8312 Machine Learning Jobs - Page 21

Develop robust applications and automation solutions using Python. Focus on writing efficient code for web applications, data analysis, and automation, ensuring scalability and performance across platforms.

Design, develop, and maintain data pipelines and databases. Ensure the efficient collection, processing, and storage of large datasets, enabling data analysis and decision-making across organizations.

Develop and implement solutions using Quantexa’s network analytics platform. Build data models and algorithms to identify connections and insights for improving business decision-making.

Job Title: Head of Analytics & Data Science BPM(Multi-Vertical) Location: India Gurgaon Department: Analytics Reports to: Chief Capability Leader Experience Required : 16+ years (with at least 5 years in senior analytics and data science leadership across multiple industries) Education : Masters or Bachelor's in Data Science, Statistics, Engineering, Business, or related field Job Summary : The Head of Analytics & Data Science will lead the end-to-end data and analytics strategy across multiple BPM industry verticals, delivering actionable insights, digital transformation, and measurable business impact to internal stakeholders and global clients. T his role demands deep expertise in analytics and advanced data science , combined with strong domain knowledge across Shipping & Logistics, Telecom, Insurance, Energy & Utilities, Retail & Diversified, Banking & Financial Services (BFS), Healthcare & Life Sciences, Automotive, and Travel & Leisure. The ideal candidate will drive analytics and data science maturity, scalable delivery models, and innovation through AI/ML, automation, and applied data intelligence . Key Responsibilities : 1. Strategic Analytics & Data Science Leadership Define and execute a unified analytics and data science roadmap aligned with the organizations digital and business transformation goals across all verticals. Champion the integration of advanced data science techniques (predictive modelling, optimization, machine learning) into core business functions. Collaborate with business leaders to embed data-driven decision-making i nto strategic and operational processes. 2. Client-Facing Solutioning & Delivery Serve as the senior advisor to clients, leading discovery sessions, solution design, and execution of advanced data science and analytics programs. Design customized , vertical-specific analytics and AI/ML solutions: Shipping & Logistics : Route optimization, warehouse analytics, predictive delivery Telecom : Churn prediction, usage pattern modelling, customer lifetime value Insurance : Fraud detection, risk scoring, claims analytics Energy & Utilities : Load forecasting, asset health modelling Retail & Diversified : Customer 360, pricing optimization, market basket analysis BFS : Risk modelling, credit scoring, anti-money laundering (AML) analytics Healthcare & Life Sciences : Patient outcome prediction, RWE analytics, care pathway modelling Automotive : Predictive maintenance, quality analytics, connected vehicle data modelling Travel & Leisure : Dynamic pricing, demand forecasting, personalization and loyalty analytics 3. Operational Analytics & Governance Establish and enforce best practices in data science model lifecycle management, data governance, and analytical operations. Drive efficiency and SLA improvements through continuous monitoring, dashboards, and KPI frameworks. Ensure m odel explainability, compliance (e.g., GDPR, HIPAA), and responsible AI principles in delivery. 4. Team Development & Leadership Build and lead high-performance global teams of data scientists, ML engineers, BI developers, and domain experts. Establish Centers of Excellence (CoEs) for analytics and data science by industry vertical and capability. Foster a c ulture of experimentation, innovation, and continuous learning in AI, ML, and data science. 5. Technology & Innovation Enablement Oversee the adoption of best-in-class platforms and tools: BI : Power BI, Tableau, Qlik Data Science & ML: Python, R, SAS, TensorFlow, Scikit-learn Cloud & Big Data: AWS, Azure, GCP, Spark, Databricks Lead initiatives involving generative AI, NLP, and real-time analytics to improve process automation and customer experience. 6. Data Science Excellence Own the design and scaling of ML pipelines, model ops frameworks, and AI-driven workflows across client programs. Introduce innovation in forecasting, classification, clustering, and optimization models. Build partnerships with academic institutions, AI labs, and vendors to continually enhance the firm’s data science maturity. Key Skills & Competencies : Deep multi-vertical expertise with strong domain understanding across listed industries Expertise in data science, statistical modelling, and ML deployment at scale Strong consultative, problem-solving, and solution architecture capabilities Executive presence and stakeholder management with global clients Proven ability to build analytics and data science teams, COEs, and delivery frameworks Preferred Background Senior leadership experience in analytics and data science within a BPM/KPO/Shared Services/Consulting environment Track record of driving data science-led transformation in client engagements Experience delivering programs for US, UK/EU, and APAC markets Familiarity with regulatory requirements and ethical AI standards across industries

Position Overview: We are looking for a results-driven Data Analyst with 3-8 years of experience to join our growing team focused on AI/ML data operations and analytics. The ideal candidate will have strong data wrangling skills and a passion for uncovering insights from complex datasets to inform labeling strategies, model training support, and product decisions. This role requires close collaboration with machine learning teams, program managers, and stakeholders to design scalable dashboards and actionable insights for AI/ML workflows. Key Responsibilities: Analyze large volumes of labeled and unlabeled data to identify trends, anomalies, and labeling patterns that can improve model training or operational efficiency. Design and maintain automated dashboards and reporting frameworks to track labeling quality, throughput, and issue trends. Partner with Client leadership to understand data requirements and provide actionable insights for model optimization. Develop scalable data pipelines for data validation, aggregation, and visualization. Apply data mining techniques to evaluate annotation consistency, inter-rater reliability, and data quality. Contribute to AI data evaluation strategies through analytical experimentation and feedback integration. Collaborate with cross-functional teams to enhance data annotation workflows and ensure metrics alignment. Requirements : Bachelors degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. 3–8 years of hands-on experience in data analysis roles, preferably in AI/ML or data labeling environments. Proficient in SQL and Python for data manipulation, analysis, and automation. Understanding of data labeling workflows and familiarity with metrics like accuracy, precision, recall, and inter-rater agreement. Strong analytical thinking with the ability to interpret large datasets and provide actionable insights. Excellent communication skills with the ability to present findings to both technical and non-technical audiences. Self-starter with a keen eye for detail and a passion for working in AI-driven data environments.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Data Scientist II - Analytics At Expedia Group, our mission is to power global travel for everyone, everywhere. If you're passionate about creating exceptional customer experiences and thrive in a collaborative, fast-paced, high-growth environment, you’ll love being part of Expedia Group’s InsurTech team. In InsurTech, we empower travelers around the world with confidence to book, peace of mind, and protection when the unexpected happens—through an innovative portfolio of customer-centric, risk-based products. We’re looking for an exceptional Data Scientist II, Analytics to join our team. If you have a strong analytical mindset, a strategic approach, and a bias for action, this is your opportunity to make a real impact. In this role, you’ll collaborate closely with product partners to optimize and launch best-in-class insurance and FinTech products. This is an exciting opportunity to join a dynamic, international team where data is at the heart of every decision, and customer centricity drives everything we do. What you will do: Collaborate with product teams to harness data from diverse sources—uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement. Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development. Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers. Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions. Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs. Who you are: Must Have: Educational Background : Bachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field. Experience : 2+ years of analytics experience with a focus on product analytics and measurements. Technical Expertise : Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets. Cross-functional Collaboration : Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies. Problem-Solving & General Management : Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships. Good to Have: Advanced Analytical Skills : Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance. Economic Modeling : Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial. Multivariate Analysis : Familiarity with regression, classification, and other multivariate analysis methods. Machine Learning Models : Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. India - Haryana - Gurgaon Technology Full-Time Regular 06/26/2025 ID # R-96322

Job Title: Lead / Senior/ Data Scientist Experience: 8 to 15 years - Min 5+ Years in Data Science Location: Hyderabad, Hybrid Working hours: 12.00pm to 9.00pm Must Have: Gen AI, ML, Deep Learning, NLP, ML Ops, Data Model Developments and Deployments Key Responsibilities: Provide thought leadership, strategic insight, and clear communication on Data Science and execution for complex problems. Plan, coordinate, and oversee all technical aspects of our AI projects. Ensure that project goals align with the company's objectives and meet the needs of our stakeholders. Design and implement data-driven solutions using Microsoft Azures tools and services, such as Azure Machine Learning, Azure Databricks, Azure Data Factory and Azure databases or Fabric implementation. Ensure these solutions are scalable, reliable, and secure. Develop and implement sophisticated AI models to solve complex business problems. Use these models to generate actionable insights that drive strategic decision-making. Lead a talented team of data scientists working in multiple regions. Foster a collaborative environment that encourages innovation and professional growth. Work closely with cross-functional teams to understand their needs and challenges. Leverage your expertise to provide data-driven AI solutions that address these issues. Leverage large volumes of data from various sources to extract meaningful insights. Present these insights in a clear and concise manner to stakeholders. Drive feedback loop for the models implemented in production using metrics to ensure our whole ML Ops pipeline is effective and continuously refreshed with the right data set and algorithms. Stay updated with the latest trends and advancements in data science, machine learning, GenAI space and cloud computing.

CONSULTANT ROLE with Machine Learning Excellent Communication skills so they will need to talk to customers on Adobe Products and License Management Q&A to clarify who has command over language. Knowledge in AI They will need to be extra smart to define the conversation and out across customer satisfaction. Noida 25A 4+ years Immediate joiner only or 15 days np

We are looking for passionate and motivated Python / AI Developers to join our growing team. This is an excellent opportunity for freshers or junior developers to work on exciting AI projects and enhance their technical skills.

Consultant Role in Machine Learning (Adobe Products & License Management) Location : Noida, 25A Experience : 4+ years Company : KPMG/PWC or similar Role Overview: As a consultant with expertise in machine learning, you will work closely with customers, particularly in industries that rely heavily on Adobe products and software licensing. The ideal candidate will be responsible for ensuring smooth communication between the client and the company, while also leveraging AI/ML technologies to support their needs. Your role will involve: Customer Interaction & Communication: Serve as the primary point of contact for clients, especially around Adobe products (such as Adobe Creative Cloud, Adobe Experience Manager, etc.). Act as a liaison between the client and the internal teams to ensure clear and effective communication on licensing, support, and product usage. Use excellent communication skills to understand the clients requirements, address queries, and ensure customer satisfaction. Engage in Q&A sessions with clients to clarify any technical or functional ambiguities, ensuring they are well-informed about product capabilities and licensing management. Machine Learning Expertise: Apply machine learning techniques to help clients derive insights from their data (e.g., customer usage patterns, content creation trends). Work on implementing AI models for enhancing Adobe product capabilities, such as automated content recommendations, predictive analytics, or product usage optimization. Translate complex AI concepts and solutions into easy-to-understand terms for clients, ensuring the clients team can understand and adopt solutions. License Management: Manage and optimize software licenses for Adobe products within client organizations, ensuring compliance and cost-effectiveness. Help clients understand how to best allocate and manage Adobe licenses to suit their needs, balancing usage with budget constraints. Analyze and recommend strategies for improving license management workflows using both AI tools and industry best practices. Customer Satisfaction: Be a key player in ensuring the clients overall satisfaction by managing expectations, offering solutions to pain points, and ensuring timely resolution of issues. Use your expertise in AI and machine learning to suggest smart solutions that streamline client processes and improve their Adobe product experiences. Continuously assess client needs and offer proactive suggestions to enhance their use of Adobe products. Skills and Qualifications: Education : Bachelors or Masters degree in Computer Science, AI, Data Science, or related field. Experience : 4+ years of experience in consulting, with a focus on machine learning, AI, or Adobe products. Technical Knowledge : Strong knowledge of Adobe software products (e.g., Adobe Creative Cloud, Adobe Document Cloud). Familiarity with licensing models and management for Adobe products. Practical experience applying machine learning algorithms and AI solutions to real-world business problems. Familiarity with data analysis and automation tools that can improve product use and licensing efficiency. Communication Skills : Exceptional verbal and written communication skills, with an ability to explain complex technical concepts to non-technical stakeholders. Problem-Solving : Strong analytical and problem-solving skills, with the ability to think critically about business needs and customer challenges. Client-Centric : Proven track record in a customer-facing role, with a focus on customer satisfaction and relationship-building. This role would likely be ideal for someone with a strong understanding of both machine learning and customer relations. The key to success would be your ability to translate AI/ML concepts into actionable business insights while ensuring customers feel heard and supported. Would you like more details about any specific area of this role? You said: give this in a job description manner with proper required skill set ChatGPT said: Certainly! Here's the job description tailored to the role youve described: Job Title: Consultant Machine Learning, Adobe Products & License Management Location: Noida, 25A Experience: 4+ Years Job Overview: We are seeking a highly skilled and customer-focused Consultant with expertise in Machine Learning, Adobe Products, and License Management. In this role, you will act as the key point of contact for clients, leveraging your AI/ML knowledge and strong communication skills to provide optimal solutions and ensure customer satisfaction. You will work closely with clients to manage their Adobe products and licenses, while using advanced AI technologies to enhance their experience. Key Responsibilities: Customer Interaction & Communication: Serve as the primary liaison between clients and internal teams for all matters related to Adobe products and licensing. Lead customer calls, meetings, and Q&A sessions to address client queries and ensure clear understanding of Adobe products and license management. Provide expert guidance on Adobe product features, best practices, and licensing options to optimize the client's business needs. Ensure clients requirements are fully understood and translated into actionable solutions. Machine Learning Expertise: Apply machine learning and AI techniques to help clients extract actionable insights from their data and optimize their use of Adobe products. Develop and implement AI models that can enhance Adobe products, such as predictive analytics, automated content recommendations, and personalized solutions. Translate complex AI concepts into clear and simple terms for clients, ensuring effective understanding and buy-in. License Management: Assist clients with managing their Adobe software licenses, ensuring compliance, cost optimization, and efficient resource allocation. Provide recommendations to improve licensing workflows and reduce inefficiencies, leveraging AI tools where applicable. Help clients understand and manage Adobes licensing models to align with their organizational needs. Customer Satisfaction: Ensure the highest level of customer satisfaction by providing timely, effective solutions and consistently exceeding client expectations. Proactively address and resolve client pain points, ensuring that their needs are met while aligning with business objectives. Actively listen to client feedback and adjust strategies to ensure continuous improvement in customer service. Required Skills & Qualifications: Education : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience : Minimum of 4 years of experience in a consulting role, focusing on machine learning, AI, or Adobe products. Proven track record of working with clients to manage software licenses, especially for Adobe products (Creative Cloud, Document Cloud, etc.). Strong experience applying machine learning algorithms to real-world business problems. Technical Skills : Strong understanding of Adobe products (Creative Cloud, Document Cloud, Adobe Experience Manager, etc.). Knowledge of Adobe product licensing models and management best practices. Expertise in machine learning algorithms, AI technologies, and data analytics. Familiarity with automation tools, data pipelines, and analytical platforms that can optimize license management and product usage. Communication Skills : Excellent verbal and written communication skills, with the ability to simplify and explain technical concepts to non-technical stakeholders. Ability to lead discussions and present technical solutions in a client-friendly manner. Problem-Solving & Analytical Skills : Strong analytical thinking with the ability to assess complex situations and provide innovative solutions. Ability to identify patterns and insights from data to improve client workflows and product usage. Customer-Centric Approach : Proven ability to build and maintain strong client relationships, ensuring customer satisfaction and successful project outcomes. Skilled at managing client expectations and delivering results that align with client goals. Preferred Skills (Optional): Knowledge of cloud-based systems and data infrastructure. Experience with enterprise-level product integration. Familiarity with project management tools and methodologies. Why Join Us? Innovative Environment : Work on cutting-edge technologies in machine learning and AI. Career Growth : Opportunity to grow within a leading consulting firm and gain expertise across diverse industries. Client Impact : Play a key role in shaping customer experiences and optimizing their use of Adobe products.

SP Tech is looking for a skilled AI / Python Developer to join our AI development team. If you are passionate about building AI-powered solutions and have hands-on experience in Python programming and AI/ML development, we would love to connect with you. This role offers the opportunity to work on innovative AI projects, collaborate with a dynamic team, and contribute to building real-world AI solutions for global clients. Key Responsibilities: Develop and deploy AI/ML models for real-world applications Write clean, efficient, and scalable Python code for AI projects Work with large datasets, data preprocessing, and feature engineering Collaborate with the AI team on research, prototyping, and production implementation Integrate AI models into applications, APIs, and platforms Stay updated with the latest AI/ML trends and technologies Participate in code reviews and knowledge-sharing sessions Required Skills & Qualifications: 2 to 5 years of professional experience in Python development Strong understanding of AI/ML fundamentals and algorithms Hands-on experience with popular AI/ML libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. Experience with building APIs and integrating AI models into applications Solid understanding of data structures, algorithms, and software design principles Familiarity with cloud platforms (AWS, Azure, GCP) is a plus Excellent problem-solving and analytical skills Strong communication and teamwork abilities Preferred (Nice to Have): Experience with NLP, Computer Vision, or Generative AI projects Knowledge of MLOps and AI model deployment practices Exposure to working in Agile environments

Summary: You will be a key member of the innovation lab at Ashley Furniture, responsible for driving the integration of AI across all aspects of the business. You will be a strategic engineer, responsible for creating and implementing new technologies that will revolutionize the customer experience, augment the workforce, and unlock new opportunities for Ashley Furniture. You will be responsible for the technical design, development, testing, and implementation of complex problems and seeding opportunities to proof of value of new products and features. The selected candidate will be required to have an X-shape profile and possess a deep understanding of first principles. Primary Job Functions: Lead the development and implementation of new technologies that will transform the customer experience, augment the workforce, and create new opportunities for Ashley Furniture. Collaborate with cross-functional teams to identify business problems that can be solved using AI technologies. Develop advanced algorithms and models to extract insights from data and create recommendations for business decisions. Implement machine learning models using Python, Typescript, C#, Java, and other relevant programming languages. Lead the team in developing prototypes and proof-of-concepts to demonstrate the feasibility of new technologies. Stay up to date with the latest developments in AI, machine learning, and related fields, and identify potential applications for Ashley Furniture. Mentor and guide junior engineers to help them develop their skills and deliver high-quality work. Demonstrate the Companys Core and Growth Values in the performance of all job functions. Education: Bachelor's or masters degree in Computer Science, Mathematics, or related field. Experience: 9-15 Years of experience in developing technology solutions, integrating, or creating AI and machine learning models. Knowledge, Skills and Abilities: X-shape profile, with a deep understanding of first principles. Proficient in Python, Typescript, C#, Java, CSS and other relevant Experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, etc. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to lead a team and work independently. Strong project management skills. programming languages. Strong attention to detail Excellent verbal and written communication skills Excellent interpersonal skills Effective time management and organizational skills Work independently as well as in a team environment Document management system Analytical and problem solving skills Maintain confidentiality If you feel you have the necessary skill sets and are passionate about the job, please send your profile to vthulasiram@ashleyfurnitureindia.com

HIRING FRESHERS OPENINGS BE B.TECH CSE,IT,ECE,EEE,MCA 2023,24,25 Passout With Good Communication Immidiate Joiner Only

Analyze client requirements and design RPA solutions to meet identified business needs Design develop and implement end to end RPA solutions using UiPath Studio and Orchestrator Configure UiPath workflows using efficient well structured and maintainable practices Utilize UiPath Data Service to model and manage persistent business data across automation projects Build intuitive user friendly apps using UiPath Apps for enhanced user interaction Implement intelligent automation by integrating machine learning models through UiPath AI Center Design and maintain document processing workflows using UiPath Document Understanding Develop and consume API services REST SOAP to integrate UiPath bots with third party systems Collaborate with stakeholders BAs and QA to align automation solutions with business objectives Participate in daily stand ups and client meetings work flexibly to align with onshore business hours Use GitHub or other version control systems to manage and maintain code repositories Troubleshoot production issues and provide timely resolutions to ensure business continuity Prepare documentation for solution design test plans UAT scenarios and deployment steps Support operational teams during UAT and production rollout phases Maintain awareness of automation best practices and contribute to process improvement Possess basic knowledge of Blue Prism to assist in multi platform environments and support transitions where necessary About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

Responsibilities Data mining and analysis using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analyses Building and optimizing data models using machine learning techniques Skills and Qualifications Must have: At least 2 years of experience working on data science projects delivered to external clients. Proficiency with programming languages: Python, PySpark, and SQL. Proficiency with common data science tools: Scikit-learn and at least one among TensorFlow, Keras, PyTorch, or equivalent Experience with forecasting techniques using Time series methods and causal forecasting methods Experience with applying supervised and unsupervised learning techniques on unstructured and semi-structured data Experience with predictive modeling, deploying, and monitoring ML solutions in an iterative or Agile/DevOps environment using lifecycle management methods and tools Degree in Statistics/Quantitative Analyses, Computer Science, Mathematics, Operations Research, or other related technical fields with equivalent practical experience Excellent English verbal and written communication skills Nice to have: Experience with Natural Language Processing (NLP) techniques. Familiarity with Microsoft Azure services and tools Experience with the agile methodology for data science projects.

Job description Hiring for Data science/Gen AI with experience range 3 years & above Mandatory Skills: Data science/Gen AI Education: BE/B.Tech/MCA/M.Tech/MSc./MS Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Primary Skill Genai, Langchain, Python, SQL Location –Bengaluru Experience – 3 Years to 6 Years Work Mode – Hybrid (3-4 Days work from office) Notice Period – Immediate to 30 Days Official

The candidate will have to leverage strong collaboration skills and the ability to extract valuable insights from highly complex data sets to ask the right questions. You'd be engaged in a fast-paced learning environment and will be solving problems for the largest organizations in the world mostly Fortune 500. The candidate will also work closely with internal business teams and clients to work on various kinds of data related problem solving like creating dashboards, automation, reporting, predictive and prescriptive analytics. Key Responsibilities: Model Development and Deployment: Design, implement and deploy scalable machine learning models using Azure ML Workbench and Azure Cognitive Services (e.g., Open AI, NLQ) Algorithm Expertise: Apply strong knowledge of machine learning algorithms (like Linear regression, logistic regression, decision trees, random forest and time series forecasting) to solve complex business challenges and enhance our existing models. Collaborative Development: Work closely with our data science and engineering teams to integrate models into cloud-based applications and services. Optimization: Continuously monitor model performance and iterate to improve accuracy and efficiency. Stay Updated: Keep abreast of the latest developments in the ML field, especially concerning Azure and associated technologies, ensuring our solutions remain industry leading. Required Skills & Experience: 4-8 years of extensive hands-on experience with developing ML Models and leveraging auto ML tools like Data Robot, Azure Cognitive Services and others Capabilities to implement GenAI/Open source LLM models and run various Natural Language Processing based algorithms Proficient in SQL and Python with experience using libraries such as Pytorch, pandas, NumPy and scikit-learn. Strong understanding and practical knowledge of various machine learning and deep learning algorithms Proven track record of deploying scalable machine learning models in real-world applications. Strong problem-solving skills and the ability to translate business requirements into analytical solutions. Solid understanding of statistical modelling techniques (e.g., regression, clustering, time series analysis), hypothesis testing, and experimental design. Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot) to effectively present and communicate complex data insights. Familiarity with big data technologies (e.g., Hadoop, SnowFlake, Spark) and database languages (e.g., SQL) for handling and processing large-scale datasets. Deep knowledge and understanding of CPG industry, Supply chain and Inventory forecasting Preferred Qualifications: Bachelors degree in computer science, Engineering, Operations Research, Math, Economics, or related discipline Strong SQL, Python and Power Bi knowledge with hands-on experience Ability to work effectively & independently in a fast-paced environment with tight deadlines. Ability to engage with cross-functional teams for implementation of project and program requirements.

As a Graphic Designer, you will be leading the quality of all design creatives, and social media deliverables. Your role involves implementing and maintaining quality assurance processes, providing feedback to designers, and ensuring that all creatives aligns with client objectives and brand guidelines. You will play a crucial role in maintaining the integrity of our content and ensuring its effectiveness across various platforms. Note - Candidates with Creative Agency background preferred. Job Responsibilities:Oversee the quality of all graphic design content for Client delivery, including social media creatives, posts, general creatives, marketing materials, social media posts, and more. Ensure design is engaging, error-free, and meets client specifications. Collaborate with clients to understand their design needs and expectations. Ensure all content exceeds client requirements and address any concerns or revisions promptly. Identify areas for improvement in the creative delivery and strategy process and implement changes to enhance efficiency and quality. Work closely with designers, and project managers to provide constructive feedback and guidance. Strategize design ideas with clients, ensuring that creative strategies effectively address their needs and goals. Qualifications:3+ years of experience in graphic designStrong portfolio demonstrating social media design skillsExecute visual direction for all social media contentResearch oriented and self-motivated for qualityCapability to make stand-out visualsCollaborate with copywriters to develop cohesive and compelling visuals. Ensure all designs are consistent with brand guidelines. Case study and case board design experienceAdobe Creative Suite (Photoshop, Illustrator, etc. AI design tools usage

Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers. Processing, cleansing, and validating the integrity of data to be used for analysis. Required Candidate profile Should have expo f Data Science, Machine learning, Hive, Hadoop,Python, SQL, NLP, Gen AI etc. Should have Team handling and US Client handling exp. Pharma / biotech / healthcare industry preferred

Job Title Python/Pyspark Lead Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Primary skills:Technology->Analytics - Packages->Python - Big Data,Technology->Big Data - Data Processing->Spark,Technology->ETL & Data Quality->ETL & Data Quality - ALL,Technology->Machine Learning->Python Preferred Skills: Technology->Analytics - Packages->Python - Big Data Technology->ETL & Data Quality->ETL & Data Quality - ALL Technology->Big Data - Data Processing->Spark->SparkSQL Technology->Machine Learning->Python Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit * Location of posting is subject to business requirements

As a TA Intern, you will play a crucial role in helping us scale our teams by supporting bulk hiring efforts, coordinating recruitment processes, and assisting with end-to-end recruitment tasks. This role is ideal for someone looking to gain hands-on experience in recruitment and HR processes.. Selected Intern's Day-to-day Responsibilities Include. Assisting the recruitment team in sourcing and screening potential candidates through job boards, social media, and professional networks. Conducting initial phone interviews to assess candidates' qualifications, experience, and cultural fit. Coordinating and scheduling interviews between candidates and hiring managers. Maintaining and updating the applicant tracking system (ATS) with candidate information, job postings, and hiring statuses. Posting job openings on internal and external platforms, including the company website, job portals, and social media.

Key Responsibilities. Architect, build, and deploy AI/ML models for SaaS products at scale.. Lead the end-to-end lifecycle of AI projects from data exploration, model development, validation, and deployment, to monitoring and maintenance.. Collaborate with Product Management, Engineering, and Design teams to integrate AI capabilities into product offerings.. Implement and optimize Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs), and other emerging AI/ML techniques.. Define and uphold best practices in AI model development, MLOps, and scalable deployment.. Mentor and guide a team of AI/ML engineers, setting technical direction and fostering a culture of innovation and excellence.. Partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives.. Stay abreast of advancements in AI and contribute thought leadership internally and externally.. Required Skills & Experience. 10 to12 years of experience in AI/ML engineering, with a strong record of working in SaaS and product-based environments.. Expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and/or Generative AI.. Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.. Solid experience in designing scalable AI architectures and deploying models in production environments (AWS, GCP, Azure, etc.. Strong programming skills in Python; familiarity with other languages like Java, Go, or Scala is a plus.. Deep understanding of MLOps, CI/CD for machine learning pipelines, containerization (Docker, Kubernetes).. Experience with LLM fine-tuning, prompt engineering, vector databases (e., Pinecone, FAISS) is highly desirable.. Has experience is having trained a SLM (or Medium Language Model), for a particular vertical.. This includes pre-training and fine-tuning.. Strong problem-solving skills and ability to navigate ambiguous technical challenges.. Excellent communication, leadership, and stakeholder management skills.. Preferred Qualifications. Master's or Ph.in Computer Science, Machine Learning, Data Science, or a related field.. Experience in Go-to-Market Strategy for AI-powered products.. Experience integrating AI into customer-facing SaaS products with measurable outcomes..

Job Summary We are seeking skilled and motivated Data Scientists with 4+ years of experience in data science with good domain understanding. The ideal candidate will have a strong foundation in data science concepts, proficiency in analytical tools, and the ability to translate data insights into actionable business recommendations. This role requires a blend of technical expertise and business acumen, preferable in financial (credit, risk) fields, to drive data-driven decision making. This will be an individual contributor role or lead for a small team (if relevant experience is present). Qualifications. Education :. Bachelor of Engineering or master's in quantitative areas.. It is mandatory that the ideal candidate should be from tier 1 institutes.. Experience. 4+ years of experience in data science and business analytics projects.. The ideal candidate should exposure in Credit risk analytics.. Proven experience in data handling, analytics with good exposure to statistical analysis and machine learning.. Technical Skills. Expertise in programming languages such as Python and SQL.. Expertise in machine learning algorithms.. Soft Skills. Strong analytical and problem-solving skills.. Excellent communication and interpersonal skills.. Ability to lead a team.. (ref:hirist.tech). Show more Show less