Careers - AIBridge ML Pvt Ltd

    Skills and Experience (2 - 6 years):

    As a Senior Data Scientist, you will play a pivotal role in extracting valuable insights from complex data sets. Your expertise in statistical analysis, machine learning, and data visualization will drive data-driven decision-making across the organization. You’ll collaborate with cross-functional teams to solve challenging business problems and contribute to the development of innovative solutions.


    1. Data Exploration and Pre-processing:

    • Clean, transform, and pre-process large-scale data sets.
    • Identify relevant features and perform exploratory data analysis (EDA).

    2. Model Development and Evaluation:

    • Develop predictive models using machine learning algorithms (e.g., regression, classification, clustering).
    • Evaluate model performance, fine-tune hyperparameters, and optimize for accuracy.

    3. Feature Engineering:

    • Create meaningful features from raw data to enhance model performance.
    • Leverage domain knowledge to engineer relevant features.

    4. Statistical Analysis:

    • Conduct hypothesis testing, A/B testing, and statistical inference.
    • Interpret results and provide actionable recommendations.

    5. Data Visualization:

    • Create informative visualizations to communicate insights effectively.
    • Use tools like Matplotlib, Seaborn, or Tableau.

    6. Collaboration and Communication:

    • Work closely with cross-functional teams (engineering, product, business) to understand requirements.
    • Present findings to stakeholders in a clear and concise manner.

    7. Mentoring and Leadership:

    • Guide junior data scientists and provide technical leadership.
    • Stay updated with industry trends and best practices.


    • B.Tech, B.E. or Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
    • Minimum of 5 years of experience in data science or related roles.
    • Proficiency in Python, R, or similar programming languages.
    • Strong knowledge of machine learning techniques (e.g., regression, decision trees, neural networks).
    • Experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP).
    • Excellent problem-solving skills and a passion for solving real-world challenges.


    • Competitive salary and benefits package.
    • Opportunity to work on cutting-edge projects.
    • Collaborative and inclusive work environment.
    • Professional growth and development opportunities.

    If you’re passionate about leveraging data to make a meaningful impact, we’d love to hear from you! Apply now and join our dynamic team of data enthusiasts.


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    Are you Passionate about AI, ML & Data Science?

    Skills and Experience (0 - 2):

    • Graduate with Strong mathematical and statistical skills and understanding
    • Prefer with some Development and enhancement experience of machine learning and statistical models.
    • Some experience in working with Python, R, SQL
    • Some experience in working with libraries in Python
    • Familiarity with NLP(Natural language processing)
    • Be flexible and ready to learn

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    Skills and Experience (Project Manager (10+Years)):

    • Experienced in Microsoft
    • Experienced in Scrum/Agile model delivery
    • Excellent written and verbal communication
    • Experienced in Azure preferably and MS tech stack
    • Primary function includes Project Management, Client Management and Team Leadership.
    • Lead complex projects/programs from conceptual design to implementation and manage delivery of Microsoft based solutions.
    • Own the application development lifecycle and leverage Agile/Iterative methodology to deliver software systems in short but progressive and impactful cycles. Manage project priorities and resource assignments to ensure adequate resources are available for successful projects
    • Scope project work through discovery of business requirements, non-functional requirements and translation to technical work effort, SDLC project plans and work breakdown scheduling.
    • Manages project work in alignment with the Statement of Work (SOW) obligations and ensures accurate team reporting of billable hours for efficient client invoicing against the project budget on a periodical basis.
    • Manage projects to an acceptable level of risk by balancing scope, time, cost and quality, while maintaining a positive environment that promotes individual development and high performance standards.
    • Oversee the development and tracking of integrated project plans. Adapt and apply the Company delivery approach to meet project objectives and client business drivers. Establish and maintain project communication.
    • Oversee project estimations, and development of project deliverable. Establish and maintain processes to manage scope throughout the project lifecycle. Identify and manage project issues.
    • Partner with others to lead teams of individuals. Build and structure project teams to ensure maximum performance. Provide purpose, direction and motivation to team. Clarify and communicate project objectives and success criteria.
    • Responsible for ongoing client satisfaction. Manage peer-level client relationships (expectation, communication, negotiation, escalation, feedback, etc.). Develop relationship with key client stakeholders and client executives.
    • 3rd party management responsibilities
    • Following up if delivery is not meeting expectations
    • Ability to follow hardware and software best practices as defined by the Managed Services management
    • Technical background in IT Delivery
    • PMP Certified is a plus
    • Experience:  8 + years of relevant work experience
    • Qualification B.E / M.C.A / M.E / MBA (with strong technical background)

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