At Bayshore Intelligence Solutions, we collaborate with Fortune 500 companies, innovative startups, and leading government universities as a trusted software development and training partner. Our services span a broad range of technology solutions, with a strong focus on Digital Transformation Consulting, Agentic AI, and Digital Twin technologies. We also specialize in building AI-powered software applications tailored to modern business needs. Our team, based in India and led from our headquarters in California, includes experienced GenAI developers, data scientists, and software engineers. Together, we are driving innovation in AI and enterprise application development—delivering solutions that are not only cutting-edge but built for scale and impact. As we continue to expand, we are seeking two Data Science Interns who are passionate about learning, eager to contribute to real-world AI and data projects, and ready to grow in a collaborative, fast-paced environment. Join us as we engineer trust and success in every line of code. Key Responsibilities: Work closely with our data science, engineering, and product teams to support ongoing AI and analytics projects. Assist in collecting, cleaning, and preparing datasets from various sources (SQL/NoSQL). Perform exploratory data analysis (EDA) to uncover trends and insights. Support the development and evaluation of machine learning models. Contribute to experiments involving Natural Language Processing (NLP) or Computer Vision, based on interest and project needs. Document findings, models, and processes clearly. Stay updated on the latest trends and techniques in data science and machine learning. Participate in brainstorming sessions and internal discussions to contribute ideas and solutions. Requirements: Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong foundation in Python and libraries such as NumPy, Pandas, and scikit-learn. Deep understanding of machine learning concepts and algorithms. Very good exposure to NLP and Computer Vision. Good Understanding of LLMs like OpenAI, Gemini, Llama, Claude, and DeepSeek. Familiarity with SQL and/or NoSQL databases. Enthusiastic about learning and applying data science techniques to solve real problems. Good communication skills and ability to work in a fast-paced team environment. Good to Have: Hands-on exposure to TensorFlow or PyTorch. Knowledge of cloud platforms (AWS, Azure, GCP). Basic understanding of APIs or model deployment. Familiarity with Git, Docker, or containerized environments. Internship Details: Location: Kolkata, India (Hybrid) Duration: 3 months (extension or full-time offer based on performance) Start Date: Immediate or within 15–30 days Job Type: Internship Contract length: 3 months Pay: From ₹10,000.00 per month Schedule: Day shift Monday to Friday Ability to commute/relocate: Salt Lake, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience building GenAI applications using OpenAI, Gemini, Llama, Claude, DeepSeek, etc.? Location: Salt Lake, Kolkata, West Bengal (Required) Work Location: In person Expected Start Date: 01/07/2025
At Bayshore Intelligence Solutions, we collaborate with Fortune 500 companies, innovative startups, and leading government universities as a trusted software development and training partner. Our services span a broad range of technology solutions, with a strong focus on Digital Transformation Consulting, Agentic AI, and Digital Twin technologies. We also specialize in building AI-powered software applications tailored to modern business needs. Our team, based in India and led from our headquarters in California, includes experienced GenAI developers, data scientists, and software engineers. Together, we are driving innovation in AI and enterprise application development—delivering solutions that are not only cutting-edge but built for scale and impact. As we continue to expand, we are seeking two Data Science Interns who are passionate about learning, eager to contribute to real-world AI and data projects, and ready to grow in a collaborative, fast-paced environment. Join us as we engineer trust and success in every line of code. Key Responsibilities: Work closely with our data science, engineering, and product teams to support ongoing AI and analytics projects. Assist in collecting, cleaning, and preparing datasets from various sources (SQL/NoSQL). Perform exploratory data analysis (EDA) to uncover trends and insights. Support the development and evaluation of machine learning models. Contribute to experiments involving Natural Language Processing (NLP) or Computer Vision, based on interest and project needs. Document findings, models, and processes clearly. Stay updated on the latest trends and techniques in data science and machine learning. Participate in brainstorming sessions and internal discussions to contribute ideas and solutions. Requirements: Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong foundation in Python and libraries such as NumPy, Pandas, and scikit-learn. Deep understanding of machine learning concepts and algorithms. Very good exposure to NLP and Computer Vision. Good Understanding of LLMs like OpenAI, Gemini, Llama, Claude, and DeepSeek. Familiarity with SQL and/or NoSQL databases. Enthusiastic about learning and applying data science techniques to solve real problems. Good communication skills and ability to work in a fast-paced team environment. Good to Have: Hands-on exposure to TensorFlow or PyTorch. Knowledge of cloud platforms (AWS, Azure, GCP). Basic understanding of APIs or model deployment. Familiarity with Git, Docker, or containerized environments. Internship Details: Location: Kolkata, India (Hybrid) Duration: 3 months (extension or full-time offer based on performance) Start Date: Immediate or within 15–30 days Job Type: Internship Contract length: 3 months Pay: From ₹10,000.00 per month Schedule: Day shift Monday to Friday Ability to commute/relocate: Salt Lake, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience building GenAI applications using OpenAI, Gemini, Llama, Claude, DeepSeek, etc.? Location: Salt Lake, Kolkata, West Bengal (Required) Work Location: In person Expected Start Date: 01/07/2025
Role: Full-Stack Intern (React 18 + FastAPI + AWS) Length: 12 weeks, flexible start Compensation: We’re bootstrapped; real reward is experience + a guaranteed full-time conversation if we both love the fit. Numbers will be discussed only at the offer stage—no surprises, no empty promises. The mission We’re engineers shipping the fastest way for data teams to turn SQL into interactive dashboards. No red tape in execution—just code that ships to real users every week. What you’ll actually do Extend our drag-and-drop React canvas (MUI + Ant Design) Build & optimize FastAPI endpoints that talk to Aurora Postgres and Redshift Deploy your own features to AWS EKS via GitHub Actions Sit in on user calls, file the bug, fix the bug, celebrate the bug Stack you’ll learn inside-out React 18 • Redux Toolkit • MUI & Ant Design • FastAPI • Pydantic • SQLAlchemy • Aurora Postgres • Redshift • S3 • Lambda • Kubernetes • SAML/JWT auth About you You build things—show us a repo, demo, or weekend experiment Comfortable in React or Python; we’ll pair you with a senior mentor to level-up the other Available ~40 hrs/week for 12 weeks Bonus points: data grids, SQL tuning, or container chops Why this isn’t a “typical” internship ✅ You’ll be intern #1—zero legacy code ✅ Weekly 1:1s with founders who shipped products used by millions ✅ Your code hits prod in days, not quarters ✅ Clear conversion path: previous interns now lead whole modules ✅ Fully remote, async culture with optional monthly IRL hack-days (travel covered) How to apply 100-word intro about you Link to GitHub / portfolio / anything you’re proud of 60-second Loom or short video walkthrough of one thing you built Send Email to: [email protected] Subject: “Zero-to-One Intern – Come build version 1.0 with us and turn your internship into a founding-team story. Job Type: Internship Contract length: 3 months Pay: Up to ₹5,000.00 per month Schedule: Day shift Application Deadline: 28/07/2025 Expected Start Date: 01/08/2025
Position: Operations Research Analyst Location: Bengaluru (hybrid flex) Experience: 2 - 4 years in analytics/OR/optimization Education: Master's or Bachelor’s in Operations Research, Industrial Engineering, Applied Math, Statistics, Computer Science or related. Key Responsibilities: Collaborate with cross-functional teams to define business problems and translate them into quantitative models (e.g., optimization, simulation, forecasting). Extract, clean and analyse large datasets; identify key drivers, bottlenecks and opportunities for process improvement. Develop mathematical/OR models (e.g., linear programming, integer programming, simulation) to support decision-making (resource allocation, scheduling, supply-chain, manufacturing). Implement and validate model prototypes; run what-if or sensitivity analyses and present actionable recommendations to stakeholders. Monitor model performance, track outcomes, and iteratively refine models; document assumptions, methods and results for business users. Communicate complex analytical results in clear, non-technical language; create dashboards or visualizations to track key metrics and business impact. Key Skills & Qualifications: Solid programming/statistical skills in e.g., Python, R, MATLAB, or similar. Experience with optimisation solvers/tools (e.g., CPLEX, Gurobi, or open-source equivalents) and simulation packages. Strong SQL/database skills; experience working with large datasets and extracting insights. Good understanding of operations research techniques (e.g., linear/integer programming, simulation, queues, network flows). Ability to translate business questions into modelling frameworks and present results credibly to business and technical stakeholders. Comfortable working in a dynamic environment, collaborating across teams, and managing ambiguity. Preferred: Experience in manufacturing/operations/supply-chain domain is a plus. Prior exposure to dashboarding tools (e.g., PowerBI, Tableau) will be beneficial. Some exposure to “end-to-end” solution deployment (data through to insights) would be valued.
Education : Master's or Bachelor’s in Operations Research, Industrial Engineering, Applied Math, Statistics, Computer Science or related. Experience : 2-4 years in analytics/OR/optimization Key Responsibilities: Collaborate with cross-functional teams to define business problems and translate them into quantitative models (e.g., optimization, simulation, forecasting). Extract, clean and analyse large datasets; identify key drivers, bottlenecks and opportunities for process improvement. Develop mathematical/OR models (e.g., linear programming, integer programming, simulation) to support decision-making (resource allocation, scheduling, supply-chain, manufacturing). Implement and validate model prototypes; run what-if or sensitivity analyses and present actionable recommendations to stakeholders. Monitor model performance, track outcomes, and iteratively refine models; document assumptions, methods and results for business users. Communicate complex analytical results in clear, non-technical language; create dashboards or visualisations to track key metrics and business impact. Key Skills & Qualifications: Solid programming/statistical skills in e.g., Python, R, MATLAB, or similar. Experience with optimisation solvers/tools (e.g., CPLEX, Gurobi, or open-source equivalents) and simulation packages. Strong SQL/database skills; experience working with large datasets and extracting insights. Good understanding of operations research techniques (e.g., linear/integer programming, simulation, queues, network flows). Ability to translate business questions into modelling frameworks and present results credibly to business and technical stakeholders. Comfortable working in a dynamic environment, collaborating across teams, and managing ambiguity. Preferred : Experience in manufacturing/operations/supply-chain domain is a plus. Prior exposure to dashboarding tools (e.g., PowerBI, Tableau) will be beneficial. Some exposure to “end-to-end” solution deployment (data through to insights) would be valued. Job Type: Full-time Pay: ₹2,000,000.00 - ₹2,500,000.00 per year Expected Start Date: 01/12/2025