2502 Data Science Jobs - Page 7

BKMSOLVENTS is looking for Social Media Analytics Professional to join our dynamic team and embark on a rewarding career journey Data Collection: Gathering data from various social media platforms, including metrics like likes, shares, comments, and followers, as well as qualitative data related to user sentiment and feedback. Data Analysis: Using data analysis tools and techniques to identify trends, patterns, and insights from social media data. This may involve data visualization, sentiment analysis, and statistical analysis. Performance Metrics: Monitoring and reporting on key performance indicators (KPIs) such as engagement rates, click-through rates, conversion rates, and follower growth. Competitive Analysis: Analyzing the social media activities of competitors to identify opportunities, gaps, and best practices. Audience Insights: Understanding the demographics, preferences, and behaviors of the target audience to create more effective content and campaigns. Campaign Assessment: Evaluating the effectiveness of social media marketing campaigns and providing recommendations for improvement. Content Strategy: Collaborating with social media and content teams to develop data-driven content strategies that resonate with the audience.

THE YOUNG WINGS is looking for Visa Specialist to join our dynamic team and embark on a rewarding career journey Visa Application Processing:Receive and review visa applications, ensuring all required documents are submitted Verify the accuracy and completeness of application forms and supporting materials Interviews and Verification:Conduct interviews with visa applicants to assess the purpose of travel and validate information Verify the authenticity of supporting documents provided by applicants Adherence to Immigration Policies:Interpret and apply immigration laws, policies, and regulations in the visa application process Stay updated on changes to immigration policies and communicate updates to relevant stakeholders Communication with Applicants:Communicate with visa applicants to provide information on application status, requirements, and procedures Address inquiries and provide assistance to applicants throughout the visa application process Decision Making:Evaluate visa applications based on established criteria and make informed decisions on approvals or rejections Document and record decisions in the visa processing system Collaboration with Authorities:Collaborate with government agencies, embassies, and consulates to obtain information and support in visa processing Liaise with relevant authorities to resolve complex cases or issues Record Keeping and Reporting:Maintain accurate and detailed records of visa applications and decisions Generate reports on visa application statistics and trends Customer Service:Provide excellent customer service to visa applicants, addressing concerns and ensuring a positive applicant experience Assist in resolving issues related to visa applications and entry requirements Assist clients in visa processing and documentation.

BITSTEK CONSULTING is looking for AI Intern to join our dynamic team and embark on a rewarding career journey Assist in developing AI models and algorithms. Conduct data preprocessing and analysis. Support AI project planning and execution. Collaborate with AI engineers and researchers on projects. Learn and apply AI techniques under supervision.

Role & responsibilities BA / Data Analyst Preferred candidate profile Exp: 10+Years Location: Bangalore or Chennai JD: 7+years of commercial project implementation experience ( Database | Data warehousing | ETL | BI | Big Data | Data Science ) Commercial experience working in Business Intelligence (SAP Analytics Cloud | Tableau | MS Power BI | MicroStrategy| Qlik ) Proficiency in SQL ( DML | DDL | DCL | TCL ) Commercial experience working on database/data warehouse projects ( Oracle | Exasol | SAP BW | Teradata ) Commercial experience creating ETL processes using data integration tools ( Dataiku | Informatica | Oracle DI | Talend | Pentaho DI | IBM DataStage

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Job Description Empower India Data Science team is looking for a Sr. Analyst who is capable of producing in-depth analysis that suggests strategic and operational changes. The ideal candidate will understand the business problem, collect and study relevant data and able to produce meaningful and actionable insights that helps to solve the business problem in hand. Role Responsibilities: Understand the complex business problem, able to convert it as an analytical problem. Understand the data need, collect, interpret and clean the data for analysis Produce meaningful insights using analytical/data modelling techniques and interpret and justify the results with the business context Handle the project end-to-end independently Able to present the analysis and results to the senior stakeholders Generate BI reports and able to automate them Work with management to prioritize business and information needs Educational Qualification: Graduate / Post-graduate degree in Business Management/Statistics/Economics/Finance Required Experience: 2-6 years of experience working in analytics, data science or related experience Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics like Machine Learning, AI, SAS, AWS, Python, Tableau etc. Working experience with tools such as Google Analytics/ Adobe Analytics Handling end-to-end projects independently Required skills and competencies: Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI. Strong analytical skills to be able to understand the business problem, collect and analyze the data and able to interpret the results Co-ordinate with different teams to be able to gather required information Strong written and verbal communication skill and be able to present the results to the senior stakeholders Good understanding of US Retirement Industry Self-motivation, excellent accountability and ownership skills Excellent team player This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract. We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

AVP/DVP Data Science AI, ML - Life Insurance - Goregaon AI & Machine Learning Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed. Partner with cross-functional teams to identify AI use cases and deliver measurable business value. Data Science & Analytics Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development. Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes. Leadership & Strategy • Mentor and guide junior team members, fostering their professional growth. Cloud Architecture & Engineering Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting. Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure. Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or Azure ML. Ensure scalable, secure, and cost-efficient architectures with robust CI/CD pipelines in cloud environments. Experience • 8+ years of experience in AI and Data Science roles. Required Skills Proficiency in Python and SQL. Strong expertise in machine learning frameworks like TensorFlow, PyTorch, Hugging Face, and scikit learn Hands-on expertise with large language models (LLMs), vector databases, and retrieval-augmented generation (RAG) techniques In-depth knowledge of cloud platforms, preferably GCP, but also AWS or Azure. Familiarity with data engineering tools such as BigQuery, Kafka, Snowflake. Sound knowledge of data privacy, governance, and ethical AI practices. Expertise in MLOps practices, including CI/CD pipelines, model monitoring, and A/B testing.

Data scientists, BULK HIRE - TOP RATED MNC !! Remote Location PERMANENT HIRE!! 100% remote applicable 100% REMOTE MUST: 6 to 9 years YEARS EXPERIENCE data scientist MAX 28L LPA IMMEDIATE JOINERS ONLY YOHI@AXYCUBE.IN Phone : 9108687980 Required Candidate profile MUST: 6+ yrs as data scientist Strong exp in python, R Language, power bi, AI is a plus Background verification Mandatory!! PF Mandatory!!

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.

Warm Greetings from SP Staffing!! Role :Data Scientist Experience Required :5 to 10 yrs Work Location :Hyderabad/Bangalore/Chennai Required Skills, Python GCP AI Platform, BigQuery ML, Cloud AutoML, and Vertex AI. Interested candidates can send resumes to nandhini.spstaffing@gmail.com

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

Location : Bangalore (Hybrid) Experience : 35 Years Work Mode : Hybrid (2–3 days onsite/week) Apply To : gopi.c@acesoftlabs.com | 9701923036 Job Description We are looking for a skilled and analytical Data Scientist to join our team. The ideal candidate should have hands-on experience in building and deploying machine learning models, working with large datasets, and generating actionable insights that drive business value. Key Responsibilities Develop and deploy machine learning and statistical models Analyze large datasets to uncover trends, patterns, and insights Build dashboards and visualizations to communicate findings Work closely with engineering, product, and business teams to understand requirements Implement ETL pipelines for data preprocessing and feature engineering Continuously evaluate and improve model performance Required Skills 3–5 years of experience as a Data Scientist Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch) Experience in SQL and working with relational or NoSQL databases Solid understanding of statistics , ML algorithms , and data structures Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) Experience deploying models into production environments Nice to Have Experience with Big Data technologies (Spark, Hadoop) Familiarity with Cloud platforms (AWS Sagemaker, GCP Vertex AI, Azure ML) Knowledge of MLOps tools (MLflow, Airflow, Docker) Experience with NLP or time-series modelin

Job Title: Data Scientist Location: Gurugram, Haryana Job Type: Full-Time ( WFO ) Experience Level: 2 to 4 Years Job Summary: We are seeking a highly motivated and detail-oriented Data Science Engineer with 24 years of experience to join our team in Gurugram. The ideal candidate will have a strong background in data engineering and data science, with hands-on experience building data pipelines and supporting analytics and model deployment. Experience working with Microsoft Azure cloud services is highly desirable. Key Responsibilities: Design and maintain scalable data pipelines and workflows. Collaborate with data scientists to prepare and manage datasets for analysis and modeling. Support deployment and integration of machine learning models. Work with cloud platforms (preferably Azure) to optimize data workflows and storage. Ensure data quality, security, and compliance across systems. Document all technical solutions and maintain up-to-date documentation. Required Skills and Qualifications: 2 to 4 years of hands-on experience in Data Science roles. Proficiency in Python and SQL. Experience with data libraries and frameworks like Pandas, NumPy, or PySpark. Familiarity with ML libraries such as scikit-learn or TensorFlow. Experience with version control tools like Git. Preferred Qualifications: Working experience with Microsoft Azure services, including: Azure Data Factory, Azure Machine Learning, Azure Synapse Analytics, Azure Blob Storage or Data Lake Exposure to Agile methodologies and collaborative development tools. What We Offer: Opportunity to work on meaningful, data-driven projects. Competitive compensation and benefits. Supportive and collaborative work environment. Learning and growth opportunities in a fast-paced setting.

Experience using Python, SciKit, SQL, Snowflake, hit-level Adobe Analytics data, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficiency with data mining, mathematics, and statistical analysis techniques. Required Candidate profile 5+ yrs experience as Data Scientist Strong knowledge with Deep Learning & Machine Learning,LLM knowledge & experience with SQL & python is must Must be from Ahmadabad or open to relocate to Ahmadabad

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.

We are seeking a passionate andskilled Data Scientist to join our dynamic team and help us drive innovationthrough advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills &Qualifications: \u200b 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. PreferredQualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Master degree in Computer Science, Statistics, Mathematics, or a related field.

We are seeking a passionate andskilled Data Scientist to join our dynamic team and help us drive innovationthrough advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills &Qualifications: 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. PreferredQualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Master degree in Computer Science, Statistics, Mathematics, or a related field.

Job Description Department: Research & Development Key Responsibilities: Architect and implement scalable, reliable cloud-based solutions. Oversee infrastructure management, ensuring seamless integration with Rust-based microservices. Implement and maintain CI/CD pipelines for automated deployments. Optimize cloud costs while ensuring high performance and reliability. Drive platform security, including compliance with industry standards. Automate workflows to improve operational efficiency. Collaborate with development and data science teams for platform integration. Required Skills and Qualifications: Expertise in cloud platforms like AWS, Azure, or Google Cloud. Expertise in architecting cloud infrastructure and security solutions. Strong knowledge of containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, Ansible). Good working knowledge of Open Search, Elastic Search Strong networking, security, and database management skills. Leadership experience with a proven ability to mentor and manage teams. Master s degree in Computer Science, Engineering, or related field. Knowledge of serverless architectures and edge computing. Exposure to observability tools and practices. Understanding of SRE (Site Reliability Engineering) principles.

Job Description Department: Research & Development Key Responsibilities: Lead the design, development, and deployment of data-driven solutions, leveraging Python and machine learning frameworks. Oversee data strategy, ensuring quality, governance, and security. Build and optimize predictive models to solve business challenges. Collaborate with cross-functional teams to integrate data science workflows with Rustbased microservices and cloud platforms. Mentor and guide the data science team, fostering a culture of continuous learning. Stay updated with the latest advancements in AI/ML and recommend their adoption. Required Skills and Qualifications: Proficiency in Python and data science libraries (TensorFlow, PyTorch, Pandas, Scikitlearn). Expertise in AI/ML algorithms, statistical modeling, and data visualization. Good to have experience with big data tools like Hadoop, Spark, or similar. Knowledge of deploying models in production environments. Strong understanding of data governance and compliance standards. Leadership experience with a focus on team management and innovation. Advanced degree in Data Science, Machine Learning, Statistics, or related field. Experience with real-time analytics and streaming data frameworks (e.g., Kafka, Flink). Familiarity with graph-based databases like Neo4j or JanusGraph. Knowledge of AutoML,MLops, frameworks and tools. Exposure to cloud-based AI/ML services (AWS SageMaker, Google AI Platform, Azure ML). Working Experiance on LLM, LAMA, Mistral, RAG, Agentised RAG, LORA, and Model Optimization

Job Description: Role : Data Scientist (5 to 8 years) Location: Bangalore This is Contract to Hire role . We are seeking a highly skilled and motivated Data Scientist with expertise in leveraging data to inform business strategy and drive product innovations. In this role, you will apply your expertise in machine learning and analytics. As Data Scientist you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities: Improve the performance of RCM processes by building and launching machine learning models such as insurance eligibility prediction Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses Define metrics and create dashboards to measure product performance Generate insights through deep-dive analysis to inform strategy and prioritization Collaborate with product, engineering, and marketing stakeholders to define the product roadmap Identify opportunities and initiate new data science projects that drive company OKRs Communicate technical insights effectively to influence decision-making Skills and Qualifications: You have a Masters degree in a relevant quantitative field (e.g. data science, computer science, statistics, economics) or equivalent in industry experience You have 5-8 years of experience as a data scientist supporting product development You are an expert in SQL You are proficient in either R or Python for data analysis You have successfully developed and launched ML models with quantifiable business impact You have experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch Notice Period: Immediate Joiner to 15 days Interested Candidates Share Resume at dipti.bhaisare@in.experis.com

About Us: Founded in 2008, Red & White is Gujarats leading NSDC & ISO-certified institute, focused on industry-relevant education and global employability. Role Overview: Were hiring a faculty member to teach AI, Machine Learning, and Data Science. The role includes delivering lectures, guiding projects, mentoring students, and staying updated with tech trends. 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/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

Experienced technology leader with 15+ years in software development, including 10+ years in senior management roles. Proven expertise in building and leading high-performing engineering teams, with a strong focus on innovation, Generative AI, and Data Science to drive performance. Skilled in product and infrastructure development across both startups and large organizations. Deep understanding of SDLC, Agile methodologies, and engineering strategy, including OKRs and roadmaps. Strong leadership, coaching, and communication skills, with a passion for cloud technologies, scalable systems, and delivering high-quality software. Adaptable, self-motivated, and driven by impact. Only considering applicants with a notice period of up to 30 days. For more information, please share your updated CV to admin@spearheadps.com OR via WhatsApp at [ 9899080360 ]. If you know someone who might be a good fit, please share this email with them.

Design, develop, and deploy AI/ML models; build scalable, low-latency ML infrastructure; run experiments; optimize algorithms; collaborate with data scientists, engineers, and architects; integrate models into production to drive business value. Required Candidate profile 5–10 yrs in AI/ML, strong in model development, optimization, and deployment. Skilled in Azure, ML pipelines, data science tools, and collaboration with cross-functional teams.

About the Role - We are seeking an experienced Senior Machine Learning Engineer to design, optimize, and deploy ML models that address real-world challenges. The ideal candidate will have 5+ years of expertise in machine learning, deep learning, and data science, with hands-on experience in real-time data processing. You will be responsible for improving model performance based on feedback and deploying them in production. Strong proficiency in Python is required. Key Responsibilities: Design and optimize machine learning models. Deploy ML models in production and improve performance. Work with real-time data to solve complex problems. Continuously enhance models based on field feedback. Skills Required: 5+ years of experience in machine learning and deep learning. Strong Python programming skills. Experience with real-time data and production deployment. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

About the Company: Brakes India is at the forefront of leveraging AI-driven analytics in manufacturing. We are setting up an Advanced Analytics team to drive data-driven decision-making across the organization. About the Role: We are looking for an experienced Senior Data Scientist who will be part of this new Center of Excellence (CoE) and help build a high-performing analytics team. In this role, you will leverage your expertise in data analysis, machine learning, and artificial intelligence to drive insights and develop innovative solutions. You will collaborate with business SMEs and other IT divisions to identify business challenges and implement data-driven strategies that enhance our products and processes, and helps grow our business. Responsibilities: The Senior Data Scientist will Collect, clean, and analyze large datasets to extract meaningful insights. Utilize statistical methods to interpret data and identify trends. Design, develop, and implement machine learning models and algorithms tailored to specific business needs. Optimize models for performance and accuracy. Work closely with stakeholders to define project goals and deliver actionable insights. Stay up-to-date with the latest Al/ML trends, tools, and technologies. Experiment with new approaches to enhance our data science capabilities. Present findings and recommendations to both technical and non-technical audiences. Prepare clear documentation for methodologies and results. Develop metrics to assess the effectiveness of models and solutions. Continuously monitor and improve model performance. Lead the CoE to meet its stated objectives for formulating policies, standards, ethics, tools, technology stack and procedures around the use of AI and ML in the organization, among others. Mentor data scientists and support in organizational skilling in AI. Qualifications: Masters or bachelors degree in computer science, Data Science, Statistics, or a related field. Required Skills: 5-7 years' experience in data science, machine learning, or artificial intelligence, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java, SQL Experience in ML Platforms like Azure Machine Learning, Databricks, Azure Data Factory and with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in working with Big Data technologies (eg Hadoop, Spark) & databases like Azure Data Lake, Delta Lake, Snowflake. Strong in MLOps & Deployment: Model training, versioning, monitoring, and deployment. Strong statistical analysis skills and experience with data visualization tools (e.g., Power BI, Matplotlib, Seaborn). Experience with deep learning frameworks and natural language processing (NLP). Understanding of business process and ability to translate business needs into technical requirements. Experience in AI/ML deployment Manufacturing industry is highly desired. Excellent problem-solving and critical-thinking skills. Strong communication and interpersonal skills. Experience in setting up CoEs or analytics practices is a plus. Why Join Us? Opportunity to be part of an Advanced Analytics CoE setup. Work on cutting-edge AI & ML projects in manufacturing. Direct impact on business-critical decisions and process optimization. Collaborative work culture with a focus on innovation and growth.

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : Language : Python , PySpark Framework : Django, Flask, Fastapi, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB), Good to have -SQL Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence Good to Have: agentic ai, ai agent A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python . - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.