will be given to those with manufacturing domain experienced.

We are looking for a skilled Senior Data Scientist with experience in building cutting-edge AI solutions, particularly in the domains of Generative AI, Agentic AI, and LLM-based architectures. If youre passionate about developing intelligent, autonomous systems, this role offers an exciting opportunity to work on impactful, next-gen AI initiatives. Responsibilities Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen. Develop context-aware RAG pipelines to power grounded, relevant AI outputs. Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines. Orchestrate complex agent workflows involving memory, planning, and decision-making tools. Partner closely with engineers, product teams, and legal domain experts to identify automation opportunities within legal and compliance workflows. Apply NLP techniques to process and extract insights from unstructured legal data. Manage and optimize structured and unstructured data pipelines using tools like PostgreSQL, Solr, and CosmosDB Key Requirements Strong command of Python and relevant libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn. Proven experience working with Large Language Models (GPT, Claude, LLaMA, etc.), including fine-tuning and customization. Familiarity with agentic AI concepts and hands-on experience developing tool-using, reasoning agents. Skilled in building APIs using FastAPI and managing ML workflows with MLflow. Experience working with cloud-based AI platforms such as Azure AI, OpenAI APIs, or AWS Bedrock. Deep understanding of RAG architectures, semantic search, and vector databases. Proficient in SQL, comfortable working on Linux, and experienced with containerized and distributed environments. Strong grasp of data structures, statistical modelling, and backend database architecture.

Required Skills: Successful candidates will have demonstrated the following skills and characteristics - Must-Have (Senior Associate - CPG & Retail Analytics) Hands-on experience with CPG & Retail data assets such as point-of-sale (POS) transactions, loyalty-program histories, syndicated panel data (NielsenIQ, Circana/IRI, Kantar), e-commerce clickstream, and supply-chain sensors/IoT. Deep understanding of predictive modeling for purchase propensity, demand forecasting, promotion uplift, assortment, and customer lifetime value in omnichannel retail environments. Proficiency in machine learning techniquesclassification, regression, clustering, recommendation engines, and advanced time-series forecasting applied to sales and inventory data. Strong command of statistical methods including A/B & multivariate testing, price-elasticity modeling, market-basket analysis, segmentation, and causal-impact evaluation. Expert programming in Python or R, plus SQL with retail-specific data-wrangling libraries (pandas, dbt) across cloud warehouses (BigQuery, Redshift, Synapse). Hands on BI fluency in developing interactive visualizations in Power BI, Tableau, or Looker that turn SKU-level data into actionable stories for category, trade-marketing, and supply-chain teams. Exposure to big data & real-time analytics stacks used in retail (Spark, Kafka, Delta Lake, Snowflake Streaming, Google Vertex AI). Ability to translate insights for merchandising, marketing, supply-chain, and store-operations stakeholders—communicating clearly with both technical data teams and business leaders. Nice to have Exposure to ML engineering (Azure ML, AWS SageMaker, GCP Vertex AI) Experience blending retail-media impression/click logs with sales to calculate ROAS and incrementality, or to build MMM-lite dashboards for brand teams. Roles and Responsibilities Assist analytics projects within the CPG & Retail domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Role & responsibilities Preferred candidate profile

Responsibilities Lead the development and implementation of advanced machine learning models and statistical analyses to solve complex business problems Collaborate with business stakeholders to understand requirements and translate them into analytical solutions Manage a team of business intelligence experts Work closely together with the technology teams in implementing new techniques into the Bank environments Develop predictive models for risk assessment, fraud detection, customer behavior analysis or forecasting Create and maintain detailed documentation of methodologies, models, and processes Design and build scalable data pipelines and ETL workflows Present findings and recommendations to senior management and stakeholders Monitor model performance and implement improvements as needed Ensure compliance with banking regulations and data governance policies Qualifications Education: Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related field Professional certifications in relevant technologies or methodologies are a plus Experience 10+ years of experience in data science, with at least 4 years in the banking/financial services sector Proven track record of successfully implemented machine learning models in production Minimum 3 years of experience managing and leading data science teams Demonstrated experience in building and developing high-performing teams Technical Skills Advanced knowledge of machine learning algorithms and statistical modeling Strong expertise in Python, R, or similar programming languages Proficiency in SQL and experience with big data technologies (Hadoop, Spark, Databricks) Experience with deep learning frameworks Knowledge of cloud platforms (AWS, Azure, or GCP) Expertise in data visualization tools (Tableau, Power BI, Qlik) Strong understanding of version control systems (Git) Experience with MLOps and model deployments Business Skills Proven people management and leadership abilities Experience in resource planning and team capacity management Excellent problem-solving and analytical thinking abilities Strong communication and presentation skills Ability to translate complex technical concepts to non-technical stakeholders Experience in agile development methodologies Understanding of banking and financial services domain Domain Knowledge Understanding of risk management, compliance, products and regulatory requirements in banking Knowledge of financial markets and instruments is a plus This job is provided by Shine.com

Job Title: Data Scientist majorly focused on Azure Foundry Engineer / Python Developer (AI/NLP) Location: Gurgaon (In-Office) Job Type: Full-time Experience Required: 5+ years (including at least 1 year in AI/NLP) About the Role: We are looking for an experienced Azure Foundry Engineer / Python Developer to join our AI team. The role involves backend Python development and working on AI/NLP systems in Azure environments. Ideal for candidates with a passion for building scalable and intelligent solutions. Key Responsibilities: Design and manage scalable cloud infrastructure using Azure Foundry Develop Python-based backend services for AI/NLP applications Integrate LLM APIs like OpenAI, Gemini, etc. Work with Agentic AI tools such as AutoGen and LangChain Automate AI/ML workflows and support CI/CD pipelines Build and deploy applications using FastAPI, Docker Handle prompt engineering, REST API design, and background tasks using Celery or RQ Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field 5+ years of backend development experience with Python At least 1 year of experience in AI/NLP projects on Azure Hands-on experience with Azure Foundry or similar platforms Proficiency in FastAPI, prompt engineering, LLMOps, and agent frameworks Familiar with scripting languages like Python, Bash, or PowerShell Experience with version control (Git), Docker, and monitoring tools Nice to Have: Knowledge of LangChain, LangGraph, or LLM toolchains Experience with chatbots, semantic search, or conversational UIs Understanding of vector databases and test-driven development (e.g., Pytest) About IGT Solutions : IGT Solutions is a next-gen customer experience (CX) company, defining and delivering transformative experiences for the global and most innovative brands using digital technologies. With the combination of Digital and Human Intelligence, IGT becomes the preferred partner for managing end-to-end CX journeys across Travel and High Growth Tech industries. We have a global delivery footprint, spread across 30 delivery centers in China, Colombia, Egypt, India, Indonesia, Malaysia, Philippines, Romania, South Africa, Spain, UAE, the US, and Vietnam, with 25000+ CX and Technology experts from 35+ nationalities. IGT's Digital team collaborates closely with our customer’s business & technology teams to take solutions faster to market while sustaining quality while focusing on business value and improving overall end-Customer Experience Our offerings include industry solutions as well as Digital services. We work with leading global enterprise customers to improve synergies between business & technology by enabling rapid business value realization leveraging Digital Technologies. These include lifecycle transformation & rapid development / technology solution delivery services delivered leveraging traditional as well as Digital Technologies, deep functional understanding and software engineering expertise. IGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC® Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

Job Role: Data Scientist / AI Solution Engineer– India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST - Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms - Configure and optimize pre-built ML models for specific business requirements - Set up automated data pipelines leveraging AWS services and third-party tools - Create dashboards and visualizations to communicate insights to stakeholders - Document technical processes and knowledge transfer for future maintenance Requirements - Bachelor’s degree in computer science, Data Science, or related field - 1-3 years of professional experience implementing machine learning solutions. -We can entertain someone who is fresh graduate with significant work in AI in either internship or projects - Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) - Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) - Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) - Experience with Python and common data manipulation libraries - Strong problem-solving skills and ability to work independently Preferred Qualifications - Previous contract or work experience in similar roles - Familiarity with API integration between various platforms - Experience with BI tools (Power BI, QuickSight) - Knowledge of cost optimization techniques for AWS ML services - Prior experience in our industry (please see company overview)

Hello All, Urgent job openings for Data Science Lead & Architect role @ Remote. Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (vinay.kondapalli@smarkinfosolutions.com). Mention Subject Line :- Applying for Data Lead Or Architect @ Remote Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Looking for Serving candidates only (15-30 days) Preffered Location -: Hyd or Bangalore or Remote - Job Description : We are looking for a Data Scientist Lead/Architects for one of service based Organization. Mandatory Skills- Generative AI, Python , LLM, Agentic Ai , RAG, Langchain Role : As a Gen AI Lead /Architect your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems: As a Gen AI Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Req Skills : GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills.. Responsibilities : Lead the design of architecture for generative AI solutions within the Azure ecosystem. Collaborate with project managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Thanks & Regards, Vinay Kondapalli, vinay.kondapalli@smarkinfosolutions.com Sr.IT Recruiter

Data Scientist is to run various data analysis and management to assist in design development and testing of algorithmic trading strategies, development of state-of-art transaction cost analysis modules(TCA)for global equities options futures and f/x

Job Title : Data scientist Location State : Maharashtra,Tamil Nadu,West Bengal Location City : Pune, Chennai, Kolkata Experience Required : 4 to 6 Year(s) CTC Range : 6 to 11 LPA Shift: Day Shift Work Mode: Onsite Position Type: C2H Openings: 4 Company Name: VARITE INDIA PRIVATE LIMITED About The Client: Client is an Indian multinational technology company specializing in information technology services and consulting. Headquartered in Mumbai, it is a part of the Tata Group and operates in 150 locations across 46 countries. About The Job: Job Title: Developer Work Location: ~KOLKATA,WB || CHENNAI,TN || PUNE, MH Skill Required: Digital : Python~Digital : Client Web Service(AWS) Cloud Computing Experience Range in Required Skills: 4-6 Years Job Description: Language: Python Cloud Platform: AWS (Lambda, EC2, S3)DevOps Tools: GitLab Data / ML: NumPy, Pandas3+ years Hands experience for Developer Essential Job Functions: Essential Skills: Language: Python Cloud Platform: AWS (Lambda, EC2, S3)DevOps Tools: GitLab Data / ML: NumPy, Pandas3+ years Hands experience for Developer Qualifications: Qualifications: Python Cloud Platform: AWS (Lambda, EC2, S3)DevOps Tools: GitLab Data / ML: NumPy, Pandas3+ years Hands experience for Developer How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000

If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critical business challenges using core concepts of analytics, critical thinking. We are seeking a skilled Data Scientist who has worked in the Marketing domain. The ideal candidate will possess a strong blend of statistical expertise and business acumen, particularly in Marketing Mix Modeling (MMM), Causality Analysis, and Marketing Incrementality. Good understanding of the entire marketing value chain and measurement strategies. The Data Scientist will play a critical role in developing advanced analytical solutions to measure marketing effectiveness, optimize marketing spend, and drive data-driven decision making. This role involves working closely with marketing teams, analysts, and business stakeholders to deliver actionable insights through statistical modeling and experimentation. The ideal candidate has a strong background in statistical analysis, causal inference, and marketing analytics. Responsibilities : Modeling & Analysis (70%) : Develop and maintain Marketing Mix Models (MMM) to measure the effectiveness of marketing channels and campaigns Design and implement causal inference methodologies to identify true incremental impact of marketing activities Build attribution models to understand customer journey and touchpoint effectiveness Conduct advanced statistical analysis including regression, time series, and Bayesian methods Develop predictive models for customer behavior, campaign performance, and ROI optimization Create experimental designs for A/B testing and incrementality studies Perform promotional analysis to measure lift, cannibalization, and optimal discount strategies across products and channels Stakeholder Management & Collaboration ( 30% ) : Partner with business teams to understand business objectives and analytical needs Translate complex statistical findings into actionable business recommendations Present analytical insights and model results to non-technical stakeholders Collaborate with data engineers to ensure data quality and availability for modeling Work with business teams to design and implement measurement strategies Create documentation and knowledge transfer materials for analytical methodologies Key Qualifications Education: Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, or related quantitative field. Master's degree preferred. Experience: 2-3 years of experience as a Data Scientist with focus on marketing analytics. Technical Skills: Strong proficiency in Python or R for statistical analysis Expertise in statistical modeling techniques (regression, time series, Bayesian methods) Experience with Marketing Mix Modeling (MMM) frameworks and tools Knowledge of causal inference methods (DiD, IV, RDD, Synthetic Controls) Proficiency in SQL for data manipulation and analysis Understanding of machine learning algorithms and their applications Deep understanding of marketing channels and measurement strategies Familiarity with marketing metrics (CAC, LTV, ROAS, etc.) Understanding of media planning and optimization concepts

Company Profile: Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions. Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape. Job Title: Data Scientist/ Sr. Data Scientist Location & Timings: Kalyani Nagar, Pune, Hybrid Education Qualification: Bachelor’s or Master’s Degree in Computer Science, Mathematics, Engineering, or related discipline. Job Description: We are looking for a skilled Senior Data Scientist with experience in building cutting-edge AI solutions, particularly in the domains of Generative AI, Agentic AI, and LLM-based architectures. If you’re passionate about developing intelligent, autonomous systems, this role offers an exciting opportunity to work on impactful, next-gen AI initiatives. Responsibilities: Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen. Develop context-aware RAG pipelines to power grounded, relevant AI outputs. Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines. Orchestrate complex agent workflows involving memory, planning, and decision-making tools. Partner closely with engineers, product teams, and legal domain experts to identify automation opportunities within legal and compliance workflows. Apply NLP techniques to process and extract insights from unstructured legal data. Manage and optimize structured and unstructured data pipelines using tools like PostgreSQL, Solr, and CosmosDB. Key Requirements: Strong command of Python and relevant libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn. Proven experience working with Large Language Models (GPT, Claude, LLaMA, etc.), including fine-tuning and customization. Familiarity with agentic AI concepts and hands-on experience developing tool-using, reasoning agents. Skilled in building APIs using FastAPI and managing ML workflows with MLflow. Experience working with cloud-based AI platforms such as Azure AI, OpenAI APIs, or AWS Bedrock. Deep understanding of RAG architectures, semantic search, and vector databases. Proficient in SQL, comfortable working on Linux, and experienced with containerized and distributed environments. Strong grasp of data structures, statistical modelling, and backend database architecture. If Interested, Please share your resume at aayush.kumar@solytics-partners.com

As a Data Scientist you will: • Build intelligent, end-to-end data pipelines that utilize large language models (LLMs) for document generation, summarization, reasoning, and automating tasks. • Design and develop autonomous workflows where AI agents interact with tools, APIs, memory, and other agents to accomplish complex, multi-step objectives. • Apply prompt engineering, retrieval-augmented generation (RAG), and planning techniques to enable contextual reasoning and decision-making in LLM-powered systems. • Analyze legacy systems such as rule-based engines, stored procedures, and monolithic applications, and convert them into modular, AI-native components that work with structured and unstructured data. • Fine-tune foundation models or adapt them using low-rank adaptation (LoRA), transfer learning, or domain-specific techniques for enhanced task performance. Skills Required : 5+ years of experience in AI/ML development, with a strong emphasis on LLM integration and intelligent system design. Proven experience in designing, developing and deploying real-world LLM-based applications and agentic systems. Expert-level knowledge of Python for building and orchestrating machine learning and AI applications, with a focus on LLM-based development. Proficiency in prompt engineering, chaining logic, context window management, and invoking tools (e.g., APIs, functions) within LLM applications. Understanding of agent patterns involving memory, planning, multi-agent coordination, and decision-making frameworks. Experience with vector databases, embedding generation, and retrieval-augmented generation (RAG) for knowledge-based AI systems. Hands-on experience deploying and managing AI services in cloud platforms, preferably Microsoft Azure.

Silverpush is at the forefront of AI-powered video advertising, delivering sophisticated video ad solutions that empower brands to achieve impactful campaigns within a privacy-centric environment. Operating across 30+ countries, we specialize in creating contextually relevant advertising experiences that drive genuine engagement and conversion. Silverpush's commitment to innovation and technological advancement enables us to navigate the evolving digital landscape, providing our partners with the tools necessary to connect with audiences on a global scale. We are dedicated to fostering a culture of creativity and excellence, driving the future of ad tech with integrity and foresight. For more information about Silverpush’s innovative advertising solutions, please visit www.silverpush.co. Responsibilities: ● Analyze complex datasets to identify trends, patterns, and correlations, and extract actionable insights that can inform strategic decisions. ● Design and build predictive models using statistical and machine learning techniques (e.g., regression, classification, XGBoost, clustering). ● Research and develop analyses and forecasting and optimization methods across ads performance, content performance modeling, and live experiments. ● Research and prototype using cutting-edge LLM technologies and generative AI to unlock new opportunities in personalization, targeting, and automation. Ideal Candidate Profile ● 3+ years of experience in Data Science, ideally in advertising or media-related domains. ● Degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Masters in DS). ● Deep experience working with large-scale structured and unstructured data. ● Strong foundation in machine learning and statistical modeling. ● Familiar with building and deploying models in production (basic MLOps knowledge). ● Comfortable with NLP and computer vision, and interested in applying LLMs to real-world use cases. ● Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Technical Skills ● Languages & Tools: Python, PySpark, SQL ● ML Techniques: Regression, Classification, Clustering, Decision Trees, Random Forests, XGBoost, SVM ● LLM Tech: Familiarity with tools like OpenAI, Hugging Face, LangChain, and prompt engineering ● Data Infrastructure: ETL tools, Postgres, BigQuery/Snowflake, S3/GCP ● Statistical Analysis: A/B testing, experiment design, causal inference

We are seeking a visionary and execution oriented Senior Manager (Data Scientist) 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. This role connects business strategy, technical innovation, and operational delivery, ensuring customer success through intelligent network transformation. 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 Pre sales Automation Frameworks and Closed Loop Operations Program Management and Cross Functional Leadership Key Responsibilities AI and Autonomous Network Solutions Lead e2e engagement for AI enabled, closed loop autonomous network solutions across wireless, wireline, and FWA technologies. Translate customer requirements into delivery roadmaps featuring AI/ML models, LLM prompting, network self healing, and predictive analytics. Oversee deployment of automation use cases like alarm correlation, anomaly detection, traffic prediction, and zero touch optimization. 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). 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 modeling. 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. 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. Conduct technical deep dives, workshops, and strategy sessions with telecom operators and enterprise clients. 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. 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. Qualifications Bachelor/Master degree in Telecommunications, Computer Science, Data Science, or related fields. 15 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). 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.

We are seeking a skilled and motivated Data Scientist with 3–5 years of hands-on experience in data analytics, machine learning, and business intelligence. The ideal candidate will be responsible for deriving actionable insights from data, building predictive models, and supporting data-driven decision-making across various business units. Key Responsibilities: Analyze structured and unstructured datasets to extract insights and identify trends.Design and implement machine learning models for classification, regression, clustering, and recommendation. Collaborate with business stakeholders to understand objectives and translate them into data solutions. Perform data wrangling, preprocessing, feature engineering, and model validation. Build dashboards and reports using visualization tools like Power BI or Tableau. Present findings and recommendations to technical and non-technical audiences. Contribute to model deployment and monitoring processes. Required Skills & Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3–5 years of industry experience in a Data Scientist or similar role. Proficient in programming languages such as Python or R . Strong experience with data manipulation tools like pandas , NumPy , and machine learning libraries like scikit-learn , XGBoost , or TensorFlow/PyTorch . Solid knowledge of SQL and database querying. Experience with data visualization tools like Power BI , Tableau , or Matplotlib/Seaborn . Familiarity with version control (e.g., Git) and basic software development practices. Preferred Qualifications: Experience working with cloud platforms (AWS, Azure, or GCP). Exposure to big data tools (Spark, Hadoop) is a plus. Knowledge of NLP, time-series forecasting, or deep learning techniques is desirable. Strong problem-solving and communication skills. What We Offer: A collaborative, innovative work environment. Opportunities to work on real-world data challenges across industries. Access to modern tools, cloud platforms, and machine learning infrastructure. Competitive salary and performance-based incentives. Job Type: Full-time Pay: From ₹30,000.00 per month Benefits: Food provided Schedule: Day shift Work Location: In person

Role: Data Scientist Experience: 4 - 9 Years Location: Gurugram - Onsite Qualification: B.Tech Job Description: • Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python • Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. • Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. • Should be able to perform EDA of raw data & feature engineering wherever applicable • Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. • Should be able to leverage cloud platforms for training and deploying large scale solutions. • Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. • Retrain and maintain model accuracy in deployment. • Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. • Should be able to take complete ownership of the assigned project • Experience of working in Agile environments • Well versed with JIRA or equivalent project tracking tool

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person

You should have a postgraduate degree in Statistics, Mathematics, or any other field with a strong analytical background. Exposure to Big Data analytics is a must. A solid mathematical foundation in calculus, linear algebra, probability, and statistics is required. Experience in Applied Machine Learning, including regression and classification, supervised and unsupervised learning, would be a bonus. You should be a quick learner and adept at solving complex problems in various domains. Proficiency in programming languages such as C#, C++, Python, or R, and scripting languages like JavaScript is necessary for this role. This is a permanent position based in Calicut, Kerala, India. Candidates with 0 to 4 years of experience are welcome to apply. The salary package offered is competitive and will be the best in the industry. Our recruitment process includes a Technical Interview and an HR Interview. If you believe you have the skills and mindset to thrive in our innovative team, kindly share your CV with us at hr@tech27.com. We are always seeking dynamic individuals to join us in our forward-thinking endeavors.,

As a Data Scientist at our company located in Nagercoil, you will play a vital role in transforming raw data into valuable insights that will drive strategic decisions and enhance product enhancements. You should possess exceptional problem-solving abilities, proficiency in data science tools, and a strong enthusiasm for data manipulation. Your responsibilities will include analyzing both structured and unstructured data sets to identify patterns and trends, constructing predictive models and machine learning algorithms, collaborating with business teams to uncover data-driven opportunities, and effectively communicating findings through various mediums such as reports, dashboards, and visualizations. Additionally, you will be responsible for data cleaning, validation, preprocessing, developing A/B testing frameworks, and collaborating with software engineers and analysts to implement data-centric solutions. To excel in this role, you must have a solid foundation in Python or R for data analysis and machine learning, along with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Proficiency in SQL for data querying, familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn, and a good grasp of statistics, probability, and algorithms are also essential. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with big data tools like Hadoop or Spark would be advantageous, as well as knowledge of cloud platforms like AWS, Azure, or Google Cloud. This is a full-time, permanent position with a day shift schedule that requires in-person work at our Nagercoil location. Join us in leveraging the power of data to drive innovation and business success.,

As a Data Scientist at Micron Technology in Sanand Gujarat, you will have the opportunity to play a pivotal role in transforming how the world uses information to enrich life for all. Micron Technology is a global leader in innovating memory and storage solutions, driving the acceleration of information into intelligence and inspiring advancements in learning, communication, and progress. Your responsibilities will involve a broad range of tasks, including but not limited to: - Developing a strong career path as a Data Scientist in highly automated industrial manufacturing, focusing on analysis and machine learning of terabytes and petabytes of diverse datasets. - Extracting data from various databases using SQL and other query languages, and applying data cleansing, outlier identification, and missing data techniques. - Applying the latest mathematical and statistical techniques to analyze data and identify patterns. - Building web applications as part of your job scope. - Utilizing Cloud-based Analytics and Machine Learning Modeling. - Building APIs for application integration. - Engaging in statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning. - Demonstrating proficiency in data analysis and validation, as well as strong software development skills. In addition to the above, you should possess above-average skills in: - Programming fluency in Python. - Knowledge of statistics, machine learning, and other advanced analytical methods. - Familiarity with javascript, AngularJS 2.0, and Tableau, with a background in OOPS considered an advantage. - Understanding pySpark and/or libraries for distributed and parallel processing. - Experience with Tensorflow and/or other statistical software with scripting capabilities. - Knowledge of time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus. - Understanding of Manufacturing Execution Systems (MES) is beneficial. You should be able to work in a dynamic, fast-paced environment, be self-motivated, adaptable to new technologies, and possess a passion for data and information with excellent analytical, problem-solving, and organizational skills. Furthermore, effective communication with distributed teams (written, verbal, and presentation) and the ability to work collaboratively towards common objectives are key attributes for this role. To be eligible for this position, you should hold a Bachelors or Masters degree in Computer Science or Electrical/Electronic Engineering, with a CGPA of 7.0 and above. Join Micron Technology, Inc., where our relentless focus on customers, technology leadership, and operational excellence drives the creation of high-performance memory and storage products that power the data economy. Visit micron.com/careers to learn more about our innovative solutions and opportunities for growth. For any assistance with the application process or to request reasonable accommodations, please reach out to hrsupport_india@micron.com. Micron Technology strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards. Candidates are encouraged to use AI tools to enhance their application materials, ensuring accuracy and truthfulness in representing their skills and experiences. Fabrication or misrepresentation will lead to immediate disqualification. As a Data Scientist at Micron Technology, you will be part of a transformative journey that shapes the future of information utilization and enriches lives across the globe.,