5534 Data Science Jobs - Page 38

Hiring for a Data Science Trainer! Experience : 2yr+ Salary: As per company norms Location : Chinchwad and Shivajinagar, Pune - Maharashtra Joining: Immediate/15 days Industry Type: Education / Training Department: Trainer/ Teaching Faculty Work Mode: Work From Office (Full time Job) Skills : Python, Machine Learning, AI, NLP, Deep Learning, Power BI, SQL, Tableau, pytorch, data engineering, data science, data analytics etc Job Description:- Candidates must have the ability to take both theory and practical sessions. Should have excellent knowledge on Python Data Science technologies. Should be able to teach Machine learning, deep learning, artificial Intelligence, SQL, Django Able to resolve students' queries,dynamic personality. We expect good communication and presentation skills. Able to explain complex subjects in a clear and interesting way. Should be flexible to conduct Weekend Batches as well as Weekday Batches. Responsibilities and Duties:- Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda & execute training sessions Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements. This is an exciting opportunity for a results-driven professional. If you have a passion, we encourage you to apply. Apply Now: Drop your resume on 7360000325 or rkamthe@sevenmentor.com.

Job Title: Data Scientist Classical ML Experience Level: L3 / L4 (5–7 Years) Location: Bangalore, Pune, Chennai, Gurugram, Hyderabad, Kolkata Employment Type: Full-Time Work Mode: Hybrid (Work from Office) Max Budget: 40 LPA About the Role We are seeking skilled Data Scientists with 5+ years of relevant experience in SQL, Python, and Classical Machine Learning . The ideal candidate should have strong domain knowledge in one or more of the following areas: Marketing Analytics, Supply Chain Analytics, or Pricing & Promotion Optimization . Open Positions 1. L3 – Advertising & Campaign Analytics Experience: 5–7 years (5+ years relevant) Skills: SQL, Classical Machine Learning Domain Expertise: Advertising & Campaign Analytics Marketing Mix Modeling (MMM) Market Mix Optimization (MMO) 2. L3 – Pricing, Assortment, and Supply Chain Experience: 5–7 years (5+ years relevant) Skills: SQL, Python Domain Expertise: Pricing & Promotion Analytics Assortment Planning Supply Chain Optimization 3. L4 – Classical ML Focus Experience: 5–7 years (5+ years relevant) Skills: SQL, Python Focus Areas: Classical Machine Learning Broad Data Science Applications across domains Key Responsibilities Develop and deploy Classical ML models to solve real-world business problems. Work with large datasets using SQL and Python for data preparation, feature engineering, and analysis. Partner with cross-functional teams to translate business objectives into data science solutions. Communicate insights and results to technical and non-technical stakeholders effectively. Continuously improve models based on performance metrics and business feedback. Preferred Qualifications Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, or a related quantitative field. Proven experience in statistical modeling, regression, classification, and other ML techniques. Domain experience in Marketing, Retail, or Supply Chain is highly desirable. Strong problem-solving skills and business acumen.

Key Responsibilities: Data Analytics & Data Science Build and lead the data analytics and data science function to extract actionable insights across the customer lifecycle from sourcing and underwriting to collections and retention. Drive predictive modelling, credit scoring models, and risk analytics to improve decision-making. Develop robust dashboards and MIS systems for business teams, risk, compliance, and leadership. Ensure data governance, quality, and integrity across systems and touchpoints. Innovation & Strategy Identify and pilot emerging technologies (AI/ML, OCR, geotagging, etc.) relevant to the affordable housing ecosystem. Promote a culture of innovation and experimentation across business and technology teams. Align digital and data innovation with business objectives such as reducing cost of acquisition, faster TAT, better credit decisioning, and deeper financial inclusion. Product IT Own the IT product roadmap across core lending platforms (LOS, LMS), customer apps, and partner integrations (APIs). Work closely with business and operations to translate functional requirements into scalable digital solutions. Ensure product enhancements are aligned with compliance, scalability, and user experience goals. Cybersecurity & Data Compliance Oversee information security protocols and ensure adherence to data privacy laws (e.g., RBI guidelines, DPDP Act). Collaborate with compliance and risk functions to maintain IT audit and regulatory readiness. Preferred Qualities: Passion for financial inclusion and the role of technology in solving grassroots challenges. Ability to build and mentor diverse, cross-functional teams. Entrepreneurial mindset with a structured approach to innovation and change management.

Basics of robotics system Exposure to automation and embedded Programming skills ( python, C/C++..) Good communication and team work Robotics Research and Development STEAM/ AI Trainer 3D printing, designing AI & ML

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Role & responsibilities Data Scientist (2025 Batch) Requirements: Proficient in the Python language. Basic understanding of Machine Learning & Deep Learning. Curiosity for example, exploring tools like Cursor, staying up-to-date with new technologies Knowledge of data structures, algorithms, and an eye for architecture. Understanding of AI, whether at a basic or advanced level

Role & responsibilities Proficient in the Python language. Basic understanding of Machine Learning & Deep Learning. Curiosity for example, exploring tools like Cursor, staying up-to-date with new technologies Knowledge of data structures, algorithms, and an eye for architecture. Understanding of AI, whether at a basic or advanced level Preferred candidate profile Top IITs tier 1 Candidate from IIT Kanpur, IIT Kharagpur, IIT Mumbai, IIT Delhi, IIT Madras/Chennai Specialisation of B.Tech - CSE/IT/ISE/DS/Software Engineering Majorly

You will be involved in the delivery of robust, scalable ML solutions by contributing to the development of detailed problem statements outlining hypotheses and effects on target clients, analysis and summarization of datasets, data selection and transformation, ML model training, and examination of model performance. You will mentor and allocate responsibilities to junior staff data scientists, pursue effective relationships by sharing resources, information, and knowledge, receiving and learn from feedback, and assess and respond to the needs of others to support a business outcome. You will plan and schedule your work to ensure the completion of several interrelated tasks with minimal direction, and exercise judgment and discretion in resolving and developing solutions for moderately complex problems

Job Title: Senior Data Engineer Snowflake, Python, DBT Experience: 8 to 12 Years Only Location: Hyderabad/Gurgaon/Noida Employment Type: Full-Time Notice Period : 0-30 only Job Summary: We are hiring a highly skilled Data Engineer with strong hands-on experience in Snowflake, Python, DBT , and modern data architecture . You will be responsible for designing and maintaining robust data pipelines and scalable warehouse solutions to power analytics and business insights. Key Responsibilities: Design and implement scalable ETL/ELT data pipelines Build and optimize Snowflake data warehouse architecture Develop DBT models for transformation, lineage, and documentation Write Python scripts for data processing and workflow automation Ensure data quality, integrity, and governance Collaborate with analysts, scientists, and business teams Implement CI/CD, version control, and performance tuning Monitor and troubleshoot data pipeline issues Required Skills: Mandatory: Snowflake (incl. Snowpark), Python, DBT, SQL, Data Modeling Good to Have: Airflow/Prefect, AWS/Azure/GCP, Container Services Strong understanding of star/snowflake schema and data warehouse design Experience with large-scale data sets and orchestration tools

Professional Skill:Business Analysis,Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge. Work simplification - methods that maximize output while minimizing expenditure and cost. Required Candidate profile Analytics with Data - interprets data and turns it into information which can offer ways to improve a business. Communication - Good verbal communication and interpersonal skills are essential

Internship Opportunity at RP2 India Private Limited RP2 India Private Limited is pleased to offer internship programs in the fields of Data Analytics, Data Science , and Prompt Engineering . Location: Bengaluru (Available in both Online and Offline modes) Duration: 3 months Certification: Internship Certificate & Experience Certificate will be provided upon successful completion. This is a great opportunity to gain hands-on experience, enhance your skills, and work on real-world projects with industry professionals. Apply now and take the next step in your career!

Responsibilities: * Conduct research in data science and CSE * Publish papers in reputable journals * Teach undergraduate and graduate courses on data science using Python * Collaborate with industry partners on projects

Required Skills: Absolute clarity in OOP fundamentals and Data-Structures Must have hands-on experience in AI ML Production Knowledge of various Python Web Frameworks (Django, Flask, FastAPI, etc.) Excellent written and verbal communication and presentation skills. Roles and responsibilities: Maintain and improve existing projects Collaborate with the technical team to develop new features and troubleshoot issues Lead projects to understand the requirements and distribute work to the technical team Follow the project/task timelines and quality.

As an intern at Expansive Solutions, your day-to-day responsibilities will include handling various office administration tasks such as supervising housekeeping, maintenance, paper filing, attendance, timesheet management, expense vouchers processing, and travel bookings. You will also be responsible for liaising with external vendors and service providers including chartered accountants, company secretaries, contract workers, telephone & broadband service providers, landlords, and graphic designers. Additionally, you will assist your manager with schedule management by making calls, booking appointments, and maintaining compliance calendars. You will also be involved in organizing company events as required and providing support to team members when needed. Expansive Solutions, founded in 2014 and based in Pune, India, is dedicated to delivering business value through data science and analytics solutions. The company offers a wide range of products and services including consulting, business transformation, visualization dashboards, algorithms for pattern detection, predictions, decision support, advanced machine learning, and AI-based process automation.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional and technical capabilities and product knowledge. EY's financial services practice offers integrated Consulting services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY's Consulting Practice, the Data and Analytics team solves big, complex issues and capitalizes on opportunities to deliver better working outcomes that help expand and safeguard businesses, now and in the future. This way, we help create a compelling business case for embedding the right analytical practice at the heart of clients" decision-making. We're looking for a candidate with 10-12 years of expertise in data science, data analysis, and visualization skills. Act as a Technical Lead to a larger team in EY GDS DnA team to work on various Data and Analytics projects. Your key responsibilities include: - Understanding of insurance domain knowledge (PnC or life or both) - Being responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL) - Overseeing and governing the expansion of existing data architecture and the optimization of data query performance via best practices - Working independently and collaboratively - Implementing business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning) - Working with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models - Defining and governing data modeling and design standards, tools, best practices, and related development for enterprise data models - Identifying the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization - Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC - Working proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Skills and attributes for success include: - Strong communication, presentation, and team-building skills - Experience in executing and managing research and analysis of companies and markets - BE/BTech/MCA/MBA with 8 - 12 years of industry experience with machine learning, visualization, data science, and related offerings - At least around 4-8 years of experience in BI and Analytics - Ability to do end-to-end data solutions from analysis, mapping, profiling, ETL architecture, and data modeling - Knowledge and experience of at least 1 Insurance domain engagement life or Property n Causality - Good experience using CA Erwin or other similar modeling tools - Strong knowledge of relational and dimensional data modeling concepts - Experience in data management analysis - Experience with unstructured data is an added advantage - Ability to effectively visualize and communicate analysis results - Experience with big data and cloud preferred - Experience, interest, and adaptability to working in an Agile delivery environment. Ideally, you'll also have: - Good exposure to any ETL tools - Good to have knowledge about P&C insurance - Must have led a team size of at least 4 members - Experience in Insurance and Banking domain - Prior client-facing skills, self-motivated, and collaborative. What we look for: A team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of a market-leading, multi-disciplinary team of 1400+ professionals, in the only integrated global transaction business worldwide Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries. At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from engaging colleagues - Opportunities to develop new skills and progress your career - The freedom and flexibility to handle your role in a way that's right for you. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Data Science Trainer, your primary responsibility will be to deliver advanced training sessions in various topics related to data science. You will cover a wide range of subjects including Python Programming for Data Science, Mathematics & Statistics for AI, AI Ethics, Data Access, Handling and Visualization, Analyzing Data with Python, Visualizing Data with Python, Tableau, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision (CV), Full Stack Development, Generative AI, R Programming, Scala, and Spark. This is a full-time position that requires you to conduct training sessions in person. You will be expected to start on the 23rd of July, 2025.,

About Biz2X Biz2X is the leading digital lending platform, enabling financial providers to power growth with a modern omni-channel experience, best-in-class risk management tools, and a comprehensive yet flexible Servicing engine. The company partners with financial institutions to support their Digital Transformation efforts with Biz2X's digital lending platform. Biz2X solutions not only reduce operational expenses but also accelerate lending growth by significantly improving client experience, reducing total turnaround time, and equipping relationship managers with powerful monitoring insights and alerts. Key Responsibilities: You will be responsible for building credit risk models, driving underwriting and credit decisions, and ensuring optimization across risk, pricing, and business growth. You'll play an important role in shaping our lending products and processes, ensuring they are built on a solid foundation of prudent risk management. - Credit Decisioning: Leverage or build advanced credit risk models (functional rule-based/heuristics and machine learning models) and lead critical credit decisions. - Policy Development: Assist in drafting a detailed risk policy for the business loan business and closely monitor the adherence to the same. - Data Utilization: Work extensively with Credit Bureau, Bank statement, financial data. Identify and evaluate alternate data features to explore credit expansion opportunities. - Team Development: Coach and mentor younger team members to create a world-class credit team both in functional credit analysis and machine learning-based models. - Reporting and Monitoring Systems: Drive robust monitoring and alerting systems for early warning signals of delinquencies in the portfolio, ensuring agility in decision-making. Perform Root cause analysis and present those to stakeholders in a timely fashion. - Underwriting: Responsible for managing the underwriting operations and performing risk assessment for various policies. You Should Apply If You: - Risk professional with 4+ years of experience across a bank/NBFC with experience across retail-individual and retail business (micro-businesses) underwriting/fraud/risk/collection. - Strong hands-on experience and expertise in building Machine Learning-based underwriting statistical models. - Deep domain/functional knowledge in credit underwriting/credit analysis. - Proven experience in underwriting risk management in the fintech or financial services industry, with a focus on credit risk. - Strong knowledge of fintech products, unsecured lending products, services, and technologies, as well as the regulatory landscape governing the industry. - Experience in Product and Credit Policy formulation, Collections and Recovery, Fraud, and Operational Risks. - Exceptional analytical and problem-solving skills, with the ability to assess complex situations and make sound decisions. - Strong leadership capabilities with the ability to build and lead a high-performing risk management team. - Excellent Analytical and Data Science capabilities. Apply on - https://app.intalent.ai/biz2credit/recruitment/candidate/new/366,

At EY, you have the opportunity to build a career tailored to your uniqueness, with global support, an inclusive culture, and advanced technology to help you reach your full potential. Your individual voice and perspective are valued to contribute to making EY even better. Join us to create an exceptional experience for yourself and contribute to building a better working world for all. As a Scrum Master - TD Senior Consultant at Transformation Delivery @ EY, you will embark on a rewarding career focused on mastering complex business, technology, and infrastructure transformations. If you are passionate about collaborating with a team to tackle the most challenging issues in today's market, our dynamic TD team is the perfect place for you. We are seeking a Scrum Master to support our diverse range of clients. Your responsibilities will include guiding and coaching the Scrum Team on utilizing Agile practices to deliver high-quality products and services, fostering high-performing teams, ensuring adherence to Scrum principles, promoting self-organization within the team, collaborating with stakeholders, resolving team impediments, and contributing to the advancement of Agile practices within the organization. You will facilitate all scrum events and support the team in achieving their goals. To qualify for this role, you must have 6-9 years of experience in Agile delivery methodologies, knowledge of industry-standard Agile PM tools, familiarity with Agile frameworks like Scrum, Kanban, or SAFe, excellent communication skills, flexibility to work in US and UK time zones, and experience in the pharmaceutical sector. Specialized experience in areas such as Viva (Veeva CRM), Cybersecurity, Data (Analytics, Data Science, Data Management), or Artificial Intelligence is preferred. Additionally, certifications such as CSM, SAFe Agilist, SAFe Scrum Master, PMI-ACP, PSM, or A-CSM are required. It is beneficial to have experience in Agile Transformation Projects, understanding of waterfall methodologies, JIRA administration, Agile coaching, business analysis, and Agile maturity assessment. Working at EY offers a diverse and inspiring environment where you will work on meaningful projects, receive education, coaching, and practical experience to support your personal development. You will have opportunities for skills development, career progression, and freedom to shape your role. EY is dedicated to building a better working world, fostering trust, and creating long-term value for clients, people, and society through data-driven solutions and global expertise.,

Are you seeking an exciting opportunity to join a dynamic and expanding team in a fast-paced and challenging environment This unique role offers you the chance to be a part of the Data Analyst team, collaborating closely with the Business. As a Senior Process Intelligence and Data Analytics Specialist in our COS Transformation team, you will play a crucial role in leveraging digital technology for transformation analytics. Your expertise in data analytics, process mining, and data science will be essential as you oversee programs from initiation to completion. Your analytical approach will be pivotal in identifying process improvement opportunities and driving continuous enhancement in partnership with the business. You will be responsible for: - Leading Digital Process Discovery projects, overseeing them from start to finish, including business casing, scoping, and delivery. - Applying process mining techniques to analyze process behavior and identify areas for improvement. - Implementing real-time process monitoring using streaming data to optimize process efficiency. - Conducting data-driven root cause analysis to tackle process conformance issues and inefficiencies. - Managing projects through scoping, data collection, processing, modeling, implementation, and evaluation. - Collaborating with the U.S. Process Intelligence team to enable advanced process analytics, ensuring continuous outcomes via a "follow the sun" model. - Engaging with leadership to develop innovative Process Intelligence solutions and collaborating with the business to define use cases and spark new ideas. Required qualifications, capabilities, and skills: - Bachelors, Masters, or PhD in process mining, computer science, statistics, or a related field. - 9+ years of extensive experience in statistical analysis, process mining, and process analysis. - Proficiency in Python and familiarity with relevant libraries (e.g., PM4PY) and frameworks for predictive process mining and monitoring. - Demonstrated ability to offer data analytics for senior management and translate intricate data insights into actionable recommendations. - Experience with data pipelining and data visualization tools, such as Alteryx and Tableau. - Strong collaboration skills with various internal teams, particularly business and technology, to drive results and effectively communicate technical concepts to non-technical stakeholders. - Excellent verbal, written communication, and presentation skills, with the capability to articulate and deliver a compelling narrative.,

You are an experienced professional with 5 to 12 years of experience, looking for a Full-Time opportunity as an Azure Generative AI Engineer. Your primary skills include Data Science, Machine Learning, Python, AI, and Azure. You will be responsible for designing, developing, and deploying Generative AI applications using Python, FastAPI, Azure Durable Functions, and Azure OpenAI Services. You must build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications and work on end-to-end Generative AI projects. Your role involves integrating AI/ML search and data services such as Azure Cognitive Search, Cosmos DB, and other Azure-native tools. Automation of key components of the RAG workflow for ensuring production-grade performance and scalability is crucial. You will be evaluating, validating, and fine-tuning the outputs of Generative AI models for accuracy and relevance, implementing monitoring, observability, and guardrails to ensure responsible and secure use of AI technologies, and collaborating with cross-functional teams to deliver innovative AI solutions. To qualify for this role, you must have strong programming experience in Python, including frameworks like FastAPI and Flask. A deep understanding of Generative AI, LLMs, and RAG methodologies is essential. Proficiency in Azure cloud services, especially Azure OpenAI, Functions, AI Search, and Cosmos DB is required. Hands-on experience with machine learning, deep learning, and natural language processing (NLP) is a must. Familiarity with ML/DL frameworks such as TensorFlow, PyTorch, and libraries like scikit-learn, spaCy, etc., is expected. You should possess solid knowledge of machine learning algorithms, including GPTs, CNNs, RNNs, k-NN, Naive Bayes, SVM, and Decision Forests, along with experience in evaluating and fine-tuning LLM performance and implementing responsible AI practices. Preferred qualifications include certifications in Azure AI Engineer Associate or related fields. Experience working with managed LLMs beyond Azure OpenAI (e.g., OpenAI API, Anthropic, Cohere, etc.) and knowledge of DevOps, CI/CD, and infrastructure automation for AI pipelines are considered advantageous.,

Vimaan is looking to onboard multiple Machine Learning Engineers in Bengaluru, India to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large-scale computer vision and deep learning models to build a product that creates a disproportionate value for the warehouse industry. The role involves hands-on CV/ML software development and deployment from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The ideal candidate for the Machine Learning Engineer position should have an MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning. They should possess hands-on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models, as well as representational learning with varying amounts of data. Knowledge of current deep learning literature and the mathematical foundations of machine learning is essential. Experience with popular object detection frameworks such as YOLO, SSD, or Faster R-CNN is considered a plus. The candidate should have the ability to train and debug deep learning systems, gain deep insights into data characteristics, and map those to appropriate model architectures. Experience working with inputs from multiple cameras and input modes is advantageous, as is experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization, and training and deploying deep learning models on GPU-accelerated platforms. Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch, etc., are required. Prior experience in deploying machine learning models in production environments, working with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with data pre-processing, augmentation, and visualization tools and libraries are necessary. The ideal candidate should be highly motivated, passionate, possess a strong work ethic, and be able to work effectively in a team or independently under supervision in a matrix management environment. Effective communication skills, problem-solving abilities, attention to detail, and a passion for staying at the forefront of technology advancements in machine learning and computer vision are key attributes. They should be able to work in a fast-paced, high-pressure startup environment, adapt to rapidly changing requirements, and convey complex technical concepts to non-technical stakeholders. The Machine Learning Engineer will be responsible for researching, designing, and developing machine learning algorithms and models for various tasks of detection, recognition, and classification for warehouse inventory management. They will implement and optimize deep learning architectures, explore techniques like transfer learning and data augmentation, guide annotation teams, curate and pre-process annotated datasets, collaborate with MLOps for integrating machine learning models into production systems, and conduct thorough performance analysis and evaluation of models using appropriate metrics and tools. It is essential for the Machine Learning Engineer to stay up-to-date with the latest advancements in machine learning and computer vision research and integrate relevant findings into the solutions developed at Vimaan. ABOUT VIMAAN Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists, as well as warehousing domain experts with a successful history in technology startups. Vimaan's primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy, and quality challenges in the supply chain.,

We are currently seeking two Machine Learning (ML) Engineers with a minimum of 4 years of experience in the field. As a Machine Learning Engineer, you will be responsible for creating artificial intelligence products by designing machine learning systems, researching and implementing ML algorithms and tools, and developing machine learning applications based on requirements. To be successful in this role, you must possess exceptional skills in statistics and programming, along with knowledge of data science and software engineering. Your main objective will be to study and transform data science prototypes, select appropriate datasets and data representation methods, run machine learning tests and experiments, and perform statistical analysis and fine-tuning using test results. Additionally, you will be expected to train and retrain systems when necessary, extend existing ML libraries and frameworks, and stay updated on developments in the field. If you meet these qualifications and are interested in shaping and building efficient self-learning applications, we would like to meet you. The positions are based in Mumbai. To apply, please send your resume to careers@onlinemanufacturing.in. ,

The Medical Imaging Technology team of Siemens Healthcare Technology Center in Princeton, NJ is seeking an experienced Chest Radiologist to contribute to the advancement of AI-based solutions in medical imaging. As a Chest Radiologist, you will bring your clinical expertise in thoracic imaging to collaborate with data scientists, AI engineers, and clinical teams in the development, validation, and deployment of AI-driven diagnostic tools. This role offers an exciting opportunity to be at the forefront of integrating clinical radiology with cutting-edge technology and shaping the future of AI in healthcare. Your responsibilities will include developing algorithms for automated detection, diagnosis, and quantification of thoracic diseases such as lung cancer, pneumonia, and interstitial lung disease in medical imaging. You will lead the clinical validation efforts for AI models, evaluate algorithm performance, ensure diagnostic accuracy, and compare AI outputs against radiologist interpretation. Providing expert annotations and guidance on chest imaging datasets to enhance AI model training and maintaining the quality and consistency of labeled datasets will be crucial aspects of your role. Collaborating with AI developers to refine algorithms, offering clinical feedback for improvement, and integrating AI solutions into radiology workflows will also be part of your responsibilities. To qualify for this position, you must hold a Doctor of Medicine (MD) degree with board certification in Diagnostic Radiology and have completed fellowship training in Chest or Thoracic Imaging. A minimum of 5 years of experience in chest imaging, particularly in diagnosing pulmonary and thoracic conditions, is required. Experience in AI development, clinical research, or advanced imaging techniques is highly desirable. Proficiency in AI applications in medical imaging, familiarity with automated segmentation, classification, and detection algorithms, as well as experience with AI platforms, machine learning models, and medical imaging software will be beneficial. Strong communication and collaboration skills are essential for effectively working in a multidisciplinary team environment. Join our team at Siemens Healthcare Technology Center and be a part of revolutionizing healthcare through the integration of clinical expertise and AI technologies in medical imaging.,

As an AI Deployment Architect at Centific, you will play a crucial role in designing and implementing highly secure AI solutions deployment at an enterprise scale. Your responsibilities will include collaborating with stakeholders, staying updated with the latest AI trends, leading AI projects deployment, optimizing AI models for performance and scalability, and ensuring adherence to quality standards. Your key responsibilities will involve developing and implementing secure AI solutions deployment that align with business objectives, creating scalable architectures, integrating AI technologies into existing systems, and working closely with data scientists, engineers, and business leaders to translate requirements into AI solutions. You should possess 8+ years of experience in designing and deploying AI models at an enterprise scale in a highly secure environment. A strong background in Computer Science or other engineering disciplines from top-tier schools is required. Expertise in AI architecture and pipeline planning, software engineering, DevOps principles, data science, and advanced analytics tools is essential for this role. In addition, you should have technical proficiency in programming languages such as Python, R, and Java, along with analytical thinking skills to analyze large datasets and extract meaningful insights. Strong project management skills, excellent communication abilities to convey technical concepts to non-technical stakeholders, and adaptability to new challenges and technologies are also crucial for this position. Your expertise should encompass machine learning frameworks like TensorFlow, PyTorch, Keras, programming languages including Python, R, Java, C++, data management tools such as SQL and NoSQL databases, cloud platforms like AWS, Google Cloud, and Azure, and development tools like Jupyter Notebooks, Git, Docker, and Kubernetes. Join Centific and be part of the team that is transforming the world through safe and scalable AI, empowering businesses to unlock the full potential of their data.,

Amplework Software is a full-stack development agency based in Jaipur (Rajasthan), IND, specializing in end-to-end software development solutions for clients worldwide. We are dedicated to delivering high-quality products that align with business requirements and leverage cutting-edge technologies. Our expertise encompasses custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our innovative team that drives digital transformation through technology. We are looking for a Mid-Level Python and AI Engineer to join our team. In this role, you will assist in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with structured and unstructured data, collaborate with data scientists and software engineers, and continuously learn, experiment, and optimize models to enhance performance and efficiency. Ideal candidates should possess a Bachelor's degree in Computer Science, Engineering, AI, or a related field and proficiency in Python with experience in writing optimized and clean code. Strong problem-solving skills, understanding of machine learning concepts, and experience with data processing libraries are required. Familiarity with AI models and neural networks using frameworks like Scikit-Learn, TensorFlow, or PyTorch is essential. Preferred qualifications include experience with NLP using transformers, BERT, GPT, or OpenAI APIs, AI model deployment, database querying, and participation in AI-related competitions or projects. Soft skills such as analytical thinking, teamwork, eagerness to learn, and excellent English communication skills are highly valued. Candidates who excel in problem-solving, possess a willingness to adapt and experiment, and prefer a dynamic environment for AI exploration are encouraged to apply. A face-to-face interview will be conducted, and applicants should be able to attend the interview at our office location. Join the Amplework Software team to collaborate with passionate individuals, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and thrive in a great working environment.,