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3.0 - 5.0 years
0 Lacs
Mumbai, Maharashtra, India
On-site
About Us: Traya is an Indian direct-to-consumer hair care brand platform provides a holistic treatment for consumers dealing with hairloss. The Company provides personalized consultations that help determine the root cause of hair fall among individuals, along with a range of hair care products that are curated from a combination of Ayurveda, Allopathy, and Nutrition. Traya's secret lies in the power of diagnosis. Our unique platform diagnoses the patient’s hair & health history, to identify the root cause behind hair fall and delivers customized hair kits to them right at their doorstep. We have a strong adherence system in place via medically-trained hair coaches and proprietary tech, where we guide the customer across their hair growth journey, and help them stay on track. Traya is founded by Saloni Anand, a techie-turned-marketeer and Altaf Saiyed, a Stanford Business School alumnus. Our Vision: Traya was created with a global vision to create awareness around hair loss, de-stigmatise it while empathizing with the customers that it has an emotional and psychological impact. Most importantly, to combine 3 different sciences (Ayurveda, Allopathy and Nutrition) to create the perfect holistic solution for hair loss patients. Responsibilities: Data Analysis and Exploration: Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies. Perform exploratory data analysis (EDA) to understand data distributions, relationships, and quality. Machine Learning and Statistical Modeling: Develop and implement machine learning models (e.g., regression, classification, clustering, time series analysis) to solve business problems. Evaluate and optimize model performance using appropriate metrics and techniques. Apply statistical methods to design and analyze experiments and A/B tests. Implement and maintain models in production environments. Data Engineering and Infrastructure: Collaborate with data engineers to ensure data quality and accessibility. Contribute to the development and maintenance of data pipelines and infrastructure. Work with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop). Communication and Collaboration: Effectively communicate technical findings and recommendations to both technical and non-technical audiences. Collaborate with product managers, engineers, and other stakeholders to define and prioritize projects. Document code, models, and processes for reproducibility and knowledge sharing. Present findings to leadership. Research and Development: Stay up-to-date with the latest advancements in data science and machine learning. Explore and evaluate new tools and techniques to improve data science capabilities. Contribute to internal research projects. Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 3-5 years of experience as a Data Scientist or in a similar role. Leverage SageMaker's features, including SageMaker Studio, Autopilot, Experiments, Pipelines, and Inference, to optimize model development and deployment workflows. Proficiency in Python and relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch). Solid understanding of statistical concepts and machine learning algorithms. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience deploying models to production. Experience with version control (Git) Preferred Qualifications: Experience with specific industry domains (e.g., e-commerce, finance, healthcare). Experience with natural language processing (NLP) or computer vision. Experience with building recommendation engines. Experience with time series forecasting. Show more Show less
Posted 1 week ago
7.0 - 9.0 years
0 Lacs
Bengaluru, Karnataka, India
On-site
The Role: We are looking for an enthusiastic Lead Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques. As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay. Responsibilities: Lead the data science team, providing guidance, mentorship, and technical expertise to drive impactful outcomes. Apply advanced data science methodologies, mathematics, and machine learning techniques to solve intricate and strategic business problems. Collaborate closely with cross-functional teams, including engineers, product managers, and business stakeholders, to develop and deploy robust data science solutions. Conduct in-depth analysis of large and complex datasets to extract valuable insights and drive actionable recommendations. Present findings, insights, and strategic recommendations to senior stakeholders in a clear and concise manner. Identify key metrics and develop executive-level dashboards to monitor performance and support data-driven decision-making. Oversee multiple projects concurrently, ensuring high-quality deliverables within defined timelines. Train and mentor junior data scientists, fostering their professional growth and fostering a collaborative and innovative team environment. Continuously improve and optimize data science solutions, evaluating their effectiveness and exploring new methodologies and technologies. Drive the deployment of data-driven solutions into production, ensuring seamless integration and effective communication of results. Mandatory Qualifications: 7-9 years experience in a data science role, with a track record of delivering impactful solutions in a production environment. Advanced degree (Master's or Ph.D.) in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines. Deep knowledge and expertise in advanced machine learning techniques, statistical analysis, and mathematical modeling. Proficiency in programming languages such as Python, R, or Scala, with experience in building scalable and efficient data science workflows. Deep experience with big data processing frameworks (e.g., Hadoop, Spark) and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong leadership skills, with the ability to guide and inspire a team, prioritize tasks, and meet project goals. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders. Proven experience in driving data-driven decision-making processes and influencing strategic initiatives. Deep experience with cloud platforms (e.g., AWS, Azure, GCP) and their data science tools and services. A passion for staying up-to-date with the latest advancements in data science and actively exploring new techniques and technologies. Location: Bangalore Show more Show less
Posted 1 week ago
5.0 years
0 Lacs
Bengaluru, Karnataka, India
On-site
The Role: We are looking for an enthusiastic Senior Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques. As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay. Responsibilities: Apply advanced data science, mathematics, and machine learning techniques to solve complex business problems. Collaborate with cross-functional teams to design and deploy data science solutions. Analyze large volumes of data to derive actionable insights. Present findings and recommendations to stakeholders, effectively communicating complex concepts. Identify key metrics, conduct exploratory data analysis, and create executive-level dashboards. Manage multiple projects in a fast-paced environment, ensuring high-quality deliverables. Train and maintain machine learning models, utilizing deep learning frameworks and big data tools. Continuously improve solutions, evaluating their effectiveness and optimizing performance. Deploy data-driven solutions and effectively communicate results to stakeholders. Mandatory Qualifications: 5+ years experience working with machine learning in a production environment. Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Operations Research, Statistics, Mathematics, Physics). Strong knowledge of fundamental machine learning techniques, such as regression, classification, clustering, and model evaluation metrics. Proficiency in Python and familiarity with languages like C, C++, or Java. Experience with scripting languages like Perl and command-line Unix is a plus. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch) and big data tools like Spark, and 2-3 years experience in building production-quality machine learning code on platforms like Databricks Experience with AWS / GCP / Microsoft Azure for building production quality ML models and systems Ability to conduct end-to-end ML experimentation, including model experimentation, success reporting, A/B testing, and testing metrics. Excellent communication skills and the ability to keep stakeholders informed of progress and potential blockers. Show more Show less
Posted 1 week ago
2.0 years
0 Lacs
Hyderabad, Telangana, India
On-site
Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company? DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We’re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN’s Cloud based architecture unifies a range of technologies to deliver a seamless user experience and support a global user base and company infrastructure. This role will be based in our brand-new Hyderabad office. Join us in India’s beautiful “City of Pearls” and bring your ambition to life. Job Title : Data Scientist Location: Hyderabad : Work from Office. Job Summary: We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs). You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us! Key Responsibilities: • Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (2-8 Years) • Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications. • Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects. Required Skills: • Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch. • Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures. • Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs. • Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib. • Data Handling: Experience working with structured and unstructured data, including text, images, and time-series. Good to have Skills: • Exposure to tools like Hugging Face Transformers for working with LLMs. • Understanding of MLOps practices, including CI/CD pipelines for ML models. • Experience with GPU-accelerated computing. • Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning). • Cloud Platforms: Familiarity with cloud services like AWS Qualifications: • Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. • 1-2+ years of professional experience in Machine Learning and Deep Learning. • Proven track record of deploying ML/DL models in production environments. Show more Show less
Posted 1 week ago
0 years
0 Lacs
India
Remote
Job Title: AI Solution architect Location: Remote Job Responsibilities: Collaboratively design and implement generative AI solutions using agile methodologies to meet customer-specific needs and operational requirements. Leverage frameworks such as NVIDIA NeMo, OpenAI APIs, and Avatar/Digital Person AI, ensuring optimal compatibility, performance, and customization. Design, deploy, and optimize AI workloads across hybrid and multi-cloud environments, ensuring data integrity, cost-efficiency, and performance optimization. Enhance solution architectures with scalability, reliability, and compliance in mind to align with evolving business needs and industry standards. Develop and deploy templates, governance models, and reusable assets to accelerate the development and deployment of AI solutions. Drive automation of managed offerings across hybrid infrastructures to ensure efficiency and operational excellence. Promote security, compliance, and ethical AI practices to align solutions with legal and societal standards. Qualifications: Experience with NVIDIA NeMo, OpenAI, and NLP technologies. Proficient in TensorFlow, PyTorch, or equivalent frameworks. Expertise in containers, Kubernetes, serverless computing, and DevOps practices. Deep understanding of AWS, Azure, and Google Cloud Platform (GCP) for hybrid setups. Strong proficiency in Python and familiarity with related libraries such as Keras and scikit-learn. Hands-on experience in deploying LLMs, CNNs, RNNs, GANs, and reinforcement learning architectures. Knowledge of tokenization, embeddings, and transformer-based models. Exceptional communication skills including the ability to articulate complex solutions to technical and non-technical audiences. BS/MS in Computer Science, Software Engineering, or equivalent. AI/ML Certifications: TensorFlow Developer Certificate, NVIDIA Certified AI Developer, or equivalent. Familiarity with non-NVIDIA AI platforms such as Red Hat, AMD, or Intel AI is a plus. Show more Show less
Posted 1 week ago
4.0 years
0 Lacs
India
Remote
🔍 AI Engineer — phablo.ai (Remote) Location: Remote Type: Full-time Company: Phablo.ai Team: Founding Engineering Team Experience: 1–4 years (exceptional freshers welcome) 🌟 About Us At Phablo.ai , we’re transforming how compliance works for life sciences. No more clunky tools or manual processes — we’re building an AI-powered platform that helps teams stay compliant faster, smarter, and with confidence. Co-Founded by domain and tech experts from Germany & India, headquartered in SIngapore , our mission is global: to reimagine compliance workflows for the world’s most regulated industries. 🚀 Perks & Culture 🧠 Founding Opportunity – Join as part of our early core engineering team and shape the product and tech stack from the ground up. 🌍 Remote-First, Global Team – Collaborate with co-founders and teammates across continents . Our key markets are the EU and US. 💰 Compensation – Competitive startup salary with strong growth upside. As the company grows, so will your salary and other perks. Equity opportunities available for long-term, high-impact contributors at later stages. 📚 Limitless Learning – Work on cutting-edge LLM, RAG, and document AI systems with real-world impact. ⚙️ Culture of Innovation – We move fast, experiment often, and value initiative, autonomy, and team spirit. 🎯 Responsibilities Architect and implement components of our AI compliance engine using techniques like RAG, hybrid search, summarization, and entity extraction. Fine-tune and optimize foundation models (e.g., LLaMA, Mistral, GPT) for tasks such as regulation parsing, document comparison, and compliance Q&A. Build document ingestion, chunking, and embedding pipelines using LangChain , Haystack , or LlamaIndex . Integrate with vector databases (e.g., FAISS, Qdrant, Weaviate, Pinecone) to enable scalable semantic retrieval. Develop and deploy FastAPI/Flask-based APIs for real-time or batch AI inference services. Apply prompt engineering, memory techniques, and few-shot learning to improve response quality, accuracy, and explainability. Work closely with domain experts and product teams to build AI systems aligned with real regulatory workflows . Continuously monitor and evaluate AI model performance across metrics like latency, accuracy, hallucination rate, and compliance risk. 🛠️ Required Skills Strong Python skills and experience with ML frameworks like PyTorch , TensorFlow , or JAX . Deep understanding of LLMs and NLP workflows including: NER, summarization, semantic similarity, RAG, and hybrid search Embedding generation and vector search optimization Familiar with tools like: LangChain , Haystack , LlamaIndex Vector DBs : FAISS, Weaviate, Qdrant, Pinecone FastAPI , Flask , or similar frameworks for serving models Hands-on with MLOps tooling like MLflow, Weights & Biases, HuggingFace Hub, or cloud platforms (AWS, GCP, Vertex AI). Awareness of AI safety , data privacy , and security best practices in regulated industries. Excellent problem-solving, communication, and collaboration skills. Bonus: Experience in life sciences , healthcare , legal tech , or regulatory AI is highly desirable. 🎓 Qualifications 1–4 years of experience engineering AI systems in production settings. OR, if you’re a fresher : A strong academic background in AI/ML/NLP/Data Science from a reputed institution. Demonstrated ability through research publications , open-source contributions , or top performance in AI competitions. 💬 Let’s Build the Future of Compliance If you're excited about building AI systems that solve real-world problems in healthcare, pharma, and life sciences — let’s talk! Apply now or reach out directly to ts@phablo.ai Show more Show less
Posted 1 week ago
5.0 years
0 Lacs
Kochi, Kerala, India
On-site
Job Role Sr Full Stack Developer (Python+ Angular + GCP/AWS/Azure) Experience 5+ years Notice period Immediate Location Trivandrum / Kochi Introduction We are looking for a Sr Fullstack (Python & Angular) Developer who will take ownership of building and maintaining complex backend systems, APIs, and applications using Python and for frontend with Angular Js. Profiles with BFSI- Payment system integrations experience is desired. Responsibilities include: • Design, develop, and maintain backend applications, APIs, and services using Python. • Write clean, maintainable, and scalable code following industry standards and best practices. • Optimize application performance and ensure high availability and scalability. • Review code and mentor junior developers to ensure code quality and foster knowledge sharing. • Implement unit and integration tests to ensure application robustness. • Set up and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI. • Collaborate with DevOps to deploy applications on cloud platforms, preferably Google Cloud Platform (GCP). • Design and build cloud-native applications using APIs, containers, and Kubernetes. • Leverage GCP services to develop scalable and efficient solutions. • Ensure application security, manage access controls, and comply with data privacy regulations. • Work closely with frontend developers, DevOps engineers, and product managers for seamless project delivery. • Design, manage, and optimize relational and NoSQL databases (PostgreSQL, MySQL, MongoDB). • Monitor application performance using tools like Prometheus, Grafana, or Datadog. • Build dynamic, responsive UIs using Angular and JavaScript. • Develop and maintain reusable Angular components in collaboration with UX/UI teams. Primary Skills : • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. • 5-7 years of experience as a Python developer, with a focus on Product development (BE+FE development). Hands on experience in Angular Js. • Proven experience in designing and deploying scalable applications and microservices. App Integration experience is prefferd. • Python- FastAPI (Flask/Django) • API Development (RESTful Services) • Cloud Platforms – Google Cloud Platform (GCP)prefferd. • Familiarity with database management systems– PostgreSQL, MySQL, MongoDB and ORMs (e.g., SQLAlchemy, Django ORM). • Knowledge of CI/CD pipelines – Jenkins, GitLab CI, CircleCI • Frontend Development – JavaScript, Angular • Code Versioning – Git • Testing – Unit & Integration Testing • Strong understanding of security principles, authentication (OAuth2, JWT), and data protection. Secondary Skills: • Monitoring Tools – Prometheus, Grafana, Datadog • Security and Compliance Standards – GDPR, PCI, Soc2 • DevOps Collaboration • UX/UI Collaboration for Angular components • Experience with asynchronous programming (e.g., asyncio, Aiohttp). • Experience with big data technologies like Spark or Hadoop. • Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plus. Show more Show less
Posted 1 week ago
4.0 years
0 Lacs
Pune, Maharashtra, India
On-site
Prompt Engineer Onit - Pune, Maharashtra, India - Full Time The Prompt Engineer will be responsible for creating and developing AI solutions that enhance operational efficiencies. This role combines hands-on programming with prompt engineering. It requires a deep understanding of natural language processing (NLP) and the ability to work closely with various business units to build and integrate AI components, ensuring effective interactions between AI models and business needs. This role requires proficiency in programming languages, such as Python, and provides opportunities to expand expertise across AI frameworks and deployment architectures. Key Responsibilities: Develop and refine prompts for AI systems to generate desired outputs. Build and integrate internal solutions that interact with LLMs. Work with business units to understand their needs and translate them into effective AI prompts. Collaborate with business units to interpret needs and integrate prompts into actionable AI solutions. Develop and test AI applications, and validate prompts, in line with ethical, data privacy and security standards. Provide training and support to business users on how to use AI solutions. adjusting Apply data insights and monitor performance to enhance solutions. Ensure prompts comply with data privacy and security standards. Required Skills and Qualifications: 4+ years of proven experience in experience in developing and deploying business solutions and working with AI technology. Strong programming skills in languages such as Python, Node.JS, JavaScript, React. Excellent communication skills and the ability to translate business requirements into technical specifications. Analytical mindset with strong problem-solving abilities. Familiarity with AI and machine learning frameworks and tools (e.g., TensorFlow, PyTorch). Understanding of data privacy and security considerations in AI applications. Nice to have: Knowledge of business process automation and optimization. Certification in AI or related technologies. Familiarity with Microsoft Copilot Studio, Power Apps, and Power BI. Experience with large language models (LLMs) and their application in business settings. Qualification: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. About Onit Onit is a global leader of enterprise workflow solutions for legal, compliance, sales, IT, HR and finance departments. Our solutions transform best practices into smarter workflows, better processes and operational efficiencies. With a focus on enterprise legal management, matter management, spend management, contract management and legal holds, we operate globally and help transform the way Fortune 500 companies and billion-dollar legal departments bridge the gap between systems of record and systems of engagement. We help customers find gains in efficiency, reduce costs and automate transactions faster. Show more Show less
Posted 1 week ago
0.0 - 1.0 years
0 Lacs
Bengaluru, Karnataka
Remote
Job Title: AI/ML Developer – (Intern) Company: VASPP Technologies Pvt. Ltd. Location: Bengaluru, Karnataka, India Job Type: Full-Time Experience: Fresher (0–1 year) Department: Technology / Development About VASPP Technologies: VASPP Technologies Pvt. Ltd. is a fast-growing software company focused on delivering cutting-edge digital transformation solutions for global enterprises. Our innovative projects span across AI/ML, data analytics, enterprise solutions, and cloud computing. We foster a collaborative and dynamic environment that encourages learning and growth. Job Summary: We are seeking a motivated and enthusiastic AI/ML Developer – Fresher to join our growing technology team. The ideal candidate will have a foundational understanding of machine learning algorithms, data analysis, and model deployment. You will work closely with senior developers to contribute to real-world AI/ML projects and software applications. Responsibilities: ·Assist in the design, development, training, and deployment of AI and machine learning models. Collaborate with cross-functional teams including software engineers, data scientists, and product managers to build intelligent applications. Perform data collection, cleaning, transformation, and exploratory data analysis (EDA). Test various ML algorithms (e.g., classification, regression, clustering) and optimize them for performance. Implement model evaluation metrics and fine-tune hyperparameters. Contribute to integrating ML models into software applications using REST APIs or embedded services. Stay updated with the latest AI/ML frameworks, research papers, and industry trends. Document all work including model development, experiments, and deployment steps in a structured format. Required Skills: Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Solid understanding of machine learning principles: supervised/unsupervised learning, overfitting, cross-validation, etc. Familiarity with data visualization tools: Matplotlib, Seaborn, Plotly. Basic knowledge of SQL and working with relational databases. Good understanding of software development basics, version control (Git), and collaborative tools. Strong problem-solving mindset, eagerness to learn, and ability to work in a team environment. Educational Qualification: Bachelor’s degree in Computer Science , Information Technology , Data Science , Artificial Intelligence , or related fields from a recognized institution. Preferred Qualifications (Optional): Internship or academic projects related to AI/ML. Participation in online competitions (e.g., Kaggle, DrivenData) or open-source contributions. Exposure to cloud platforms like AWS, Google Cloud (GCP), or Microsoft Azure. Familiarity with model deployment techniques using Flask/FastAPI, Docker, or Streamlit. Compensation: CTC/ Stipend: 5000 or 8000 rs per month How to Apply: Send your updated resume and portfolio to: Email: piyush.vs@vaspp.com or aparna.bs@vaspp.com Job Type: Internship Contract length: 2 months Pay: ₹5,000.00 - ₹8,000.00 per month Benefits: Paid sick time Work from home Schedule: Monday to Friday Morning shift Application Question(s): This is an 2 month Internship and the stipend will be based on performance and interview process so, is it okay for you ? Education: Bachelor's (Preferred) Experience: AI: 1 year (Preferred) Language: English (Preferred) Location: Bangalore, Karnataka (Required) Work Location: In person Application Deadline: 14/06/2025
Posted 1 week ago
0.0 - 5.0 years
0 Lacs
Chennai, Tamil Nadu
On-site
Job Title: Specialty Development Practitioner Job Description: We are seeking an experienced and highly analytical Senior Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Skills Required: Statistics, Machine Learning, Data Science, Problem Solving, Analytical, Communications Skills Preferred: GCP, Google Cloud Platform, Mechanical Engineering, Cost Analysis Experience Required: 5+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information : Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Education: Bachelor's (Required) Experience: Data science: 5 years (Required) Location: Chennai, Tamil Nadu (Required) Work Location: In person
Posted 1 week ago
0.0 - 6.0 years
0 Lacs
Bengaluru, Karnataka
On-site
Role: Senior Analyst - Data Engineering Experience: 3 to 6 years Location: Bengaluru, Karnataka , India (BLR) Job Descrition: We are seeking a highly experienced and skilled Senior Data Engineer to join our dynamic team. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Job Resonsbilities: Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning Models: Supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI Techniques: Natural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, etc. Databases: Snowflake, Teradata, SQL, NoSQL databases. Programming Languages: Python (essential), R, SQL. Python Libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data Processing: ETL processes, data warehousing, data lakes. Cloud Platforms: AWS, Azure, Google Cloud Platform. Big Data Technologies: Apache Spark, Hadoop. Job Snapshot Updated Date 11-06-2025 Job ID J_3679 Location Bengaluru, Karnataka, India Experience 3 - 6 Years Employee Type Permanent
Posted 1 week ago
0.0 - 10.0 years
0 Lacs
Pune, Maharashtra
On-site
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Mumbai, Maharashtra, India; Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience in GCP. Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc. Experience architecting, developing software, or Big Data solutions in virtualized environments. Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop. Ability to implement secure key storage using Key Management System. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP. Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Posted 1 week ago
0.0 - 10.0 years
0 Lacs
Mumbai, Maharashtra
On-site
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Mumbai, Maharashtra, India; Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience in GCP. Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc. Experience architecting, developing software, or Big Data solutions in virtualized environments. Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop. Ability to implement secure key storage using Key Management System. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP. Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Posted 1 week ago
0.0 years
0 Lacs
Gurugram, Haryana
On-site
Lead Agentic AI Developer Gurgaon, India; Hyderabad, India; Bangalore, India Information Technology 316524 Job Description About The Role: Grade Level (for internal use): 12 Lead Agentic AI Developer Location: Gurgaon, Hyderabad and Bangalore Job Description: A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development : Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship : Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement : Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance : Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research : Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership : Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation : Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership : Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What We’re Looking For : REQUIRED SKILLS/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools : LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership : Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI : Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication : Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps tools: Kubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316524 Posted On: 2025-06-11 Location: Gurgaon, Haryana, India
Posted 1 week ago
0.0 years
0 Lacs
Gurugram, Haryana
On-site
About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer Location: Gurgaon, Hyderabad and Bangalore Job Description: A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development : Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship : Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement : Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance : Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research : Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership : Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation : Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership : Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What We’re Looking For : REQUIRED SKILLS/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools : LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership : Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI : Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication : Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps tools: Kubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316524 Posted On: 2025-06-11 Location: Gurgaon, Haryana, India
Posted 1 week ago
0.0 - 4.0 years
0 Lacs
Gurugram, Haryana
On-site
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurgaon, Haryana, India; Pune, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience. 4 years of experience in developing and troubleshooting data processing algorithms. Experience coding with one or more programming languages (e.g., Java, Python) and Bigdata technologies such as Scala, Spark and hadoop frameworks. Experience with one public cloud provider, such as GCP. Preferred qualifications: Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments. Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with data warehouses, technical architectures, infrastructure components, Extract Transform and Load/Extract, Load and Transform and reporting/analytic tools, environments, and data structures. Experience in building multi-tier applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience with Infrastructure as Code and Continuous Integration/Continuous Deployment tools like Terraform, Ansible, Jenkins. Understanding one database type, with the ability to write complex SQL queries. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Strategic Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work with Product Management and Product Engineering teams to build and constantly drive excellence in our products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernisation to Google Cloud Platform (GCP). Design, Migrate/Build and Operationalise data storage and processing infrastructure using Cloud native products. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Posted 1 week ago
0.0 - 10.0 years
0 Lacs
Hyderabad, Telangana
On-site
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Mumbai, Maharashtra, India; Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience in GCP. Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc. Experience architecting, developing software, or Big Data solutions in virtualized environments. Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop. Ability to implement secure key storage using Key Management System. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP. Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Posted 1 week ago
2.0 years
0 Lacs
Hyderabad, Telangana
Remote
Applied Sciences Manager Hyderabad, Telangana, India Date posted Jun 11, 2025 Job number 1829133 Work site Up to 50% work from home Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Applied Research team leads the way in pioneering AI and machine learning innovations, specializing in GenAI, Autonomous Agents, deep learning, NLP, large language models (LLMs/GPT), graph models, etc. Our research is dedicated to pushing the boundaries of technology, anticipating future needs, and seamlessly integrating AI innovations into our product suite. We aim to deliver groundbreaking solutions that not only address current demands but also establish the groundwork for transformative advancements in data and applied sciences. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Deep expertise of 10+ years in machine learning algorithms, model development, and deployment. Proven experience of 2+ years leading and mentoring a team of data scientists and machine learning engineers. Master's or Ph.D. in Computer Science, Machine Learning, or a related field. Proficiency in programming languages such as Python/Jupyter, TensorFlow, or PyTorch. - Experience with deploying machine learning models in production environments. Strong understanding of software engineering principles and best practices. Excellent problem-solving and analytical skills. Effective communication and collaboration skills. Additional experience in any of the areas like cyber security, fraud detection, regulations, business processes in enterprises, legal discovery, etc., would be beneficial, but not mandatory. Responsibilities We are seeking an Applied Research Manager Responsibilities include: Team Leadership: Lead and mentor a team of applied researchers, fostering a collaborative and innovative work environment. Provide technical guidance and support to team members, helping them grow in their careers and achieve their goals. Drive the team's strategic vision and align it with the overall company objectives. Research and Development: Conduct cutting-edge research in Gen AI, autonomous agents, LLMs, data science, machine learning, and applied statistics to solve complex business problems. Collaborate with cross-functional teams to identify opportunities for applying advanced analytics and machine learning techniques. Stay abreast of the latest developments in the field and ensure the team remains at the forefront of technology. Project Management: Oversee the end-to-end lifecycle of data science projects, from problem definition to model deployment. Ensure projects are delivered on time and within scope, meeting both technical and business requirements. Collaborate with stakeholders to define project goals, success criteria, and deliverables. Technical Expertise: Provide technical leadership and contribute hands-on expertise in areas such as machine learning, statistical modeling, and data analysis. Review and guide the development of algorithms, models, and methodologies to solve complex problems. Collaboration and Communication: - Collaborate with cross-functional teams, including engineering, product management, and business stakeholders, to drive data science initiatives. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Posted 1 week ago
0.0 - 10.0 years
0 Lacs
Bengaluru, Karnataka
On-site
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Mumbai, Maharashtra, India; Hyderabad, Telangana, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience in GCP. Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc. Experience architecting, developing software, or Big Data solutions in virtualized environments. Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop. Ability to implement secure key storage using Key Management System. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP. Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Posted 1 week ago
0.0 - 4.0 years
0 Lacs
Bengaluru, Karnataka
On-site
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurgaon, Haryana, India; Pune, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience. 4 years of experience in developing and troubleshooting data processing algorithms. Experience coding with one or more programming languages (e.g., Java, Python) and Bigdata technologies such as Scala, Spark and hadoop frameworks. Experience with one public cloud provider, such as GCP. Preferred qualifications: Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments. Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with data warehouses, technical architectures, infrastructure components, Extract Transform and Load/Extract, Load and Transform and reporting/analytic tools, environments, and data structures. Experience in building multi-tier applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience with Infrastructure as Code and Continuous Integration/Continuous Deployment tools like Terraform, Ansible, Jenkins. Understanding one database type, with the ability to write complex SQL queries. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Strategic Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work with Product Management and Product Engineering teams to build and constantly drive excellence in our products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernisation to Google Cloud Platform (GCP). Design, Migrate/Build and Operationalise data storage and processing infrastructure using Cloud native products. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Posted 1 week ago
0.0 - 7.0 years
0 Lacs
Bengaluru, Karnataka
On-site
Bangalore,Karnataka,India Job ID 766481 Join our Team About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson’s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring Required Experience - min 7 years 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?
Posted 1 week ago
5.0 years
0 Lacs
Bengaluru, Karnataka
On-site
At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Job Description At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us. The Boeing Company is looking for an Experienced Data Scientist who can play lead role in developing and building next generation AI & ML products and services. As part of the core data science group, candidate will lead project teams in developing innovative, reusable, and scalable solutions. This position will work effectively with cross-functional teams and technical leads to determine, define, and deploy analytics solutions to meet business goals. At Boeing, we are already making a difference across the industry using AI and Machine Learning to deliver superior product experience to our internal functions and commercial and government customers. We are expanding and growing in all areas in the frontier of the aerospace industry. We already have some of the best minds and talent in this field, and we’re looking for someone with applied experience in AI and ML (including Natural Language Processing, Deep Learning, Conversational A.I, and Computer Vision) to join our team in this lead data scientist role. This role is based out of Bengaluru, Karnataka , INDIA. Position Responsibilities: Evaluate business objectives, determine stakeholder needs, and identify requirements. Choose best fit methods, define algorithms, validate, and deploy models to achieve business results. Perform necessary data preparation and enhancements to models. Responsible for development & delivery of core data science and analytics solutions. Candidate should have strong expertise in statistics, AI and ML theories/concepts, and good domain expertise (either in Aircraft Operations, Engineering, supply chain, sales or Manufacturing), completely understands and applies job practices, techniques, standards, principles, theories, and concepts. Strong programming skills in Python/Java. Should have worked minimum of 5+ years in image processing and computer vision or related domain. Candidate will interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting Aircraft operations, Engineering, Manufacturing, Quality, and Safety. Candidate will work with data scientist leads across domains to ensure functional excellence in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base. In particular, candidate will provide thought leadership for machine learning and advanced analytics methods at Boeing and externally. Candidate will actively engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value. Candidate will evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics organization. Candidate will have a stake in ensuring analytics solutions meet the business requirements and are implemented in a timely manner to validate business value. ML/AI Models Development: Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation. Identify modeling attributes and parameters. Follow best practices and standard processes for model validation and refinement as per business requirements. Assess performance of models and analysis and confirm that business objectives were met. Work with business unit stakeholders to develop and sustain analytics solutions. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): 5+ years of relevant work experience as Data Scientist in core areas of computer vision, NLP, GenAI. Experience in various machine learning method such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, SVM, deep learning, reinforcement learning, etc. Experience with machine learning related open source libraries including, but not limited to: SciKit-Learn, Keras, TensorFlow, Theano, etc. Preferred Qualifications (Desired Skills/Experience): Experience in agile and product-oriented development. Up-to-date industry and experience in building ML models and bring in to full production use. Background in developing customer-facing experiences, a strong technical ability, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced production environment Experience training machine learning models in a cloud computing environment such as: Amazon Web Services, Google Cloud Platform, Microsoft Azure, etc. Programming experience in one or more of the following: C, C++, Java, Python, Scala. Experience with statistical software (e.g., R, MATLAB) and database languages (e.g., SQL). Experience and knowledge in DevOps for Data Science. Strong team player and passion to execute projects with a focus on customer and value. Knowledge of advance statistics (probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods, etc.) Typical Education & Experience: Typically, 8 or more years’ related work experience or relevant military experience. Advanced degree (e.g. Bachelor, Master, etc.) preferred, but not required. Relocation: This position does offer relocation within INDIA. Applications for this position will be accepted until Jun. 25, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
Posted 1 week ago
0 years
0 Lacs
Jammu, Jammu & Kashmir, India
On-site
Job Title: Machine Learning Engineer Location: Cambridge, UK (Hybrid working – minimum 3 days on-site) Job Type: Permanent Salary: Competitive + Benefits Overview A high-performance computing company based in Cambridge is seeking a Machine Learning Engineer to join their expanding ML team. You will play a key role in developing and deploying machine learning models for applications such as speech recognition and large language models, with a strong focus on performance and efficiency. This role offers a unique opportunity to work at the intersection of machine learning research and systems optimisation, with a particular emphasis on scalable model training and low-latency inference deployment. Essential Skills And Experience Strong experience in training machine learning models for real-world applications. MSc or PhD in a technical discipline (e.g. Computer Science, Engineering, Maths) with solid grounding in deep learning. Proficiency in PyTorch or TensorFlow. Experience working with large datasets (multi-TB scale). Familiarity with model compression techniques such as reduced-precision computation. Practical experience with Linux development environments, Git, and CI tools. Excellent communication and documentation skills. Company And Culture You’ll be joining a small, collaborative team of engineers and researchers focused on creating cutting-edge ML solutions with an emphasis on performance and energy efficiency. The company fosters a friendly, inclusive environment where team members contribute directly to technical and strategic outcomes. Located in central Cambridge, the team works in a hybrid pattern with a minimum of three days per week on-site. Flexible arrangements can be considered for those with specific requirements. The company is an equal opportunities employer, committed to building a diverse and inclusive workforce. If you’re an AI/ML Engineer and looking for an exciting new opportunity, please do apply to learn more! If you’d like to find out more about this or other AI/ML and Computer Vision opportunities, please contact Oscar Harper at IC Resources. Show more Show less
Posted 1 week ago
0.0 - 1.0 years
0 Lacs
Coimbatore, Tamil Nadu
On-site
Job Title: Tech Trainer – AI/ML/Data Science/Robotics Location: Coimbatore (Onsite) Job Type: Full-time Apply: Send your resume to jobs@prognova.co About the Role One of our clients is seeking a dedicated and technically sound Tech Trainer to deliver impactful training in Machine Learning (ML), Artificial Intelligence (AI), Data Science, and Robotics. This role is ideal for freshers with strong subject knowledge or experienced trainers passionate about teaching and shaping future professionals. Key Responsibilities Deliver hands-on training sessions in ML, AI, Data Science, Python, and Robotics Design, update, and maintain engaging course materials and practical assignments Guide learners through real-world case studies and capstone projects Track learner performance and provide individual feedback Conduct workshops, bootcamps, and seminar sessions as needed Stay updated with the latest tools, technologies, and teaching methodologies Requirements Strong subject knowledge in ML, AI, Data Science, Python, or Robotics Excellent verbal and written communication skills Familiarity with tools and frameworks like Jupyter, TensorFlow, Scikit-learn, or Arduino Teaching or training experience is a plus (not mandatory for freshers with strong technical skills) Passion for knowledge sharing and learner success Bachelor’s or Master’s degree in Engineering, Science, or a relevant field Preferred Qualifications Certifications in AI, ML, Python, or Data Science Experience in academic or corporate training environments Exposure to e-learning tools and platforms What We Offer Competitive salary package Opportunity to train on cutting-edge technologies Supportive environment for continuous learning and growth Opportunity to contribute to impactful learning journeys and career development If you are passionate about teaching and have a strong technical foundation, we encourage you to apply. Send your resume to jobs@prognova.co . Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Ability to commute/relocate: Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: Training & development: 1 year (Required) Work Location: In person
Posted 1 week ago
0.0 years
0 Lacs
Mohali, Punjab
On-site
Job Title: Backend Developer Internship In Mohali Location: Mohali Duration : 6 Months Stipend Details: Rs.10,000-15,000/month Job Summary: We are looking for a passionate and enthusiastic Intern to join our IT software solutions team. This internship provides an excellent opportunity to gain hands-on experience in full-stack development, working on cutting-edge technologies, including AI-driven applications. The ideal candidate should have a strong interest in both front-end and back-end development and be eager to learn and grow in a dynamic work environment. Responsibilities: Assist in the design, development, and maintenance of web applications and software solutions. Work with senior developers to implement front-end and back-end features using modern frameworks and technologies. Write clean and efficient code under the guidance of experienced developers. Participate in debugging, troubleshooting, and improving application performance. Collaborate with cross-functional teams to understand project requirements and deliver quality solutions. Learn and work on AI and machine learning integration as an additional skill. Stay updated with the latest trends and advancements in software development. Requirements: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, IT, or a related field. School Education Board should be CBSE/ICSE Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, React.js, Angular, or Vue.js. Understanding of back-end development with Node.js, Python, Java, or PHP. Familiarity with databases like MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus. Basic understanding of version control systems (Git, GitHub, GitLab). Interest in AI/ML technologies (TensorFlow, PyTorch, OpenAI, or related frameworks) is a plus. Strong problem-solving skills and eagerness to learn new technologies. Good communication and teamwork skills. Job Types: Full-time, Permanent, Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you willing to relocate to Mohali ? What is your School Education Board ? Work Location: In person
Posted 1 week ago
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TensorFlow, an open-source machine learning framework developed by Google, has gained immense popularity in India's job market. With the increasing demand for data-driven decision-making and artificial intelligence applications, there is a growing need for professionals skilled in TensorFlow across various industries in India.
These cities have a high concentration of tech companies and startups actively seeking professionals with TensorFlow expertise.
The salary range for TensorFlow professionals in India varies based on experience and job role. Entry-level positions can expect a salary range of INR 4-6 lakhs per annum, while experienced professionals in senior roles can earn upwards of INR 15 lakhs per annum.
In the field of TensorFlow, a typical career path may involve starting as a Junior Developer, progressing to a Senior Developer, and eventually becoming a Tech Lead or Machine Learning Engineer. Continuous learning and upskilling are crucial to advancing in this field.
In addition to TensorFlow expertise, professionals in this field are often expected to have knowledge of Python programming, machine learning algorithms, data visualization, and deep learning concepts.
As you prepare for TensorFlow job opportunities in India, remember to showcase your expertise, practical experience, and problem-solving skills during interviews. Stay updated with the latest trends and advancements in machine learning to stand out in this competitive job market. Best of luck in your job search!
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