2540 Data Science Jobs - Page 48

About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Pyramid Overview As a Sr Engineer in Data Sciences , y ou will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, you ll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. Team Overview The Competitive Intelligence Data Sciences team at Target builds Data Science models in service of leveraging competitive information for various decisioning . The team plays a crucial role in helping Target stay competitive across various business functions. Position Overview For this specific role, you will be responsible for deploying and maintaining language models i n partnership with the cross functional technology team that spans across Product engineering, Data engineering & Data analytics . You will need to diagnose model performance, review summary statistics and iteratively improve the quality of the downstream decisions. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Strong expertise in working with text data, embeddings, building & deploying NLP solutions and integrating with LLM services Expertise in MLOps frameworks and hands on experience in MLOps tools 2 plus years of experience building and deploying AI/ML algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient in programming with Spark (Python and/or Scala) Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across global team Understanding of retail industry is added advantage Bonus Points: Experience with Deep Learning frameworks TensorFlow, Pytorch or Keras Experience developing highly distributed AI/ML systems at scale Experience with Vertex AI Experience in mentoring the junior team members ML skillset and career development Experience in handling streaming data and setting up real-time services Know More about Us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits https://india.target.com/life-at-target/belonging

As the Group Manager for Data Analytics, you will play a key role in developing the team and building capability & capacity to deliver various programs within Electromobility. You will lead a talented team of engineers to develop cutting-edge technologies and solutions that propel Electromobility forward. Reporting Director "Simulation & Data" Section, you will have the opportunity to make a significant impact on our growth and success. What the team do The team purpose involves contributing to data life cycle during product development journey in order to create world-class solutions for electromobility systems, delivering value to Volvo business units such as trucks, buses, construction equipment, and marine applications.By understanding customer usage and product performance, the team provides insights for product development, uptime and continuous . The team is involved in various phases of product development journey from data design, anomaly detection, building crude to accurate models for failure prediction.The team develop/optimize data pipeline, convey insights/story through Visualization tools, build ML models to predict for uptime or component life and focus on continuous improvement.They collaborate with cross functional teams from different parts of the organization locally & globally. Who are You We seek a we'll-established leader with a proven track record working in a global environment, pushing the boundaries to get more value. You have extensive domain knowledge in data driven product development, involving Big-data, Edge computing, AI/ML and system engineering. You thrive on teamwork, leveraging your skills to influence and empower colleagues to harness the full potential for maximum impact. Using great communication skills on all levels, you are also a natural speaking partner, fostering networks, building trust and managing stakeholders through courage and integrity. What to bring: masters in Electrical/ Electronics/Mechatronics /Software/Data Science related disciplines Min 10+ years of experience in Data Science, involving data life cycle management and aligning to software life/V-Cycle in a program development Min 2+ years of Experience in leading people in a global organization Extensive background in technology strategy and planning, including prioritization and budget allocation To be able to do this you need to: Lead and inspire others through strategic focus and reasoning, by asking bold questions and challenging to go beyond. Manage Competence development, Performance and support the team members in journey from Aspire to Inspire Attract, develop, and retain professionals to also secure competences for future demands Collaborate with cross-functional teams to minimize the waste and bring in more efficiency Balancing the Capacity with the workload, Budgeting & Infrastructure impacting the team Excel in Stake-holder management and system thinking approach towards problem solvingActively participate in all relevant decisions foras

Adobe Systems India Pvt. Ltd. is looking for Intern - Media, Data Science and Research to join our dynamic team and embark on a rewarding career journey Conduct Research:Plan and execute research projects in accordance with the organization's needs Utilize various research methods, including surveys, interviews, literature reviews, and data analysis Collect, compile, and analyze data to identify trends, patterns, and insights Data Collection and Analysis:Gather data from primary and secondary sources Employ statistical tools and software to analyze data and generate meaningful reports Interpret research findings and draw actionable conclusions Market Analysis:Monitor industry trends, competitor activities, and market dynamics Provide insights on market opportunities and threats to the organization Assess customer preferences and behavior Report Generation:Prepare detailed research reports and presentations Communicate research findings to relevant stakeholders Ensure that reports are clear, concise, and actionable Collaboration:Work closely with cross-functional teams, including marketing, product development, and management Collaborate with colleagues to share insights and align research efforts with organizational goals Project Management:Manage research projects, including timelines, budgets, and resources Ensure that research projects are completed on schedule and within budget constraints

Research, develop, and fine-tune Generative AI models such as GANs, VAEs, Transformers, and Diffusion Models Work with LLMs (Large Language Models) for NLP-based applications Develop and optimize AI/ML pipelines using frameworks like TensorFlow, PyTorch, and Hugging Face Collaborate with cross-functional teams to integrate AI solutions into applications Process and analyze datasets to improve model efficiency Stay updated with the latest advancements in AI, ML, and Deep Learning Basic knowledge in LLMs like ChatGPT, Llama Keen interest in learning new technologies and staying updated with trends Desired Candidate Profile bachelors or masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields Proficiency in programming languages like Python, Java, or C++ Familiarity with machine learning frameworks like TensorFlow or PyTorch Strong mathematical, programming, and problem-solving skills

Senior Data Scientist Location: Onsite Bangalore Experience: 8+ years Role Overview We are seeking a Senior Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling, with the ability to translate complex operational problems into scalable AI/ML solutions. In addition to core data science responsibilities, the role involves building production-ready backends in Python and contributing to end-to-end model lifecycle management. Exposure to computer vision is a plus, especially for industrial use cases like identification, intrusion detection, and anomaly detection. Key Responsibilities Develop, validate, and deploy machine learning and deep learning models for forecasting, classification, anomaly detection, and operational optimization Build backend APIs using Python (FastAPI, Flask) to serve ML/DL models in production environments Apply advanced computer vision models (e.g., YOLO, Faster R-CNN) to object detection, intrusion detection, and visual monitoring tasks Translate business problems into analytical frameworks and data science solutions Work with data engineering and DevOps teams to operationalize and monitor models at scale Collaborate with product, domain experts, and engineering teams to iterate on solution design Contribute to technical documentation, model explainability, and reproducibility practices Required Skills Strong proficiency in Python for data science and backend development Experience with ML/DL libraries such as scikit-learn, TensorFlow, or PyTorch Solid knowledge of time-series modeling, forecasting techniques, and anomaly detection Experience building and deploying APIs for model serving (FastAPI, Flask) Familiarity with real-time data pipelines using Kafka, Spark, or similar tools Strong understanding of model validation, feature engineering, and performance tuning Ability to work with SQL and NoSQL databases, and large-scale datasets Good communication skills and stakeholder engagement experience Good to Have Experience with ML model deployment tools (MLflow, Docker, Airflow) Understanding of MLOps and continuous model delivery practices Background in aviation, logistics, manufacturing, or other industrial domains Familiarity with edge deployment and optimization of vision models Qualifications Masters or PhD in Data Science, Computer Science, Applied Mathematics, or related field 7+ years of experience in machine learning and data science, including end-to-end deployment of models in production

Job Information Job Opening ID ZR_1809_JOB Date Opened 29/03/2023 Industry Technology Job Type Work Experience 8-12 years Job Title Machine Learning Team Lead City Pune Province Maharashtra Country India Postal Code 411001 Number of Positions 1 10+ years of experience working in data science environments 2+ years of experience as a team lead Knowledge of modern neural network architectures and practices, with experience in instance and semantic detection and image classification Good knowledge of Python, being able to write and review neural network code in PyTorch You have significant experience applying machine learning to real business problems. Fluent in English Specialized in Computer Vision, with knowledge in traditional 2D and 3D approaches (key points, optical flow, curve detection, ) Knowledgeable with at least one SQL dialect or relational algebra Company technical stack MLPython, Torch, ClearML, Numpy,a bit of tensor flow Server-side Python, Flask, Databases Postgres with Sqlalchemy Infrastructure CircleCi, GCPgoogle storage, VMs, Kubernetes Client-side JS, TS, React Location: Pune, Bangalore, Chennai, Indore, Ahmedabad check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2441_JOB Date Opened 21/03/2025 Industry IT Services Job Type Work Experience 4-6 years Job Title Data engineer with Gen Ai City Chennai Province Tamil Nadu Country India Postal Code 600001 Number of Positions 1 We are seeking a skilled Data Engineer who can function as a Data Architect, designing scalable data pipelines, table structures, and ETL workflows. The ideal candidate will be responsible for recommending cost-effective and high-performance data architecture solutions, collaborating with cross-functional teams to enable efficient analytics and data science initiatives. Key Responsibilities: Design and implement ETL workflows, data pipelines, and table structures to support business analytics and data science. Optimize data storage, retrieval, and processing for cost-efficiency and high performance. Collaborate with Analytics and Data Science teams for feature engineering and KPI computations. Develop and maintain data models for structured and unstructured data. Ensure data quality, integrity, and security across systems. Work with cloud platforms (AWS/ Azure/ GCP) to design and manage scalable data architectures. Technical Skills Required: SQL & Python Strong proficiency in writing optimized queries and scripts. PySpark Hands-on experience with distributed data processing. Cloud Technologies (AWS/ Azure/ GCP) Experience with cloud-based data solutions. Spark & Airflow Experience with big data frameworks and workflow orchestration. Gen AI (Preferred) Exposure to generative AI applications is a plus. Preferred Qualifications: Experience in data modeling, ETL optimization, and performance tuning. Strong problem-solving skills and ability to work in a fast-paced environment. Prior experience working with large-scale data processing. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2129_JOB Date Opened 05/03/2024 Industry Technology Job Type Work Experience 3-5 years Job Title DB developer -Python City Chennai Province Tamil Nadu Country India Postal Code 600001 Number of Positions 5 Good knowledge and in Python, sql, Perl with 6+ years experience. Good problem solving skill. Ability to understand the data and its relations Capability to learn new technologies in short span of time. Should be able to work in Sprint and meet deadlines. Flexible Work time. Mandatory Skills: Python - Basics, Pandas, Web scrapping, File and XML Handling, Extracting/Manipulating -Excel/CSV/Any File Formats.Perl - Basics, CPAN modules, File and Web scrapping/Handling.** Work from option is available check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2452_JOB Date Opened 05/04/2025 Industry IT Services Job Type Work Experience 3-5 years Job Title Ai engineer City Bangalore South Province Karnataka Country India Postal Code 560066 Number of Positions 1 ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1916_JOB Date Opened 06/05/2023 Industry Technology Job Type Work Experience 8-10 years Job Title ESG/Sustainability City Chennai Province Tamil Nadu Country India Postal Code 600089 Number of Positions 5 Should have actively worked at core level on ESG assignments with at least 3 different industrial sectors Good understanding on materiality assessment, data automation, ESG data monitoring & tracking Hands on experience and knowledge about GHG/ESG reporting & monitoring software/tools Strong verbal and written communications skills, as well as ability to work effectively across internal and external stakeholders. Good understanding of ESG / sustainability issues relevant to different industry sectors. Ability to lead customer calls by representing LTIMindtree well within a customers environment and drive discussions with senior personnel. Location: Pan India check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2004_JOB Date Opened 18/07/2023 Industry Technology Job Type Work Experience 4-6 years Job Title Data Analyst City Chennai Province Tamil Nadu Country India Postal Code 600034 Number of Positions 2 3 - 6 years of experience performing quantitative analysis in the financial services industry preferred but not required. Skilled "hands-on" user of SAS, R, MATLAB, SQL, and/or other statistically programming language required. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Position Title: Data Scientist Job Summary We are seeking a Data Scientist to develop and implement data-driven, AI-powered solutions across the organization. In this role, you will apply analytical, statistical, and programming expertise to clean, aggregate, and interpret large datasets translating complex information into actionable insights. You will leverage machine learning algorithms, generative AI (Gen AI), and Retrieval Augmented Generation (RAG) methodologies to drive innovation, inform strategic decisions, and eHectively communicate findings to both technical and non-technical stakeholders.

Must have skills required : SQL, Python, Healthcare Data, Claims data, Emr, healthcare data standards, large relational databases Good to have skills :RWD, RWE, HEOR We are looking for a highly motivated real-world evidence (RWE) data scientist who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Bangalore-based RWE analytics team at Clarivate. About You experience, education, skills, and accomplishments Graduate degree in Data science/analytics, Epidemiology, Biostatistics, or related quantitative field At least 3 years experience in a consultative, client-facing role At least 3 years experience using SQL, Python, programming against large relational databases leveraging interoperable-linked, patient-level data at scale Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, LOINC, Snomed, etc.) It would be great if you also had . . Experience evaluating fit-for-purpose data and implementing research protocols Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health What will you be doing in this role? Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, charge master) using SQL and Python to identify actionable insights for clients Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth Consult with clients to identify business problems and generate analytics-based solutions Develop and communicate technical, operational, and business specifications to junior analysts and engagement leads Work cross-functionally to support operational processes to deliver data analytics projects on time and with accuracy Contribute to the development and maintenance of internal documentation, code templates, analytics automation, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth. About the Team We are a highly motivated team of 20+ analytics, biostatistics, epidemiology, and data science professionals distributed across three countries, working together to provide analytics and insights using Clarivates RWD product for pharmaceutical, biopharma, and Med Tech clients. Hours of Work You will be expected to work on a work schedule (12: 00 PM IST to 9:00 PM IST) to provide for reasonable hours of collaborative work with the US team and there could be a slight extension on an as-needed basis.

KPI Partners is seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks. Key Responsibilities: Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications. Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access Process and prepare data to support RAG workflows, ensuring data quality and relevance. Integrate and manage various data types (e.g., text, images) to enhance retrieval and generation capabilities. Work closely with cross-functional teams to integrate data into our existing retrieval eco-system, ensuring seamless functionality and performance. Ensure the scalability, reliability, and performance of data retrieval in production environments. Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge. What we’re looking for: Master’s degree in Data Science or a related field is preferred. Approximately 8 years of experience in Data Science, MLOps, and Data Engineering Proven experience in AI and ML solution implementation, particularly in semiconductor manufacturing. Proficiency in Python Proven experience in data engineering and software development, with a focus on building and deploying RAG pipelines or similar information retrieval systems. Familiarity with processing multimodal data (e.g., text, images) for retrieval and generation tasks. Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions. Proficiency in Azure AI, Databricks, and other relevant tools.

About the Role: Grade Level (for internal use): 10 The Role Project Manager, Collection Platforms and AI The Team Collection Platforms and AI team is responsible for driving key automation projects, AI/ machine learning based solutions, collection platforms and lean initiatives across Enterprise Data Organization. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in-house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our clients need to do decisions with conviction, delivering it faster and on a scale while maintaining the highest quality standards. The Impact This role will be a part of IT Product Management and will work in a team responsible for leading the project management side of strategic initiatives related to the area of Data Science, ML, Gen AI /LLM based solutions. The role involves creating and maintaining the momentum with stakeholders, focusing on value and incremental results while continuously looking for the latest and newest technologies and machine learning solutions available for various uses cases across the Market Intelligence Division. Whats in it for you: You will be part of a team at the center of the transformation of a Fortune 500 company. You will be spearheading the strategic projects, witnessing the whole project life cycle, and deploying the end-to-end machine learning based data extraction solution. You will be working closely with stakeholders of various teams to understand their business challenges and to provide cuttingedge solutions to them. You will be getting immense exposure to commercial discussion with the vendors and will actively participate in the discussion with Legal, Finance and Technology teams. You will be part of a diverse, global and dynamic team. Responsibilities Interpret project requirements analyze and develop project plans, , and lead an end-to-end execution of the project. Engage with business leads and peers, interfaces with leaders across the organization. Builds strong internal and external relationships and ensures service quality and customer satisfaction Act as an extension of our client service model ensuring seamless service delivery across Business Operations for our clients. Actively participate in the evaluation of machine learning based & other solutions and lead the proof of concept for those solutions in collaboration with the Data Operations team and vendor. Build, synthesize and present strategic insights and recommendations to the stakeholders and ensure continuous communication with project stakeholders. Partner with Data teams and SMEs to drive the adoption of data standards, definitions, structures, hierarchies, taxonomies, attributes, and models to support and optimize end-to-end business solutions. Partner with IT and Scrum Teams to develop documentation and communication of system and process requirements to ensure smooth implementations. Act as a link between Scrum teams and vendor for any technical requirement. What are we looking for Basic Qualifications 7 + years of project management experience with a proven track record of leading and/or collaborating with teams, operations, and vendors in complex global matrix structures and business models. Technical experience/background in similar projects especially related to implementation of Data science, machine learning and Gen AI/LLM based projects Passion for understanding, learning, and identifying the latest technology trends and machine learning based solutions. Ability to drive initiatives independently, with minimal supervision, yet ensuring transparency to team members, SMEs, and other stakeholders. Ability to effectively communicate and collaborate with the key stakeholders to work towards generating value for the organization. Open-minded professional enjoying and used to working in a multicultural company. Preferred Qualifications Certified Project Management Professional or PRINCE2 is a plus Machine Learning, Gen AI/LLM and Cloud exposure Demonstrable track of continuous self-learning is valued. A degree in a relevant field such as Computer Science, Engineering and Data Science is preferred SAFe/Agile

Were Hiring! Calling All Tech Enthusiasts Are you a recent graduate from a top college whos passionate about AI and the latest technological innovations? Do you thrive on hands-on problem-solving and want to build software products that tackle niche business challenges ? We want you on our team if you: Stay ahead of the curve with emerging tech trends Have a passion for building and experimenting with new tools, methods Gained hands-on experience in designing and developing Generative AI solutions Love solving real-world problems using cutting-edge technology Join us and play a crucial role in shaping the future of software innovation! Ready to make an impact? Apply now or tag a friend who’d be a perfect fit. Why Join Us? Be part of a forward-thinking company that values innovation. Email- pooja.bandekar@vriodigital.com Grow your career with ample opportunities for professional development Work in a supportive and energetic environment Make a tangible impact by solving real business problems #Hiring #GenerativeAI #SoftwareDevelopment #Innovation #RecentGraduates

Role: Data Science Leader Experience: 10-15 years of overall experience, with at least 5+ years in Data science roles along with 24 years in a Leadership or Managerial capacity. Technical Skills: Data Science & Machine Learning Deep understanding of statistical modeling, predictive analytics, clustering, NLP, and time series forecasting. Strong grasp of model evaluation, fairness, explainability, and business alignment. Programming Proficient in Python (or R) with experience in data science libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Ability to read and review code, debug, and advise on best practices. Cloud Computing Working knowledge of at least one major cloud platform (AWS, GCP, Azure). Experience with cloud-native tools for data storage (S3, BigQuery), compute (EC2, GKE, Lambda), and ML services (SageMaker, Vertex AI, Azure ML). Data Engineering Fundamentals Understanding of data pipelines, ETL/ELT processes. Familiarity with tools like Airflow, dbt, Spark, SQL. Data Visualization Experience with dashboards and reporting tools (Tableau, Power BI, Looker, or custom visualizations using Plotly/Altair). Skilled in transforming complex outputs into clear, compelling narratives for non-technical stakeholders. MLOps / Deployment Familiarity with modern ML development and deployment practices. Basic understanding of deploying models to production, CI/CD pipelines, and monitoring. Generative AI Familiarity with GenAI concepts, including large language models (LLMs), embeddings, prompt engineering, and RAG pipelines. Familiarity with tools and APIs like OpenAI, Hugging Face, LangChain. Leadership & People Management Team Management Experience leading and mentoring teams of 510 individuals across varying levels. Proven track record of building and scaling Data science teams, delivering impactful projects Conduct performance reviews, manage career growth, and foster a healthy team culture. Cross-Functional Collaboration Proven ability to work closely with product, engineering, marketing, and business teams. Hiring & Talent Development Skilled in identifying top talent, conducting interviews, onboarding, and team capability building. Project & Stakeholder Management Project Management Experienced in managing multiple projects simultaneously. Comfortable with Agile methodologies, sprint planning, and delivery tracking. Stakeholder Communication Translating technical insights into business terms. Communicates technical insights clearly to senior executives. Problem Solving & Scope Management Ability to break down ambiguous business problems into solvable components. Define scope and ensure projects align with business impact. Strategic Thinking Aligns team objectives with company vision and business goals. Drives roadmap planning, and long-term capability building. Business Acumen Domain Knowledge Deep understanding of any one business vertical among the following e.g., telecom, BFSI, fintech, e-commerce, healthcare etc. Impact Orientation Focus on delivering measurable business value from data science efforts. Strong grasp of metrics, KPIs, and ROI-driven thinking. Strategic Thinking Ability to align data science efforts with long-term business goals. Soft Skills Exceptional communication, both verbal and written. Decision-Making: Balanced between data, intuition, team input and strategic vision. Empathy & Emotional Intelligence: Especially for managing team dynamics and motivation. Adaptability: In the face of changing priorities or business goals and organizational change.

4+yrs Data science,ML frameworks,MLOps, Python, Data engineering,Cloud platforms,Edge computing,Data manipulation libraries,Model development,Object,Experiment, design,Ab testing. Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

Knowledge of data science concepts and techniques, data visualization tools such as Tableau or Power BI. Knowledge of ML & data science platform such as Scikit-learn, Tensorflow. Experience with programming languages such as Python, and SQL Required Candidate profile Experience in Training or teaching

What this role entail Understand and translate statistics and analytics to address client business problems. Apply Statistical forecasting algorithms to forecast client business needs for short term and long-term horizon. Explore Machine learning and Deep learning techniques to improve statistical Forecasting accuracy. Create business narrative by using storytelling and Visualization techniques and to present analytical insights to clients. Structure business problems and design solutions to meet client needs. Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams. Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights. What lands you in this role At least 3 years hands-on experience as a data scientist working on R, SQL, Python Must have exposure to developing predictive analytics and machine learning algorithms for business applications Strong forecasting and Deep Learning experience will be a plus Hands-on experience in relevant tools like SQL, R, Python, Tableau, etc. B Tech/ BE or equivalent degree in Data Science, Statistics, Computer Science, or similar

About Blend360: Blend360 is a premier AI services provider, dedicated to solving complex business challenges through the power of Data Science, AI, and technology. We co-create impactful solutions by seamlessly integrating human expertise with artificial intelligence, fostering innovation, and unlocking value for our clients. Our mission is to fuel bold visions, and we believe that People + AI can create meaningful impact. For more information, visit www.blend360.com. Role Highlights: This is not just a leadership role it's a hands-on, execution-driven position where you will build, optimize, and deploy AI/ML models while leading a team. As a Manager Data Science , you will work at the intersection of machine learning, generative AI, and business problem-solving. Youll be responsible for developing cutting-edge solutions, guiding projects from ideation to production, and mentoring a team of data scientists to drive measurable impact. If you thrive in a fast-paced, hands-on environment where you can design, develop, and implement AI-powered solutions while leading from the front, wed love to have you on board! What Youll Tackle Each Day: Hands-on AI & ML Development: Build, train, and deploy ML models from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI. Perform feature engineering, statistical analysis, and model tuning to enhance predictive capabilities. Work with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently. Develop AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce. Optimize and automate machine learning pipelines for scalable deployment. End-to-End AI/ML Deployment: Own the full ML lifecycle , from development to deployment and monitoring. Collaborate with Data Engineering teams to build production-ready ML pipelines. Work with cloud platforms such as Azure, AWS, GCP, or Databricks for model deployment and monitoring. Design and implement A/B testing strategies to measure model impact. Project Execution & Delivery: Drive multiple AI/ML initiatives from concept to execution , ensuring quality and timely delivery. Partner with cross-functional teams (Product, Data Engineering, Business) to translate business problems into scalable AI solutions . Own project roadmaps, track milestones, and ensure stakeholder alignment. Communicate AI/ML concepts effectively to both technical and non-technical stakeholders . Leadership & Team Growth: Lead by doing mentor and guide a high-performance team of data scientists. Set technical direction, review code, and establish best practices in AI/ML development. Foster a culture of continuous learning, innovation, and hands-on problem-solving . Provide career development guidance and help team members achieve technical excellence. What You Bring to the Table: 8+ years of hands-on experience in Data Science & AI , with strong expertise in ML, Python, and SQL . Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities Deep understanding of ML algorithms , including NLP, LLMs, forecasting, and optimization techniques. Proven track record of building and deploying machine learning models in production environments. Expertise in at least one cloud platform: AWS, Azure, GCP, or Databricks . Strong grasp of statistics, probability, and causal inference . Ability to break down complex AI concepts for business stakeholders. Experience with big data tools (Hadoop, Hive, PySpark) and ML workflow automation . Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics .

Job Title: Lead Data Scientist NLP & Computer Vision Location: India (Remote, with monthly travel to Indore and occasional travel to the UK) Employment Type: Permanent, Full-time About the Role We’re seeking an ambitious and highly capable Lead Data Scientist with deep expertise in Natural Language Processing (NLP) and Computer Vision (OpenCV) to take a leading role in our AI journey. This is a hands-on technical role with strategic scope — ideal for someone who thrives in building robust solutions, mentoring others, and wants to grow into a Head of Data Science position.You’ll be responsible for delivering high-impact AI projects across diverse data domains (text, image, and structured data), while also setting technical direction, guiding junior colleagues, and helping shape our data science capability across the organisation. Excellent communication — both written and spoken — will be critical, as you’ll work closely with technical and non-technical stakeholders in India and internationally.Key Responsibilities• Design, build, and deploy production-ready NLP and computer vision models to solve real-worldproblems.• Lead by example with hands-on development, research, and experimentation using cutting-edge ML/DL techniques. • Guide and mentor a small team of junior/mid-level data scientists and actively contribute to their growth. • Collaborate with cross-functional teams (Engineering, Product, Business) across geographies. • Apply advanced NLP techniques (e.g. classification, summarisation, entity extraction, semantic search) using tools like spaCy, HuggingFace Transformers, BERT, GPT, etc. • Solve computer vision challenges (e.g. object detection, image classification, feature extraction) using OpenCV, PyTorch, TensorFlow, etc. • Drive quality and performance tuning, experimentation frameworks, and model lifecycle practices. • Contribute to defining a strategic roadmap for data science and AI within the business. • Work with cloud platforms (Azure, AWS) for model training, deployment, and monitoring. • Occasionally travel to Indore (monthly) and to the UK (as needed) for collaborative sessions and leadership meetings.Required Skills & Experience • 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. • Strong Python skills, including use of Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. • Experience deploying ML models in cloud environments (Azure, AWS, or similar). • Solid grounding in machine learning fundamentals and deep learning architectures. • Proven ability to solve end-to-end ML problems — from exploration to deployment and monitoring. • Experience mentoring junior team members or leading technical efforts. • Excellent spoken and written English communication skills – able to clearly convey complex ideas to both technical and business audiences. • Collaborative mindset, with the ability to engage confidently across distributed teams and international stakeholders.Nice to Have • Experience with MLOps, experiment tracking, and CI/CD for machine learning (e.g. MLFlow, DVC,Kubeflow). • Exposure to geospatial, public sector, real estate, or sustainability data domains. • Familiarity with ethical AI principles, model interpretability, and responsible data use.

Data Engineer to be a key player in building a robust data infrastructure and flows that supports our advanced forecasting models. Your initial focus will be to create a robust data factory to ensure smooth collection and refresh of actual data, a critical component that feeds our forecast. Additionally, you will be assisting in developing mathematical models and supporting the work of ML engineers and data scientists. Your work will significantly impact our ability to deliver timely and insightful forecasts to our clients. Whats in it for you: Opportunity to build foundational data infrastructure that directly impacts advanced forecasting models and client delivery. Gain exposure to and support the development of sophisticated mathematical models, Machine Learning, and Data Science applications. Contribute significantly to delivering timely and insightful forecasts, influencing client decisions in the automotive sector. Work in a collaborative environment that fosters continuous learning, mentorship, and professional growth in data engineering and related analytical fields. Responsibilities: Data Pipeline Development: Design, build, and maintain scalable and reliable data pipelines for efficient data ingestion, processing, and storage, primarily focusing on creating a data factory for our core forecasting data. Data Quality and Integrity: Implement robust data quality checks and validation processes to ensure the accuracy and consistency of data used in our forecasting models. Mathematical Model Support: Collaborate with other data engineers to develop and refine mathematical logics and models that underpin our forecasting methodologies. ML and Data Science Support : Provide data support to our Machine Learning Engineers and Data Scientists. Collaboration and Communication: Work closely with analysts, developers, and other stakeholders to understand data requirements and deliver effective solutions. Innovation and Improvement: Continuously explore and evaluate new technologies and methodologies to enhance our data infrastructure and forecasting capabilities. What Were Looking For: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Minimum of 3 years of experience in data engineering, with a proven track record of building and maintaining data pipelines. Strong proficiency in SQL and experience with relational and non-relational databases. Strong Python programming skills, with experience in data manipulation and processing libraries (e.g., Pandas, NumPy). Experience with mathematical modelling and supporting ML and data science teams. Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data services. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Experience in the automotive sector is a plus.

Techversant is looking for a visionary yet hands-on AI Solution Architect who thrives at the intersection of technology, business, and innovation. This is a client-facing leadership role for someone who can conceptualize, design, and deliver robust AI-driven applications while staying ahead of the curve with emerging AI trends and technologies. You will be responsible for the entire lifecycle of AI solution development from client discussions and requirements analysis to architecture design, algorithm selection, solution development, team guidance, and successful delivery. Key Responsibilities: Client Engagement & Consulting Interact directly with clients and stakeholders to understand complex business problems. Translate business needs into AI/ML opportunities and articulate solution strategies clearly. Present solution architectures, effort estimates, timelines, and potential ROI. Solution Design & Architecture Define end-to-end AI architecture including data pipelines, model selection, AI engines, integration layers, APIs, and deployment strategies. Make informed choices of AI/ML/DL algorithms, frameworks, and platforms based on problem type and constraints. Ensure the architecture is scalable, modular, secure, and optimized for performance. Hands-On Development Develop critical components or proof-of-concepts when needed. Perform hands-on design and coding for pipelines, model training, inferencing, or integrations. Create reusable components and automation scripts for repeatability. Team Leadership & Delivery Oversight Build and mentor a high-performing AI development team. Drive agile development cycles, ensuring timely and quality delivery. Collaborate with DevOps, Product Managers, and QA teams throughoutSDLC. Must-Have Skills: AI/ML/DL Expertise Proven experience with supervised, unsupervised, and reinforcement learning. Deep knowledge of ML algorithms (e.g., XGBoost, SVM, Random Forest) and DL architectures (CNNs, RNNs, Transformers, LLMs). Hands-on with Python, PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face, etc. Architecture & System Design Strong grasp on designing large-scale AI/ML pipelines using microservices, APIs, and cloud-native architecture. Experience designing MLOps workflows (CI/CD for ML) using tools like MLflow, Kubeflow, Airflow, DVC. Cloud & Platforms Proficient in AWS/GCP/Azure AI/ML services (e.g., SageMaker, Vertex AI, Azure ML Studio). Familiarity with vector databases (e.g., FAISS, Pinecone), model versioning, and deployment strategies (e.g., REST APIs, gRPC, containers, Kubernetes). Data Engineering Working knowledge of data wrangling, preprocessing, ETL, feature engineering, data versioning. Tools: Spark, Pandas, Snowflake, Kafka, Databricks, Delta Lake. Product & Project Ownership: Ability to estimate efforts, manage scope, and align delivery with client expectations. Experience in productizing AI models and integrating them into full-stack applications. Soft Skills Excellent communication, stakeholder management, and presentation skills. Ability to simplify complex AI concepts for non-technical stakeholders. Preferred/Nice-to-Have: Experience with Generative AI (LLMs, GPT, BERT, Stable Diffusion, LangChain, RAG, etc.) Knowledge of Prompt Engineering, Fine-Tuning, and RLHF Experience in NLP, Computer Vision, Time Series, or Recommendation Engines Understanding of ethical AI, explainable AI, and compliance in AI systems Publications, contributions to open-source, or AI certifications Education: Bachelors or Masters degree in Computer Science, Data Science, AI, or related fields. Certifications in Cloud AI/ML platforms or advanced AI specializations

Hello, Greetings from GlobalData!!! Job opening for Data Science Manager role @ GD-Bengaluru Job Criteria :- Qualification: B.Tech/BE/MCA/M.Tech/M.Sc-(Computers) Experience Range : 8 to 12 years Key Skills : ML and AI-driven solutions, including traditional models, NLP, LLMs, Generative AI, and Computer Vision projects, scikit-learn, pandas, TensorFlow, and PyTorch, Traditional ML, Generative AI, NLP, Statistics, and LLMs. Knowledge of Agentic AI is a plus Notice Period : Immediate joiners or with one month notice period Job Location : Bengaluru Work Mode : Hybrid Salary : best as per market standard's Detailed job description given below, If requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line : Applying for Data Science Manager role-Bengaluru @ GlobalData Please Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Present Location : Job Description :- Role : Data Scientist Manager Experience Level: 8 to 12+ years Job Location: Bangalore Key Responsibilities: - Drive the Data Science initiatives in the product roadmap Collaborate with cross-functional teams to deliver ML and AI-driven solutions, including traditional models, LLMs, Generative AI, and Computer Vision projects. Support model development, evaluation, and deployment in a production-grade environment. Engage actively in data exploration, feature engineering, and model refinement Participate in discussions with engineering (data and software) and product managers, ensuring technical feasibility and business alignment. Mentor and groom the team to become efficient data scientists Conduct the training sessions for the team to be on top of the technology trends in the market Take ownership of assigned deliverables and demonstrate independent problem-solving and execution skills. Stay updated with the latest advancements in AI/ML and proactively apply learnings to ongoing work. Candidate Requirements :- Bachelors or Masters degree in computer science, Data Science, Statistics, Engineering, or a related field. 8 to 12+ years of experience in applied data science in verticals of heterogeneous datasets Strong programming skills in Python and experience with libraries like scikit-learn, pandas, TensorFlow, and PyTorch. Hands-on experience in Traditional ML, Generative AI, NLP, Statistics, and LLMs. Experience in Agentic AI is a plus. Excellent communication skills, especially in cross-team settings with engineering or product stakeholders. Experience in leading a team of data scientists Demonstrated curiosity, initiative, and drive to solve diverse problems. Thanks & Regards, Salim (Human Resources)