Teaching Intern

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

We are looking for a skilled and detail-oriented Accountant  with 2-8yrs years of hands-on experience CA Firm in Bookkeeping, GST and TDS return filings, income tax return (ITR) preparation, audit support, and ROC compliance. The ideal candidate should possess a strong understanding of accounting principles and regulatory requirements.

Key Responsibilities:

• Maintain accurate records of daily financial transactions (bookkeeping).
• Prepare and file GST returns (GSTR-1, GSTR-3B, etc.) on a monthly/quarterly basis.
• Prepare and file TDS returns (Form 24Q, 26Q, etc.) and ensure timely payments.
• Assist in the preparation and filing of income tax returns (ITR) for individuals and businesses.
• Support statutory and internal audits, including preparation of audit schedules and documentation.
• Handle ROC compliance, including the preparation and filing of necessary forms and returns.
• Coordinate with auditors, consultants, and tax authorities when required.
• Reconcile bank statements, vendor payments, and ledgers on a regular basis.
• Ensure compliance with all applicable accounting standards, taxation laws, and regulatory requirements.

Requirements:

• Bachelor’s degree in commerce, Accounting, or a related field (B. Com/M. Com).
• 2–8yrs experience in CA firm or Company.
• Proficiency in accounting software such as Tally, Compu Tax, and MS Excel.
• Solid knowledge of GST, TDS, ITR processes, and ROC filings.
• Strong attention to detail, organizational skills, and ability to meet deadlines.
• Strong attention to detail and communication skills.

Job Opening: Business Development Executive (BDE)

Location: Old Vadaj, Ahmedabad (Work from office only)

Experience: 0.6 months to 3 years in an IT company

Salary: as per experience and industrial norms

Key Responsibilities:

• Generate leads through LinkedIn and other platforms.
• Schedule and conduct meetings with potential clients.
• Maintain accurate records of all sales activities, including calls, presentations, and closed deals.
• Execute lead-generation campaigns to drive business growth.
• Collaborate with team members to enhance sales strategies.

Skills Required:

• Experience in lead generation, particularly using LinkedIn.
• Strong verbal and written communication skills.
• Proficiency in data mining for sales purposes.
• Familiarity with LinkedIn Sales Navigator and other sales tools.
• Ability to work independently and as part of a team.
• Excellent organizational skills and attention to detail

Benefits:

•  5 Working Days a Week
•  Training Sessions & Monthly Events
•  Employee First Policy
•  Dedicated Pantry Area
•  Unparalleled Career Growth Opportunity
•  Birthday & Work Anniversary Celebrations

***Urgent Requirement ***

Job Role : Technical Support (Chat support)

Qualification : 12th Pass and above ( No B-tech and BE )

Experience : 0 to 3 Years

Location : Gachibowli, Hyderabad

Shifts : 24/7 Shifts ( Rotational shifts)

Working Days : 5 days & Rotational week offs

Training Period : 30 Days

Cab Facility : 1 Way

Radius : 15 kms Radius

Rounds Of Interview :

1) HR screening

2) Live Chat session

3) Kahoot Test : Technical, English Questions and Typing test (90% accuracy,30 WPM)

4) Operational Manager.

Job Description: Speech Recognition Engineer

3 years of industry experience

Responsibility:

 Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or

Deep Speech using PyTorch or Tensorflow

 Assist to define technology required for Speech to Text besides core engine

and to design integration of these technologies.

 Work on improvement of model's accuracy and guide the team with best practices.

Desired experience:

 Good understanding of machine learning(ML) tools.

 Should be well versed in classical speech processing methodologies like hidden

Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural

networks (ANNs), Language modeling, etc.

 Hands-on experience of current deep learning (DL) techniques like Convolutional

neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term

memory (LSTM), connectionist temporal classification (CTC), etc used for

speech processing is essential.

 The candidate should have hands-on experience and any of the end-to-end

implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep

Speech

 Hands-on PyTorch and Tensorflow experience is desirable.

 Experience in techniques used for resolving issues related to accuracy, noise,

confidence scoring etc.

 Ability to implement recipes using scripting languages like bash

 Ability to develop applications using python, c++, Java

 Knowledge of Transformer Models like BERT-base. ELMo, ULM-FIT

 Experience in CI/CD pipeline, MLOps processes

 Hands-on deployment experience using cloud applications like AWS, GCP

Location: Bangalore

Desirable Skills: ML, Knowledge of Speech Recognition frameworks such as ESPNET

or FairSeq or Athena or Deep Speech etc, Hands-on experience of deep learning (DL)

techniques like CNN, RNN, LSTM etc., AWS, GCP

• 8+Years of Exp in C++ Developement

Software: C++, Jenkins, Visual Studio, Linux, CheckMarx, GitHub, Google test framework.

Application Architecture: Scalable, Resilient, Cloud deployable, high performance based.

DB: Oracle

Libraries: CPLEX (knowledge of CPLEX is a plus)

Desired Candidate Profile

• 2+ years of experience in B2B Sales
• Experience in Logistics is preferred
• A structured sales process for winning complex enterprise deals
• Excellent communication skills
• An attitude to get things done and willingness to work in a high-growth start-up environment
• Excellent Relationship Management skills