4556 Numpy Jobs - Page 23

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. Job Title: Senior Data Scientist/Team Lead Job Summary: We are seeking a Senior Data Scientist with hand-on experience in leveraging data, machine learning, statistics and AI technologies to generate insights and inform decision-making. You will work on large-scale data ecosystems and lead a team to implement data-driven solutions. Key Responsibilities: Lead and deliver large-scale DS/ML end to end projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements, use cases and project requirements Lead a team of Data Engineers, ML/AI Engineers, DevOps, and other Data & AI professionals to deliver projects from inception to implementation Utilize maths/stats, AI, and cognitive techniques to analyze and process data, predict scenarios, and prescribe actions. Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 6-10 years of relevant hands-on experience in Data Science, Machine Learning, Statistical Modeling Bachelor’s or Master’s degree in a quantitative field Led a 3-5 member team on multiple end to end DS/ML projects Excellent communication and client/stakeholder management skills Must have strong hands-on experience with programming languages like Python, PySpark and SQL, and frameworks such as Numpy, Pandas, Scikit-learn, etc. Expertise in Classification, Regression, Time series, Decision Trees, Optimization, etc. Hands on knowledge of Docker containerization, GIT, Tableau or PowerBI Model deployment on Cloud or On-prem will be an added advantage Familiar with Databricks, Snowflake, or Hyperscalers (AWS/Azure/GCP/NVIDIA) Should follow research papers, comprehend and innovate/present the best approaches/solutions related to DS/ML AI/Cloud certification from a premier institute is preferred. #GenAI&ML Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300022

Company Overview: Techmindz is a premier IT training institute located in Infopark, Kochi, backed by NDimensionz and recognized for industry‑aligned, hands‑on training programs with strong placement support. Key Responsibilities Conduct structured and interactive training sessions on core AI concepts including Machine Learning, Deep Learning, and Data Science tools. Develop and maintain engaging course content—slide decks, coding notebooks, real-world datasets, projects, and assessments. Guide students through hands-on labs, algorithm implementation, and use-case-based projects. Evaluate student progress via quizzes, assignments, capstone projects, and provide personalized feedback. Stay updated with the latest trends in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Collaborate with the curriculum team to refine learning paths and keep content industry-relevant. Contribute to faculty discussions to ensure quality training delivery and continuous improvement. Requirements Bachelor’s degree in Computer Science, Data Science, or a related field. 1–2 years of experience in AI/ML development or teaching/training in related domains. Strong grasp of supervised/unsupervised learning, neural networks, model evaluation, and data preprocessing. Hands-on experience with Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch). Familiarity with Jupyter Notebooks, version control (Git), and data visualization tools. Excellent communication and presentation skills with the ability to explain complex topics clearly. Prior teaching/training or mentorship experience is an added advantage. Exposure to real-world datasets, cloud AI tools (Google Colab, AWS SageMaker), or certifications is a bonus. How to Apply Send your resume (highlighting AI/ML projects, teaching exposure, and certifications if any) to: careers@techmindz.com Job Types: Full-time, Freelance Pay: ₹200,000.00 - ₹500,000.00 per year Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Teaching: 1 year (Preferred) Language: English (Preferred) Work Location: In person

We are seeking a passionate and knowledgeable Python Programming Faculty to join our academic team. The ideal candidate will have a strong background in Python and software development, along with a flair for teaching and mentoring students. The role involves delivering high-quality instruction, preparing lesson plans, and supporting students in gaining practical coding skills. Key Responsibilities: Deliver engaging Python programming classes to students (online/offline). Prepare course materials, tutorials, assignments, and assessments. Teach basic to advanced Python concepts including: Variables, Loops, Functions, and Data Structures File Handling, Exception Handling Object-Oriented Programming Modules & Libraries (NumPy, Pandas, etc.) Basic Web Development or GUI using Tkinter (optional) Provide mentorship, support, and feedback to students. Stay updated with the latest Python trends and tools. Assist in curriculum development and improvement. Job Type: Full-time Pay: ₹8,086.00 - ₹12,000.00 per month Work Location: In person

Job Title: Python Backend Engineer – AWS | GenAI & ML Experience: 5 Years Employment Type: Full-Time Job Summary: We are seeking an experienced Python Backend Engineer with strong AWS expertise and a background in AI/ML to build and scale intelligent backend systems and GenAI-driven applications. The ideal candidate should have hands-on experience building REST APIs using Django or FastAPI and implementing AI/LLM applications using Langchain. Experience with LangGraph is a strong plus. Key Responsibilities: Design, develop, and maintain Python-based backend systems and AI-powered services. Build and manage RESTful APIs using Django or FastAPI for AI/ML model integration. Develop and deploy machine learning and GenAI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Implement GenAI pipelines using Langchain; LangGraph experience is a plus. Utilize AWS services including EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment. Collaborate with data scientists, DevOps, and architects to integrate models and workflows into production. Build and manage CI/CD pipelines for backend and model deployments. Ensure performance, scalability, and security of applications in cloud environments. Monitor production systems, troubleshoot issues, and optimize model and API performance. Required Skills and Experience: 5 years of hands-on experience in Python backend development. Strong experience building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services: EC2, S3, Lambda, SageMaker, CloudFormation, etc. Solid understanding of ML/AI concepts and model deployment practices. Experience with ML libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Langchain for building GenAI applications. Familiarity with DevOps tools: Docker, Kubernetes, Git, Jenkins, Terraform. Good understanding of microservices architecture and CI/CD workflows. Agile development experience. Nice to Have: Experience with LangGraph for agentic workflows or graph-based orchestration. Knowledge of LLMs, embeddings, and vector databases (e.g., Pinecone, FAISS). Exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Understanding of MLOps tools and practices for model monitoring, versioning, and retraining. Job Types: Full-time, Permanent Pay: ₹1,100,000.00 - ₹1,500,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Work Location: In person Speak with the employer +91 9966550640

Job description About this role Role Summary: We’re seeking a dynamic System Engineer to design and deliver intelligent, scalable, and reliable data systems. This hybrid role combines data engineering, AI/ML integration, system reliability, and DevOps to accelerate data collection, enable intelligent workflows, and drive business impact. You’ll collaborate across engineering, data analytics, and business teams to build reusable frameworks, reduce time-to-value, and uphold engineering excellence. Key Responsibilities: Data & AI Workflow Engineering Accelerate data collection at scale from millions of sources using robust, scalable pipelines. Design, build, and deploy workflows that combine AI/ML models with human-in-the-loop systems. Operate as a full-stack data engineer, taking projects from problem formulation to production. Develop APIs and services to expose data and model outputs for downstream consumption. ️ System Engineering, Reliability & DevOps Build and maintain CI/CD pipelines for data and ML services using Azure DevOps or GitHub Actions. Implement observability (metrics, logs, traces) and reliability features (retries, circuit breakers, graceful degradation). Optimize data workflows and infrastructure for performance, scalability, and fault tolerance. Platform & Framework Development Elevate development standards through reusable services, frameworks, templates, and documentation. Champion best practices in code quality, security, and automation across the engineering lifecycle. Collaborate with engineering teams across the business to improve time-to-value and share internal solutions. Collaboration & Business Impact Collaborate with engineering teams across the business to improve time-to-value and share internal solutions. Present results and recommendations clearly to technical and non-technical audiences using compelling storytelling and visualizations. Required Skills and Qualifications: 2-4 years of experience in data engineering, machine learning, or system/platform engineering. Strong programming skills in Python/DotNet or Java; proficiency in SQL, DBT, and data orchestration tools (e.g., Airflow). Experience with containerization (Docker) and Kubernetes on Azure and/or AWS. Proficiency in CI/CD, Git, and cloud-native development. Familiarity with observability tools (Azure Monitor, Prometheus, Grafana) and data validation frameworks (e.g., Great Expectations). Familiarity with data science libraries (Pandas, NumPy, scikit-learn) and deploying ML models to production. Strong understanding of distributed systems, microservices, and API design. Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Job Requisition # R255609

AI Analytics Intern Company Overview: Branding Pioneers, located at 750 Udyog Vihar, Phase 5, Gurgaon, is a renowned digital marketing agency specializing in tailored online marketing solutions, with a significant emphasis on the healthcare sector. Location: Gurgaon, Haryana Duration: 3-6 months About Branding Pioneers: Branding Pioneers is a premier digital marketing agency specializing in healthcare marketing. Our comprehensive services include SEO, social media marketing, content marketing, and influencer collaborations, all aimed at enhancing our clients' online presence and engagement. brandingpioneers.com Role Overview: As an AI Analytics Intern, you will work closely with our Data Science and AI teams to extract insights from complex datasets, build predictive models, and support data-driven decision-making across the organization. Key Responsibilities: Assist in collecting, cleaning, and organizing large datasets from various sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies. Develop and test predictive models using machine learning algorithms. Use data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) to present analytical findings. Interpret data and communicate insights to technical and non-technical stakeholders. Support the team in developing AI tools, dashboards, and reports. Collaborate on A/B testing and optimization initiatives. Document processes, models, and results for knowledge sharing. Qualifications: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong foundation in statistics, data analysis, and machine learning. Experience with Python (NumPy, Pandas, Scikit-learn), R, or SQL. Familiarity with visualization tools like Power BI, Tableau, or libraries like Plotly. Understanding of AI/ML concepts and data modeling techniques. Knowledge of cloud platforms (AWS, Google Cloud, Azure) is a plus. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities. What You’ll Gain: Hands-on experience working with AI and analytics projects in a collaborative environment. Exposure to real business challenges and how AI-driven insights solve them. Mentorship from experienced AI and Data professionals. Opportunity to contribute to impactful projects with potential for a full-time offer. Job Type: Internship Contract length: 6 months Pay: 0 - 10 k per month Schedule: Day shift Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How many years of experience do you have in AI Analytics ? Location: Gurgaon, Haryana (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline :1 August 2025 Expected Start Date :7 August 2025 Job Type: Full-time Pay: ₹5,000.00 - ₹10,000.00 per month Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: Analytics: 1 year (Preferred) Location: Gurugram, Haryana (Preferred) Shift availability: Day Shift (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline: 01/08/2025 Expected Start Date: 07/08/2025

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

Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities - Develop, test, and maintain backend applications using Django, Flask, or FastAPI. Build RESTful APIs and integrate third-party services to enhance platform capabilities. Utilize data handling libraries like Pandas and NumPy for efficient data processing. Write clean, maintainable, and well-documented code that adheres to industry best practices. Participate in code reviews and mentor junior developers. Collaborate in Agile teams using Scrum or Kanban workflows. Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications . 2 to 5 years of experience in backend development with Python. Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. Strong command over at least one Python framework (Django, Flask, or FastAPI). Experience with data libraries like Pandas and NumPy. Understanding of authentication/authorization mechanisms, middleware, and dependency injection. Familiarity with version control systems like Git. Comfortable working in Linux environments. Must-Have Skills Expertise in backend Python development and web frameworks. Strong debugging, problem-solving, and optimization skills. Experience with API development and microservices architecture. Deep understanding of software design principles and security best practices. Good-to-Have Skills Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Knowledge of containerization tools (Docker, Kubernetes). Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). Familiarity with Agile practices and tools like Jira or Trello. Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks Competitive Salary: Earn up to ₹10 –18 LPA based on skills and experience. Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,800,000.00 per year Benefits: Leave encashment Paid sick time Paid time off Application Question(s): How many years of experience do you have working with Python in backend development? How comfortable are you with creating and integrating RESTful APIs? Rate your skills in between- 1 to 10. Do you have experience working with Pandas, NumPy, or any data processing libraries in Python? Your Expected Salary..? Your Current salary..? Experience: Python Developer: 3 years (Preferred) Work Location: In person

Job Title: Python Developer – AI/ML Focus About the Role: We are looking for a passionate and skilled Python Developer with a keen interest in Artificial Intelligence (AI) and Machine Learning (ML) technologies. You will be responsible for developing robust web applications, deploying scalable AI/ML models, and integrating modern data solutions to solve real-world problems. This role is ideal for professionals who are eager to work at the intersection of software development and intelligent systems. Key Responsibilities: Design, develop, and maintain web applications using Python frameworks such as Django , Flask , and FastAPI . Build, train, and deploy machine learning models using TensorFlow , PyTorch , and other AI/ML frameworks. Apply data analysis and visualization techniques using NumPy , Pandas , Matplotlib , and Seaborn . Develop RESTful APIs and microservices to support AI-driven applications. Utilize LangChain , LlamaIndex , Vector DBs (e.g., FAISS, Pinecone) for building LLM-based data applications. Perform web scraping using BeautifulSoup , Scrapy , and manage structured data pipelines. Work with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases to store, retrieve, and manage data securely. Integrate applications with cloud platforms like AWS , Azure , or GCP for seamless deployment and scaling. Collaborate with data scientists, DevOps engineers, and other cross-functional teams to deliver high-impact solutions. Stay up to date with advancements in the Python ecosystem , AI/ML models , and OpenAI technologies . Required Skills & Qualifications: Bachelor’s degree in Computer Science , Engineering , or a related field. 1–3 years of experience in Python programming and backend web development. Proficiency in Django , Flask , and FastAPI . Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch. Familiarity with LLMs , LangChain , LlamaIndex , and vector databases is a strong plus. Practical knowledge of data analysis libraries : NumPy, Pandas, Matplotlib. Understanding of API development , HTTP request handling , and web scraping techniques. Experience with cloud deployment on AWS , Azure , or Google Cloud Platform . Working knowledge of DevOps tools : Docker, Kubernetes, Jenkins (preferred). Proficient in version control systems like Git and GitHub. Basic frontend skills in HTML , CSS , and JavaScript . Strong communication skills and the ability to work in a collaborative team environment. Job Type: Full-time Pay: ₹16,478.20 - ₹50,000.00 per month Benefits: Paid time off Provident Fund Work from home Work Location: In person

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

Experience: 2+ years in AI/ML, with hands-on development & leadership Key Responsibilities: ● Architect, develop, and deploy AI/ML solutions across various business domains. ● Research and implement cutting-edge deep learning, NLP, and computer vision models. ● Optimize AI models for performance, scalability, and real-time inference. ● Develop and manage data pipelines, model training, and inference workflows. ● Integrate AI solutions into microservices and APIs using scalable architectures. ● Lead AI-driven automation and decision-making systems. ● Ensure model monitoring, explainability, and continuous improvement in production. ● Collaborate with data engineering, software development, and DevOps teams. ● Stay updated with LLMs, transformers, federated learning, and AI ethics. ● Mentor AI engineers and drive AI research & development initiatives. Technical Requirements: ● Programming: Python (NumPy, Pandas, Scikit-learn). ● Deep Learning Frameworks: TensorFlow, PyTorch, JAX. ● NLP & LLMs: Hugging Face Transformers, BERT, GPT models, RAG, fine-tuning LLMs. ● Computer Vision: OpenCV, YOLO, Faster R-CNN, Vision Transformers (ViTs). ● Data Engineering: Spark, Dask, Apache Kafka, SQL/NoSQL databases. ● Cloud & MLOps: AWS/GCP/Azure, Kubernetes, Docker, CI/CD for ML pipelines. ● Optimization & Scaling: Model quantization, pruning, knowledge distillation. ● Big Data & Distributed Computing: Ray, Dask, TensorRT, ONNX. ● Security & Ethics: Responsible AI, Bias detection, Model explainability (SHAP, LIME). Preferred Qualifications: ● Experience with real-time AI applications, reinforcement learning, or edge AI. ● Contributions to AI research (publications, open-source contributions). ● Experience integrating AI with ERP, CRM, or enterprise solutions. Job Types: Full-time, Permanent Pay: ₹100,000.00 - ₹500,000.00 per year Schedule: Day shift Application Question(s): What is your current CTC? Experience: AI: 2 years (Required) Machine learning: 2 years (Required) Work Location: In person

ROLES & RESPONSIBILITIES Qualifications and Skills: •Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. 5+ years of hands-on experience in data science or machine learning roles. Strong proficiency in Python or R, with deep knowledge of libraries like scikit-learn, pandas, NumPy, TensorFlow, or PyTorch. Proficient in SQL and working with relational databases. Solid experience with Azure cloud platforms and data pipeline tools. Strong grasp of statistical methods, machine learning algorithms, and model evaluation techniques. Excellent communication and storytelling skills with the ability to influence stakeholders. Proven track record of delivering impactful data science solutions in a business setting. Preferred Qualifications: Experience working in industries such as [logistics, aerospace, marketing, etc.]. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow). Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly). Responsibilities and Duties Model Development: Design, build, and deploy scalable machine learning models to solve key business challenges (e.g., customer churn, recommendation engines, pricing optimization). Data Analysis: Perform exploratory data analysis (EDA), statistical testing, and feature engineering to uncover trends and actionable insights. Project Leadership: Lead end-to-end data science projects, including problem definition, data acquisition, modeling, and presentation of results to stakeholders. Cross-functional Collaboration: Partner with engineering, product, marketing, and business teams to integrate models into products and processes. Mentorship: Guide and mentor junior data scientists and analysts, helping them grow technically and professionally. Innovation: Stay current with the latest data science techniques, tools, and best practices. Evaluate and incorporate new technologies when appropriate. Communication: Translate complex analyses and findings into clear, compelling narratives for non-technical stakeholders. EXPERIENCE 8-11 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science ABOUT THE COMPANY Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Jr. Software Engineer (AI ML) Experience Range : 0 to 2 years What is the work? Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 0-2 years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What skills and experience are we looking for? Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure. Apply (Gmail) Apply (Form)

Role & responsibilities: Requirement: AWS Cloud primary Skills: AWS Cloud with python Exp - 6- 10 Years Notice Period - 30 Days Location - Bangalore Preferred candidate profile Must have skills: coding in OOP language: Python Must have skills: and exposure to some of Pythons ML ecosystem (NumPy, panda, sklearn, TensorFlow, etc.) AWS services: Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.

Job Title: Python Developer Location: Hyderabad (On-Site) Job Type: Full-Time Experience: 4 to 7 Years Notice Period: Immediate to 15 Days Job Summary We are looking for a talented and motivated Python Developer with strong experience in building APIs using FastAPI and Flask. The ideal candidate will possess excellent problem-solving and communication skills and a passion for delivering high-quality, scalable backend solutions. You will play a key role in developing robust backend services, integrating APIs, and collaborating with frontend and QA teams to deliver production-ready software. Key Responsibilities Design, develop, and maintain backend services using FastAPI and Flask. Write clean, reusable, and efficient Python code following best practices. Work with Large Language Models (LLMs) and contribute to building advanced AI-driven solutions. Collaborate with cross-functional teams to gather requirements and translate them into technical implementations. Optimize applications for maximum speed, scalability, and reliability. Implement secure API solutions and ensure compliance with data protection standards. Develop and maintain unit tests, integration tests, and documentation for code, APIs, and system architecture. Participate in code reviews and contribute to continuous improvement of development processes. Required Skills & Qualifications Strong programming skills in Python with hands-on experience in backend development. Proficiency in developing RESTful APIs using FastAPI and Flask frameworks. Solid understanding of REST principles and asynchronous programming in Python. Good communication skills and the ability to troubleshoot and solve complex problems effectively. Experience with version control tools like Git. Eagerness to learn and work with LLMs, Vector Databases, and other modern AI technologies. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to Have Experience with LLMs, Prompt Engineering, and Vector Databases. Understanding of Transformer architecture, Embeddings, and Retrieval-Augmented Generation (RAG). Familiarity with data processing libraries like NumPy and Pandas. Knowledge of Docker for containerized application development and deployment. Skills Python, FastAPI, Flask, REST APIs, Asynchronous Programming, Git, API Security, Data Protection, LLMs, Vector DBs, Transformers, RAG, NumPy, Pandas, Docker. If you are passionate about backend development and eager to work on innovative AI solutions, we would love to hear from you! Skills: llms,flask,numpy,git,transformers,python,asynchronous programming,rag,docker,api,data protection,vector databases,api security,fastapi,rest apis,pandas

🤖 Machine Learning Intern – Remote | Learn AI by Building It 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate After Completion || Letter of Recommendation (6 Months) 🕒 Schedule: 5–7 hrs/week | Flexible Timing Join Skillfied Mentor as a Machine Learning Intern and move beyond online courses. You’ll work on real datasets, build models, and see your algorithms in action — all while gaining experience that hiring managers actually look for. Whether you're aiming for a career in AI, data science, or automation — this internship will build your foundation with hands-on learning. 🔧 What You’ll Do: Work with real datasets to clean, preprocess, and transform data Build machine learning models using Python, NumPy, Pandas, Scikit-learn Perform classification, regression, and clustering tasks Use Jupyter Notebooks for experimentation and documentation Collaborate on mini-projects and model evaluation tasks Present insights in simple, digestible formats 🎓 What You’ll Gain: ✅ Full Python course included during the internship ✅ Hands-on projects to showcase on your resume or portfolio ✅ Certificate of Completion + LOR (6-month internship) ✅ Experience with industry-relevant tools & techniques ✅ Remote flexibility — manage your time with just 5–7 hours/week 🗓️ Application Deadline: 30th July 2025 👉 Apply now to start your ML journey with Skillfied Mentor

🤖 Data Science Intern – Remote | Real Projects, Real Skills, Real Impact 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate after Completion || Letter of Recommendation (6 Months) 🕒 Schedule: Flexible (5–7 hours/week) Are you passionate about data, AI, and problem-solving? Join Skillfied Mentor and step into the world of data science with real projects, hands-on mentoring, and practical tools. This virtual internship is designed for students and fresh graduates who want to build real experience working on machine learning models , data pipelines , and predictive analytics . 🔧 What You’ll Do: Clean and prepare data for analysis and modeling Perform EDA to uncover hidden insights in large datasets Build and train basic machine learning models using Python Work on tools like Pandas, NumPy, Scikit-Learn, Jupyter Present findings in visual formats using Matplotlib/Seaborn Collaborate with peers and mentors during project reviews 🎓 What You’ll Gain: ✅ Full Python Course included during internship ✅ Hands-on experience with real-world ML and DS projects ✅ Internship Certificate + LOR (6 Months) ✅ Projects that enhance your resume and portfolio ✅ Work with tools & libraries used in the industry ✅ Fully remote – manage your schedule (5–7 hrs/week) 🗓️ Application Deadline: 30th July 2025 👉 Apply now and launch your Data Science journey with Skillfied Mentor!

Python Solution Architect (10+ Years) Location: Trivandrum/Cochin We are seeking an experienced Python Solution Architect to join our dynamic team. In this role, you will be responsible for designing and implementing scalable, high-performance software solutions that meet business requirements. You will collaborate with cross-functional teams to define architecture, best practices, and oversee the development process. Job Responsibilities • Architect scalable, efficient, and high-performance Python-based applications. • Design microservices architecture and cloud-native solutions using Python frameworks (e.g., Django, Flask, FastAPI). • Ensure Python solutions align with business goals and enterprise architecture. • Design and manage RESTful APIs and web services, leveraging Python's capabilities. • Expertise in selecting the right Python frameworks, libraries, and tools for different use cases. • Architect and optimize database interactions, including SQL and NoSQL databases. • Ensure efficient data processing, ETL pipelines, and integrations with data analytics platforms (e.g., Pandas, NumPy, SQLAlchemy). • Design seamless integrations with third-party services, APIs, and external systems using Python-based solutions. • Ensure smooth data flow between Python applications and other enterprise systems. • Architect solutions in cloud environments (AWS, GCP, Azure) using Python. • Implement CI/CD pipelines for Python projects and manage infrastructure-as-code (Terraform, Ansible). • Ensure security best practices in Python code (e.g., OWASP, cryptography, input validation). • Lead efforts to comply with data protection and regulatory requirements in Python solutions. • Provide guidance to Python developers on architectural decisions, design patterns, and code quality. • Mentor teams on Python best practices, writing clean, maintainable, and efficient code. • Work closely with customers, business analysts, project managers, and development teams to understand requirements. • Communicate complex technical concepts to non-technical stakeholders. • Ensure solutions address functional and non-functional requirements (e.g., performance, scalability, security). Preferred Skills • Deep knowledge of Python frameworks like Django, Flask, or FastAPI. • Proficiency with asynchronous programming in Python (e.g., asyncio, concurrent.futures). • Hands-on experience with designing and deploying microservices-based architectures. • Understanding of containerization technologies like Docker and orchestration tools like Kubernetes. • Strong experience with AWS, GCP, or Azure for deploying and scaling Python applications. • Familiarity with cloud services like Lambda (AWS), Cloud Functions (GCP), or similar. • Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI, CircleCI). • Knowledge of Infrastructure-as-Code (IaC) tools like Terraform or Ansible. • Proficiency with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis). • Experience with database optimization, indexing, and query tuning. • Strong understanding of RESTful APIs, GraphQL, and API documentation standards (e.g., OpenAPI/Swagger). • Experience with integrating third-party services via APIs. • Proficient with Git, GitHub, or GitLab for version control and collaboration in Python projects. • Familiarity with branching strategies (e.g., GitFlow) and code review practices. • Experience with Python security tools and practices (e.g., PyJWT, OAuth2, secure coding). • Familiarity with encryption, authentication, and data protection standards. • Hands-on experience working in Agile environments, familiar with Scrum or Kanban. • Ability to break down complex technical tasks into sprints and manage backlogs. • Knowledge of popular Python AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn. • Experience with deploying machine learning models in production environments

HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Architect Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Designing and Architecting End-to-End AI/ML Solutions for Marketing: The architect is responsible for designing robust, scalable, and secure AI/ML solutions specifically tailored for marketing challenges. This includes defining data pipelines, selecting appropriate machine learning algorithms and frameworks (e.g., for predictive analytics, customer segmentation, personalization, campaign optimization, sentiment analysis), designing model deployment strategies, and integrating these solutions seamlessly with existing marketing tech stacks and enterprise systems. They must consider the entire lifecycle from data ingestion to model monitoring and retraining. Technical Leadership: The AI/ML architect acts as a technical leader, providing guidance and mentorship to data scientists, ML engineers, and other development teams. They evaluate and select the most suitable AI/ML tools, platforms, and cloud services (AWS, GCP, Azure) for marketing use cases. The architect is aso responsible for establishing and promoting best practices for MLOps (Machine Learning Operations), model versioning, continuous integration/continuous deployment (CI/CD) for ML models, and ensuring data quality, ethical AI principles (e.g., bias, fairness), and regulatory compliance (e.g., data privacy laws). Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 15+ years of Experience across Data Architecture, Data Science and Machine Learning. Experience in delivering AI/ML models for Marketing Outcomes like Customer Acquisition, Customer Churn, Next Best Product or Offer. This is a mandatory requirement. Experience with Customer Data Platforms (CDP) and Marketing Platforms like Unica, Adobe, SalesForce, Braze, TreasureData, Epsilon, Tealium is mandatory. Experience with AWS SageMaker is advantageous Experience with LangChain, RAG for Generative AI is advantageous. Experience with ETL process and tools like Apache Airflow is advantageous Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Ability to work well within an agile team environment and apply the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required

HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with LangChain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required

The 2-month online internship program is offered by leading scientists of Gilbert Research Center . Gilbert Research Center is one of the most reputed and notable research centres in India. What you'll learn from this Online-Internship Basics of Mathematics - Linear Algebra, Probability, Differential Equations Fundamentals of Python Programming Language Fundamentals of Statistics, Statistical Power Analysis & Optimization. Machine Learning Algorithms - Linear, Multiple, Non-Linear Regression, Correlation, Gradient Descent & PCA Fundamental of Neural Networks, Convolution & Deep Learning ( CNN - Convolutional Neural Network). Image Processing, Medical Image Processing - X-ray modality. Industry-relevant projects discussion and implementation, fundamental programming assignments, and attending mentorship sessions of our Scientists. You'll get basic and complete Industry-related knowledge for your recruitment process at Gilbert Research Center , career shift , and other job opportunities . You'll get core knowledge of machine learning & data science from a leading scientist. This program definitely boosts your professional career and promotion. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their assignment performance. Our internship provide to grab a job at Gilbert Research Center, a software industry, fin-tech company based on data science and machine learning. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their performance. Our internship provides a bridge to grab a job opportunity in a software or fin-tech company based on data science and machine learning. Job Role Assigned with Mentorship with Scientist: One of the most reputed research centres in India, Gilbert Research Center invites high-level top leading Internship positions in organizations. It's an Online-Internship Programme. The working location is completely Online . You don't need to switch your locations. It's an Internship Programme working 2 -Months Programme. Our high-level Internship Programme will be mentored and guided by the leading Scientists of Gilbert Research Center. Your role would be to lead a high-level Internship Programme by allocating Industry relevant projects, fundamental programming assignments, and attending mentorship classes of our Scientists. Youll have experience collaborating with our leading Scientists to make your career as Industry-Academic. You'll get top experience in Industry Readiness & Trending topics . Selection is based on a pure merit basis. The interview will be conducted for Shortlisting applicants.

As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities Collaborate with clients to understand their business processes, goals, and requirements. Design and implement AI/ML solutions using state-of-the-art techniques and methodologies. Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions. Work with cross-functional teams to map AI/ML solutions to client business processes. Perform data analysis, data preprocessing, and feature engineering as needed. Conduct hypothesis testing, feature extraction, feature selection, cross-validation. Develop and deploy machine learning models in a production environment. Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation. Communicate findings and insights effectively to both technical and non-technical stakeholders. Ensure project deliverables meet high-quality standards and are completed on time and within budget. Qualifications Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field. At least 3 to 5 years of hands-on experience in designing and delivering AI/ML solutions. Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification. Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus. Proficiency in programming languages such as Python or R. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with MLOps is a plus Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and presentation skills.

About Us: Founded in 2008, Red & White is Gujarat's leading NSDC & ISO-certified institute, focused on industry-relevant education and global employability. Role Overview: Hiring faculty to teach AI/ML & Data Science, guide projects, mentor students, and stay updated with tech trends. Key Responsibilities: Conduct lectures on AI, Machine Learning, and Data Science. Create and update course content and projects. Guide students on practical work and research. Mentor students in academics and career planning. Stay updated with latest trends in AI/ML and Data Science. Evaluate student performance and provide feedback. Contribute to curriculum development. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Masters/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in

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

"Key Responsibilities: Develop and implement open-source and proprietary Large Language Models (LLMs). Design, train, and deploy machine learning and deep learning algorithms. Integrate AI capabilities using Langchain, Pinecone, ChromaDB, and other AI frameworks. Apply data preprocessing techniques (feature engineering, normalization, dimensionality reduction). Optimize models through experimentation, tuning, and continuous improvement. Stay current with advancements in AI research, publications, and tools. Collaborate with backend developers to implement RESTful APIs. Create and maintain high-quality technical documentation. Debug and upgrade existing systems, incorporating user feedback. Write and manage performant, scalable APIs and services. Skills & Qualifications: Proficient in Python and frameworks such as Django REST Framework. Strong command of AI libraries: NumPy, NLTK, SpaCy, Torch, Sentence-Transformers, TensorFlow, PyTorch, scikit-learn. Experience with prompt engineering and AI-powered NLP tools. Familiarity with Generative AI (GenAI) approaches. Proficient in MySQL, vector databases (e.g., Pinecone, ChromaDB), and API/plugin integrations. Solid foundation in object-oriented programming, scalable application development, and use of Bitbucket or similar version control tools. Basic knowledge of front-end technologies: HTML5, CSS3/4, JavaScript, Ajax, XML. Experience with Agile methodologies and Test-Driven Development (TDD) environments. Exposure to NLP, Computer Vision, or other specialized AI domains is an advantage."