Technical Sales Engineer

Strong Podcast & Video Script writing Profile

Mandatory (Experience 1) – Must have 2+ YOE in creative scripting and narrative design for Podcasts

Mandatory (Experience 2) - Must have strong exposure to Finance industry, and should be able to simplify complex Financial subjects into engaging story-based scripts

Mandatory (Skills) – Must have hands-on expertise with AI/GenAI tools (e.g., Wondercraft, Heygen, NotebookLM, ElevenLabs) for content creation, prompting, and production at scale.

Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding.

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (Preferably Top product companies, AI native companies, B2B SaaS)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Mandatory (Note): Candidates who have owned end-to-end product development or worked on app development projects during their graduation will be highly preferred.

Mandatory (Note 2): The role offers a mix of work setups, including remote, Mumbai (in-office), and Bangalore (in-office) opportunities

Key Responsibilities:

• Monitor and manage accounts receivable to ensure timely payment collection.
• Follow up with clients/customers via phone, email, and letters regarding outstanding dues.
• Maintain accurate records of collections and payment status.
• Coordinate with internal departments to resolve billing discrepancies and disputes.
• Prepare recovery status reports and highlight overdue accounts to management.
• Recommend action plans for delinquent accounts and assist in initiating legal recovery, if required.
• Ensure compliance with internal financial policies and procedures.

Issuing domestic, International flight tickets

Co-ordinating with the airlines

Preferred knowledge of IATA, GDS, Amadeus, Abacus Sabre

• Job Title:- Sales Manager
• Exp:- 2yr to 4yrs
• Location:- C.G Road, A’bad
• No. of Days Working:- 6 Days

• Recruit the insurance sales advisers from your own network who would represent and sell Life Insurance products in the market.
• Training the sales advisers on products and sales to meet business targets.
• Fix customer appointments and visit potential customers for new business.
• Make the customer understand about the various benefits available in the plan check whether it meets with the customers requirements.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

·      4+ years of experience as a Python Developer.

·      Good Understanding of Object-Oriented Concepts and Solid principles.

·      Good Understanding in Programming and analytical skills.

·      Should have hands on experience in AWS Cloud Service like S3, Lambda functions Knowledge. (Must Have)

·      Should have experience Working with large datasets (Must Have)

·      Proficient in using NumPy, Pandas. (Must Have)

·      Should have hands on experience on Mysql (Must Have)

·      Should have experience in debugging Python applications (Must have)

·      Knowledge of working on Flask.

·      Knowledge of object-relational mapping (ORM).

·      Able to integrate multiple data sources and databases into one system

·      Proficient understanding of code versioning tools such as Git, SVN

·      Strong at problem-solving and logical abilities

·      Sound knowledge of Front-end technologies like HTML5, CSS3, and JavaScript 

·      Strong commitment and desire to learn and grow.